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marketers",{"id":533,"name":534,"alternativeText":33,"caption":33,"width":167,"height":167,"formats":33,"hash":535,"ext":366,"mime":367,"size":536,"url":537,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":538,"updatedAt":538,"documentId":539,"publishedAt":373,"focalPoint":33},16242,"reportingcheet.svg","reportingcheet_e295249c75",0.69,"https://s3.us-east-2.amazonaws.com/whatagraph.com/reportingcheet_e295249c75.svg","2026-01-14T13:40:51.426Z","erqy74ya10m5qhuu0pn6n44r",{"id":27,"title":85,"url":86,"open_new_tab":17,"column":405,"subtitle":541,"svg":542},"Hear from industry leaders",{"id":543,"name":544,"alternativeText":33,"caption":33,"width":167,"height":167,"formats":33,"hash":545,"ext":366,"mime":367,"size":546,"url":547,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":548,"updatedAt":548,"documentId":549,"publishedAt":373,"focalPoint":33},16238,"webinars.svg","webinars_b295fc2850",0.68,"https://s3.us-east-2.amazonaws.com/whatagraph.com/webinars_b295fc2850.svg","2026-01-14T13:40:51.403Z","risc1zt1hxx1o5hg2thlmsy8",{},{"article":552,"bodySanitize":685,"relatedArticles":686,"banners":870},{"id":553,"title":554,"slug":555,"summary":556,"body":557,"read_time":76,"createdAt":558,"updatedAt":559,"publishedAt":560,"errors":33,"table_of_contents":34,"dateReorder":561,"documentId":562,"cover_image":563,"tags":583,"banners":33,"author":584,"seo":615,"FAQ":621,"article_category":672},3036,"NinjaCat pricing in 2026: ALL you need to know","ninjacat-pricing","\u003Cp>As of August 2026, NinjaCat doesn't publish pricing and the only thing that exists on the website is a “Get a demo” page.\u003C/p>\u003Cp>Third-party sources put NinjaCat somewhere between $1,500 and $3,000 a month on an annual contract. That's about $18,000 to $36,000 per year.\u003C/p>\u003Cp>In this article we’ll break down NinjaCat’s pricing and how it’s structured, what you should negotiate for, and how alternatives compare.\u003C/p>","\u003Cp>Before we get into the nitty gritty, here’s NinjaCat pricing at a glance:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Published pricing\u003C/strong>\u003C/td>\u003Ctd>None. No pricing page exists\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Reported range\u003C/strong>\u003C/td>\u003Ctd>$1,500 to $3,000/month (third-party estimates, 2026)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>How you're billed\u003C/strong>\u003C/td>\u003Ctd>Per module, plus accounts and data volume, plus AI token usage\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Number of modules\u003C/strong>\u003C/td>\u003Ctd>4: Reporting, Data Management, Call Tracking, Campaign Monitoring\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Contract\u003C/strong>\u003C/td>\u003Ctd>Annual, quoted per year\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Free trial\u003C/strong>\u003C/td>\u003Ctd>None publicly available. Granted case by case through sales\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Time to implement\u003C/strong>\u003C/td>\u003Ctd>2 months (G2 buyer data)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Time to ROI\u003C/strong>\u003C/td>\u003Ctd>16 months (G2 buyer data)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Average discount\u003C/strong>\u003C/td>\u003Ctd>8% (G2 buyer data)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Buyer-perceived cost\u003C/strong>\u003C/td>\u003Ctd>$$$$ out of $$$$$ (G2)\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1588/1822;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png\" alt=\"ninjacat-pricing-at-a-glance (1).png\" width=\"1588\" height=\"1822\">\u003C/figure>\u003Cp>Now, let's get into the nitty gritty.\u003C/p>\u003Ch2>Why you can trust this NinjaCat pricing breakdown\u003C/h2>\u003Cp>At \u003Ca href=\"https://whatagraph.com/\">Whatagraph\u003C/a> we sell a competing platform, so let's get that out of the way first. But we’re not here to dump on NinjaCat. It’s a powerful product with serious customers, and everything below is what I actually found and verified online and from prospects we’ve talked to who used or are using the platform.\u003C/p>\u003Cp>Here's how I put it together:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e852250a8e3657f682e77ef189116f80e\">\u003Cstrong>Checked NinjaCat's own properties first.\u003C/strong> Their site, their integrations page, their agent documentation and their own blog on AI token usage. Their words beat anyone else's summary of their words.\u003C/li>\u003Cli data-list-item-id=\"ed7e89f57a393248a420b8013f1897bf0\">\u003Cstrong>Cross-referenced every third-party pricing figure.\u003C/strong> G2, Capterra, TrustRadius, Software Advice, SoftwareSuggest and SoftwareFinder, plus the comparison pages competitors publish. Where a figure came from a competitor of NinjaCat, I've labelled it.\u003C/li>\u003C/ol>\u003Cp>But we highly recommend emailing or even getting on a demo with NinjaCat to confirm the actual prices.\u003C/p>\u003Ch2>How much does NinjaCat cost? (Update 2026)\u003C/h2>\u003Cp>I went looking for NinjaCat's pricing page first, the way anyone would. There isn't one.\u003C/p>\u003Cp>So I did the next best thing, which is check the software review pages like \u003Ca href=\"https://www.g2.com/\" target=\"_blank\" rel=\"noopener noreferrer\">G2.com\u003C/a>. I pulled a figure from six of them and got six different answers, ranging from $1,500 a month to $3,000 per contract to “Contact Us” four times over.\u003C/p>\u003Cp>As of August 2026: NinjaCat does not publish pricing. Independent and third-party sources put entry pricing in the region of $1,500 to $3,000 per month on annual contracts. Total cost depends on which of the four modules you buy, how many accounts you connect, and how heavily you use the AI agents.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png\" alt=\"shot-ninjacat-no-pricing-page.png\" width=\"2480\" height=\"1234\">\u003C/p>\u003Cp>This is every figure I could find, with its date attached:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Source\u003C/th>\u003Cth>Reported price\u003C/th>\u003Cth>Last updated\u003C/th>\u003Cth>Note\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>NinjaCat's own site\u003C/td>\u003Ctd>Not published\u003C/td>\u003Ctd>Checked Aug 2026\u003C/td>\u003Ctd>/pricing redirects to homepage\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.g2.com/sellers/ninjacat\" target=\"_blank\" rel=\"noopener noreferrer\">G2\u003C/a>\u003C/td>\u003Ctd>4 editions, all \"Contact Us,\" priced per year\u003C/td>\u003Ctd>Apr 2026\u003C/td>\u003Ctd>Also lists no free trial\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.softwaresuggest.com/ninjacat/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">SoftwareSuggest\u003C/a>\u003C/td>\u003Ctd>From $3,000 per contract\u003C/td>\u003Ctd>May 2026\u003C/td>\u003Ctd>Unit is \"per contract,\" not per month\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://softwarefinder.com/marketing-software/ninjacat\" target=\"_blank\" rel=\"noopener noreferrer\">SoftwareFinder\u003C/a>\u003C/td>\u003Ctd>Estimated from $1,500/month\u003C/td>\u003Ctd>Apr 2026\u003C/td>\u003Ctd>Plus one-off implementation and migration fees\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>SoftwareSuggest suggests that on top of the $3,000/month price tag for NinjaCat, there are extra fees involved like:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e18699b1146aaf67b45618c2e37ffa9cd\">\u003Cstrong>Implementation and onboarding: \u003C/strong>$1,000–$10,000, depending on setup complexity and agency size\u003C/li>\u003Cli data-list-item-id=\"ecebca4c7c356ff72ae40ea9e6726ecf7\">\u003Cstrong>Custom integrations and data connectors: \u003C/strong>$500–$5,000+, based on the number of marketing platforms and API configuration needs\u003C/li>\u003Cli data-list-item-id=\"ee1818dc2322a55040228c07b6e81599d\">\u003Cstrong>Data migration and historical data setup: \u003C/strong>$1,000–$7,000, depending on the amount of legacy marketing data\u003C/li>\u003Cli data-list-item-id=\"ec5a43d6782a827372ced793348076fab\">\u003Cstrong>Training and enablement:\u003C/strong> $500–$5,000 for team onboarding and workflow configuration\u003C/li>\u003Cli data-list-item-id=\"e6e11c5dbc3bd3831fa2da1023f1955bf\">\u003Cstrong>Premium support or dedicated account management:\u003C/strong> $200–$1,000+/month for advanced support tiers\u003C/li>\u003C/ul>\u003Cp>But keep in mind here again that these are all estimates (and you'll see the ranges are quite big).\u003C/p>\u003Cp>Apart from the sticker price, \u003Ca href=\"https://www.g2.com/products/ninjacat/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">G2's buyer panel\u003C/a>\u003Cstrong> estimates NinjaCat takes 2 months to implement, 16 months to see a return on investment with an 8% average discount, and buyer-perceived cost rated 4 out of 5.\u003C/strong>\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/shot_g2_pricing_insights_a64359141b.png\" alt=\"shot-g2-pricing-insights.png\" width=\"2480\" height=\"698\">\u003C/p>\u003Ch2>How NinjaCat pricing is structured: modules, accounts, and AI usage\u003C/h2>\u003Cp>From what we know from third-party sources, NinjaCat isn't priced in tiers. \u003Ci>(We can’t verify this though since we don’t have direct access to NinjaCat’s sales team.)\u003C/i>\u003C/p>\u003Cp>There's no Starter, Growth, Pro ladder where you pick a rung and know what you're getting.\u003C/p>\u003Cp>Instead, G2 lists four separately priced plans, each quoted \"Per Year,\" and each named after a product area rather than a size:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e92344e45f53eb43566899c3a3b8871b3\">Reporting\u003C/li>\u003Cli data-list-item-id=\"e3ee0cb23d27194e77409a542e5b9f846\">Data Management\u003C/li>\u003Cli data-list-item-id=\"e4c130ec7cf875d5e7e0e4af20e30f2b9\">Call Tracking\u003C/li>\u003Cli data-list-item-id=\"ec453b669d379c65a3792b7580f28811b\">Campaign Monitoring\u003C/li>\u003C/ul>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png\" alt=\"shot-ninjacat-four-editions-g2.png\" width=\"2480\" height=\"1230\">\u003C/p>\u003Ch3>So what does the number actually depend on?\u003C/h3>\u003Cp>From what I've seen, it depends on these three layers: \u003C/p>\u003Col>\u003Cli data-list-item-id=\"edfa191c6bfae9c77d4165abf995842d4\">Layer one is the modules you buy (reporting, data management, e.t.c.)\u003C/li>\u003Cli data-list-item-id=\"e5c9cc95e037fdf42e98d39f00bcb9db1\">Layer two is the accounts and data volume you connect. \u003C/li>\u003Cli data-list-item-id=\"e36c5f7d7ee305097c99f329b6f6fd5f2\">Layer three is how much your AI agents actually run, measured in tokens, billed on top.\u003C/li>\u003C/ol>\u003Ch3>Layer one: which of the four modules are you actually buying?\u003C/h3>\u003Cp>Here's what G2 says sits inside each one:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Module\u003C/th>\u003Cth>What's inside it\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Reporting\u003C/strong>\u003C/td>\u003Ctd>White labelling, rollup reporting, markups, unlimited seats, PDF and PPT export, dashboards\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Data Management\u003C/strong>\u003C/td>\u003Ctd>Data collection, harmonisation, modelling, scalable data storage\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Call Tracking\u003C/strong>\u003C/td>\u003Ctd>Local, toll-free and international numbers, dynamic number swapping, call recording, advanced reporting, spam control, API access integrations, custom notifications\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Campaign Monitoring\u003C/strong>\u003C/td>\u003Ctd>Budget monitoring, goal monitoring, automated data integration\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Ch3>Layer two: how many accounts, and how much data?\u003C/h3>\u003Cp>NinjaCat supports 150+ pre-built connectors, and by their own account the platform runs over 150,000 automated reports a month across roughly $4 billion in annual media spend. Nothing at that volume gets priced on a flat fee.\u003C/p>\u003Cp>Several third-party analyses describe NinjaCat as running a per-client or per-account model. That's consistent with everything else about the platform, but NinjaCat doesn't confirm it publicly, so treat it as a question for your quote rather than a fact.\u003C/p>\u003Ch3>Layer three: the AI agents, and the token meter behind them\u003C/h3>\u003Cp>Two things to understand here.\u003C/p>\u003Cp>First, AI agents appear to be sold as an add-on rather than bundled into the initial licence for NinjaCat.\u003C/p>\u003Cp>We don't know this for sure, but this came from our internal sales conversation with a marketing agency, who trialled NinjaCat in July 2026. \u003C/p>\u003Cp>They told us that NinjaCat's AI capability is a \u003Cstrong>separately priced add-on that costs \"a lot more.\"\u003C/strong>\u003C/p>\u003Cp>Second, agent usage is metered in tokens on top of whatever you pay for access.\u003C/p>\u003Cp>NinjaCat's own blog on \u003Ca href=\"https://www.ninjacat.io/blog/ai-in-marketing\" target=\"_blank\" rel=\"noopener noreferrer\">token usage in marketing\u003C/a>, published in July 2026, walks through input tokens, output tokens and cache tokens, explains that model choice changes cost, and shows screenshots of their AI usage dashboards.\u003C/p>\u003Cp>Their homepage lists reducing token spend as a customer benefit. NinjaCat's CEO Paul Deraval argues in that post that \u003Ci>“optimizing for cost is the wrong starting point with AI.”\u003C/i>\u003C/p>\u003Cp>Every agent run costs tokens. NinjaCat ships 340+ pre-built starter agents across 15 categories, and the whole pitch is that agents run continuously across every account you manage. \u003C/p>\u003Cp>Continuous agents mean your AI bill can easily bloat up if you have hundreds of accounts connected. \u003C/p>\u003Cp>With that being said, if you're evaluating NinjaCat for the agents specifically, get answers on three things in writing:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"edf1b1a2d8cd1163238cb76ef5a1e1eb6\">Is agent access included in the licence, or priced separately?\u003C/li>\u003Cli data-list-item-id=\"ee7078b1cc569a53ada1ca0f93f6caf5a\">Is token usage capped, pooled, or billed as consumed?\u003C/li>\u003Cli data-list-item-id=\"ebea9b96c8da0a422a4de1912e31f0880\">What does a realistic month look like for an agency my size, in dollars?\u003C/li>\u003C/ol>\u003Ch2>What are the extra costs on top?\u003C/h2>\u003Cp>At its core, NinjaCat is an enterprise-level tool, and that means a lot of onboarding and setup fees and time, on top of the sticker price. \u003C/p>\u003Ch3>How long does NinjaCat take to get live?\u003C/h3>\u003Cp>Two months, according to G2's buyer panel.\u003C/p>\u003Cp>That's not the vendor's estimate. That's what buyers reported, and it's the number your finance team should be modelling against, because it's two months where you're paying for NinjaCat and still producing reports the old way.\u003C/p>\u003Cp>Onboarding itself is guided, which is a genuine plus. It's also real time out of your team's week. One Software Advice reviewer described being fully onboarded across three one-hour sessions and said they'd rather log in and explore than run two workshops to get a team set up.\u003C/p>\u003Ch3>What one-off fees should I expect?\u003C/h3>\u003Cp>Nobody publishes these, so treat what follows as directional and get every line itemised in writing.\u003C/p>\u003Cp>SoftwareFinder's April 2026 estimate breaks the extras out like this:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>One-off cost\u003C/th>\u003Cth>Estimated range\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Implementation and onboarding\u003C/td>\u003Ctd>$1,000 to $10,000, depending on setup complexity\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Custom integrations and connectors\u003C/td>\u003Ctd>$500 to $5,000+ each\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Data migration and historical data setup\u003C/td>\u003Ctd>$1,000 to $7,000\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Training and enablement\u003C/td>\u003Ctd>$500 to $5,000\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Ca href=\"https://improvado.io/blog/ninjacat-alternatives-competitors\" target=\"_blank\" rel=\"noopener noreferrer\">Improvado's 2026 NinjaCat alternatives article\u003C/a> goes further, citing viewer licence fees for read-only stakeholders, per-connector setup fees, and a premium support uplift.\u003C/p>\u003Cp>They mentioned that an agency calculating $14,000 in one-off fees for NinjaCat just to add three niche platforms.\u003C/p>\u003Cp>Whether or not that number is right, the principle holds. If your client mix depends on a platform outside the standard 150+ connector library, find out what a custom connector costs before you sign, not in month three when a client asks for it\u003C/p>\u003Ch3>What does the total cost involve? 9 items\u003C/h3>\u003Cp>Based on all we've seen, NinjaCat's total cost of ownership come down to these nine items:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"ea084f92785b7167b40af952d3b9b309c\">Licence\u003C/li>\u003Cli data-list-item-id=\"e2517e8cbb95a8f3fa0f97b2bbe7db0f1\">Implementation and onboarding fees\u003C/li>\u003Cli data-list-item-id=\"e359c8d485d99ddaffa176f66e4e372f3\">Data migration and historical backfill\u003C/li>\u003Cli data-list-item-id=\"e6f3481e5f77d07e32c004923e766f673\">Training and enablement for the wider team\u003C/li>\u003Cli data-list-item-id=\"e71fe5cac4d4a012662f5f2cd863be55d\">Custom connector builds for any platform outside the standard library\u003C/li>\u003Cli data-list-item-id=\"e411d0f1f86415076cd811253d4534978\">Viewer and read-only seats, internal and client-side\u003C/li>\u003Cli data-list-item-id=\"e66af6414c8f0859aeb3362b025ba48b6\">Premium support or SLA uplifts\u003C/li>\u003Cli data-list-item-id=\"ef03a7b00fce757b89fdfdc55703a1c76\">AI agent access, if it's priced separately from the licence\u003C/li>\u003Cli data-list-item-id=\"e46475e727cc95f7f96871b37cd109826\">AI token usage, and whether it's capped, pooled, or billed as consumed\u003C/li>\u003C/ol>\u003Cp>\u003Cstrong>The Whatagraph advantage\u003C/strong>: Onboarding, a dedicated Customer Success Manager, every \u003Ca href=\"https://whatagraph.com/data-hub\">Data Hub\u003C/a> transformation and Whatagraph Storage are included on both Max and Prime \u003Ca href=\"https://whatagraph.com/pricing\">pricing plans\u003C/a>.\u003C/p>\u003Ch2>Is there a NinjaCat free trial?\u003C/h2>\u003Cp>Not one you can sign up for. There's no trial button, no free tier you can self-serve into, and no sandbox. The only route in is a demo request.\u003C/p>\u003Cp>The sources disagree on this, which is why the question keeps getting asked. G2 states plainly that NinjaCat doesn't offer a free trial. TrustRadius says a free trial is available. GetApp carries an older reviewer comment referencing trials of about 30 days.\u003C/p>\u003Cp>They're probably all describing something real.\u003C/p>\u003Cp>Look closely at G2's four editions and one of them, Campaign Monitoring, is listed at $0 with a free trial attached. So there does appear to be a free entry point, just to the budget and goal monitoring piece rather than to the reporting and data platform most people are evaluating.\u003C/p>\u003Ch3>So can you actually test it before you buy?\u003C/h3>\u003Cp>Yes, if the deal is big enough to justify it.\u003C/p>\u003Cp>Trials and proof-of-concept periods clearly do get granted through sales. I know this because an agency running roughly 200 to 240 clients told our team in July 2026 that they were finishing a NinjaCat trial that same day. A second prospect described being partway through a proof of concept.\u003C/p>\u003Cp>Neither of those was a self-serve signup. Both were negotiated as part of an evaluation.\u003C/p>\u003Cp>The practical takeaway: don't assume you have to buy blind. Ask for a scoped trial with your own data connected, and make replicating two or three of your existing reports the success criteria. If a vendor won't let you test at a $30,000-plus commitment, that itself is information.\u003C/p>\u003Ch3>Does NinjaCat run discounts or promotions?\u003C/h3>\u003Cp>No public ones. There's no promo page, no annual-prepay discount published, nothing seasonal.\u003C/p>\u003Cp>The most honest number available is from G2's buyer panel, which puts the average discount at 8%.\u003C/p>\u003Ch2>Is NinjaCat worth it? What users actually say\u003C/h2>\u003Cp>I only looked at reviews from 2025 onwards for this section.\u003C/p>\u003Cp>NinjaCat shipped a major repositioning in 2026. A review from 2019 is describing a PPC reporting and call tracking tool. A review from late 2025 is describing an AI agent platform. They are not the same product, and averaging them together is how you end up with a rating that tells you nothing.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Platform\u003C/th>\u003Cth>Rating\u003C/th>\u003Cth>Reviews\u003C/th>\u003Cth>Most recent review I could find\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">G2\u003C/a>\u003C/td>\u003Ctd>4.2 / 5\u003C/td>\u003Ctd>316\u003C/td>\u003Ctd>January 2026\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.capterra.com/p/132630/NinjaCat/\" target=\"_blank\" rel=\"noopener noreferrer\">Capterra\u003C/a>\u003C/td>\u003Ctd>4.4 / 5\u003C/td>\u003Ctd>89\u003C/td>\u003Ctd>March 2024\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.trustradius.com/products/ninjacat/\" target=\"_blank\" rel=\"noopener noreferrer\">TrustRadius\u003C/a>\u003C/td>\u003Ctd>8 / 10\u003C/td>\u003Ctd>12\u003C/td>\u003Ctd>2021\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Something to notice before you read a single review: all the recent activity is on G2. The newest Capterra review I could find dates to March 2024, and TrustRadius has twelve reviews total with nothing recent. If you're researching NinjaCat, G2 is effectively your only current source.\u003C/p>\u003Ch3>What do the most recent reviewers actually praise?\u003C/h3>\u003Cp>The agents. Consistently, and it's the clearest pattern in the recent set.\u003C/p>\u003Cp>Every G2 review from October 2025 onwards that I read mentions AI in the value it describes.\u003C/p>\u003Cp>Every G2 review from October 2025 onwards that I read mentions AI in the value it describes.\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e14145737eef508533679d3be0dddd79d\">\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11775284\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>Quoc Nhat T\u003C/strong>\u003C/a>\u003Cstrong>.\u003C/strong>, Digital Business Analytics Manager at a mid-market company, 5 stars, 7 October 2025: credits the agents with cutting the manual data analysis his team had to do, freeing people up for strategy and upsell work.\u003C/li>\u003Cli data-list-item-id=\"ee3008b94e39aee50cb41914d58ea3810\">\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11877431\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>Kevin G.\u003C/strong>\u003C/a>, President of Technology and Operations at a small business, 4.5 stars, 29 October 2025: describes the agents letting them analyse large volumes of data quickly.\u003C/li>\u003Cli data-list-item-id=\"e0766e47c6bf9a635bfa3429826fdeb7e\">\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11837502\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>Verified user\u003C/strong>\u003C/a> in marketing and advertising, mid-market, 5 stars, 20 October 2025: using AI assistants specifically to shorten the team's workload.\u003C/li>\u003C/ul>\u003Cp>The non-AI praise is what you'd expect from a mature platform: connector breadth, dashboards clients can log into themselves, and campaign budget pacing.\u003C/p>\u003Cp>\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-12180387\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>A small-business reviewer\u003C/strong>\u003C/a> in January 2026 singled out the pacing system as something they use every day, which is a detail you don't get from a marketing page.\u003C/p>\u003Cp>Support comes up repeatedly and warmly, across every year I looked at. That's consistent enough to treat as a genuine strength of NinjaCat.\u003C/p>\u003Ch3>What are they complaining about?\u003C/h3>\u003Cp>Two things.\u003C/p>\u003Cp>\u003Cstrong>The platform is…a lot.\u003C/strong> The January 2026 reviewer, who gave five stars, still described NinjaCat as \"a bit overwhelming with all of the features.\" They meant it kindly. It's still a warning about ramp time.\u003C/p>\u003Cp>\u003Cstrong>Sophistication has a cost in stability.\u003C/strong> Kevin G., a President of Technology and Operations reviewing in October 2025, gave four and a half stars and put it plainly: the technology does a lot, and because of that \"things can break down from time to time.\"\u003C/p>\u003Cp>The third one is the most relevant to this article, because it's about the thing you're paying extra for. The October 2025 analytics manager, a five-star reviewer, said that making it easier to “configure the AI agent would help increase adoption.”\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png\" alt=\"shot-g2-review-ai-agent-config.png\" width=\"2480\" height=\"408\">\u003C/p>\u003Cp>Read that alongside the pricing structure from earlier. If agents are an add-on, and agent adoption depends on configuration your team finds fiddly, you can end up paying for capability that isn't being used yet. Ask about configuration support in the same conversation as the agent pricing.\u003C/p>\u003Ch3>Why does the same platform get called both easy and overwhelming?\u003C/h3>\u003Cp>Because the people reviewing it aren't the people it's sold to.\u003C/p>\u003Cp>NinjaCat markets itself to enterprise multi-account teams. Capterra's own analysis notes that 91% of its NinjaCat reviewers come from small businesses, and G2's segment data puts small business at roughly 55% of reviews.\u003C/p>\u003Cp>That gap explains most of the contradictory feedback in one go. A platform built for an agency with 300 accounts and a dedicated ops function will feel powerful to that agency and overwhelming to a three-person team, and both reviews are honest.\u003C/p>\u003Cp>It also explains the affordability complaints, which cluster hard at the small end. If you're a one-person digital team, the problem isn't that NinjaCat is bad. It's that you're buying an enterprise platform's cost structure to solve a small team's problem.\u003C/p>\u003Cp>Check your own numbers against G2's comparison scores too. NinjaCat sits at 7.5 for ease of setup and 7.8 for ease of use, against AgencyAnalytics at 9.2 and 9.3. That difference isn't a quality judgment. It's a complexity one, and complexity is what you'd expect from a platform doing more.\u003C/p>\u003Ch3>So is it worth it?\u003C/h3>\u003Cp>It depends on what you're comparing it against, and most people compare it against the wrong thing.\u003C/p>\u003Cp>Agencies instinctively compare reporting platforms to other reporting platforms. That's not the real comparison.\u003C/p>\u003Cp>As one operations lead put it to us, the aim is making internal reporting efficient rather than having teams gather everything manually and then write the commentary on top. The alternative to NinjaCat isn't a cheaper tool. It's people-hours.\u003C/p>\u003Cp>So run the maths that way. G2's buyers put return on investment at 16 months and perceived cost at 5 out of 5. If NinjaCat removes two days a month of analyst and account manager time across your portfolio, price those days at your blended rate and see whether they clear the licence inside 16 months.\u003C/p>\u003Cp>Above a certain account volume, they usually do. Below it, they usually don't, and no amount of negotiating fixes a maths problem.\u003C/p>\u003Ch2>Who NinjaCat pricing makes sense for (and who it doesn't)\u003C/h2>\u003Cp>NinjaCat's price is roughly fixed at the bottom and scales from there, so the number of accounts you spread it across decides whether it's a bargain or a bad decision. Same platform, same quote, completely different verdict depending on your book.\u003C/p>\u003Ch3>Who gets clear value from the price?\u003C/h3>\u003Cp>Teams running enough accounts that the licence disappears into the per-client cost.\u003C/p>\u003Cp>NinjaCat's own site sorts its customers into three shapes, and they're a good filter:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e50d10c6d685495bf730096409c31efbe\">\u003Cstrong>Agencies with hundreds of client accounts.\u003C/strong> Their example customers here are large: VML, Wpromote, Amsive, Seer Interactive.\u003C/li>\u003Cli data-list-item-id=\"eebd27365541cb4fb08b33147978fce29\">\u003Cstrong>Portfolio companies overseeing dozens of brands\u003C/strong>, where each operating company runs its own stack and someone has to roll it all up.\u003C/li>\u003Cli data-list-item-id=\"e077ced201dcf4e578cc4c2b8f458af89\">\u003Cstrong>Multi-location brands with thousands of locations\u003C/strong>, reporting per location and per region and per brand.\u003C/li>\u003C/ul>\u003Ch3>Who should probably not be on this call?\u003C/h3>\u003Cp>Anyone whose per-client tooling cost would raise eyebrows in a retainer conversation.\u003C/p>\u003Cp>Run the number yourself. At the reported $1,500 to $3,000 a month, you're looking at $18,000 to $36,000 a year. Spread across 15 clients, that's $100 to $200 per client per month in reporting tooling alone. Spread across 200 clients, it's $7 to $15.\u003C/p>\u003Cp>I'd put the rough dividing line somewhere around 40 to 50 accounts, and lower than that if your clients are large or your reporting is unusually complex. That's a judgment, not a published threshold, and your retainer sizes should move it.\u003C/p>\u003Cp>Below that line, three groups should look elsewhere:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e3d8456b62563741fe68ff965210737db\">\u003Cstrong>Small agencies and freelancers.\u003C/strong> The affordability complaints in the review data cluster here, and they're not complaints about quality. One-person and small teams are buying an enterprise cost structure for a small-team problem.\u003C/li>\u003Cli data-list-item-id=\"ea581812bb9f0040b1aa532044dc006c3\">\u003Cstrong>Single-brand in-house marketing teams.\u003C/strong> Most of what you're paying for is the ability to template, roll up and rebrand across many clients or locations. One brand, one market, and that capability sits unused.\u003C/li>\u003Cli data-list-item-id=\"e1e36849328e6e9f703c4ff4ef5cbd5ac\">\u003Cstrong>Anyone who needs to be live next month.\u003C/strong> G2's buyers report two months to implement. If you have a client reporting deadline in six weeks, this is the wrong purchase regardless of budget.\u003C/li>\u003C/ul>\u003Ch2>Whatagraph vs NinjaCat: pricing and features side by side\u003C/h2>\u003Cp>We make one of these two products, so read this section with that in mind. I've tried to make it the version I'd want to read if I were the one holding two quotes.\u003C/p>\u003Ch3>How do the pricing models compare?\u003C/h3>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth> \u003C/th>\u003Cth>Whatagraph\u003C/th>\u003Cth>NinjaCat\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Published pricing\u003C/strong>\u003C/td>\u003Ctd>Yes, on the \u003Ca href=\"https://whatagraph.com/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">pricing page\u003C/a>\u003C/td>\u003Ctd>No\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Entry price\u003C/strong>\u003C/td>\u003Ctd>Max from €699/month, billed annually\u003C/td>\u003Ctd>Not published (third-party estimates $1,500 to $3,000/month)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Plan structure\u003C/strong>\u003C/td>\u003Ctd>Two plans: Max and Prime\u003C/td>\u003Ctd>Four modules: Reporting, Data Management, Call Tracking, Campaign Monitoring\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Billing unit\u003C/strong>\u003C/td>\u003Ctd>Source credits. 1 credit = 1 connected data account\u003C/td>\u003Ctd>Not published. Third parties describe per-account or per-client\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Credits included\u003C/strong>\u003C/td>\u003Ctd>From 50 on Max, custom on Prime\u003C/td>\u003Ctd>Not published\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Users\u003C/strong>\u003C/td>\u003Ctd>Unlimited, both plans\u003C/td>\u003Ctd>Unlimited seats listed inside the Reporting module (according to G2, not verified)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Reports\u003C/strong>\u003C/td>\u003Ctd>Unlimited, both plans\u003C/td>\u003Ctd>Not published\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Contract\u003C/strong>\u003C/td>\u003Ctd>Annual\u003C/td>\u003Ctd>Annual\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Free trial\u003C/strong>\u003C/td>\u003Ctd>14-day Max trial, no credit card\u003C/td>\u003Ctd>No public trial. Granted through sales\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Self-serve checkout\u003C/strong>\u003C/td>\u003Ctd>No, book a call from inside the app\u003C/td>\u003Ctd>No, demo request\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Onboarding\u003C/strong>\u003C/td>\u003Ctd>Included on both plans, tailored onboarding on Prime\u003C/td>\u003Ctd>Included, multi-session. Third parties cite separate implementation fees\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Dedicated CSM\u003C/strong>\u003C/td>\u003Ctd>Both plans\u003C/td>\u003Ctd>Enterprise tiers\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Cstrong>Note: Soon AI agents will be available on Whatagraph in the same breadth and capabilities. \u003C/strong>\u003Ca href=\"https://whatagraph.com/agents-waitlist\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>Request early access\u003C/strong>\u003C/a>\u003Cstrong> to be the first to try.\u003C/strong>\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1588/1662;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png\" alt=\"whatagraph-vs-ninjacat-pricing (1).png\" width=\"1588\" height=\"1662\">\u003C/figure>\u003Ch3>Whatagraph's advantage\u003C/h3>\u003Cp>Not that we're cheaper because I honestly don't know that for sure.\u003C/p>\u003Cp>The argument is forecastability.\u003C/p>\u003Cp>With Whatagraph you count one thing. A source credit is one connected data account, and everything you build on top of that connection is in the plan: unlimited users, unlimited reports, every \u003Ca href=\"https://whatagraph.com/data-hub\">Data Hub\u003C/a> transformation, storage, and Whatagraph IQ. \u003C/p>\u003Cp>Your bill doesn't change because you hired three account managers, built forty more reports, or had a month where the team asked a lot of questions.\u003C/p>\u003Ch2>NinjaCat pricing vs. the alternatives\u003C/h2>\u003Cp>Zoom out and this category splits into three price bands, not a spectrum.\u003C/p>\u003Cp>There's a self-serve band under about $100 a month, an agency band roughly between $500 and $1,500, and a quote-only enterprise band above that.\u003C/p>\u003Cp>NinjaCat sits firmly in the third. Comparing it to a tool in the first band tells you almost nothing, which is why so many listicle comparisons feel useless.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Platform\u003C/th>\u003Cth>Published entry price\u003C/th>\u003Cth>Billing unit\u003C/th>\u003Cth>Free trial\u003C/th>\u003Cth>Best fit\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>NinjaCat\u003C/td>\u003Ctd>None published. Third-party estimates $1,500 to $3,000/mo\u003C/td>\u003Ctd>Modules, accounts, plus AI token usage\u003C/td>\u003Ctd>No public trial\u003C/td>\u003Ctd>Enterprise multi-account teams, call tracking bundled\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Whatagraph\u003C/td>\u003Ctd>From €699/mo, billed annually (Max)\u003C/td>\u003Ctd>Source credits. 1 credit = 1 connected account\u003C/td>\u003Ctd>14-day Max trial\u003C/td>\u003Ctd>Mid-size agencies and multi-location operators\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>TapClicks\u003C/td>\u003Ctd>Free tier (5 clients). Paid plans quote-only, third-party estimates ~$599 to $5,000+/mo\u003C/td>\u003Ctd>Data packages plus destinations\u003C/td>\u003Ctd>Free tier\u003C/td>\u003Ctd>Large agencies with complex data operations\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>AgencyAnalytics\u003C/td>\u003Ctd>From $59/mo billed annually (5 clients)\u003C/td>\u003Ctd>Per client\u003C/td>\u003Ctd>Yes\u003C/td>\u003Ctd>Smaller, SEO-led agencies\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Improvado\u003C/td>\u003Ctd>Quote only. Reported entry around $2,000/mo\u003C/td>\u003Ctd>Data volume\u003C/td>\u003Ctd>No\u003C/td>\u003Ctd>Enterprise attribution and data pipelines\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Funnel\u003C/td>\u003Ctd>From $400/mo (Starter)\u003C/td>\u003Ctd>Flexpoints, consumed per stored table\u003C/td>\u003Ctd>No\u003C/td>\u003Ctd>Data teams feeding an existing BI tool\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Looker Studio + Supermetrics\u003C/td>\u003Ctd>Looker Studio is free, plus a connector licence\u003C/td>\u003Ctd>Per data source\u003C/td>\u003Ctd>Yes\u003C/td>\u003Ctd>Teams with a data-skilled owner and time to maintain it\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Prices checked August 2026. Every one of them may have changed by the time you read this, so treat the table as a map of the bands rather than a quote sheet.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png\" alt=\"ninjacat-pricing-vs-alternatives (1).png\" width=\"1588\" height=\"1964\">\u003C/p>\u003Ch3>Which platform should you choose?\u003C/h3>\u003Cp>If you're under about 20 clients on mostly standard channels, the self-serve and low-agency band will serve you longer than you expect, and AgencyAnalytics or a Looker Studio setup is the honest answer.\u003C/p>\u003Cp>If you're past 50 accounts, or you need blends, aggregations and templated rollups across many clients, Whatagraph is the best choice.\u003C/p>\u003Cp>If your requirement is specifically pipelines into a warehouse or BI tool you already own, Funnel and Improvado are built for that.\u003C/p>\u003Cp>For a fuller breakdown of each of these platforms rather than just the price band, we've written that up separately: \u003Ca href=\"https://whatagraph.com/blog/articles/ninjacat-alternatives-and-competitors\">11 best NinjaCat alternatives\u003C/a>.\u003C/p>","2026-08-14T16:22:09.342Z","2026-08-17T12:19:04.144Z","2026-08-17T12:19:04.304Z","2026-08-14","eejc2czgdvwweot73k3nbd0g",{"id":564,"name":565,"alternativeText":33,"caption":33,"width":566,"height":567,"formats":568,"hash":578,"ext":384,"mime":385,"size":579,"url":580,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":581,"updatedAt":581,"documentId":582,"publishedAt":581,"focalPoint":33},17525,"NinjaCat pricing.png",4368,2454,{"thumbnail":569},{"ext":384,"url":570,"etag":571,"hash":572,"mime":385,"name":573,"path":33,"size":574,"width":575,"height":576,"sizeInBytes":577},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Ninja_Cat_pricing_e3c97adcb6.png","4f355cefc2e1d31c800d2d420a54740a","thumbnail_Ninja_Cat_pricing_e3c97adcb6","thumbnail_NinjaCat pricing.png",24.98,245,138,24980,"Ninja_Cat_pricing_e3c97adcb6",2482.59,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Ninja_Cat_pricing_e3c97adcb6.png","2026-08-14T16:32:28.236Z","p0zjpfijr7jdxh2ecwxayfit",[],{"id":585,"name":586,"about":587,"email":588,"createdAt":589,"updatedAt":590,"publishedAt":591,"slug":592,"linkedin_url":593,"documentId":594,"avatar":595},134,"Yamon","Yamon is a Senior Content Marketing Manager at Whatagraph. \n\nWith an eye for detail and a knack for always considering context, audience, and business goals to guide the narrative, she's on a mission to create genuinely helpful content for marketers. \n\nWhen she’s not working, she’s hiking, meditating, or practicing yoga.","yamon@whatagraph.com","2024-10-04T13:36:17.539Z","2026-05-29T09:56:26.037Z","2024-10-04T13:43:50.159Z","yamon","https://www.linkedin.com/in/yamon-y-57371212b/","xxvsq30vbzh58g40uk4boxxt",{"id":596,"name":597,"alternativeText":33,"caption":33,"width":598,"height":599,"formats":600,"hash":610,"ext":602,"mime":605,"size":611,"url":612,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":613,"updatedAt":613,"documentId":614,"publishedAt":373,"focalPoint":33},13120,"Professional Headshot_Yamon.jpg",1358,1527,{"thumbnail":601},{"ext":602,"url":603,"hash":604,"mime":605,"name":606,"path":33,"size":607,"width":608,"height":609},".jpg","https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Professional_Headshot_Yamon_f62a036135.jpg","thumbnail_Professional_Headshot_Yamon_f62a036135","image/jpeg","thumbnail_Professional Headshot_Yamon.jpg",7.84,139,156,"Professional_Headshot_Yamon_f62a036135",563.48,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Professional_Headshot_Yamon_f62a036135.jpg","2024-10-14T07:15:02.160Z","bcnkmlvfqpnambfx55g6hu4r",{"id":616,"metaTitle":554,"metaDescription":617,"addNoIndex":17,"canonicalURL":33,"metaImage":618},3009,"NinjaCat doesn't publish pricing. Here's the reported 2026 range, how its four modules and AI tokens are billed, and the costs the quote leaves out.",{"id":564,"name":565,"alternativeText":33,"caption":33,"width":566,"height":567,"formats":619,"hash":578,"ext":384,"mime":385,"size":579,"url":580,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":581,"updatedAt":581,"documentId":582,"publishedAt":581,"focalPoint":33},{"thumbnail":620},{"ext":384,"url":570,"etag":571,"hash":572,"mime":385,"name":573,"path":33,"size":574,"width":575,"height":576,"sizeInBytes":577},{"id":622,"description":33,"title":33,"items":623},1015,[624,628,632,636,640,644,648,652,656,660,664,668],{"id":625,"question":626,"answer":627},5747,"Who created NinjaCat?","\u003Cp>NinjaCat was co-founded by Paul Deraval, who is still CEO, alongside Andrew McAuliffe. Sources disagree on the exact founding year, with 2014 the most commonly cited. The company is privately held and private-equity backed, headquartered in New York with a registered address in Delaware. \u003Cbr> \u003C/p>",{"id":629,"question":630,"answer":631},5748,"What does NinjaCat do?","\u003Cp>NinjaCat pulls digital marketing data from 150+ platforms into a managed data cloud, then automates client reporting, dashboards, budget pacing and AI agent workflows on top of it. As of 2026 it positions itself as an AI agent platform for multi-account marketing, aimed at agencies, portfolio companies and multi-location brands rather than single-brand teams.\u003C/p>",{"id":633,"question":634,"answer":635},5749,"What type of customer support is available from NinjaCat?","\u003Cp>Email and help desk, a knowledge base, phone support, and NinjaCademy, their on-demand video course library. Dedicated customer success is reserved for higher tiers. Support is the most consistently praised thing in NinjaCat's reviews across every year I looked at, scoring 4.6 on Capterra. Some reviewers do flag outdated help articles.\u003C/p>",{"id":637,"question":638,"answer":639},5750,"Does NinjaCat support white-label or branded client reporting?","\u003Cp>Yes, and it's a core strength. White labelling sits inside the Reporting module, and NinjaCat describes its client reports as pixel-perfect and brandable per client. Agencies can generate branded reports automatically at volume, which is one of the main reasons agencies buy the platform in the first place.\u003Cbr> \u003C/p>",{"id":641,"question":642,"answer":643},5751,"How much does NinjaCat cost per month?\n","\u003Cp>There's no published price. Independent and third-party sources put entry pricing between roughly $1,500 and $3,000 a month, on annual contracts. Your actual number depends on which of the four modules you buy, how many accounts and data sources you connect, and how heavily you use the AI agents. Expect a quote, not a price list.\u003C/p>",{"id":645,"question":646,"answer":647},5752,"How much does a subscription to NinjaCat cost?\n","\u003Cp>Think in years, not months, because that's how it's sold. At the reported ranges, an annual commitment lands somewhere around $18,000 to $36,000, and SoftwareSuggest lists a starting figure of $3,000 per contract. Then add one-off implementation, migration and training fees, which third parties estimate can each run into four or five figures.\u003C/p>",{"id":649,"question":650,"answer":651},5753,"How does NinjaCat's pricing structure work?","\u003Cp>From what we've seen on third-party pages, it seems to be three layers stacked. Layer one is which of the four modules you license. Layer two is the volume of accounts and data you connect. Layer three is AI agent usage, measured in tokens and billed on top. Most buyers negotiate the first layer hard and discover the third one months later.\u003C/p>",{"id":653,"question":654,"answer":655},5754,"What are the pricing plans for NinjaCat?","\u003Cp>Honestly, we don't know. But G2 lists four separately priced editions: Reporting, Data Management, Call Tracking and Campaign Monitoring. There's no small, medium and large ladder. Campaign Monitoring appears at $0 with a free trial attached; the other three are quote-only and priced per year. \u003Cbr> \u003C/p>",{"id":657,"question":658,"answer":659},5755,"How does NinjaCat's pricing compare to other marketing analytics platforms?","\u003Cp>It sits in the quote-only enterprise band, above the agency band where Whatagraph (from €699 a month) and Funnel (from $400 a month) start, and well above self-serve tools like AgencyAnalytics (from $59 a month). Its closest price comparisons are TapClicks and Improvado, both also quote-only and both reported in the same range.\u003C/p>",{"id":661,"question":662,"answer":663},5756,"How much does NinjaCat cost for small businesses?","\u003Cp>The same as it costs anyone else, which is the problem. At $18,000 to $36,000 a year spread across ten clients, you're paying $150 to $300 per client per month for reporting alone. NinjaCat is marketed at enterprise, and the affordability complaints in its reviews cluster almost entirely at the small end.\u003C/p>",{"id":665,"question":666,"answer":667},5757,"How much does NinjaCat cost for digital agencies?\n","\u003Cp>Agencies are the core customer, so this is where the pricing makes most sense. At 200 accounts, a $30,000 annual licence works out around $12 per account per month. At 30 accounts it's closer to $83. The break-even sits somewhere around 40 to 50 accounts, earlier if your reporting is complex or your retainers are large.\u003C/p>",{"id":669,"question":670,"answer":671},5758,"Is NinjaCat an SEO tool? Is it a HubSpot alternative?","\u003Cp>No, and no. Both questions come up a lot, and both send people down the wrong comparison path.\u003C/p>\u003Cp> \u003C/p>\u003Cp>NinjaCat does report on SEO data, but it isn't an SEO platform. It doesn't do keyword research, rank tracking as a core function, site audits or backlink analysis. Comparing its price to Semrush or Ahrefs is comparing a reporting platform to a research platform.\u003C/p>\u003Cp> \u003C/p>\u003Cp>It also isn't a CRM or a marketing automation platform. It doesn't send your email campaigns, manage your contact database or run your nurture flows. If you're weighing NinjaCat against HubSpot, one of those two tools is answering a question you haven't actually asked yet.\u003C/p>\u003Cp> \u003C/p>\u003Cp>And it isn't built for individual content creators. It's an enterprise platform for teams managing many accounts, and the pricing reflects exactly that.\u003C/p>",{"id":115,"title":673,"slug":674,"subheading":675,"createdAt":676,"updatedAt":677,"publishedAt":678,"documentId":679,"toc_banner":680},"Marketing analytics & reporting","marketing-analytics-and-reporting","A neverending collection of marketing tips & tricks","2023-05-16T15:41:47.823Z","2026-07-23T15:14:22.210Z","2026-07-23T15:14:22.342Z","v3mgd8e186b1welglg981eu6",{"id":123,"content":681,"cta":682,"cta_collection":33},"Save 100+ hours a month on reporting with Whatagraph",{"id":683,"label":334,"url":335,"subtext":33,"style":684,"element_id":33,"color":33,"icon":33,"width":33},2916,"button","\u003Cp>Before we get into the nitty gritty, here’s NinjaCat pricing at a glance:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Published pricing\u003C/strong>\u003C/td>\u003Ctd>None. No pricing page exists\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Reported range\u003C/strong>\u003C/td>\u003Ctd>$1,500 to $3,000/month (third-party estimates, 2026)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>How you're billed\u003C/strong>\u003C/td>\u003Ctd>Per module, plus accounts and data volume, plus AI token usage\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Number of modules\u003C/strong>\u003C/td>\u003Ctd>4: Reporting, Data Management, Call Tracking, Campaign Monitoring\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Contract\u003C/strong>\u003C/td>\u003Ctd>Annual, quoted per year\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Free trial\u003C/strong>\u003C/td>\u003Ctd>None publicly available. Granted case by case through sales\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Time to implement\u003C/strong>\u003C/td>\u003Ctd>2 months (G2 buyer data)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Time to ROI\u003C/strong>\u003C/td>\u003Ctd>16 months (G2 buyer data)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Average discount\u003C/strong>\u003C/td>\u003Ctd>8% (G2 buyer data)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Buyer-perceived cost\u003C/strong>\u003C/td>\u003Ctd>$$$$ out of $$$$$ (G2)\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cfigure class=\"image\">\u003Cimg src=\"https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png\" srcset=\"https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=350 350w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=700 700w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=420 440w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=840 880w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=768 768w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=1536 1536w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=992 992w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=1984 1984w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=600 1200w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=1200 2400w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=720 1440w, https://media.whatagraph.com/ninjacat_pricing_at_a_glance_1_c0ceb7b46f.png?width=1440 2880w\" sizes=\"(max-width: 350px) 350px, (max-width: 440px) 440px, (max-width: 768px) 768px, (max-width: 992px) 992px, (max-width: 1200px) 1200px, (min-resolution: 192dpi) and (max-width: 350px) 700px, (min-resolution: 192dpi) and (max-width: 420px) 840px, (min-resolution: 192dpi) and (max-width: 768px) 1536px, (min-resolution: 192dpi) and (max-width: 992px) 1984px, (min-resolution: 192dpi) and (max-width: 1200px) 2400px, (min-resolution: 192dpi) 2880px, 1440px\" loading=\"lazy\" fetchpriority=\"auto\" decoding=\"async\" alt=\"ninjacat-pricing-at-a-glance (1).png\">\u003C/figure>\u003Cp>Now, let's get into the nitty gritty.\u003C/p>\u003Ch2 id=\"why-you-can-trust-this-ninjacat-pricing-breakdown\">Why you can trust this NinjaCat pricing breakdown\u003C/h2>\u003Cp>At \u003Ca href=\"https://whatagraph.com\">Whatagraph\u003C/a> we sell a competing platform, so let's get that out of the way first. But we’re not here to dump on NinjaCat. It’s a powerful product with serious customers, and everything below is what I actually found and verified online and from prospects we’ve talked to who used or are using the platform.\u003C/p>\u003Cp>Here's how I put it together:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e852250a8e3657f682e77ef189116f80e\">\u003Cstrong>Checked NinjaCat's own properties first.\u003C/strong> Their site, their integrations page, their agent documentation and their own blog on AI token usage. Their words beat anyone else's summary of their words.\u003C/li>\u003Cli data-list-item-id=\"ed7e89f57a393248a420b8013f1897bf0\">\u003Cstrong>Cross-referenced every third-party pricing figure.\u003C/strong> G2, Capterra, TrustRadius, Software Advice, SoftwareSuggest and SoftwareFinder, plus the comparison pages competitors publish. Where a figure came from a competitor of NinjaCat, I've labelled it.\u003C/li>\u003C/ol>\u003Cp>But we highly recommend emailing or even getting on a demo with NinjaCat to confirm the actual prices.\u003C/p>\u003Ch2 id=\"how-much-does-ninjacat-cost-update-2026\">How much does NinjaCat cost? (Update 2026)\u003C/h2>\u003Cp>I went looking for NinjaCat's pricing page first, the way anyone would. There isn't one.\u003C/p>\u003Cp>So I did the next best thing, which is check the software review pages like \u003Ca href=\"https://www.g2.com/\" target=\"_blank\" rel=\"noopener noreferrer\">G2.com\u003C/a>. I pulled a figure from six of them and got six different answers, ranging from $1,500 a month to $3,000 per contract to “Contact Us” four times over.\u003C/p>\u003Cp>As of August 2026: NinjaCat does not publish pricing. Independent and third-party sources put entry pricing in the region of $1,500 to $3,000 per month on annual contracts. Total cost depends on which of the four modules you buy, how many accounts you connect, and how heavily you use the AI agents.\u003C/p>\u003Cp>\u003Cimg src=\"https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png\" srcset=\"https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=350 350w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=700 700w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=420 440w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=840 880w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=768 768w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=1536 1536w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=992 992w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=1984 1984w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=600 1200w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=1200 2400w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=720 1440w, https://media.whatagraph.com/shot_ninjacat_no_pricing_page_cb04225b70.png?width=1440 2880w\" sizes=\"(max-width: 350px) 350px, (max-width: 440px) 440px, (max-width: 768px) 768px, (max-width: 992px) 992px, (max-width: 1200px) 1200px, (min-resolution: 192dpi) and (max-width: 350px) 700px, (min-resolution: 192dpi) and (max-width: 420px) 840px, (min-resolution: 192dpi) and (max-width: 768px) 1536px, (min-resolution: 192dpi) and (max-width: 992px) 1984px, (min-resolution: 192dpi) and (max-width: 1200px) 2400px, (min-resolution: 192dpi) 2880px, 1440px\" loading=\"lazy\" fetchpriority=\"auto\" decoding=\"async\" alt=\"shot-ninjacat-no-pricing-page.png\">\u003C/p>\u003Cp>This is every figure I could find, with its date attached:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Source\u003C/th>\u003Cth>Reported price\u003C/th>\u003Cth>Last updated\u003C/th>\u003Cth>Note\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>NinjaCat's own site\u003C/td>\u003Ctd>Not published\u003C/td>\u003Ctd>Checked Aug 2026\u003C/td>\u003Ctd>/pricing redirects to homepage\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.g2.com/sellers/ninjacat\" target=\"_blank\" rel=\"noopener noreferrer\">G2\u003C/a>\u003C/td>\u003Ctd>4 editions, all \"Contact Us,\" priced per year\u003C/td>\u003Ctd>Apr 2026\u003C/td>\u003Ctd>Also lists no free trial\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.softwaresuggest.com/ninjacat/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">SoftwareSuggest\u003C/a>\u003C/td>\u003Ctd>From $3,000 per contract\u003C/td>\u003Ctd>May 2026\u003C/td>\u003Ctd>Unit is \"per contract,\" not per month\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://softwarefinder.com/marketing-software/ninjacat\" target=\"_blank\" rel=\"noopener noreferrer\">SoftwareFinder\u003C/a>\u003C/td>\u003Ctd>Estimated from $1,500/month\u003C/td>\u003Ctd>Apr 2026\u003C/td>\u003Ctd>Plus one-off implementation and migration fees\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>SoftwareSuggest suggests that on top of the $3,000/month price tag for NinjaCat, there are extra fees involved like:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e18699b1146aaf67b45618c2e37ffa9cd\">\u003Cstrong>Implementation and onboarding: \u003C/strong>$1,000–$10,000, depending on setup complexity and agency size\u003C/li>\u003Cli data-list-item-id=\"ecebca4c7c356ff72ae40ea9e6726ecf7\">\u003Cstrong>Custom integrations and data connectors: \u003C/strong>$500–$5,000+, based on the number of marketing platforms and API configuration needs\u003C/li>\u003Cli data-list-item-id=\"ee1818dc2322a55040228c07b6e81599d\">\u003Cstrong>Data migration and historical data setup: \u003C/strong>$1,000–$7,000, depending on the amount of legacy marketing data\u003C/li>\u003Cli data-list-item-id=\"ec5a43d6782a827372ced793348076fab\">\u003Cstrong>Training and enablement:\u003C/strong> $500–$5,000 for team onboarding and workflow configuration\u003C/li>\u003Cli data-list-item-id=\"e6e11c5dbc3bd3831fa2da1023f1955bf\">\u003Cstrong>Premium support or dedicated account management:\u003C/strong> $200–$1,000+/month for advanced support tiers\u003C/li>\u003C/ul>\u003Cp>But keep in mind here again that these are all estimates (and you'll see the ranges are quite big).\u003C/p>\u003Cp>Apart from the sticker price, \u003Ca href=\"https://www.g2.com/products/ninjacat/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">G2's buyer panel\u003C/a>\u003Cstrong> estimates NinjaCat takes 2 months to implement, 16 months to see a return on investment with an 8% average discount, and buyer-perceived cost rated 4 out of 5.\u003C/strong>\u003C/p>\u003Cp>\u003Cimg src=\"https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png\" srcset=\"https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=350 350w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=700 700w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=420 440w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=840 880w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=768 768w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=1536 1536w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=992 992w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=1984 1984w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=600 1200w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=1200 2400w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=720 1440w, https://media.whatagraph.com/shot_g2_pricing_insights_a64359141b.png?width=1440 2880w\" sizes=\"(max-width: 350px) 350px, (max-width: 440px) 440px, (max-width: 768px) 768px, (max-width: 992px) 992px, (max-width: 1200px) 1200px, (min-resolution: 192dpi) and (max-width: 350px) 700px, (min-resolution: 192dpi) and (max-width: 420px) 840px, (min-resolution: 192dpi) and (max-width: 768px) 1536px, (min-resolution: 192dpi) and (max-width: 992px) 1984px, (min-resolution: 192dpi) and (max-width: 1200px) 2400px, (min-resolution: 192dpi) 2880px, 1440px\" loading=\"lazy\" fetchpriority=\"auto\" decoding=\"async\" alt=\"shot-g2-pricing-insights.png\">\u003C/p>\u003Ch2 id=\"how-ninjacat-pricing-is-structured-modules-accounts-and-ai-usage\">How NinjaCat pricing is structured: modules, accounts, and AI usage\u003C/h2>\u003Cp>From what we know from third-party sources, NinjaCat isn't priced in tiers. \u003Ci>(We can’t verify this though since we don’t have direct access to NinjaCat’s sales team.)\u003C/i>\u003C/p>\u003Cp>There's no Starter, Growth, Pro ladder where you pick a rung and know what you're getting.\u003C/p>\u003Cp>Instead, G2 lists four separately priced plans, each quoted \"Per Year,\" and each named after a product area rather than a size:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e92344e45f53eb43566899c3a3b8871b3\">Reporting\u003C/li>\u003Cli data-list-item-id=\"e3ee0cb23d27194e77409a542e5b9f846\">Data Management\u003C/li>\u003Cli data-list-item-id=\"e4c130ec7cf875d5e7e0e4af20e30f2b9\">Call Tracking\u003C/li>\u003Cli data-list-item-id=\"ec453b669d379c65a3792b7580f28811b\">Campaign Monitoring\u003C/li>\u003C/ul>\u003Cp>\u003Cimg src=\"https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png\" srcset=\"https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=350 350w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=700 700w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=420 440w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=840 880w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=768 768w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=1536 1536w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=992 992w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=1984 1984w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=600 1200w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=1200 2400w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=720 1440w, https://media.whatagraph.com/shot_ninjacat_four_editions_g2_55642451ca.png?width=1440 2880w\" sizes=\"(max-width: 350px) 350px, (max-width: 440px) 440px, (max-width: 768px) 768px, (max-width: 992px) 992px, (max-width: 1200px) 1200px, (min-resolution: 192dpi) and (max-width: 350px) 700px, (min-resolution: 192dpi) and (max-width: 420px) 840px, (min-resolution: 192dpi) and (max-width: 768px) 1536px, (min-resolution: 192dpi) and (max-width: 992px) 1984px, (min-resolution: 192dpi) and (max-width: 1200px) 2400px, (min-resolution: 192dpi) 2880px, 1440px\" loading=\"lazy\" fetchpriority=\"auto\" decoding=\"async\" alt=\"shot-ninjacat-four-editions-g2.png\">\u003C/p>\u003Ch3 id=\"so-what-does-the-number-actually-depend-on\">So what does the number actually depend on?\u003C/h3>\u003Cp>From what I've seen, it depends on these three layers: \u003C/p>\u003Col>\u003Cli data-list-item-id=\"edfa191c6bfae9c77d4165abf995842d4\">Layer one is the modules you buy (reporting, data management, e.t.c.)\u003C/li>\u003Cli data-list-item-id=\"e5c9cc95e037fdf42e98d39f00bcb9db1\">Layer two is the accounts and data volume you connect. \u003C/li>\u003Cli data-list-item-id=\"e36c5f7d7ee305097c99f329b6f6fd5f2\">Layer three is how much your AI agents actually run, measured in tokens, billed on top.\u003C/li>\u003C/ol>\u003Ch3 id=\"layer-one-which-of-the-four-modules-are-you-actually-buying\">Layer one: which of the four modules are you actually buying?\u003C/h3>\u003Cp>Here's what G2 says sits inside each one:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Module\u003C/th>\u003Cth>What's inside it\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Reporting\u003C/strong>\u003C/td>\u003Ctd>White labelling, rollup reporting, markups, unlimited seats, PDF and PPT export, dashboards\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Data Management\u003C/strong>\u003C/td>\u003Ctd>Data collection, harmonisation, modelling, scalable data storage\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Call Tracking\u003C/strong>\u003C/td>\u003Ctd>Local, toll-free and international numbers, dynamic number swapping, call recording, advanced reporting, spam control, API access integrations, custom notifications\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Campaign Monitoring\u003C/strong>\u003C/td>\u003Ctd>Budget monitoring, goal monitoring, automated data integration\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Ch3 id=\"layer-two-how-many-accounts-and-how-much-data\">Layer two: how many accounts, and how much data?\u003C/h3>\u003Cp>NinjaCat supports 150+ pre-built connectors, and by their own account the platform runs over 150,000 automated reports a month across roughly $4 billion in annual media spend. Nothing at that volume gets priced on a flat fee.\u003C/p>\u003Cp>Several third-party analyses describe NinjaCat as running a per-client or per-account model. That's consistent with everything else about the platform, but NinjaCat doesn't confirm it publicly, so treat it as a question for your quote rather than a fact.\u003C/p>\u003Ch3 id=\"layer-three-the-ai-agents-and-the-token-meter-behind-them\">Layer three: the AI agents, and the token meter behind them\u003C/h3>\u003Cp>Two things to understand here.\u003C/p>\u003Cp>First, AI agents appear to be sold as an add-on rather than bundled into the initial licence for NinjaCat.\u003C/p>\u003Cp>We don't know this for sure, but this came from our internal sales conversation with a marketing agency, who trialled NinjaCat in July 2026. \u003C/p>\u003Cp>They told us that NinjaCat's AI capability is a \u003Cstrong>separately priced add-on that costs \"a lot more.\"\u003C/strong>\u003C/p>\u003Cp>Second, agent usage is metered in tokens on top of whatever you pay for access.\u003C/p>\u003Cp>NinjaCat's own blog on \u003Ca href=\"https://www.ninjacat.io/blog/ai-in-marketing\" target=\"_blank\" rel=\"noopener noreferrer\">token usage in marketing\u003C/a>, published in July 2026, walks through input tokens, output tokens and cache tokens, explains that model choice changes cost, and shows screenshots of their AI usage dashboards.\u003C/p>\u003Cp>Their homepage lists reducing token spend as a customer benefit. NinjaCat's CEO Paul Deraval argues in that post that \u003Ci>“optimizing for cost is the wrong starting point with AI.”\u003C/i>\u003C/p>\u003Cp>Every agent run costs tokens. NinjaCat ships 340+ pre-built starter agents across 15 categories, and the whole pitch is that agents run continuously across every account you manage. \u003C/p>\u003Cp>Continuous agents mean your AI bill can easily bloat up if you have hundreds of accounts connected. \u003C/p>\u003Cp>With that being said, if you're evaluating NinjaCat for the agents specifically, get answers on three things in writing:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"edf1b1a2d8cd1163238cb76ef5a1e1eb6\">Is agent access included in the licence, or priced separately?\u003C/li>\u003Cli data-list-item-id=\"ee7078b1cc569a53ada1ca0f93f6caf5a\">Is token usage capped, pooled, or billed as consumed?\u003C/li>\u003Cli data-list-item-id=\"ebea9b96c8da0a422a4de1912e31f0880\">What does a realistic month look like for an agency my size, in dollars?\u003C/li>\u003C/ol>\u003Ch2 id=\"what-are-the-extra-costs-on-top\">What are the extra costs on top?\u003C/h2>\u003Cp>At its core, NinjaCat is an enterprise-level tool, and that means a lot of onboarding and setup fees and time, on top of the sticker price. \u003C/p>\u003Ch3 id=\"how-long-does-ninjacat-take-to-get-live\">How long does NinjaCat take to get live?\u003C/h3>\u003Cp>Two months, according to G2's buyer panel.\u003C/p>\u003Cp>That's not the vendor's estimate. That's what buyers reported, and it's the number your finance team should be modelling against, because it's two months where you're paying for NinjaCat and still producing reports the old way.\u003C/p>\u003Cp>Onboarding itself is guided, which is a genuine plus. It's also real time out of your team's week. One Software Advice reviewer described being fully onboarded across three one-hour sessions and said they'd rather log in and explore than run two workshops to get a team set up.\u003C/p>\u003Ch3 id=\"what-one-off-fees-should-i-expect\">What one-off fees should I expect?\u003C/h3>\u003Cp>Nobody publishes these, so treat what follows as directional and get every line itemised in writing.\u003C/p>\u003Cp>SoftwareFinder's April 2026 estimate breaks the extras out like this:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>One-off cost\u003C/th>\u003Cth>Estimated range\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Implementation and onboarding\u003C/td>\u003Ctd>$1,000 to $10,000, depending on setup complexity\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Custom integrations and connectors\u003C/td>\u003Ctd>$500 to $5,000+ each\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Data migration and historical data setup\u003C/td>\u003Ctd>$1,000 to $7,000\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Training and enablement\u003C/td>\u003Ctd>$500 to $5,000\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Ca href=\"https://improvado.io/blog/ninjacat-alternatives-competitors\" target=\"_blank\" rel=\"noopener noreferrer\">Improvado's 2026 NinjaCat alternatives article\u003C/a> goes further, citing viewer licence fees for read-only stakeholders, per-connector setup fees, and a premium support uplift.\u003C/p>\u003Cp>They mentioned that an agency calculating $14,000 in one-off fees for NinjaCat just to add three niche platforms.\u003C/p>\u003Cp>Whether or not that number is right, the principle holds. If your client mix depends on a platform outside the standard 150+ connector library, find out what a custom connector costs before you sign, not in month three when a client asks for it\u003C/p>\u003Ch3 id=\"what-does-the-total-cost-involve-9-items\">What does the total cost involve? 9 items\u003C/h3>\u003Cp>Based on all we've seen, NinjaCat's total cost of ownership come down to these nine items:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"ea084f92785b7167b40af952d3b9b309c\">Licence\u003C/li>\u003Cli data-list-item-id=\"e2517e8cbb95a8f3fa0f97b2bbe7db0f1\">Implementation and onboarding fees\u003C/li>\u003Cli data-list-item-id=\"e359c8d485d99ddaffa176f66e4e372f3\">Data migration and historical backfill\u003C/li>\u003Cli data-list-item-id=\"e6f3481e5f77d07e32c004923e766f673\">Training and enablement for the wider team\u003C/li>\u003Cli data-list-item-id=\"e71fe5cac4d4a012662f5f2cd863be55d\">Custom connector builds for any platform outside the standard library\u003C/li>\u003Cli data-list-item-id=\"e411d0f1f86415076cd811253d4534978\">Viewer and read-only seats, internal and client-side\u003C/li>\u003Cli data-list-item-id=\"e66af6414c8f0859aeb3362b025ba48b6\">Premium support or SLA uplifts\u003C/li>\u003Cli data-list-item-id=\"ef03a7b00fce757b89fdfdc55703a1c76\">AI agent access, if it's priced separately from the licence\u003C/li>\u003Cli data-list-item-id=\"e46475e727cc95f7f96871b37cd109826\">AI token usage, and whether it's capped, pooled, or billed as consumed\u003C/li>\u003C/ol>\u003Cp>\u003Cstrong>The Whatagraph advantage\u003C/strong>: Onboarding, a dedicated Customer Success Manager, every \u003Ca href=\"/data-hub\">Data Hub\u003C/a> transformation and Whatagraph Storage are included on both Max and Prime \u003Ca href=\"/pricing\">pricing plans\u003C/a>.\u003C/p>\u003Ch2 id=\"is-there-a-ninjacat-free-trial\">Is there a NinjaCat free trial?\u003C/h2>\u003Cp>Not one you can sign up for. There's no trial button, no free tier you can self-serve into, and no sandbox. The only route in is a demo request.\u003C/p>\u003Cp>The sources disagree on this, which is why the question keeps getting asked. G2 states plainly that NinjaCat doesn't offer a free trial. TrustRadius says a free trial is available. GetApp carries an older reviewer comment referencing trials of about 30 days.\u003C/p>\u003Cp>They're probably all describing something real.\u003C/p>\u003Cp>Look closely at G2's four editions and one of them, Campaign Monitoring, is listed at $0 with a free trial attached. So there does appear to be a free entry point, just to the budget and goal monitoring piece rather than to the reporting and data platform most people are evaluating.\u003C/p>\u003Ch3 id=\"so-can-you-actually-test-it-before-you-buy\">So can you actually test it before you buy?\u003C/h3>\u003Cp>Yes, if the deal is big enough to justify it.\u003C/p>\u003Cp>Trials and proof-of-concept periods clearly do get granted through sales. I know this because an agency running roughly 200 to 240 clients told our team in July 2026 that they were finishing a NinjaCat trial that same day. A second prospect described being partway through a proof of concept.\u003C/p>\u003Cp>Neither of those was a self-serve signup. Both were negotiated as part of an evaluation.\u003C/p>\u003Cp>The practical takeaway: don't assume you have to buy blind. Ask for a scoped trial with your own data connected, and make replicating two or three of your existing reports the success criteria. If a vendor won't let you test at a $30,000-plus commitment, that itself is information.\u003C/p>\u003Ch3 id=\"does-ninjacat-run-discounts-or-promotions\">Does NinjaCat run discounts or promotions?\u003C/h3>\u003Cp>No public ones. There's no promo page, no annual-prepay discount published, nothing seasonal.\u003C/p>\u003Cp>The most honest number available is from G2's buyer panel, which puts the average discount at 8%.\u003C/p>\u003Ch2 id=\"is-ninjacat-worth-it-what-users-actually-say\">Is NinjaCat worth it? What users actually say\u003C/h2>\u003Cp>I only looked at reviews from 2025 onwards for this section.\u003C/p>\u003Cp>NinjaCat shipped a major repositioning in 2026. A review from 2019 is describing a PPC reporting and call tracking tool. A review from late 2025 is describing an AI agent platform. They are not the same product, and averaging them together is how you end up with a rating that tells you nothing.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Platform\u003C/th>\u003Cth>Rating\u003C/th>\u003Cth>Reviews\u003C/th>\u003Cth>Most recent review I could find\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">G2\u003C/a>\u003C/td>\u003Ctd>4.2 / 5\u003C/td>\u003Ctd>316\u003C/td>\u003Ctd>January 2026\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.capterra.com/p/132630/NinjaCat/\" target=\"_blank\" rel=\"noopener noreferrer\">Capterra\u003C/a>\u003C/td>\u003Ctd>4.4 / 5\u003C/td>\u003Ctd>89\u003C/td>\u003Ctd>March 2024\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://www.trustradius.com/products/ninjacat/\" target=\"_blank\" rel=\"noopener noreferrer\">TrustRadius\u003C/a>\u003C/td>\u003Ctd>8 / 10\u003C/td>\u003Ctd>12\u003C/td>\u003Ctd>2021\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Something to notice before you read a single review: all the recent activity is on G2. The newest Capterra review I could find dates to March 2024, and TrustRadius has twelve reviews total with nothing recent. If you're researching NinjaCat, G2 is effectively your only current source.\u003C/p>\u003Ch3 id=\"what-do-the-most-recent-reviewers-actually-praise\">What do the most recent reviewers actually praise?\u003C/h3>\u003Cp>The agents. Consistently, and it's the clearest pattern in the recent set.\u003C/p>\u003Cp>Every G2 review from October 2025 onwards that I read mentions AI in the value it describes.\u003C/p>\u003Cp>Every G2 review from October 2025 onwards that I read mentions AI in the value it describes.\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e14145737eef508533679d3be0dddd79d\">\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11775284\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>Quoc Nhat T\u003C/strong>\u003C/a>\u003Cstrong>.\u003C/strong>, Digital Business Analytics Manager at a mid-market company, 5 stars, 7 October 2025: credits the agents with cutting the manual data analysis his team had to do, freeing people up for strategy and upsell work.\u003C/li>\u003Cli data-list-item-id=\"ee3008b94e39aee50cb41914d58ea3810\">\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11877431\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>Kevin G.\u003C/strong>\u003C/a>, President of Technology and Operations at a small business, 4.5 stars, 29 October 2025: describes the agents letting them analyse large volumes of data quickly.\u003C/li>\u003Cli data-list-item-id=\"e0766e47c6bf9a635bfa3429826fdeb7e\">\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11837502\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>Verified user\u003C/strong>\u003C/a> in marketing and advertising, mid-market, 5 stars, 20 October 2025: using AI assistants specifically to shorten the team's workload.\u003C/li>\u003C/ul>\u003Cp>The non-AI praise is what you'd expect from a mature platform: connector breadth, dashboards clients can log into themselves, and campaign budget pacing.\u003C/p>\u003Cp>\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-12180387\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>A small-business reviewer\u003C/strong>\u003C/a> in January 2026 singled out the pacing system as something they use every day, which is a detail you don't get from a marketing page.\u003C/p>\u003Cp>Support comes up repeatedly and warmly, across every year I looked at. That's consistent enough to treat as a genuine strength of NinjaCat.\u003C/p>\u003Ch3 id=\"what-are-they-complaining-about\">What are they complaining about?\u003C/h3>\u003Cp>Two things.\u003C/p>\u003Cp>\u003Cstrong>The platform is…a lot.\u003C/strong> The January 2026 reviewer, who gave five stars, still described NinjaCat as \"a bit overwhelming with all of the features.\" They meant it kindly. It's still a warning about ramp time.\u003C/p>\u003Cp>\u003Cstrong>Sophistication has a cost in stability.\u003C/strong> Kevin G., a President of Technology and Operations reviewing in October 2025, gave four and a half stars and put it plainly: the technology does a lot, and because of that \"things can break down from time to time.\"\u003C/p>\u003Cp>The third one is the most relevant to this article, because it's about the thing you're paying extra for. The October 2025 analytics manager, a five-star reviewer, said that making it easier to “configure the AI agent would help increase adoption.”\u003C/p>\u003Cp>\u003Cimg src=\"https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png\" srcset=\"https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=350 350w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=700 700w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=420 440w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=840 880w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=768 768w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=1536 1536w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=992 992w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=1984 1984w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=600 1200w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=1200 2400w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=720 1440w, https://media.whatagraph.com/shot_g2_review_ai_agent_config_2ec35e2bfa.png?width=1440 2880w\" sizes=\"(max-width: 350px) 350px, (max-width: 440px) 440px, (max-width: 768px) 768px, (max-width: 992px) 992px, (max-width: 1200px) 1200px, (min-resolution: 192dpi) and (max-width: 350px) 700px, (min-resolution: 192dpi) and (max-width: 420px) 840px, (min-resolution: 192dpi) and (max-width: 768px) 1536px, (min-resolution: 192dpi) and (max-width: 992px) 1984px, (min-resolution: 192dpi) and (max-width: 1200px) 2400px, (min-resolution: 192dpi) 2880px, 1440px\" loading=\"lazy\" fetchpriority=\"auto\" decoding=\"async\" alt=\"shot-g2-review-ai-agent-config.png\">\u003C/p>\u003Cp>Read that alongside the pricing structure from earlier. If agents are an add-on, and agent adoption depends on configuration your team finds fiddly, you can end up paying for capability that isn't being used yet. Ask about configuration support in the same conversation as the agent pricing.\u003C/p>\u003Ch3 id=\"why-does-the-same-platform-get-called-both-easy-and-overwhelming\">Why does the same platform get called both easy and overwhelming?\u003C/h3>\u003Cp>Because the people reviewing it aren't the people it's sold to.\u003C/p>\u003Cp>NinjaCat markets itself to enterprise multi-account teams. Capterra's own analysis notes that 91% of its NinjaCat reviewers come from small businesses, and G2's segment data puts small business at roughly 55% of reviews.\u003C/p>\u003Cp>That gap explains most of the contradictory feedback in one go. A platform built for an agency with 300 accounts and a dedicated ops function will feel powerful to that agency and overwhelming to a three-person team, and both reviews are honest.\u003C/p>\u003Cp>It also explains the affordability complaints, which cluster hard at the small end. If you're a one-person digital team, the problem isn't that NinjaCat is bad. It's that you're buying an enterprise platform's cost structure to solve a small team's problem.\u003C/p>\u003Cp>Check your own numbers against G2's comparison scores too. NinjaCat sits at 7.5 for ease of setup and 7.8 for ease of use, against AgencyAnalytics at 9.2 and 9.3. That difference isn't a quality judgment. It's a complexity one, and complexity is what you'd expect from a platform doing more.\u003C/p>\u003Ch3 id=\"so-is-it-worth-it\">So is it worth it?\u003C/h3>\u003Cp>It depends on what you're comparing it against, and most people compare it against the wrong thing.\u003C/p>\u003Cp>Agencies instinctively compare reporting platforms to other reporting platforms. That's not the real comparison.\u003C/p>\u003Cp>As one operations lead put it to us, the aim is making internal reporting efficient rather than having teams gather everything manually and then write the commentary on top. The alternative to NinjaCat isn't a cheaper tool. It's people-hours.\u003C/p>\u003Cp>So run the maths that way. G2's buyers put return on investment at 16 months and perceived cost at 5 out of 5. If NinjaCat removes two days a month of analyst and account manager time across your portfolio, price those days at your blended rate and see whether they clear the licence inside 16 months.\u003C/p>\u003Cp>Above a certain account volume, they usually do. Below it, they usually don't, and no amount of negotiating fixes a maths problem.\u003C/p>\u003Ch2 id=\"who-ninjacat-pricing-makes-sense-for-and-who-it-doesnt\">Who NinjaCat pricing makes sense for (and who it doesn't)\u003C/h2>\u003Cp>NinjaCat's price is roughly fixed at the bottom and scales from there, so the number of accounts you spread it across decides whether it's a bargain or a bad decision. Same platform, same quote, completely different verdict depending on your book.\u003C/p>\u003Ch3 id=\"who-gets-clear-value-from-the-price\">Who gets clear value from the price?\u003C/h3>\u003Cp>Teams running enough accounts that the licence disappears into the per-client cost.\u003C/p>\u003Cp>NinjaCat's own site sorts its customers into three shapes, and they're a good filter:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e50d10c6d685495bf730096409c31efbe\">\u003Cstrong>Agencies with hundreds of client accounts.\u003C/strong> Their example customers here are large: VML, Wpromote, Amsive, Seer Interactive.\u003C/li>\u003Cli data-list-item-id=\"eebd27365541cb4fb08b33147978fce29\">\u003Cstrong>Portfolio companies overseeing dozens of brands\u003C/strong>, where each operating company runs its own stack and someone has to roll it all up.\u003C/li>\u003Cli data-list-item-id=\"e077ced201dcf4e578cc4c2b8f458af89\">\u003Cstrong>Multi-location brands with thousands of locations\u003C/strong>, reporting per location and per region and per brand.\u003C/li>\u003C/ul>\u003Ch3 id=\"who-should-probably-not-be-on-this-call\">Who should probably not be on this call?\u003C/h3>\u003Cp>Anyone whose per-client tooling cost would raise eyebrows in a retainer conversation.\u003C/p>\u003Cp>Run the number yourself. At the reported $1,500 to $3,000 a month, you're looking at $18,000 to $36,000 a year. Spread across 15 clients, that's $100 to $200 per client per month in reporting tooling alone. Spread across 200 clients, it's $7 to $15.\u003C/p>\u003Cp>I'd put the rough dividing line somewhere around 40 to 50 accounts, and lower than that if your clients are large or your reporting is unusually complex. That's a judgment, not a published threshold, and your retainer sizes should move it.\u003C/p>\u003Cp>Below that line, three groups should look elsewhere:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e3d8456b62563741fe68ff965210737db\">\u003Cstrong>Small agencies and freelancers.\u003C/strong> The affordability complaints in the review data cluster here, and they're not complaints about quality. One-person and small teams are buying an enterprise cost structure for a small-team problem.\u003C/li>\u003Cli data-list-item-id=\"ea581812bb9f0040b1aa532044dc006c3\">\u003Cstrong>Single-brand in-house marketing teams.\u003C/strong> Most of what you're paying for is the ability to template, roll up and rebrand across many clients or locations. One brand, one market, and that capability sits unused.\u003C/li>\u003Cli data-list-item-id=\"e1e36849328e6e9f703c4ff4ef5cbd5ac\">\u003Cstrong>Anyone who needs to be live next month.\u003C/strong> G2's buyers report two months to implement. If you have a client reporting deadline in six weeks, this is the wrong purchase regardless of budget.\u003C/li>\u003C/ul>\u003Ch2 id=\"whatagraph-vs-ninjacat-pricing-and-features-side-by-side\">Whatagraph vs NinjaCat: pricing and features side by side\u003C/h2>\u003Cp>We make one of these two products, so read this section with that in mind. I've tried to make it the version I'd want to read if I were the one holding two quotes.\u003C/p>\u003Ch3 id=\"how-do-the-pricing-models-compare\">How do the pricing models compare?\u003C/h3>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth> \u003C/th>\u003Cth>Whatagraph\u003C/th>\u003Cth>NinjaCat\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Published pricing\u003C/strong>\u003C/td>\u003Ctd>Yes, on the \u003Ca href=\"/pricing\"  rel=\"noopener noreferrer\">pricing page\u003C/a>\u003C/td>\u003Ctd>No\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Entry price\u003C/strong>\u003C/td>\u003Ctd>Max from €699/month, billed annually\u003C/td>\u003Ctd>Not published (third-party estimates $1,500 to $3,000/month)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Plan structure\u003C/strong>\u003C/td>\u003Ctd>Two plans: Max and Prime\u003C/td>\u003Ctd>Four modules: Reporting, Data Management, Call Tracking, Campaign Monitoring\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Billing unit\u003C/strong>\u003C/td>\u003Ctd>Source credits. 1 credit = 1 connected data account\u003C/td>\u003Ctd>Not published. Third parties describe per-account or per-client\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Credits included\u003C/strong>\u003C/td>\u003Ctd>From 50 on Max, custom on Prime\u003C/td>\u003Ctd>Not published\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Users\u003C/strong>\u003C/td>\u003Ctd>Unlimited, both plans\u003C/td>\u003Ctd>Unlimited seats listed inside the Reporting module (according to G2, not verified)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Reports\u003C/strong>\u003C/td>\u003Ctd>Unlimited, both plans\u003C/td>\u003Ctd>Not published\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Contract\u003C/strong>\u003C/td>\u003Ctd>Annual\u003C/td>\u003Ctd>Annual\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Free trial\u003C/strong>\u003C/td>\u003Ctd>14-day Max trial, no credit card\u003C/td>\u003Ctd>No public trial. Granted through sales\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Self-serve checkout\u003C/strong>\u003C/td>\u003Ctd>No, book a call from inside the app\u003C/td>\u003Ctd>No, demo request\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Onboarding\u003C/strong>\u003C/td>\u003Ctd>Included on both plans, tailored onboarding on Prime\u003C/td>\u003Ctd>Included, multi-session. Third parties cite separate implementation fees\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Dedicated CSM\u003C/strong>\u003C/td>\u003Ctd>Both plans\u003C/td>\u003Ctd>Enterprise tiers\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Cstrong>Note: Soon AI agents will be available on Whatagraph in the same breadth and capabilities. \u003C/strong>\u003Ca href=\"/agents-waitlist\"  rel=\"noopener noreferrer\">\u003Cstrong>Request early access\u003C/strong>\u003C/a>\u003Cstrong> to be the first to try.\u003C/strong>\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png\" srcset=\"https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=350 350w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=700 700w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=420 440w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=840 880w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=768 768w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=1536 1536w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=992 992w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=1984 1984w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=600 1200w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=1200 2400w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=720 1440w, https://media.whatagraph.com/whatagraph_vs_ninjacat_pricing_1_d08e161771.png?width=1440 2880w\" sizes=\"(max-width: 350px) 350px, (max-width: 440px) 440px, (max-width: 768px) 768px, (max-width: 992px) 992px, (max-width: 1200px) 1200px, (min-resolution: 192dpi) and (max-width: 350px) 700px, (min-resolution: 192dpi) and (max-width: 420px) 840px, (min-resolution: 192dpi) and (max-width: 768px) 1536px, (min-resolution: 192dpi) and (max-width: 992px) 1984px, (min-resolution: 192dpi) and (max-width: 1200px) 2400px, (min-resolution: 192dpi) 2880px, 1440px\" loading=\"lazy\" fetchpriority=\"auto\" decoding=\"async\" alt=\"whatagraph-vs-ninjacat-pricing (1).png\">\u003C/figure>\u003Ch3 id=\"whatagraphs-advantage\">Whatagraph's advantage\u003C/h3>\u003Cp>Not that we're cheaper because I honestly don't know that for sure.\u003C/p>\u003Cp>The argument is forecastability.\u003C/p>\u003Cp>With Whatagraph you count one thing. A source credit is one connected data account, and everything you build on top of that connection is in the plan: unlimited users, unlimited reports, every \u003Ca href=\"/data-hub\">Data Hub\u003C/a> transformation, storage, and Whatagraph IQ. \u003C/p>\u003Cp>Your bill doesn't change because you hired three account managers, built forty more reports, or had a month where the team asked a lot of questions.\u003C/p>\u003Ch2 id=\"ninjacat-pricing-vs-the-alternatives\">NinjaCat pricing vs. the alternatives\u003C/h2>\u003Cp>Zoom out and this category splits into three price bands, not a spectrum.\u003C/p>\u003Cp>There's a self-serve band under about $100 a month, an agency band roughly between $500 and $1,500, and a quote-only enterprise band above that.\u003C/p>\u003Cp>NinjaCat sits firmly in the third. Comparing it to a tool in the first band tells you almost nothing, which is why so many listicle comparisons feel useless.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Platform\u003C/th>\u003Cth>Published entry price\u003C/th>\u003Cth>Billing unit\u003C/th>\u003Cth>Free trial\u003C/th>\u003Cth>Best fit\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>NinjaCat\u003C/td>\u003Ctd>None published. Third-party estimates $1,500 to $3,000/mo\u003C/td>\u003Ctd>Modules, accounts, plus AI token usage\u003C/td>\u003Ctd>No public trial\u003C/td>\u003Ctd>Enterprise multi-account teams, call tracking bundled\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Whatagraph\u003C/td>\u003Ctd>From €699/mo, billed annually (Max)\u003C/td>\u003Ctd>Source credits. 1 credit = 1 connected account\u003C/td>\u003Ctd>14-day Max trial\u003C/td>\u003Ctd>Mid-size agencies and multi-location operators\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>TapClicks\u003C/td>\u003Ctd>Free tier (5 clients). Paid plans quote-only, third-party estimates ~$599 to $5,000+/mo\u003C/td>\u003Ctd>Data packages plus destinations\u003C/td>\u003Ctd>Free tier\u003C/td>\u003Ctd>Large agencies with complex data operations\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>AgencyAnalytics\u003C/td>\u003Ctd>From $59/mo billed annually (5 clients)\u003C/td>\u003Ctd>Per client\u003C/td>\u003Ctd>Yes\u003C/td>\u003Ctd>Smaller, SEO-led agencies\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Improvado\u003C/td>\u003Ctd>Quote only. Reported entry around $2,000/mo\u003C/td>\u003Ctd>Data volume\u003C/td>\u003Ctd>No\u003C/td>\u003Ctd>Enterprise attribution and data pipelines\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Funnel\u003C/td>\u003Ctd>From $400/mo (Starter)\u003C/td>\u003Ctd>Flexpoints, consumed per stored table\u003C/td>\u003Ctd>No\u003C/td>\u003Ctd>Data teams feeding an existing BI tool\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Looker Studio + Supermetrics\u003C/td>\u003Ctd>Looker Studio is free, plus a connector licence\u003C/td>\u003Ctd>Per data source\u003C/td>\u003Ctd>Yes\u003C/td>\u003Ctd>Teams with a data-skilled owner and time to maintain it\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Prices checked August 2026. Every one of them may have changed by the time you read this, so treat the table as a map of the bands rather than a quote sheet.\u003C/p>\u003Cp>\u003Cimg src=\"https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png\" srcset=\"https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=350 350w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=700 700w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=420 440w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=840 880w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=768 768w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=1536 1536w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=992 992w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=1984 1984w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=600 1200w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=1200 2400w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=720 1440w, https://media.whatagraph.com/ninjacat_pricing_vs_alternatives_1_3460c13f82.png?width=1440 2880w\" sizes=\"(max-width: 350px) 350px, (max-width: 440px) 440px, (max-width: 768px) 768px, (max-width: 992px) 992px, (max-width: 1200px) 1200px, (min-resolution: 192dpi) and (max-width: 350px) 700px, (min-resolution: 192dpi) and (max-width: 420px) 840px, (min-resolution: 192dpi) and (max-width: 768px) 1536px, (min-resolution: 192dpi) and (max-width: 992px) 1984px, (min-resolution: 192dpi) and (max-width: 1200px) 2400px, (min-resolution: 192dpi) 2880px, 1440px\" loading=\"lazy\" fetchpriority=\"auto\" decoding=\"async\" alt=\"ninjacat-pricing-vs-alternatives (1).png\">\u003C/p>\u003Ch3 id=\"which-platform-should-you-choose\">Which platform should you choose?\u003C/h3>\u003Cp>If you're under about 20 clients on mostly standard channels, the self-serve and low-agency band will serve you longer than you expect, and AgencyAnalytics or a Looker Studio setup is the honest answer.\u003C/p>\u003Cp>If you're past 50 accounts, or you need blends, aggregations and templated rollups across many clients, Whatagraph is the best choice.\u003C/p>\u003Cp>If your requirement is specifically pipelines into a warehouse or BI tool you already own, Funnel and Improvado are built for that.\u003C/p>\u003Cp>For a fuller breakdown of each of these platforms rather than just the price band, we've written that up separately: \u003Ca href=\"/blog/articles/ninjacat-alternatives-and-competitors\">11 best NinjaCat alternatives\u003C/a>.\u003C/p>",[687,725,754,783,813,841],{"id":688,"title":689,"slug":690,"summary":691,"body":692,"read_time":23,"createdAt":693,"updatedAt":694,"publishedAt":695,"errors":33,"table_of_contents":17,"dateReorder":696,"documentId":697,"cover_image":698,"author":716,"article_category":717},3027,"8 Best Adverity Alternatives Loved by Marketers in 2026","adverity-alternatives","\u003Cp>Adverity is a powerful marketing data integration and reporting tool, but users say the platform can be unstable, complex, and expensive.\u003C/p>\u003Cp>To help you find the best Adverity alternative, I did three things:\u003C/p>\u003Cul>\u003Cli>Spoke with our customers who previously used Adverity.\u003C/li>\u003Cli>Scoured online reviews and community forums to find the best alternatives.\u003C/li>\u003Cli>Tested each tool ourselves.\u003C/li>\u003C/ul>\u003Cp>Full disclosure—one of these tools is ours. But that’s because we genuinely believe Whatagraph reduces the pains of Adverity.\u003C/p>\u003Cp>But we’re also not here to bash our competitors. We researched them thoroughly (and even tried them out) so you can really understand what they’re great at and if they’re best for you.\u003C/p>\u003Cp>By the end of this article, we hope you’ll find an Adverity alternative that fits your needs—whether it’s us or not.\u003C/p>","\u003Cp>Based on ex-Adverity users we’ve talked to and online reviews, here are the key issues with the platform:\u003C/p>\u003Cp>❌ \u003Cstrong>Unstable after updates:\u003C/strong> Adverity updates can break existing dataflows and connections, forcing teams to scramble to fix reports in the middle of client delivery weeks. Users report unexpected bugs in dashboards and calculations, requiring manual double-checking before sharing reports.\u003C/p>\u003Cp>❌ \u003Cstrong>Inaccurate or outdated data:\u003C/strong> Users often see dashboards displaying outdated or inconsistent data, which means teams need to manually verify data accuracy before presenting insights to stakeholders or clients.\u003C/p>\u003Cp>❌ \u003Cstrong>Complex and hard to use:\u003C/strong> Adverity comes with a steep learning curve, especially for marketers without technical backgrounds. Many features aren’t intuitive, and documentation often falls short in helping users troubleshoot issues quickly.\u003C/p>\u003Cp>❌ \u003Cstrong>API connector limitations:\u003C/strong> While Adverity offers many connectors, users find that some key integrations are missing or require slow, custom development, forcing teams to rely on manual workarounds for critical data sources.\u003C/p>\u003Cp>❌ \u003Cstrong>Expensive for agencies and SMBs:\u003C/strong> Agencies and small businesses report that Adverity’s pricing quickly becomes unaffordable as they add more data sources or client accounts, with hidden costs tied to additional connectors or features they need.\u003C/p>\u003Cp>❌ \u003Cstrong>Complex onboarding and setup:\u003C/strong> Initial setup and workflow configuration can be challenging, often requiring technical resources or Python knowledge for advanced use cases, making it difficult for teams that just want to get up and running quickly.\u003C/p>\u003Cp>—\u003C/p>\u003Cp>If you’re experiencing similar challenges with Adverity, we’ve got your back.\u003C/p>\u003Cp>In this article, we’ll take you through 7 best Adverity alternatives which are more stable, customizable, and easier to use. \u003C/p>\u003Ch2>8 Best Adverity Alternatives in 2026\u003C/h2>\u003Cp>In a nutshell, here are the 8 best Adverity alternatives we’ll review in this article:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"ee13524906902625893a15e4bf06fd56e\">Whatagraph\u003C/li>\u003Cli data-list-item-id=\"e68433aeab54329962aef7c741c42168a\">Funnel.io\u003C/li>\u003Cli data-list-item-id=\"e0277d2f77c5324e23f6e9cb62b869acf\">Supermetrics\u003C/li>\u003Cli data-list-item-id=\"efe762f931ffab2711f1542538bab9f3b\">Coupler.io\u003C/li>\u003Cli data-list-item-id=\"e102fbfb02c82c513ca00e537a31a0e72\">Improvado\u003C/li>\u003Cli data-list-item-id=\"ef24712d6e003a11418e79d3d25fb4427\">Fivetran\u003C/li>\u003Cli data-list-item-id=\"e5e7651b9c3b8a78b13277b66e5926ea6\">Klipfolio\u003C/li>\u003Cli data-list-item-id=\"ee2cb8c9a630750479f74c5fe3167cd1a\">Tableau \u003C/li>\u003C/ol>\u003Cp>Let’s dive into each of these tools.\u003C/p>\u003Ch2>1. Whatagraph\u003C/h2>\u003Cp>\u003Cstrong>Most suitable for:\u003C/strong> Medium to large marketing agencies and teams with 10+ employees\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/cRRlzVRm6W8?feature=shared\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/cRRlzVRm6W8\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>If you’re tired of dealing with data aggregators like Adverity and are looking for an all-in-one marketing intelligence platform, Whatagraph is for you. \u003C/p>\u003Cp>Whatagraph makes it refreshingly easy to connect, organize, visualize, and act on your marketing data in one place.\u003C/p>\u003Cp>In a nutshell, here’s what you can do on Whatagraph:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"ed8623286a5359f68738192eff0138b2d\">Bring data from \u003Ca href=\"https://whatagraph.com/integrations\">\u003Cu>55+ marketing platforms\u003C/u>\u003C/a> automatically via native, stable connectors. \u003C/li>\u003Cli data-list-item-id=\"ebe3982d0dd4d96217d96306503ebf384\">Easily organize your data—create custom blends, metrics, and dimensions using no-code workflows or AI.\u003C/li>\u003Cli data-list-item-id=\"eb2554e35537c5062d0e99bf97f8643e3\">Ask AI to create reports by just telling it what you want it to build. Or use drag-and-drop widgets or \u003Ca href=\"https://whatagraph.com/templates\">\u003Cu>ready-made templates\u003C/u>\u003C/a> to build one from scratch.\u003C/li>\u003Cli data-list-item-id=\"ebe354d6db8cae4602c26a0d03ecce1c5\">Customize reports in seconds by just uploading a screenshot of your (or your client’s) brandbook or putting in a prompt. Host and share reports on your own domain.\u003C/li>\u003Cli data-list-item-id=\"eedab1a570ea7ad521a59d7900048f6bf\">Analyze your data with granular filters and tags. Spot trends, compare performance, and \u003Ca href=\"https://whatagraph.com/performance-monitoring\">\u003Cu>get actionable insights\u003C/u>\u003C/a> from your data in seconds. \u003C/li>\u003Cli data-list-item-id=\"e164127ff0dbc6f2b5a9ebaf165b3bec6\">Share reports as live links, PDFs, Excel spreadsheets, or automated emails. You can also transfer your data to a data\u003Ca href=\"https://whatagraph.com/blog/articles/google-bigquery\">\u003Cu>BigQuery\u003C/u>\u003C/a> data warehouse or \u003Ca href=\"https://whatagraph.com/data-transfer/looker-studio\">\u003Cu>Looker Studio\u003C/u>\u003C/a>.\u003C/li>\u003C/ol>\u003Cp>Plus, all our pricing plans come with a dedicated Customer Success Manager and live chat support that responds within 4 minutes and resolves most issues within 4 hours.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_marketing_intelligence_platform_f19eb30617.png\" alt=\"Whatagraph Marketing Intelligence Platform - A dashboard displaying social media campaign performance data.\">Thanks to having all this under one roof, Kim Strickland, Digital Marketing Specialist at Peak Seven agency, saved 63 hours per month on reporting, and \u003Ca href=\"https://whatagraph.com/case-studies/peak-seven\">\u003Cu>$9K+ per month for clients\u003C/u>\u003C/a>. She said:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Whatagraph has helped everyone on our team get on the same page about clients, what’s important, and how to talk to them. Our relationships with clients have been amazing, and we’ve even been able to retain them longer. Whatagraph is now our Bible—both for our clients and internal teams.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>But how does Whatagraph compare against Adverity? Let’s get into the nitty gritty.\u003C/p>\u003Ch3>Adverity vs. Whatagraph: Head-to-head Comparison\u003C/h3>\u003Cp>Here are three key ways Whatagraph solves the pains of Adverity:\u003C/p>\u003Ch3>1. Stable, fast, and accurate platform\u003C/h3>\u003Cp>One of the biggest frustrations Adverity users report is instability after updates. Updates can break dataflows and connections, forcing teams to scramble and troubleshoot in the middle of reporting weeks.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Adverity_negative_review_instability_after_updates_224e68e0bd.png\" alt=\"Adverity Negative Review - Review card showing 4/5 stars, text, and profile picture.\n\">\u003C/figure>\u003Cp>\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-11294495\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Cp>Users also mention errors in data fetching and inconsistencies, requiring them to double-check dashboards before sharing reports with clients. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Adverity_negative_review_data_errors_faa2cd4568.png\" alt=\"Adverity Negative Review - Screenshot of a customer review with a 4.5-star rating.\">\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-10299594\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Cp>On top of that, some users note the platform crashes or slows down under heavy loads, delaying reporting workflows (see review screenshot).\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Adverity_negative_review_errors_in_data_1daddb3a1a.png\" alt=\"Adverity Negative Review - Review of Adverity with 2/5 stars, detailing data errors.\n\">\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-11287370\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Cp>Whatagraph eliminates all three pain points. \u003C/p>\u003Cp>✅ \u003Cstrong>Fully-managed, stable integrations:\u003C/strong> Our Product engineers actively maintain all native connectors, ensuring they remain stable, up-to-date, and bug-free—so you don’t have to worry about integrations breaking after an update.\u003C/p>\u003Cp>✅ \u003Cstrong>Fast, reliable performance:\u003C/strong> You can work with 10+ data sources and 100+ widgets in a single report without slowing down the platform. Reports with heavy widgets, tabs, and charts load in under 10 seconds, even under high load, thanks to our recent migration to Google Kubernetes Engine.\u003C/p>\u003Cp>✅ \u003Cstrong>Near-perfect uptime:\u003C/strong> Over the past six months, Whatagraph has maintained an average uptime of 99.95%. We also have an emergency alert system that wakes up our Product engineers (even at 3 a.m.) to fix any outages quickly, ensuring minimal downtime.\u003C/p>\u003Cp>✅ \u003Cstrong>Accurate, up-to-date data:\u003C/strong> Because integrations are fully managed and monitored, your reports stay accurate and consistent across all sources, so you don’t need to double-check data before sending to clients or stakeholders.\u003C/p>\u003Cp>All of this means:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e0e2c95d610ddd7c390e223050da3d52c\">Your reports load fast. \u003C/li>\u003Cli data-list-item-id=\"eb6a3a98932c6f6f67aa82c4fe3353382\">Your data is accurate and reliable.\u003C/li>\u003Cli data-list-item-id=\"e472395301503d1ff9d0c0ebb9ea6f71f\">Platform downtimes are extremely rare and resolved quickly if they occur.\u003C/li>\u003Cli data-list-item-id=\"ee986c0e82cc389cb243f599c7d317153\">You spend less time troubleshooting and more time analyzing and acting on your data. \u003C/li>\u003C/ul>\u003Cp>But don’t take our word for it. Bruhith I., Digital Marketing Specialist, actually attests to our stable connectors. He says Whatagraph \u003Ci>“pulls in data from Google Ads, Meta, LinkedIn, and even TikTok without any hassle.”\u003C/i>\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_positive_review_stable_connections_f2703e84c0.png\" alt=\"Whatagraph Positive Review - Customer review with star rating and detailed feedback.\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-11069239\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Ch3>2. Fully-customizable and easy to use\u003C/h3>\u003Cp>Adverity is undeniably powerful, but users often say it’s hard to use, rigid, and time-consuming when building and styling reports.\u003C/p>\u003Cp>Some reviews mention Adverity’s visualization suite can feel static and inflexible, forcing data to snap to grid layouts that don’t always fit your report design.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Adverity_negative_review_static_visualization_1d8593d480.png\" alt=\"Adverity Negative Review - A text review is shown with an enclosed negative feedback section.\">\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-10629328\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Cp>And others mention simple style changes or layout adjustments take longer than they should, and advanced customization often requires technical skills or workarounds. Even small edits like aligning widgets or bulk-moving sections can slow teams down.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Adverity_negative_review_static_visualizations_1e98b10ce2.png\" alt=\"Adverity Negative Review - Online customer review with 4.5 stars, text, and user details.\">\u003C/figure>\u003Cp>\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-11285352\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Cp>Add to this the steep learning curve for non-technical users and the lack of proper documentation and onboarding, and it’s clear why many teams spend hours manually building and styling reports in Adverity. \u003C/p>\u003Cp>\u003Ci>(Just look at this long rant from a user)\u003C/i>\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Adverity_negative_review_lack_of_in_depth_resources_and_onboarding_3ce433f27a.png\" alt=\"Adverity Negative Review - Text describing dislike for a platform's onboarding and documentation.\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-10304615\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Cp>Whatagraph is the literal opposite of “static” or “difficult to use”. \u003C/p>\u003Cp>You don’t need to be a data scientist, do complex ETL setups, or even read tons of documentation to use Whatagraph. \u003C/p>\u003Cp>With our newly-released Whatagraph IQ, you don’t even need to build a report yourself from scratch—you can let us do it for you. \u003C/p>\u003Cp>✅\u003Cstrong> Let Whatagraph create marketing reports for you. \u003C/strong>You don’t need drag-and-drop widgets or dashboard templates anymore. With Whatagraph, just tell what kind of report you want us to build for you and we’ll do it—in seconds. \u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_IQ_report_generation_a55c59698f.png\" alt=\"Whatagraph IQ Report Generation - Interface to create a report with several options.\">\u003C/figure>\u003Cp>✅ \u003Cstrong>Generate widgets and charts instantly:\u003C/strong> Instead of spending hours building charts manually on Adverity, you can just type what you want on Whatagraph:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eccb73c16ecffedafcd42e726599b72dd\">“Show top campaigns by ROI for Q1.”\u003C/li>\u003Cli data-list-item-id=\"e393432912c517bd9937f6c92f6fca295\">“Give me a pie chart of ad spend by channel for the last 30 days.”\u003C/li>\u003C/ul>\u003Cp>Whatagraph IQ will generate these charts in seconds. Need edits? Type what you want to change and the widget updates automatically—no need to edit anything manually. \u003C/p>\u003Cp>\u003Cstrong>✅ Customize reports in 3 seconds.\u003C/strong> Forget manually styling reports for each client. Upload a screenshot of your (or your client’s) brandbook, or type a prompt, and Whatagraph will detect fonts and colors and apply them across your report in under 3 seconds. \u003C/p>\u003Cp>You can still fine-tune fonts, HEX codes, and colors, and even choose icons to make sure you’re on-brand.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_IQ_report_branding_42e76aca24.png\" alt=\"Whatagraph IQ Report Branding - Screenshot of a dashboard with branding customization options.\">\u003C/p>\u003Cp>\u003Cstrong>✅ Let Whatagraph organize your data for you. \u003C/strong>Instead of manually cleaning and reorganizing dimension values, just tell Whatagraph how you want them structured, and we’ll create new custom dimensions automatically. No manual checks, rule-building, or ongoing maintenance needed.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_IQ_custom_dimensions_98cafb3489.png\" alt=\"Whatagraph IQ Custom Dimensions - Interface showing prompt to group Facebook Ads campaign names into categories.\n\">\u003C/p>\u003Cp>\u003Cstrong>✅ Talk with your data.\u003C/strong> Ask questions about any of the data sources, regardless what Whatagraph page you are on and get instant answers to them. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_IQ_AI_chatbot_a98969f0e4.png\" alt=\"Whatagraph IQ AI Chatbot - A chatbot displays a list of click-through rates from June 2024 to April 2025.\n\">\u003C/p>\u003Cp>✅ \u003Cstrong>AI-generated insights that speak your client’s language.\u003C/strong> Instead of dumping data, Whatagraph’s AI can generate clear, actionable summaries in 18 languages, providing:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e213cadee49b0ad9f5e0bd9ff0b6ef1c4\">Summaries of performance\u003C/li>\u003Cli data-list-item-id=\"e80dbbc010c9aa28450e715a5963b2d1f\">Recommendations on next steps\u003C/li>\u003Cli data-list-item-id=\"e5bccd7b89c43cd12dcb873b4be173091\">Key wins\u003C/li>\u003Cli data-list-item-id=\"e9a1b770236ae3a3eb81bfd3a001e303d\">Issues to address\u003C/li>\u003C/ul>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_IQ_insights_generation_1e3e96f8eb.png\" alt=\"Whatagraph IQ Insights Generation - Text widget showing a summary of Facebook Ads performance.\">\u003C/p>\u003Cp>These insights help your clients understand what the numbers actually mean—without you spending hours writing explanations manually.\u003C/p>\u003Cp>All of this means:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e6ecac24489bb441e0b106206f9fbce16\">You can build and style reports \u003Cstrong>in seconds, not hours\u003C/strong>.\u003C/li>\u003Cli data-list-item-id=\"e796e0ee889a828714ae941b9b47a5d74\">Your reports look professional, on-brand, and client-ready with minimal effort.\u003C/li>\u003Cli data-list-item-id=\"e35608e36b769c62332c2a1e025a76afa\">Your clients get reports that are easy to understand, not just a data dump.\u003C/li>\u003Cli data-list-item-id=\"ef784f94dc0e31d1d7a3718d1efe41d1a\">Your team can focus on insights and strategy, not on fighting rigid layouts or spending hours aligning widgets.\u003C/li>\u003C/ul>\u003Cp>This is exactly why Patrick C., Director of Performance Marketing, says there is \u003Ci>“nothing better in the market”\u003C/i> and that Whatagraph\u003Ci> “beats a ton of other reporting dashboard vendors that are far more expensive”.\u003C/i>\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_positive_review_nothing_better_in_the_market_da0adf3a6d.png\" alt=\"Whatagraph Positive Review - Customer review with 5/5 rating and positive comments.\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-10983768\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Ch3>3. Straightforward pricing\u003C/h3>\u003Cp>One of the biggest complaints we saw about Adverity is that their pricing is expensive and unpredictable. \u003C/p>\u003Cp>Pricing can jump significantly when you add new connectors or features, which makes it difficult for agencies and small businesses to scale without ballooning costs. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Adverity_negative_review_expensive_8779172a8b.png\" alt=\"Adverity Negative Review - Customer review with a user profile and 4.5/5 rating.\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-11131217\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>Some users also note that Adverity’s pricing isn’t transparent, leaving them unclear about what’s included and what will trigger an unexpected bill.\u003C/p>\u003Cp>In contrast, Whatagraph’s pricing is straightforward. All our pricing plans include:\u003C/p>\u003Cp>✅ 55+ fully-managed integrations\u003C/p>\u003Cp>✅ Custom integrations via APIs, Google Sheets, and BigQuery\u003C/p>\u003Cp>✅ Unlimited dashboards and reports\u003C/p>\u003Cp>✅ Unlimited data blends, custom metrics, and dimensions\u003C/p>\u003Cp>✅ AI report & widget generator, AI performance summary writer, AI chatbot\u003C/p>\u003Cp>✅ Data transfer to BigQuery and Looker Studio\u003C/p>\u003Cp>✅ Dedicated Customer Success Manager with onboarding and training sessions and data migration assistance\u003C/p>\u003Cp>✅ Fast customer support via live chat\u003C/p>\u003Cp>We’re not going to claim we’re “cheap”. But we guarantee you—you’ll never be stuck in a situation where you’ll need to drop a couple hundred dollars to get access to “premium” features or a proper onboarding session.\u003C/p>\u003Cp>In fact, this reviewer on G2 says we are a\u003Ci> “sizable investment”\u003C/i> but for the time saved, we are \u003Ci>“worth it.” \u003C/i>\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_positive_review_sizeable_investment_12b7fb7744.png\" alt=\"Whatagraph Positive Review - Online review with user avatar, rating, and written feedback.\n\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-10956471\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>\u003Cu>Source\u003C/u>\u003C/i>\u003C/a>\u003C/p>\u003Cp>Convinced Whatagraph is the best Adverity alternative for you? \u003Ca href=\"https://whatagraph.com/book-a-call\">\u003Cu>Talk to our team\u003C/u>\u003C/a> to get started.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eb9ddd01dcb8f089272ed65ce095c2c9f\">55+ native integrations\u003C/li>\u003Cli data-list-item-id=\"e900d154340865e248b53c9b1ac2a1d92\">Custom integrations through Custom API, Google Sheets, or BigQuery\u003C/li>\u003Cli data-list-item-id=\"e7cfd476892b961e6893eca8c018abef7\">AI report and widget generator\u003C/li>\u003Cli data-list-item-id=\"ef3467c52a7bd551fcfa4ddc28d8dabbb\">Custom metrics, dimensions, and data blends—AI custom dimensions generator\u003C/li>\u003Cli data-list-item-id=\"e8f77dc165e15c2359c4ceef207da6171\">AI chatbot and performance summary writer\u003C/li>\u003Cli data-list-item-id=\"ebdaa39eb0e7afa753e8fcb21b9384de5\">Library of pre-made dashboard and report templates\u003C/li>\u003Cli data-list-item-id=\"eb3e15ae40ba0f3ad72b90a8b9f78aa0b\">Goal pacing and alerts\u003C/li>\u003Cli data-list-item-id=\"e29be98bf75ec5add8cb7b0c392bf8cde\">Custom branding and white-label features\u003C/li>\u003Cli data-list-item-id=\"ead06f0b555c7af9b1aa868d27fc30e38\">Automated report sharing via email, links to live dashboards, and exports to Excel, PDF, and CSV\u003C/li>\u003Cli data-list-item-id=\"ea4cebe4b696e3154f72f865a54fa1e0a\">No-code data transfer to BigQuery and Looker Studio\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Whatagraph Reviews from Real Users:\u003C/strong>\u003C/p>\u003Cp>\u003Cstrong>“\u003C/strong>The dashboards are clean, easy to build, and perfect for client reporting. It pulls in data from Google Ads, Meta, LinkedIn, and even TikTok without any hassle. I love how I can set up automated reports that look great and are client-ready. No more fiddling with spreadsheets or wasting time building slides.” (\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-11069239\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Apart from all the valuable things the tool has in itself, throughout the years we've chatted with their support for minor issues multiple times, and they were very quick to fix everything of even make improvements based on our feedback. Stellar group of people, these.” (\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-10926049\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Whatagraph is an extremely user-friendly reporting tool that helps us communicate the key aspects of our clients' digital marketing in practically real-time.” (\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-10795471\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Pros and Cons\u003C/strong>\u003C/p>\u003Cp>Pros:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"edd88594b2c55abdb3aaf6a709f536f9e\">All-in-one marketing intelligence platform with stable connectors\u003C/li>\u003Cli data-list-item-id=\"ed6cf18819bffcd7413a62fc9bafff773\">0 manual work required with Whatagraph IQ\u003C/li>\u003Cli data-list-item-id=\"e73328f11f73af9f7a443779516d0fadb\">Extremely easy to use by anyone\u003C/li>\u003Cli data-list-item-id=\"e21c84948f3a06ebe7650cdcd303df424\">High customization for both your data and reports\u003C/li>\u003Cli data-list-item-id=\"e41af1c4ca2eb4f77052c70ff2dc8e91f\">Fast campaign insights and summaries\u003C/li>\u003C/ul>\u003Cp>Cons:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e22fd4f4f53f07d7442a8b713527d171f\">57 integrations might not be enough for you\u003C/li>\u003Cli data-list-item-id=\"ef18bb5016480068da50b2191c4ef3db1\">Only 2 data destinations (as of July 2025)\u003C/li>\u003C/ul>\u003Ch2>2. Funnel.io\u003C/h2>\u003Cp>\u003Cstrong>Most suitable for:\u003C/strong> Enterprises and big agencies needing a robust, scalable marketing data pipeline\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/R0ks_NsEdjM\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/R0ks_NsEdjM\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/funnel-io-alternatives-and-competitors\">\u003Cu>Funnel.io\u003C/u>\u003C/a> is a marketing data integration platform that helps you collect, organize, and export data from 600+ marketing, analytics, and CRM platforms. \u003C/p>\u003Cp>It’s like a centralized “data hub” that automates pulling in marketing data and sending it to your BI tools, data warehouses, or spreadsheets.\u003C/p>\u003Cp>If you don’t see a connector, you can also import your own data using a Google sheet, or request the Funnel team to build one for you.\u003C/p>\u003Cp>Unlike Adverity, which many users find complex and overwhelming without clear onboarding, Funnel is praised for being easy to use and quick to set up, even for non-technical teams.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eac29f79e76f9f42422928c788eba5211\">600+ native connectors for marketing, analytics, and CRM platforms\u003C/li>\u003Cli data-list-item-id=\"e7214e09d5aa42837a8a446e1183ebe18\">Automated, continuous data collection\u003C/li>\u003Cli data-list-item-id=\"e51c89cba9b3fce021f1a60266d27f616\">No-code data mapping for custom metrics and dimensions\u003C/li>\u003Cli data-list-item-id=\"e22c5b27345f45d32718bfcf0fac4005d\">Data export to Looker Studio, Tableau, Power BI, BigQuery, Snowflake, and Google Sheets\u003C/li>\u003Cli data-list-item-id=\"e41eb9808a11173cf1bd1e4d94d20647d\">Anomaly detection and pattern recognition for faster insights\u003C/li>\u003Cli data-list-item-id=\"e274fa78ac74eb459f2c9fd2d72c65b2c\">GDPR, CPPA, SOC-2, and ISO 27001 compliance\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Funnel Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“The best thing I've found while using it is you can almost do EVERYTHING you would like to, and it is quite easy to figure out. And if you can't do something, the amazing staff will help you so quickly and if it's possible they know it.” (\u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-9453891\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Funnel is only as good as the other services you have in your data stack. You will want to layer in a good data warehouse and visualization tool to transform the data being collected into something actionable.” (\u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-11259870\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Although the tool is powerful and useful, the incremental price increase makes it a bit harder to sell to our executives, and we need to continuously pause data sources if we no longer use them to save previous flexpoints.” (\u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-9384992\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Pros and Cons\u003C/strong>\u003C/p>\u003Cp>Pros:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e3dfd696e6c52fded2e4a4b4b1326c695\">Extensive connector library\u003C/li>\u003Cli data-list-item-id=\"ea14ccc45bd5915c31f218ff77dcd81a2\">User-friendly, intuitive setup\u003C/li>\u003Cli data-list-item-id=\"e48e37f0c45f32c8ff46be230e5d11d80\">Responsive customer support (often)\u003C/li>\u003Cli data-list-item-id=\"efe8da1f9d3493fdaff9e93362f1ad79a\">Customizable reporting and metrics\u003C/li>\u003C/ul>\u003Cp>Cons:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e2989076ed91b727084971e98c6f6471a\">Connectors break often\u003C/li>\u003Cli data-list-item-id=\"ece19f41a2a7301596030866f69a7a22b\">Limited data transformation\u003C/li>\u003Cli data-list-item-id=\"e5377caa7b2b8604fde6bc27cd33b24d3\">Expensive  for advanced use\u003C/li>\u003Cli data-list-item-id=\"eb3aa85d69c2d0fc012babf4ed6386de4\">Inconsistent support for some users\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Funnel.io Pricing\u003C/strong>\u003C/p>\u003Cp>Funnel.io uses a flexpoint-based pricing model. Flexpoints are credits consumed based on the number of data connectors, destinations, and data volume you use. \u003C/p>\u003Cp>Pricing varies significantly based on usage and requirements:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;vertical-align:top;\">\u003Cstrong>Plan\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;vertical-align:top;\">\u003Cstrong>Connectors\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;vertical-align:top;\">\u003Cstrong>Destinations\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;vertical-align:top;\">\u003Cstrong>Flexpoints (Monthly)\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;vertical-align:top;\">\u003Cstrong>Typical Price Range\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;vertical-align:top;\">\u003Cstrong>Notes\u003C/strong>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Free\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">4\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">1\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">400 (free)\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">$0\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Limited features and connectors\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Starter\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">121\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">3\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">500\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">~$1.2/flexpoint/month\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">For small teams, limited connectors\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Business\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">579+\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Multiple\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">500+\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">$399–$1,100+/month\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">More integrations, custom connectors\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Enterprise\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">590+\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Custom\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Custom\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">$1,500–$2,500+/month\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:6pt;\">Advanced features, custom pricing\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Please note though that these prices are just estimates, since Funnel itself doesn’t share their pricing publicly.\u003C/p>\u003Cp>You can get a more detailed pricing breakdown in this \u003Ca href=\"https://whatagraph.com/reviews/funnel-io\">\u003Cu>Funnel.io review\u003C/u>\u003C/a> guide we recently wrote. \u003C/p>\u003Ch2>3. Supermetrics\u003C/h2>\u003Cp>\u003Cstrong>Most suitable for: \u003C/strong>Agencies and marketing teams that need to automate data collection across many sources and already have BI tools for reporting.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/8u7N-06j8dw\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/8u7N-06j8dw\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/supermetrics-competitors-and-alternatives\">\u003Cu>Supermetrics\u003C/u>\u003C/a> is a data integration and aggregation platform that helps marketers and analysts collect and centralize data from 150+ marketing, analytics, and CRM platforms. \u003C/p>\u003Cp>It pulls data into destinations like Google Sheets, \u003Ca href=\"https://whatagraph.com/blog/articles/google-data-studio-alternatives\">\u003Cu>Looker Studio\u003C/u>\u003C/a>, Power BI, and data warehouses, automating the reporting process and reducing manual work.\u003C/p>\u003Cp>Unlike Adverity, which can feel overwhelming without clear onboarding, Supermetrics is (relatively) straightforward for teams that only want to move and centralize data to Looker Studio, for example. \u003C/p>\u003Cp>However, it’s important to note that Supermetrics doesn’t include built-in dashboards. You’ll need to use a separate business intelligence or data visualization tool to build reports, as Supermetrics is purely a data pipeline.\u003C/p>\u003Cp>And their \u003Ca href=\"https://whatagraph.com/reviews/supermetrics\">\u003Cu>connectors are notorious for breaking often\u003C/u>\u003C/a>, causing your reports to be inaccurate. \u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e862d3e53a9d35d2b5d224db120bf8a83\">150+ \u003Ca href=\"https://whatagraph.com/blog/articles/supermetrics-connectors\">\u003Cu>Supermetrics connectors\u003C/u>\u003C/a> covering marketing, analytics, and sales platforms (Google Analytics, Facebook, Salesforce, Shopify, etc.)\u003C/li>\u003Cli data-list-item-id=\"e21d16c1f4d76afb07690e645648533d2\">Automated, scheduled data pulls and refreshes to keep reports up to date\u003C/li>\u003Cli data-list-item-id=\"ec9abc57db08b4115a696cb48410ae37f\">Custom queries and no-code fields for building advanced metrics\u003C/li>\u003Cli data-list-item-id=\"ecc37ed6429e354b6fa941b9bd1f5da0f\">Flexible data export to spreadsheets, BI tools, and data warehouses\u003C/li>\u003Cli data-list-item-id=\"ec866cd4aa6d8ce5ea43680c909b2f216\">GDPR, CCPA, SOC 2 Type II compliance for secure data handling\u003C/li>\u003Cli data-list-item-id=\"e38cbb0c2d2ba444080250a5c467423d3\">Custom data import options for handling email-based reports or manual uploads\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Supermetrics Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“Supermetrics have a ton of connectors to platforms like Facebook, TikTok, Google and more. They make it super simple to load data to Google Sheets and BigQuery.” (\u003Ca href=\"https://www.g2.com/products/supermetrics/reviews/supermetrics-review-10920809\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“The costs for additional output tools is crazy high.” (\u003Ca href=\"https://www.g2.com/products/supermetrics/reviews/supermetrics-review-10905990\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Adobe Analytics connector could be a bit easier to deal with. The server Outh does not work as expected when set up so I had to use the 2-week token (which is a pain to keep reauthorizing). Occasionally data sync issues with the Hubspot connector.” (\u003Ca href=\"https://www.g2.com/products/supermetrics/reviews/supermetrics-review-10224069\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Pros and Cons\u003C/strong>\u003C/p>\u003Cp>Pros:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e689004bb73b888a00a4e722dfcfbbeb2\">Huge connector library covering major and niche platforms\u003C/li>\u003Cli data-list-item-id=\"eb469dba3f20db139337283c01147487e\">Automates repetitive data pulls, saving time on manual collection\u003C/li>\u003Cli data-list-item-id=\"e03bebbefb64626117fc1828c89f3a797\">Does the job for moving data once connections are stable\u003C/li>\u003Cli data-list-item-id=\"eb4bce194a10df5af612240fed2f748fd\">Flexible exports to multiple BI and analytics tools\u003C/li>\u003C/ul>\u003Cp>Cons:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ead6248d382b422fbadd13c9fd7ab4a9f\">Pricing structure can become expensive as needs grow\u003C/li>\u003Cli data-list-item-id=\"ed381ed08be93486d012b4f818687dc09\">Unreliable connections with some social APIs (e.g., Facebook, Instagram), requiring re-authentication\u003C/li>\u003Cli data-list-item-id=\"e2e30c32f54b8d2aa65d413a0d5a8ea8d\">Steep learning curve and clunky UI for advanced workflows\u003C/li>\u003Cli data-list-item-id=\"ec8a604d80fc707c94251f83e37e91b7c\">No built-in dashboards or native reporting tools\u003C/li>\u003Cli data-list-item-id=\"e6eca488d5eef6d444d298bcd41d8223a\">Mixed support experiences, with slower response times on lower plans\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Supermetrics Pricing\u003C/strong>\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/supermetrics-pricing\">\u003Cu>Supermetrics pricing\u003C/u>\u003C/a> is quite complex. It’s based on destination, data sources, and user count, as well as by plan tier. \u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Plan\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Monthly Price (Billed Annually)\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Data Sources\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Users\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Features\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Plan\u003C/strong>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Starter\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">$29\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">3\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">1\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Single sign-on, no data volume fees\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Starter\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Growth\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">$159\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">7\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">2\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Data transformations, custom data import\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Growth\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Pro\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">$399\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">10\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">3\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Supermetrics Storage Basic, all Growth features\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Pro\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Business\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Custom\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Unlimited\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Custom\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Data warehousing, API access, premium support\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:0.68181825pt;padding:5pt;vertical-align:top;\">Business\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>But beware—many users note costs can escalate quickly if you need multiple connectors, destinations, or additional users, which isn’t ideal if you’re an agency that needs predictable pricing.\u003C/p>\u003Ch2>4. Coupler.io\u003C/h2>\u003Cp>\u003Cstrong>Most suitable for:\u003C/strong> Marketing teams and agencies that need automated multi-source reporting and analytics without the complexity of an enterprise data stack.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Coupler_adverity_alternative_c3e54736b3.png\" alt=\"Coupler - adverity alternative.png\" width=\"2048\" height=\"801\">\u003Ca href=\"https://www.coupler.io/\" target=\"_blank\" rel=\"noopener noreferrer\">Coupler.io\u003C/a> is a no-code data integration and AI analytics platform that helps teams collect, transform, and automatically refresh data from 400+ marketing, sales, finance, ecommerce, and other business sources.\u003C/p>\u003Cp>It lets users build automated data flows to destinations such as Google Sheets, Looker Studio, BigQuery, and Power BI without engineering support. Built-in transformations make it possible to combine data from multiple sources, clean and organize datasets, and prepare them for reporting within the same workflow.\u003C/p>\u003Cp>Compared with Adverity's more enterprise-oriented approach, Coupler.io is designed to make data integration and reporting accessible to teams that want to get started quickly without a lengthy technical setup. Users can configure automated data flows through a no-code interface and use ready-made dashboard templates to reduce the time required to build reports from scratch.\u003C/p>\u003Cp>Coupler.io also offers native AI capabilities for teams that want to analyze data conversationally. Through its MCP server, connected business data can be used with Claude, ChatGPT, Gemini, Perplexity, and Cursor, allowing users to explore their data using natural-language questions. Its built-in AI Agent provides another way to analyze business data directly within Coupler.io, while AI Insights in native dashboards can automatically summarize key findings and surface recommendations.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e33e8ddc51faee1c91951975e21f25834\">400+ integrations across marketing, sales, finance, ecommerce, and other business sources\u003C/li>\u003Cli data-list-item-id=\"ea30a9215f5b28a3e48abfd80821f90fb\">No-code data integration and automated data flows\u003C/li>\u003Cli data-list-item-id=\"e6a89c7362a00525dea7a03eedc758d00\">Built-in transformations for merging, filtering, formatting, and aggregating data\u003C/li>\u003Cli data-list-item-id=\"ef415b66f06681dea42c514c5244eb5d3\">Customizable schedules for automated data refreshes\u003C/li>\u003Cli data-list-item-id=\"e5b3571ea3a89b100846a471bec55ca14\">Multiple destinations, including spreadsheets, BI tools, and data warehouses\u003C/li>\u003Cli data-list-item-id=\"ede447b1fc766a354f6b4e9d9ef134dcb\">Native integrations with Claude, ChatGPT, Gemini, Perplexity, and Cursor via MCP\u003C/li>\u003Cli data-list-item-id=\"e941fb4e94f3d6780ebdbd1ef6fea28fa\">Built-in AI Agent for exploring and analyzing data using natural-language questions\u003C/li>\u003Cli data-list-item-id=\"e543237b1f1fe36e9ef93b9341d1b4567\">Ready-to-use dashboard and reporting templates\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Coupler.io Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“Overall, I’m very satisfied with the experience and would highly recommend this app to anyone looking for a reliable and user-friendly data integration solution.”(\u003Ca href=\"https://www.capterra.com/p/202311/Coupler-io/#Capterra___7022367\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>“Coupler.io has become an essential tool in our reporting process. The ability to automate data imports, stitch multiple sources together, and maintain clean, organized datasets has dramatically improved our efficiency. It’s reliable, easy to maintain, and has saved us hours of manual effort.” (\u003Ca href=\"https://www.capterra.com/p/202311/Coupler-io/#Capterra___7050937\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>“The biggest positive for me is how much faster our reporting has become. Being able to pull customised versions of our Mailchimp reports directly into our main marketing spreadsheet has saved us a huge amount of manual work. The dashboards are also genuinely helpful, especially the PPC coverage dashboards, which make monitoring performance far easier. Overall, the automation and ease of use have been game-changing!” (\u003Ca href=\"https://www.g2.com/products/coupler-io/reviews/coupler-io-review-12465781\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Pros and Cons\u003C/strong>\u003C/p>\u003Cp>Pros:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eb54ffd9cd47b7bcb34730255d6e0f046\">No-code setup suitable for marketing and other non-technical teams\u003C/li>\u003Cli data-list-item-id=\"efbc2436df8ff0641c084c957023d7c3a\">400+ integrations covering marketing and broader business data\u003C/li>\u003Cli data-list-item-id=\"e13d4e293c2f74b11872d9f848467630f\">Built-in transformations for preparing and combining data\u003C/li>\u003Cli data-list-item-id=\"ed3492f80f76ca2e394c490cede24f02d\">Multiple reporting destinations, from spreadsheets to data warehouses\u003C/li>\u003Cli data-list-item-id=\"eb4e47075219b7639ac24e1f909211f02\">Native AI integrations for conversational data analysis\u003C/li>\u003Cli data-list-item-id=\"ead590d204159f58f902ac3095c5416c3\">Ready-made dashboard templates that speed up reporting\u003C/li>\u003C/ul>\u003Cp>Cons:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e7fd05860bbe15bc94206e500d80d4137\">Pricing flexibility can be limited for smaller teams\u003C/li>\u003Cli data-list-item-id=\"e0d0ce1e2cbd1437374b1dbd6db193377\">Best suited to small-to-mid-size use cases rather than enterprise-scale ETL\u003C/li>\u003Cli data-list-item-id=\"e6b51c6083e257b0d8cc39e4beaefaaaf\">Some connectors can use up plan limits quickly\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Coupler.io Pricing\u003C/strong>\u003C/p>\u003Cp>Coupler.io uses a connection-based pricing model with a free tier for light use. Paid plans start at:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e963a5ed8c41533fd235615fb37b9865d\">\u003Cstrong>Starter -\u003C/strong> $24/month\u003C/li>\u003Cli data-list-item-id=\"e824eaa2b2a757dc393b5ae05c4b813b4\">\u003Cstrong>Active -\u003C/strong> $99/month\u003C/li>\u003Cli data-list-item-id=\"ed33889c59746939c386c6616c53b0599\">\u003Cstrong>Pro -\u003C/strong> $199/month\u003C/li>\u003Cli data-list-item-id=\"e47a6504def7edc56ffd7867ff16acf00\">\u003Cstrong>Agency & Enterprise -\u003C/strong> Custom\u003C/li>\u003C/ul>\u003Cp>Pricing scales primarily with usage requirements such as connections, accounts, users, and refresh frequency, allowing teams to choose a plan based on the size and complexity of their reporting workflows.\u003C/p>\u003Ch2>5. Improvado\u003C/h2>\u003Cp>\u003Cstrong>Most suitable for: \u003C/strong>Mid-sized to large agencies and enterprises with complex, high-volume marketing data needs.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Improvado_report_e18351b5a8.png\" alt=\"Improvado report - Whatagraph\">\u003C/p>\u003Cp>Improvado is a \u003Ca href=\"https://whatagraph.com/blog/articles/marketing-data-platform\">\u003Cu>marketing data platform\u003C/u>\u003C/a> built to help teams automate data integration, reporting, and analytics at scale. \u003C/p>\u003Cp>It pulls data from 500+ marketing, sales, CRM, and analytics platforms, centralizing everything into one place so you can build unified dashboards, analyze cross-channel performance, and share real-time insights with stakeholders.\u003C/p>\u003Cp>For teams who feel stuck spending hours maintaining data connections, troubleshooting API issues, and piecing together reports in Adverity, Improvado offers a more guided experience with responsive, hands-on onboarding and ongoing support to help you make the most of your data workflows.\u003C/p>\u003Cp>Improvado’s uniqueness lies in its AI-powered “campaign governance” solution which automatically validates campaign targeting, naming conventions, brand safety, KPI pacing, and more. It also validates the consistency of your performance metrics and alerts you about any issues.\u003C/p>\u003Cp>But because of the vast features available, it can take months to implement Improvado. This makes it a more suitable tool for enterprises who need a powerful data analytics platform, but it may be overkill for marketing agencies and small businesses.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e46354a51fa6fd34774f860518ad0a0f0\">500+ connectors for marketing, sales, CRM, and analytics platforms\u003C/li>\u003Cli data-list-item-id=\"e5da25784381b89dc2eabf7816a2b01df\">Automated extraction, transformation, and loading (ETL) of data\u003C/li>\u003Cli data-list-item-id=\"e79f80ad87c198dadb13dddb4d5714975\">Customizable dashboards for cross-channel insights\u003C/li>\u003Cli data-list-item-id=\"e7a80044a6dd76bbf5fac283f59046f48\">AI agents for anomaly detection, recommendations, and natural language queries\u003C/li>\u003Cli data-list-item-id=\"e8795b6b72a8563e77484ad4e42d56b94\">Scalable to 1 billion+ rows of data annually\u003C/li>\u003Cli data-list-item-id=\"e3a6cb4386547a2578ea59c2124978e7a\">Multi-user collaboration with workflow automation\u003C/li>\u003Cli data-list-item-id=\"e366a6da0faab5687dea99d78a24b7782\">SOC 2, HIPAA, GDPR, and CCPA compliance with robust security controls\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Improvado Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“The ease of use and constant communication was the best part of Improvado. Throughout the entire process we were very happy with the look of our dashboard and the metrics that it was able to pull.” (\u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-9477028\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“It requires technical experience. I wouldn't say this is a tool marketers or beginners can use. You'll need a developer depending on what you are looking to do.” (\u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11028164\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Improvado can be expensive, particularly for smaller businesses or startups with limited budgets.” (\u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-10298122\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Pros and Cons\u003C/strong>\u003C/p>\u003Cp>Pros:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e02ea95fba0712c3d70561858e4c0f6db\">Extensive integrations with frequent new connector support\u003C/li>\u003Cli data-list-item-id=\"ed18a400e20641b612f138f048d8a33f1\">Automates complex reporting workflows, saving manual effort\u003C/li>\u003Cli data-list-item-id=\"e718cd5cf2da6549a1b490a1547bf6083\">Flexible, customizable dashboards\u003C/li>\u003Cli data-list-item-id=\"ecdb038b94b0413ab18674961a62ebb7e\">Responsive, knowledgeable customer support\u003C/li>\u003Cli data-list-item-id=\"e37e778b54c4dcf114ecb5865162543bd\">Scales efficiently for large, multi-channel data volumes\u003C/li>\u003C/ul>\u003Cp>Cons:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ee04eeed4a02f5ed2f6c925f187b690bf\">Higher pricing, especially for smaller teams\u003C/li>\u003Cli data-list-item-id=\"eada66412ea4b04537b47c50289d310ef\">Steep learning curve for advanced features and technical setup\u003C/li>\u003Cli data-list-item-id=\"e8f3f6b49c2e83ce04d6a7e1370802838\">Some users want deeper built-in data transformation\u003C/li>\u003Cli data-list-item-id=\"eddf20615e3d1bffcddd6ba73d35f2c2a\">UI/UX could be more intuitive for non-technical users\u003C/li>\u003Cli data-list-item-id=\"eb8897bb94734c89a2b59e9a8b128aa0e\">Quote-based pricing lacks transparency\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Improvado Pricing\u003C/strong>\u003C/p>\u003Cp>Improvado uses quote-based pricing based on data volume, connectors, and organizational needs, but exact pricing is not available on their website.\u003C/p>\u003Cp>However, based on ex-Improvado users we’ve talked to and benchmarks online, here’s how much it can cost:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e8d303c0063cc990d8f9b3e103dbfe371\">\u003Cstrong>Growth: \u003C/strong>$3,000–$5,000/month (up to 200M rows)\u003C/li>\u003Cli data-list-item-id=\"ec5bf5e90670b450830b5dc0aa415d010\">\u003Cstrong>Advanced:\u003C/strong> $5,000–$8,000/month (up to 600M rows)\u003C/li>\u003Cli data-list-item-id=\"e802ba77e682b84161f53ddd2f860fdbe\">\u003Cstrong>Enterprise:\u003C/strong> $8,000–$10,000+/month (1B+ rows)\u003C/li>\u003C/ul>\u003Cp>There’s no public free tier, and annual contracts are common, reflecting its enterprise focus.\u003C/p>\u003Ch2>6. Fivetran\u003C/h2>\u003Cp>\u003Cstrong>Most suitable for: \u003C/strong>Data-driven teams and enterprises that need reliable, automated pipelines across many data sources without coding.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/TT85JYrCtIw?feature=shared\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/TT85JYrCtIw\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/fivetran-competitors\">\u003Cu>Fivetran\u003C/u>\u003C/a> is a fully managed, cloud-based ETL platform built to help teams centralize and sync data from hundreds of sources into data warehouses, lakes, or BI tools without coding or engineering help. \u003C/p>\u003Cp>With 600+ prebuilt connectors and automated schema management, Fivetran keeps your data pipelines flowing so your team can focus on analysis instead of pipeline maintenance.\u003C/p>\u003Cp>For teams tired of troubleshooting unreliable connectors or dealing with manual data cleaning in Adverity, Fivetran offers a “set it and forget it” experience, with data pipelines that adapt automatically to schema changes and keep data synced in near real time.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e5d0fe8fd0734289d3ece3d2383290991\">600+ prebuilt connectors across SaaS, databases, marketing, and cloud sources\u003C/li>\u003Cli data-list-item-id=\"eeeeb5ca2145b72686be9e87971c23448\">Custom connector SDK for unsupported sources\u003C/li>\u003Cli data-list-item-id=\"e58e34834a85028ac7c3043ae6ee4425a\">Automated data sync with near real-time updates\u003C/li>\u003Cli data-list-item-id=\"ee545e9a8538601d340d23926ba4430b0\">Automatic schema adaptation and management\u003C/li>\u003Cli data-list-item-id=\"e2774631e019c960fedfe3fc0374da7ba\">Integration with dbt and Coalesce for advanced SQL modeling\u003C/li>\u003Cli data-list-item-id=\"eb6cec7231bb9c29235d0a280d0cfd974\">Delivers data to Redshift, Snowflake, BigQuery, Databricks, and more\u003C/li>\u003Cli data-list-item-id=\"e58c5b78709f24eecfada966480b2331b\">SOC 2, GDPR, and CCPA compliance with strong security practices\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Fivetran Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“Fivetran excels at doing one thing incredibly well: reliably syncing data from multiple SaaS tools into a central data warehouse like BigQuery. The setup is remarkably fast—most connectors are essentially plug-and-play, with minimal configuration.” (\u003Ca href=\"https://www.g2.com/products/fivetran/reviews/fivetran-review-11328820\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“The pricing model can become expensive at scale, especially when dealing with large volumes of data or many connectors.” (\u003Ca href=\"https://www.g2.com/products/fivetran/reviews/fivetran-review-10359367\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Fivetran consulting takes care of the integration and maintenance which removes the hassle of onsite maintenance. They have a good customer support team that can answer questions in a timely manner.” (\u003Ca href=\"https://www.g2.com/products/fivetran/reviews/fivetran-review-11290425\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Pros and Cons\u003C/strong>\u003C/p>\u003Cp>Pros\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea233ea95f4b942783a045cbcfeb612e4\">Huge connector library that reduces the need for custom pipelines\u003C/li>\u003Cli data-list-item-id=\"e7cbcadb8f46c4004668c899f5e91a7c7\">No-code setup with fast onboarding\u003C/li>\u003Cli data-list-item-id=\"e7eb126e3a7d53aace187d4bd2317fa49\">Automated schema handling saves engineering time\u003C/li>\u003Cli data-list-item-id=\"e834d305feaa23ec1066f067fd5606130\">Scales reliably for large datasets and complex architectures\u003C/li>\u003Cli data-list-item-id=\"e99b3b19234174e87a631e1a8369bb02b\">Clear, helpful documentation\u003C/li>\u003C/ul>\u003Cp>Cons\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e3dee1690df686c4ae91a940dc89799c2\">Pricing can become expensive, especially at scale\u003C/li>\u003Cli data-list-item-id=\"eda6523d2b0976c391cc630973680fe8e\">New MAR-per-connector pricing requires close monitoring to avoid overruns\u003C/li>\u003Cli data-list-item-id=\"eaf5d6b14aa28d746a54ef244ee371b74\">Support responsiveness varies by tier\u003C/li>\u003Cli data-list-item-id=\"eb02510865447e15949ce2da727c85b6c\">Some connector gaps remain despite the large library\u003C/li>\u003Cli data-list-item-id=\"e599f7eabe700a373b7c2e8c2cafe4d85\">Built-in transformations are basic for advanced needs, often requiring SQL or external tools\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Fivetran Pricing\u003C/strong>\u003C/p>\u003Cp>Fivetran uses a volume-based pricing model based on Monthly Active Rows (MARs) per connector:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e37f0ecbff7381e8e27d4f188054c9fe2\">Entry-level plans start around $500/month, scaling up significantly as your data volume and connector count grow.\u003C/li>\u003Cli data-list-item-id=\"e877dcb29418eff30bfcd546fd7a97f40\">Additional charges apply for data transformation beyond the free tier.\u003C/li>\u003Cli data-list-item-id=\"e91d4f4a3fa5316dc74e6f3126543adf3\">Annual discounts are available for long-term commitments.\u003C/li>\u003C/ul>\u003Cp>While this pricing model benefits teams with one dominant data source, many users find costs escalate quickly when managing multiple connectors or fluctuating data volumes.\u003C/p>\u003Ch2>7. Klipfolio\u003C/h2>\u003Cp>\u003Cstrong>Most suitable for: \u003C/strong>Businesses that want flexible, customizable dashboards with strong data integrations at a reasonable price\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Klipfolio_dashboard_879ab160bb.svg\" alt=\"Klipfolio dashboard.svg\">\u003Ca href=\"https://whatagraph.com/blog/articles/klipfolio-alternatives-and-competitors\">\u003Cu>Klipfolio\u003C/u>\u003C/a> is a marketing analytics and BI platform that helps marketing teams, agencies, and internal teams track, visualize, and share KPIs and business data in real time. \u003C/p>\u003Cp>With 140+ integrations across SaaS apps, databases, cloud storage, and APIs, Klipfolio centralizes your data so you can build interactive dashboards and automate reporting workflows without heavy manual effort.\u003C/p>\u003Cp>For teams finding Adverity’s platform overwhelming for reporting or too focused on raw data pipes, Klipfolio offers a more visual, hands-on approach, letting you craft dashboards that clients and stakeholders actually want to read.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e4a714e7f99775e3e67ab0f9861c5aa44\">140+ integrations with SaaS, cloud, and database sources\u003C/li>\u003Cli data-list-item-id=\"e08a320a7e03774ccd044f8b945e52e35\">Customizable dashboards using “Klips” (widgets)\u003C/li>\u003Cli data-list-item-id=\"ec5338e24523d12ec74f397a6bafe37ac\">Drag-and-drop dashboard editor (after Klips are created)\u003C/li>\u003Cli data-list-item-id=\"e67742b4067c863b3282b8b01d4b8fe71\">Data blending and custom metrics (manual setup required)\u003C/li>\u003Cli data-list-item-id=\"e8d6329b6b526caf7f4dc4be8fd8a141a\">Pre-built templates (17 available) for faster setup\u003C/li>\u003Cli data-list-item-id=\"e77a1c14526dbaa2fe3325af8f9eb698d\">Report sharing via email, links, PDFs, and public dashboards\u003C/li>\u003Cli data-list-item-id=\"e23ed9977926db492117f628a10359af5\">Scheduled email snapshots for automated reporting\u003C/li>\u003Cli data-list-item-id=\"edf2ee5fff0d084c378ed710b5cfcb71b\">TLS 1.2 encryption and GDPR compliance\u003C/li>\u003Cli data-list-item-id=\"e53451dd3579b77d145d23f174dff67dc\">Role-based access controls and SSO (on higher plans)\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Klipfolio Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“It's very intuitive and the UI is clean. The integrations capabilities are nice.” (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-10718841\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Their customer service is terrible. I felt very scammed because in the beginning they were telling me a different price than what I was being shown in their own portal.” (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-10028175\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Works really well with a small set of data but it hangs several times when we did analysis on a larger set of data.” (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-8171459\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Pros and Cons\u003C/strong>\u003C/p>\u003Cp>Pros:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e44586fbc1bf8f4c7c55e9aaf0483c024\">Strong integration coverage and API flexibility\u003C/li>\u003Cli data-list-item-id=\"e0cf74b9f94a80006dbfbc71444ce0535\">Beautiful, customizable visualizations\u003C/li>\u003Cli data-list-item-id=\"e79107aa371d5817907e62d219429f81c\">Easy drag-and-drop dashboard creation\u003C/li>\u003Cli data-list-item-id=\"ed47d246d4768b436ab54ff6f77472058\">Flexible sharing options (links, email, PDF)\u003C/li>\u003Cli data-list-item-id=\"ea989c1a161e1cabaa1afcd40ee86ab1c\">Cost-effective compared to larger BI tools\u003C/li>\u003Cli data-list-item-id=\"e021cfc3adef490156c3b9dc5c6acde96\">Helpful documentation and onboarding resources\u003C/li>\u003C/ul>\u003Cp>Cons:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ee3e095cdd24ea97c02f158be55fc621b\">Steep learning curve for advanced setups and custom metrics\u003C/li>\u003Cli data-list-item-id=\"e229ef07c24d71b7ad22c32187aad6810\">Occasional slow load times with large datasets\u003C/li>\u003Cli data-list-item-id=\"e51e1aa2cb05b53d097428d21a9b27896\">Limited pre-built templates, requiring more manual setup\u003C/li>\u003Cli data-list-item-id=\"ecd41b02caa2eeeca5d799b5b0c65baf5\">Connector reliability issues, especially with some social platforms\u003C/li>\u003Cli data-list-item-id=\"e467f5b8767db8dd02b779ad9ff15102d\">Customer support can be inconsistent on lower plans\u003C/li>\u003Cli data-list-item-id=\"e94c87d03ef3f257c240229e2b1001c0c\">No built-in AI for automated insights or summaries\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Klipfolio pricing\u003C/strong>\u003C/p>\u003Cp>Klipfolio offers two types of pricing plans—one for businesses and one for agencies.\u003C/p>\u003Cp>Here’s how the pricing looks like for businesses (all monthly billing):\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ef8866436c381d51febe679759cd792ae\">\u003Cstrong>Base:\u003C/strong> $140/month (3 dashboards, 4 hour data refresh rate, unlimited users)\u003C/li>\u003Cli data-list-item-id=\"ecde594db7ec58d56cb8670800922ed57\">\u003Cstrong>Grow:\u003C/strong> $220/month (10 dashboards, 1 hour data refresh rate, scheduled reports, published links)\u003C/li>\u003Cli data-list-item-id=\"e79da11825ebabd949aabd6028ae3093a\">\u003Cstrong>Team:\u003C/strong> $350/month (20 dashboards, 15 min data refresh rate, SSO)\u003C/li>\u003Cli data-list-item-id=\"ef60509b2ea2e5bfb7da19d6e138969d3\">\u003Cstrong>Team+: \u003C/strong>$690/month (40 dashboards, up-to-the-minute data refresh rate, custom onboarding, priority support)\u003C/li>\u003C/ul>\u003Cp>And here’s how it looks like for agencies (all monthly billing):\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e30cd3768b64c5dea04018fa9661a31e3\">\u003Cstrong>Starter: \u003C/strong>$180/month (5 dashboards, 5 clients, 4 hour data refresh rate)\u003C/li>\u003Cli data-list-item-id=\"ed5e6c4483e69bcdd51cf37ee6c8537f3\">\u003Cstrong>Lite:\u003C/strong> $270/month (15 dashboards, 15 clients, 1 hour data refresh rate, published links, scheduled reports)\u003C/li>\u003Cli data-list-item-id=\"ecf7a66deba5254572ce29d56c48582f5\">\u003Cstrong>Pro: \u003C/strong>$420/month (30 dashboards, 30 clients, 30 min data refresh rate, custom domain, priority support, SSO)\u003C/li>\u003Cli data-list-item-id=\"e7a0a32eb19038d7405af3a250e6e6ccf\">\u003Cstrong>Premier:\u003C/strong> $1025/month (80 dashboards, 80 clients, 30 min data refresh rate, custom onboarding, custom theme)\u003C/li>\u003C/ul>\u003Ch2>8. Tableau \u003C/h2>\u003Cp>\u003Cstrong>Most suitable for: \u003C/strong>Enterprises that need advanced, interactive dashboards and robust visual analytics\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Tableau_27dd37a104.png\" alt=\"Tableau marketing dashboard - Whatagraph\">Tableau is a powerful business intelligence (BI) and analytics platform that helps teams transform complex data into clear, interactive dashboards that drive decisions. \u003C/p>\u003Cp>Part of the Salesforce ecosystem, Tableau connects seamlessly to hundreds of data sources, so you can unify marketing, sales, and operational data while building beautiful dashboards—without heavy coding.\u003C/p>\u003Cp>If you’re frustrated with the static, hard-to-customize reports in Adverity, you’ll love Tableau’s drag-and-drop dashboard builder. \u003C/p>\u003Cp>But perhaps the biggest advantage of Tableau over Adverity is Tableau Einstein (formerly Tableau Next), a fully integrated AI-powered analytics suite. With Einstein, you can:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e7741069cde96bb14c7172d7d341a1dc8\">Generate predictive insights automatically to forecast campaign outcomes.\u003C/li>\u003Cli data-list-item-id=\"ed0e3eabb9458d2af0a783c416333ad18\">Use natural language queries to explore data quickly without SQL.\u003C/li>\u003Cli data-list-item-id=\"e83e71d9fc5f59203e468285d03ccf9b3\">Receive anomaly detection alerts, trend analysis, and AI-driven recommendations directly within dashboards.\u003C/li>\u003Cli data-list-item-id=\"e48870c2fcd82a7fd31bb6dea0fa1af48\">Leverage an AI semantic layer for consistent data interpretation across teams.\u003C/li>\u003C/ul>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Tableau_Einstein_08499a3f31.png\" alt=\"Tableau Einstein dashboard - Whatagraph\">\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ee7b87f7bc9363165ac3d36a231e9e1f8\">Connects to hundreds of data sources, including spreadsheets, APIs, cloud services, and databases\u003C/li>\u003Cli data-list-item-id=\"e055f17035f0a40199ca8dd5864954225\">Drag-and-drop dashboard builder with 30+ visualization types\u003C/li>\u003Cli data-list-item-id=\"e86726c0f2bd842fc723cfd4793336f5a\">Tableau Einstein for predictive analytics, natural language queries, and advanced AI insights\u003C/li>\u003Cli data-list-item-id=\"e03554f407b805b94b57d52b6aaf4f131\">Custom, interactive dashboards for deep client reporting\u003C/li>\u003Cli data-list-item-id=\"e8d158b16a705520970f98bbe22f531a0\">Automated report scheduling and sharing via email, links, or exports\u003C/li>\u003Cli data-list-item-id=\"ee9c3773bd79ea78878c3700c97de2460\">Role-based access control and collaboration features for teams\u003C/li>\u003Cli data-list-item-id=\"ef3c15614a18b35e725fdfc7532539fb2\">Project tree navigation for organizing large reporting environments\u003C/li>\u003Cli data-list-item-id=\"e4734ee3da4745e340788da58d9a72d27\">SOC 2, GDPR, and CCPA compliance for secure data handling\u003C/li>\u003Cli data-list-item-id=\"e98246820ccb0dc6d0f015d5c29e28595\">Developer APIs for embedding Tableau visualizations in client portals\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Tableau Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>“Tableau makes it very very easy to turn the raw data into clear visuals. The dragdrop user interface saves you a lot of time and the multiple kinds of chart types helps present insights in the best way possible.” (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-11369708\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Ease of use to build comprehensive dashboards as per the requirements. Another major aspect is the ability to integrate with different data sources that makes the entire process quite seamless for us.” (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-11363990\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>“Tableau can be overwhelming for beginners — building advanced dashboards requires time and practice. Performance sometimes slows down with large datasets or complex calculations. The licensing cost can be high for small teams or individual users, and version compatibility between Tableau Desktop and Server sometimes causes minor headaches.” (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-11363310\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cu>Source\u003C/u>\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Pros and Cons\u003C/strong>\u003C/p>\u003Cp>Pros:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eb77de8d9cd3f7785c3554eb92f3231de\">Easy, intuitive drag-and-drop dashboard building\u003C/li>\u003Cli data-list-item-id=\"e55db7baad68ab2e4a9336d0d8d970e60\">Advanced AI-powered analytics with Tableau Einstein\u003C/li>\u003Cli data-list-item-id=\"ea9c979cad9df820932dbf6fee9f80437\">Strong community resources and learning support\u003C/li>\u003Cli data-list-item-id=\"eea948d67bf1a5f7c251ea58343f2d1f1\">Seamless integration with Salesforce ecosystem and a wide range of data sources\u003C/li>\u003C/ul>\u003Cp>Cons: \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e337c85e40eb36c7df815d3d066914e99\">Higher licensing costs, especially for scaling teams\u003C/li>\u003Cli data-list-item-id=\"e0a582beca6720286471ea053222f9b74\">Performance slowdowns on large datasets or complex dashboards\u003C/li>\u003Cli data-list-item-id=\"e07d408f73740b594d0db7aa2d329f718\">Steep learning curve for advanced capabilities\u003C/li>\u003Cli data-list-item-id=\"ea6101e5677b2637ca531a151f45004fd\">Occasional connection reliability issues\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Tableau Pricing\u003C/strong>\u003C/p>\u003Cp>Tableau uses a tiered, per-user, per-month pricing model, billed annually:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea80fed0353ce317bd72a0a65fd771ac0\">Enterprise Creator: $115/user/month\u003C/li>\u003Cli data-list-item-id=\"eb6aeefff344a1c5e95b2bac72d8d85be\">Enterprise Explorer: $70/user/month\u003C/li>\u003Cli data-list-item-id=\"ed9ca5b07a00e8afdd3dea3aca5360c80\">Enterprise Viewer: $35/user/month\u003C/li>\u003C/ul>\u003Cp>All plans are billed annually, with a free trial available for teams wanting to test Tableau before committing. While Tableau’s pricing is aligned with its enterprise-grade capabilities, agencies and smaller teams will need to evaluate these costs carefully as they scale.\u003C/p>\u003Ch2>Recap: Which Adverity alternative is right for you?\u003C/h2>\u003Cp>Here’s a quick breakdown to help you find the best tool for your team:\u003C/p>\u003Cp>✅ If you want an \u003Cstrong>all-in-one marketing intelligence platform with zero learning curve and powerful AI features\u003C/strong>—choose Whatagraph. \u003C/p>\u003Cp>✅ If you need \u003Cstrong>advanced, scalable BI with AI-powered analytics and best-in-class dashboards\u003C/strong>—choose Tableau. \u003C/p>\u003Cp>✅ If you want a \u003Cstrong>lightweight, affordable reporting tool for clear, automated client reporting\u003C/strong>—choose Klipfolio. \u003C/p>\u003Cp>✅ If you want a \u003Cstrong>flexible data pipeline to feed your existing dashboards\u003C/strong>—choose Supermetrics, Funnel.io, or Coupler.io.\u003C/p>\u003Cp>✅ If you need a \u003Cstrong>reliable, “set-and-forget” ELT pipeline to keep your BI tools fres\u003C/strong>h—choose Fivetran.\u003C/p>\u003Cp>✅ If you’re looking for an \u003Cstrong>enterprise-grade, AI-powered platform for multi-channel marketing data\u003C/strong>—choose Improvado. \u003C/p>\u003Cp>No matter your agency’s size or the marketing channels you manage, there’s an Adverity alternative that can help you streamline your reporting, save time, and deliver clearer insights to your clients.\u003C/p>","2025-07-10T10:23:47.205Z","2026-08-17T08:44:39.719Z","2026-08-17T08:44:39.885Z","2026-08-17","u6074opogswskh9p9ozbzu7x",{"id":699,"name":700,"alternativeText":701,"caption":33,"width":702,"height":703,"formats":704,"hash":710,"ext":384,"mime":385,"size":711,"url":712,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":713,"updatedAt":714,"documentId":715,"publishedAt":373,"focalPoint":33},16112,"Alternatives _ 7 Best Adverity Alternatives.png","Alternatives - Five white squares with \"im\", \"W\", \"Adverity\", \"fp\", and \"K\" logos on a blue background.",2912,1636,{"thumbnail":705},{"ext":384,"url":706,"hash":707,"mime":385,"name":708,"path":33,"size":709,"width":575,"height":576},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Alternatives_7_Best_Adverity_Alternatives_b8cdff2c4e.png","thumbnail_Alternatives_7_Best_Adverity_Alternatives_b8cdff2c4e","thumbnail_Alternatives _ 7 Best Adverity Alternatives.png",25.54,"Alternatives_7_Best_Adverity_Alternatives_b8cdff2c4e",766.24,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Alternatives_7_Best_Adverity_Alternatives_b8cdff2c4e.png","2025-12-29T08:08:05.079Z","2025-12-29T08:08:08.093Z","r9rgexilrrv5hlmy0ukzxxrh",{"id":585,"name":586,"about":587,"email":588,"createdAt":589,"updatedAt":590,"publishedAt":591,"slug":592,"linkedin_url":593,"documentId":594},{"id":92,"title":718,"slug":719,"subheading":720,"createdAt":721,"updatedAt":722,"publishedAt":723,"documentId":724},"Alternatives","alternatives","Compare the best reporting and data platforms in the business","2024-09-30T12:31:40.776Z","2026-07-23T15:12:58.676Z","2026-07-23T15:12:58.789Z","cbxupqrhy6d1c86xnu4a7ao9",{"id":726,"title":727,"slug":728,"summary":729,"body":730,"read_time":23,"createdAt":731,"updatedAt":732,"publishedAt":733,"errors":33,"table_of_contents":34,"dateReorder":734,"documentId":735,"cover_image":736,"author":752,"article_category":753},3025,"We tested the 9 best AI reporting tools for marketers [2026]","ai-reporting-tools","\u003Cp>The best AI reporting tools in 2026 are the ones with a governed data layer underneath the AI, not the ones with the longest AI feature list.\u003C/p>\u003Cp>For agencies, Whatagraph, NinjaCat, and AgencyAnalytics are the best fits. For data teams, that’s Funnel and Improvado, and for enterprises, Tableau and Power BI.\u003C/p>\u003Cp>In this article I tested nine AI reporting tools against six criteria, and shared customer reviews and top features of reach.\u003C/p>","\u003Cp>In 2026, every tool has shipped AI. AI agents, natural language queries, MCP servers—the whole nine yards.\u003C/p>\u003Cp>The question now isn’t about “which reporting tool has AI?” but more “which reporting tools with AI \u003Cstrong>can I trust?\u003C/strong>”\u003C/p>\u003Cp>Because you can’t always trust what AI gives you back.\u003C/p>\u003Cp>\u003Ca href=\"https://neilpatel.com/blog/ai-hallucination-data-study/\" target=\"_blank\" rel=\"noopener noreferrer\">NP Digital's AI Hallucinations and Accuracy Report\u003C/a> shows that across 600 tested prompts and a survey of 565 US marketers, reporting and analytics came back as one of the three task categories where AI errors show up most, at a 34.2% daily error rate.\u003C/p>\u003Cp>\u003Cstrong>Over 70% of marketers now spend one to five hours a week fact-checking AI output.\u003C/strong>\u003C/p>\u003Cp>Here’s an interesting study that explains the root causes of AI hallucinations in data. \u003Ca href=\"https://docs.getdbt.com/blog/semantic-layer-vs-text-to-sql-2026\" target=\"_blank\" rel=\"noopener noreferrer\">dbt Labs ran an open-source benchmark\u003C/a> that compares querying AI on raw data vs. on a semantic layer—a governed data layer where your data is cleaned and standardized.\u003C/p>\u003Cp>Querying raw tables, Claude scored 90.0% and GPT 84.1%. Querying through a semantic layer, the same models scored 98.2% and 100%.\u003C/p>\u003Cp>This means: for queries covered by a well-modeled semantic layer, AI gives nearly 100% accurate answers, while when querying raw data, it’s not as accurate.\u003C/p>\u003Cp>[quote color-variant=\"4\"]\u003Cbr>The way to improve data accuracy isn't choosing the \"best\" AI reporting tool. It's adding a semantic layer between your raw data and the AI: one place where your metrics are defined, your dimensions are normalized, and your data is cleaned before the AI ever touches it.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Skip this part and all your AI-generated reports, performance summaries, and Claude answers will be incomplete or inaccurate.\u003C/p>\u003Cp>And a case study to back this up. For \u003Ca href=\"https://cloud.google.com/customers/overdose-digital\" target=\"_blank\" rel=\"noopener noreferrer\">Overdose Digital\u003C/a>, an agency running around 300 clients, client distrust of hallucinated results hindering them to go AI-first. So they rebuilt their reporting around a semantic layer instead of querying raw APIs, and this eliminated AI hallucinations.\u003C/p>\u003Cp>\u003Cstrong>👉 Check if your data is ready for AI with this \u003C/strong>\u003Ca href=\"https://whatagraph.com/ai-readiness-quiz\">\u003Cstrong>1-minute AI readiness quiz\u003C/strong>\u003C/a>\u003Cstrong>.\u003C/strong>\u003C/p>\u003Ch2>How I evaluated AI reporting tools for marketers\u003C/h2>\u003Cp>Taking this into consideration, I evaluated nine AI model reporting platforms in this article against six criteria.\u003C/p>\u003Cp>Here’s how to choose AI reporting tools:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e4eb2c286fd2a94a02343815a19689899\">\u003Cstrong>Governed semantic layer underneath the AI.\u003C/strong> Is there a layer where your data is cleaned and standardized or is the AI reading raw platform output?\u003C/li>\u003Cli data-list-item-id=\"e1e32a9347a2e9927e2b4b853c3053635\">\u003Cstrong>Connector reliability.\u003C/strong> Can you rely on the data connectors to stay connected without you having to babysit them?\u003C/li>\u003Cli data-list-item-id=\"ea041391a4fad4f9b559116f7755dd8fb\">\u003Cstrong>Scope of AI features.\u003C/strong> How much does the AI actually do? Building reports, writing summaries, running agents, answering in Claude or ChatGPT over MCP, or just one of those?\u003C/li>\u003Cli data-list-item-id=\"e8924700e0a160b050c546652c8f6ff3f\">\u003Cstrong>Narrative quality.\u003C/strong> Do these AI reporting tools generate natural language summaries that explain what changed and why accurately, \u003Ci>with\u003C/i> your business context?\u003C/li>\u003Cli data-list-item-id=\"e8082c2c1c077079249d59ac6d1779071\">\u003Cstrong>Anomaly detection.\u003C/strong> Do broken sources get caught before your client or manager catches them?\u003C/li>\u003Cli data-list-item-id=\"ed022273b53b8682c4ea3caafbfb14d7e\">\u003Cstrong>Scale across clients or locations.\u003C/strong> Templates, tags, and roll-ups that don't multiply your workload.\u003C/li>\u003C/ol>\u003Cp>The nine tools reviewed in this article fall into three categories:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e1ae53c559b32b5a38e5bb4a48c82fd7f\">All-in-one marketing intelligence and reporting platforms built for marketers\u003C/li>\u003Cli data-list-item-id=\"eb684f8047c3f5a0d319e215c658e3c02\">ETL and data ingestion platforms that pipe data into a BI tool you already own\u003C/li>\u003Cli data-list-item-id=\"e688b3babe00562dcb67070dd26047de6\">Enterprise BI platforms: more powerful but heavier on the pocket\u003C/li>\u003C/ul>\u003Cp>I've labeled each one below so you always know which kind you're reading about.\u003C/p>\u003Ch2>Top AI reporting tools 2026: quick comparison table\u003C/h2>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Tool\u003C/th>\u003Cth>Category\u003C/th>\u003Cth>Best for\u003C/th>\u003Cth>Entry price\u003C/th>\u003Cth>Key differentiator\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Whatagraph\u003C/strong>\u003C/td>\u003Ctd>All-in-one marketing intelligence\u003C/td>\u003Ctd>Mid-size agencies and multi-location operators\u003C/td>\u003Ctd>From €699/mo\u003C/td>\u003Ctd>Data layer and reporting layer in one product\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Tableau\u003C/strong>\u003C/td>\u003Ctd>Enterprise BI\u003C/td>\u003Ctd>Teams with an analyst or data engineer on staff\u003C/td>\u003Ctd>$75/Creator/mo\u003C/td>\u003Ctd>Deepest visualization and semantic modeling\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Power BI\u003C/strong>\u003C/td>\u003Ctd>Enterprise BI\u003C/td>\u003Ctd>Teams already inside Microsoft 365 or Fabric\u003C/td>\u003Ctd>$14/user/mo\u003C/td>\u003Ctd>Cheapest per seat, but AI needs Fabric capacity\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>NinjaCat\u003C/strong>\u003C/td>\u003Ctd>All-in-one, agent-first\u003C/td>\u003Ctd>Teams running a lot of accounts\u003C/td>\u003Ctd>Custom, est. $1,500+/mo\u003C/td>\u003Ctd>100+ prebuilt agents, runs inside your Snowflake\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Klipfolio\u003C/strong>\u003C/td>\u003Ctd>Dashboards plus metrics catalogue\u003C/td>\u003Ctd>Companies wanting one certified metric definition\u003C/td>\u003Ctd>$120/mo (Klips Base)\u003C/td>\u003Ctd>Certified metric catalog, sold as two products\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Funnel\u003C/strong>\u003C/td>\u003Ctd>ETL and data ingestion\u003C/td>\u003Ctd>Teams who already know their schema\u003C/td>\u003Ctd>$200/mo\u003C/td>\u003Ctd>Best-in-class connector stability\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Improvado\u003C/strong>\u003C/td>\u003Ctd>ETL, enterprise end\u003C/td>\u003Ctd>High-spend teams with data ops capacity\u003C/td>\u003Ctd>Custom, no public pricing\u003C/td>\u003Ctd>MCP with 84 tools that read and write\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>AgencyAnalytics\u003C/strong>\u003C/td>\u003Ctd>All-in-one for agencies\u003C/td>\u003Ctd>Agencies under about 30 clients\u003C/td>\u003Ctd>$20/client/mo\u003C/td>\u003Ctd>Every feature on one plan, including AI and MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Databox\u003C/strong>\u003C/td>\u003Ctd>All-in-one, dashboard-first\u003C/td>\u003Ctd>Teams wanting the lowest paid entry point\u003C/td>\u003Ctd>$79/mo (agency track)\u003C/td>\u003Ctd>AI credits capped monthly, no overage billing\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Let’s dig into each of them.\u003C/p>\u003Ch3>1. Whatagraph\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> All-in-one marketing intelligence platform and AI tool for automated reporting\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Mid-size marketing agencies and multi-location operators who need to report on cross-channel data\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/whatagraph_hero_38523c901d.png\" alt=\"whatagraph-hero.png\" width=\"2400\" height=\"1500\">Whatagraph is an all-in-one marketing intelligence platform built for scale with a semantic data layer powering every report, dashboard, and AI tool you use.\u003C/p>\u003Cp>You connect sources, define your metrics and dimensions once, and use this governed data to create client reports and internal dashboards, and to analyze your data with Claude or other AI tools.\u003C/p>\u003Cp>Here’s how it holds up against the five criteria we identified earlier:\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> Whatagraph’s \u003Ca href=\"https://whatagraph.com/data-hub\">Data Hub\u003C/a> stores, cleans, and standardizes your data instead of querying platform APIs live every time someone opens a report. These are ways you can build your semantic layer:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eaf92c982b231217378f763d541030b80\">\u003Cstrong>Blends.\u003C/strong> Combine datasets from different channels into one cross-channel view. You pick the join key, like Date or Campaign, and the join type. No SQL involved.\u003C/li>\u003Cli data-list-item-id=\"eb4be106532d82ae911d54e71d50f5cee\">\u003Cstrong>Source Groups.\u003C/strong> Roll multiple accounts from the same channel into one source, so five Google Ads accounts for the same client report as a single line instead of five.\u003C/li>\u003Cli data-list-item-id=\"e051fbd8c6f77ae810f1543852369feb8\">\u003Cstrong>Custom Metrics.\u003C/strong> Build calculated KPIs across any channel: blended ROAS, MER, CAC, margin. You set the output format as a number, percentage, or currency, and it applies correctly in every chart, table, and AI answer.\u003C/li>\u003Cli data-list-item-id=\"eed668cf6ded8f77fdd44c442988fe60e\">\u003Cstrong>Custom Dimensions.\u003C/strong> Fix inconsistent naming across platforms. Google calls a campaign one thing and Meta another, so you write a rule using naming patterns, regex, or conditions and both collapse into your convention. With Whatagraph IQ, you can just choose your sources, type out a prompt and AI maps out the dimensions for you.\u003C/li>\u003Cli data-list-item-id=\"e6a688fde2bf6174c26af9ec0de997e5f\">\u003Cstrong>Source management.\u003C/strong> Tag sources by region, account manager, industry, or client tier, and organize them into client folders so you can filter to any slice without scrolling through a source list.\u003C/li>\u003C/ul>\u003Cp>The best part is—all of this is built for non-technical marketers, so you don’t need to have a dedicated data team to build and manage the semantic layer.\u003C/p>\u003Cp>Plus, insights are self-served—anyone on your team can easily check the dashboards or ask Claude or ChatGPT over a \u003Ca href=\"https://whatagraph.com/blog/articles/google-ads-mcp\">Google Ads MCP\u003C/a> (for example) to get answers without routing through a data team.\u003C/p>\u003Cp>This is why teams like \u003Ca href=\"https://peakseven.com/\" target=\"_blank\" rel=\"noopener noreferrer\">Peak Seven\u003C/a> use Whatagraph as their “single source of truth” to keep teams aligned and clients in the loop without confusion, while \u003Ca href=\"https://whatagraph.com/case-studies/peak-seven\">saving 63 hours a month on reporting\u003C/a>. Kim Strickland, Digital Marketing Specialist, says:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Whatagraph has helped everyone on our team get on the same page about clients, what’s important, and how to talk to them. Our relationships with clients have been amazing, and we’ve even been able to retain them longer.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Cstrong>2. Connector depth and reliability.\u003C/strong> Whatagraph offers 65+ native integrations with marketing channels that are maintained by in-house engineers so you don’t have to babysit them. Self-healing widgets catch incompatible metrics or wrong dimensions before they break the report a client is about to open. \u003Ca href=\"https://www.linkedin.com/in/tanjastjepanovic/\" target=\"_blank\" rel=\"noopener noreferrer\">Tanja Keglić\u003C/a>, Performance Marketing Manager at Achtzehn Grad agency vouches:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>We don’t have any connection issues on Whatagraph at all. We just connected the platforms once, and that was it.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Across \u003Ca href=\"https://www.g2.com/products/whatagraph/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">283 G2 reviews\u003C/a> Whatagraph sits at 4.5, and a director of analytics who moved over from Datorama specifically credits the API integrations being maintained proactively. Another names the automated notification when a data source breaks. One cites the 99.95% uptime guarantee and says the platform hasn't gone down on them once.\u003C/p>\u003Cp>The honest gap is coverage, and it's the most consistent request in the reviews. Several reviewers ask for a wider range of platforms, and X Ads still isn't supported.\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> Whatagraph offers AI features for the entire reporting workflow:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e4959fa7d1a1eb17e5414f58f4326bf8d\">\u003Ca href=\"https://whatagraph.com/whatagraph-iq\">\u003Cstrong>Whatagraph IQ\u003C/strong>\u003C/a> is your fastest way to generate client-ready marketing reports. AI builds a full report, a tab, or a single widget from a text prompt, and IQ Themes pulls a client's brand colors and fonts from their logo. IQ Chat sits on the shared report link so clients ask their own questions instead of emailing you.\u003C/li>\u003C/ul>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:800/476;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_features_079cef57b3.gif\" alt=\"Whatagraph Features - A web dashboard with a sidebar menu and search bar at the top.\" width=\"800\" height=\"476\">\u003C/figure>\u003Cul>\u003Cli data-list-item-id=\"efb0394d38c19e276895efe3cc63d85ea\">\u003Ca href=\"https://whatagraph.com/mcp\">\u003Cstrong>Whatagraph MCP\u003C/strong>\u003C/a> connects Claude or ChatGPT to the same governed layer your reports read, in a five-step setup with no code.\u003C/li>\u003C/ul>\u003Cp style=\"text-align:center;\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_MCP_1e34080fac.gif\" alt=\"Whatagraph MCP.gif\" width=\"800\" height=\"613\">\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea28bec956f70b491f3785c12a5f9409f\">\u003Ca href=\"https://whatagraph.com/agents-waitlist\">\u003Cstrong>Whatagraph IQ Agents\u003C/strong>\u003C/a>, currently in early access, is the next step: instead of building reports or normalizations by hand, agents do it on your behalf with your instructions. This way you can onboard the next client or location in less than an hour - with all your sources connected, data cleaned, and reports automated. Agents also monitor for anomalies, broken connections, or off-pace goals and handle things on your behalf (with the appropriate permissions).\u003C/li>\u003C/ul>\u003Cp>Lars Maat, Co-Founder of Maatwerk Online agency, \u003Ca href=\"https://whatagraph.com/case-studies/maatwerk-online\">saves 100 hours a month on reporting\u003C/a> with Whatagraph’s AI. He says:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>Whatagraph’s AI saves time and energy for our marketing specialists—and the hours we’re saving is just pure profit. We now have the time to focus on more strategic things that help both our agency and our clients grow.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> IQ Summary, Whatagraph’s AI-assisted drafting report narratives tool, writes the performance commentary inside the report: a summary, wins, recommendations, issues, or whatever you prompt it for. It reads the governed data, not the raw feed, so the blended ROAS in the paragraph is the same blended ROAS in the widget above it.\u003C/p>\u003Cp>Or you can also connect your governed data to Claude or ChatGPT, upload your business context there (like artifacts or skills), ask the AI to write performance summaries and paste it back to your Whatagraph reports.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_summaries_Google_Analytics_reporting_tool_e6b084e94c.png\" alt=\"\" width=\"1440\" height=\"952\" ai=\"\" summaries=\"\" -=\"\" a=\"\" pop-up=\"\" window=\"\" showing=\"\" the=\"\" edit=\"\" widget=\"\" interface,=\"\" with=\"\" \"summary\"=\"\" and=\"\" \"recommendations\"=\"\" selected.\"\"=\"\">\u003C/p>\u003Cp>With IQ Agents, you can just ask an agent to do it for you on your behalf.\u003C/p>\u003Cp>\u003Cstrong>Because these narrative summaries are written based on your semantic data layer, they’re accurate analyses and not hallucinations.\u003C/strong>\u003C/p>\u003Cp>\u003Ca href=\"https://www.linkedin.com/posts/christophermarrano_60-hours-of-reporting-5-minutes-ai-generates-ugcPost-7401607402426359810-ye6W?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAfxqm8BdiuwIgrXPep7IFBVSZJ5K5BGDT8\" target=\"_blank\" rel=\"noopener noreferrer\">Marketers on LinkedIn\u003C/a> are also buzzing about how much they love Whatagraph’s AI reporting tool:\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1196/518;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Marketers_talking_about_Whatagraph_AI_reporting_tool_2e636cff43.png\" alt=\"Marketers Talking About Whatagraph AI Reporting Tool - Social media comments discussing a platform.\" width=\"1196\" height=\"518\">\u003C/figure>\u003Cp>\u003Cstrong>5. Anomaly detection.\u003C/strong> Whatagraph was built for true anomaly detection for marketers. You can create a portfolio overview of all your clients, accounts, and locations, broken down by custom tags that make sense for your business. Then, on top of each account or client, you set goals and limits like “$X maximum budget” or “100 leads expected”. Then you can set alerts for how your campaigns are pacing against these goals and get alerted via Slack or email.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_overviews_and_goals_42b2acb74a.png\" alt=\"Whatagraph Overviews And Goals - A PPC overview and alert settings interface.\" width=\"2070\" height=\"978\">\u003C/p>\u003Cp>\u003Cstrong>6. Scale across clients or locations.\u003C/strong> On Whatagraph, you can save everything as a template, which makes it wildly easy and fast to create new reports the next time you onboard a new client or location. For example, you create a custom metric once (e.g. blended ROAS) and save this metric as a “template” and add it to all new reports you want to create without having to build it again from scratch.\u003C/p>\u003Cp>Same thing with reports. Marketers on Whatagraph usually build a report template for specific clients (e.g. lead generation client), and then reuse this template the next time.\u003C/p>\u003Cp>What’s more, there’s this thing called “linked templates” which means you edit a “Master” report once (e.g. adding a new widget) and the change cascades to every report linked to it. Maatwerk Online runs 100+ clients on four pillar templates that cover 90% of them, saving around 100 hours a month.\u003C/p>\u003Cp>For multi-location, \u003Ca href=\"https://whatagraph.com/case-studies/rentable\">Rentable\u003C/a> runs 215 active customer reports across 5,000+ Google Business Profile sources, with account managers self-serving insights instead of filing tickets with the data team.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Scales_with_your_agency_5d47fa5ec7.png\" alt=\"Linked - An interface for an ad campaign management platform.\" width=\"2160\" height=\"1428\">\u003C/p>\u003Cp>Want to compare Whatagraph against other types of reporting tools? Check out this \u003Ca href=\"https://whatagraph.com/alternatives\">Whatagraph vs. Alternatives\u003C/a> comparison library.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ef4b2644314a366e721441d2a9ae40d99\">Metrics and dimensions defined once, applied everywhere\u003C/li>\u003Cli data-list-item-id=\"e6f1785a5508ffa053203b96b94f8edff\">Blends across Google, Meta, TikTok, and Shopify with no SQL\u003C/li>\u003Cli data-list-item-id=\"e58ec6e2495a1b1c879a1c203035fd7b9\">Self-healing connectors fixed by Whatagraph's team\u003C/li>\u003Cli data-list-item-id=\"e473e1960112be7ec122cad11065dd92f\">AI report building, summaries, and client-facing chat\u003C/li>\u003Cli data-list-item-id=\"e29e7365a3e79b0a7915e051d14a4c9b8\">Claude and ChatGPT access to the same governed data\u003C/li>\u003Cli data-list-item-id=\"e99430fab591deb2e19c281b9db4e0294\">Linked templates and tags for large client rosters\u003C/li>\u003Cli data-list-item-id=\"eb57313abeb76ed4fabc216ca6b049d9e\">Unlimited users and reports on both plans\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“Whatagraph is extremely flexible and the visuals are beautiful, which is important for having clients be engaged in the reports.” \u003Ca href=\"https://www.g2.com/products/whatagraph/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Whatagraph’s initial setup was easier than expected, with a flexible onboarding schedule and instant connections to data, allowing us to quickly produce reports and create reusable templates across clients.” \u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-13202214\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“It can be a bit slow to load at times, particularly for Amazon and Microsoft connectors. But this is few & far between.” \u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-12569787\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Whatagraph’s pricing scales with your team and AI usage. Check out \u003Ca href=\"https://whatagraph.com/pricing\">the pricing page\u003C/a> for the most updated information.\u003C/p>\u003Ch3>2. Tableau\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> Enterprise BI platform\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Teams with an analyst or data engineer who need modeling depth well beyond marketing reports.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/tableau_hero_1_b70ae039f0.png\" alt=\"tableau-hero (1).png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Tableau is a business intelligence and analytics software that’s mostly focused for enterprises with a dedicated data team.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> \u003Ca href=\"https://www.tableau.com/products/tableau-semantics\" target=\"_blank\" rel=\"noopener noreferrer\">Tableau Semantics\u003C/a> gives you a real semantic layer where metrics, relationships, and business rules live once, and the data connectors cover 200+ sources.\u003C/p>\u003Cp>2. \u003Cstrong>Connector reliability\u003C/strong>. Across \u003Ca href=\"https://www.g2.com/products/tableau/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">3,785 G2 reviews\u003C/a>, 275 people specifically praise how smoothly Tableau connects to multiple sources at once, and connections breaking barely registers as a theme.\u003C/p>\u003Cp>What does come up, over and over, is speed. Slow performance on large datasets is the biggest functional complaint at 155 mentions, with another 133 on slow loading times, 127 on large data handling, and 124 on general performance issues.\u003C/p>\u003Cp>Reviewers trace it to the same two causes: live connections to a slow database, or a data model nobody optimized. One Salesforce developer sums up the underlying point better than a vendor would: \"Tableau doesn't fix bad data.\" If the source is dirty, it visualizes the mess beautifully.\u003C/p>\u003Cp>\u003Cstrong>2. Comprehensive AI features.\u003C/strong> \u003Ca href=\"https://www.tableau.com/products/tableau-pulse\" target=\"_blank\" rel=\"noopener noreferrer\">Tableau Pulse\u003C/a> ships with every Cloud edition and delivers automated insights as metric digests.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:800/447;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_reporting_tools_20_ca5cc08697.png\" alt=\"AI Reporting Tools - Reporting dashboard with metrics for device sales, fill rate, and revenue.\" width=\"800\" height=\"447\">\u003C/figure>\u003Cp>Tableau Agent handles natural language queries, and \u003Ca href=\"https://tableau.github.io/tableau-mcp/\" target=\"_blank\" rel=\"noopener noreferrer\">Tableau MCP\u003C/a> servers are now generally available for Tableau Next, Cloud, and Server, with a fully cloud-hosted service on Tableau Cloud so you don't self-host.\u003C/p>\u003Cp>Point ChatGPT or Claude at it and you can query data sources and pull Tableau Pulse metrics conversationally. Other enterprise-level software like Domo and Zoho Analytics ship MCP servers now too, so this is table stakes across BI rather than a Tableau differentiator.\u003C/p>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> Pulse surfaces metric changes and pace-to-goal insights, and Data Monitor is generally available in Tableau Next.\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> Dashboard narratives and Pulse insights read well for an internal audience, and Einstein Discovery adds predictive analytics on top. But note that they’re more suitable for internal people who are already familiar with the data, and there's no white-labeled client report that you can paste the summaries into.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> This is where Tableau doesn’t win. Pricing and structure are per user, per site, so a new client means seats or an embedded analytics project rather than a linked report template.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ebc22dcf0af36ff4a86dc3bb0a1b70f2f\">Semantic layer with reusable metric definitions\u003C/li>\u003Cli data-list-item-id=\"e5a5e487547e6acd6e013ce8801bab1b4\">Tableau Pulse automated insights on every Cloud edition\u003C/li>\u003Cli data-list-item-id=\"e60540f965badb4271796ecc96e355b57\">Hosted MCP endpoint with OAuth 2.1\u003C/li>\u003Cli data-list-item-id=\"ed8c7762c45243faed6ebf822f57c3eb9\">200+ data connectors, warehouse-first\u003C/li>\u003Cli data-list-item-id=\"e8a6a207e486ad9d844ef1be4467430cd\">Deepest visualization and calculation library here\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“This platform is great at turning raw data into useful insights, giving business users the power to dig through and analyse large amounts of data, and to merge important KPIs themselves.” \u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-13124621\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Tableau can be resource-intensive with large datasets, and some advanced functionalities have a steep learning curve. Licensing costs can also be a concern for smaller teams.” \u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-13075232\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Tableau's greatest strength is also one of its challenges: it's a mature platform with an incredible depth of features. Because of that, new capabilities can sometimes take longer to reach users than we'd like, as they need to fit into an already robust ecosystem.” \u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-13060039\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Cloud Standard runs $75 per Creator, $42 per Explorer, and $15 per Viewer, per month, billed annually. Enterprise is $115, $70, and $35. Cloud+ adds Tableau Agent across Prep, authoring, catalog, dashboards, and Pulse, plus support for up to 50 sites, and is quoted by sales.\u003C/p>\u003Cp>Two key things to be aware of: every deployment needs at least one Creator, and all plans require an annual contract, with single-year deals running 20 to 30% more than multi-year. There's no free commercial tier.\u003C/p>\u003Ch3>3. Power BI\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> Enterprise BI platform\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Teams already living in Microsoft 365, Azure, or Fabric ecosystem.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/powerbi_hero_fc73488406.png\" alt=\"powerbi-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Power BI is one of the most powerful and popular AI tools for business reporting automation - if your company is already in the Microsoft ecosystem AND has a large data engineering team. If you’re not already in the Microsoft ecosystem though, expect to spend around $20,000 a year if you want the full AI suite.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> Power BI offers \u003Ca href=\"https://learn.microsoft.com/en-us/fabric/onelake/onelake-overview\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft OneLake\u003C/a>, which is a unified data lake for your entire organization and a central repo where you can store, manage, and organize your data. Microsoft also agrees with the thesis we defined earlier in the article—without star-schema modeling, naming, descriptions, and AI instructions in place, \u003Ci>“Copilot mainly produces low-quality and inaccurate outputs.”\u003C/i>\u003C/p>\u003Cp>However, and this can be a dealbreaker for marketing agencies—Power BI is extremely difficult to use for non-technical people, and insights cannot be self-served. This means when someone on your team, say an Account Manager,\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Across \u003Ca href=\"https://www.g2.com/products/microsoft-microsoft-power-bi/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">1,657 G2 reviews\u003C/a>, 66 people specifically praise how well Power BI connects to databases, and connectors breaking barely gets mentioned at all.\u003C/p>\u003Cp>However, “slow performance on large datasets” is the second most common complaint at 65 mentions, with another 29 on performance with complex reports and 27 on complex data modeling. \u003Cstrong>This means while Power BI’s connectors are stable, large datasets and complex reports and data models can get glitchy.\u003C/strong>\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> Power BI offers one-click data visualization from your governed data, natural language query, decomposition tree, anomaly detection, sentiment analysis, and forecasting—all with AI. Here’s an example of how the data visualization looks like:\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Power_BI_data_visualization_with_AI_51f90b7f1e.gif\" alt=\"Power BI data visualization with AI.gif\" width=\"1812\" height=\"1080\">\u003C/p>\u003Cp>\u003Ca href=\"https://techcommunity.microsoft.com/blog/educatordeveloperblog/power-bi-ai-features-for-all-data-analysts/3835447\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> Power BI’s anomaly detection system is more like a visualization feature rather than Goals and Alerts on Whatagraph. You create line charts and find anomalies in your time series data. Power BI itself \u003Ca href=\"https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-anomaly-detection\" target=\"_blank\" rel=\"noopener noreferrer\">admits the limitations\u003C/a>—anomaly detection is only supported for line-chart visuals containing time series data in the Axis field.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1812/1080;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Power_BI_anomaly_detection_f52149bc17.gif\" alt=\"Power BI anomaly detection.gif\" width=\"1812\" height=\"1080\">\u003C/figure>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> Copilot narrative visuals and summaries are solid for internal business reports. Same limitation as Tableau: nothing here is built to be the executive summary above a chart in a client's branded PDF.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> Scalability is a licensing question here, not a product one. Below F64, every viewer needs a Pro or PPU license; at F64 and above viewers need only a free license. For an agency sharing live dashboards with dozens of client contacts, that threshold is the entire decision.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e42fb035c9587c1eb0887061f4a634ad2\">Semantic models with reusable measures in DAX\u003C/li>\u003Cli data-list-item-id=\"eba89ce46f84d425be9396dd8e60ff004\">Copilot report generation and chat, on capacity\u003C/li>\u003Cli data-list-item-id=\"eff4e32aab0b693ca019649fabc97fc69\">GA Fabric data agents and local MCP server\u003C/li>\u003Cli data-list-item-id=\"e42fd179970113c03e392548dde5a291b\">Native to Microsoft 365, Teams, Excel, and Azure\u003C/li>\u003Cli data-list-item-id=\"e19af04a0d111a5b587ba2de3be17a11a\">Lowest per-seat entry price on this list\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“The sheer power of its data modeling capabilities is incredible. I can pull data from completely different sources—like SQL servers, Excel sheets, and cloud apps—and connect them flawlessly.” \u003Ca href=\"https://www.g2.com/products/microsoft-microsoft-power-bi/reviews/microsoft-power-bi-review-13248179\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Honestly a few things bug me. DAX is still brutal for beginners, it's powerful but way too easy to mess up and hard to debug. Pricing keeps creeping up too — Pro jumped to $14/user/month from $10, and Premium per-user is $24, and a lot of the good AI/Copilot stuff is locked behind those higher tiers.” \u003Ca href=\"https://www.g2.com/products/microsoft-microsoft-power-bi/reviews/microsoft-power-bi-review-12290482\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Performance can slow down when working with very large datasets locally, and there’s a steep learning curve when you get into more advanced DAX modeling.” \u003Ca href=\"https://www.g2.com/products/microsoft-microsoft-power-bi/reviews/microsoft-power-bi-review-13214111\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Power BI Pro is $14 per user per month and Premium Per User is $24, both billed yearly. Fabric capacity starts at F2, roughly $262.80/month pay-as-you-go, scaling to about $8,409/month for F64, or $5,002.67/month reserved for one year. Copilot requires F2 or above, or PPU. Reserved capacity cuts around 40%.\u003C/p>\u003Ch3>4. NinjaCat\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> All-in-one platform, agent-first\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Multi-account teams that want AI agents watching campaign performance instead of dashboards they have to remember to open.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/ninjacat_hero_cdf44ef323.png\" alt=\"ninjacat-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>NinjaCat repositioned itself from a marketing intelligence platform to an AI agent platform built for multi-account marketing teams, unifying data from 150+ sources, deploying customizable agents for automated reporting, pacing, anomaly detection, and optimization, and delivering client reports.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> \u003Ca href=\"https://www.ninjacat.io/marketing-performance-management-platform/marketing-data-management\" target=\"_blank\" rel=\"noopener noreferrer\">Data Cloud\u003C/a> handles automatic normalization, no-code transformations, and custom calculations across 100+ channels, including the common marketing platforms like Google Ads, gA4, and Meta Ads. Non-technical folks can use a visual editor and plain-English prompts to join, map, rename, and calculate fields. And their automatic normalization tidies up multi‑account, multi‑network campaign data.\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Reviewers like the breadth of connectors and complain about speed. NinjaCat scores 4.2 across \u003Ca href=\"https://www.g2.com/products/ninjacat/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">316 G2 reviews\u003C/a>, and the recent ones praise how many platforms it pulls from, naming GA4, Google Ads, Meta, and Yext in one report.\u003C/p>\u003Cp>The complaints are about what happens when you load it up: reports and templates that take a long time to open, and roll-up dashboards that time out when you put too many accounts in one view. \u003Cstrong>One agency wanted 60 accounts in a single dashboard but found NinjaCat could only handle about 20 sources.\u003C/strong>\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> NinjaCat has \u003Ca href=\"https://www.ninjacat.io/marketing-performance-management-platform/ai-agents\" target=\"_blank\" rel=\"noopener noreferrer\">AI agents\u003C/a> for virtually anything and everything—including negative keyword discovery, search-term mining, pacing and spend monitoring, cross-account benchmarking, ad copy QA, rank tracking, and renewal alerts, with 300+ additional agent starter packs in progress. Agents post findings into Slack and join live calls. Agent Builder also connects to external MCP servers, so agents can pull tools in from other platforms.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1951/1088;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_reporting_tools_12_fafffbf63e.png\" alt=\"AI Reporting Tools - Four profile cards, each showing a cartoon agent and relevant keywords.\" width=\"1951\" height=\"1088\">\u003C/figure>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> This appears as an agent in NinjaCat (surprise surprise). Here’s how it works: an anomaly agent spots a CPC spike across three accounts overnight, alerts the paid media team in Slack, a second agent diagnoses the cause, and it generates response options. Their published customer outcome: a team went from manually checking 50 clients twice a week to monitoring 200 daily in about 10 minutes.\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> Insight summarization is one of the standing agent jobs, and the reports are genuinely client-ready rather than internal-only marketing dashboards. You can also add more business context through the agents’ chat version.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> Built for it. Pricing is flat and includes users, sources, and reports rather than charging separately for seats, API access, or workspaces.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e6d99d4575ad4d0120c7139a127d37579\">100+ pre-built marketing AI agents\u003C/li>\u003Cli data-list-item-id=\"e558f96f8cd110c6dcdf8db7d7af47776\">Zero-copy Snowflake Connected App\u003C/li>\u003Cli data-list-item-id=\"e815f0f15e845caf4acc6450993086b62\">Automatic normalization and no-code transformations\u003C/li>\u003Cli data-list-item-id=\"e690926ad10252a32a199404a03aa71cb\">Agents post to Slack and join calls\u003C/li>\u003Cli data-list-item-id=\"e72ad11c15ed37fad5fb0376f1bd0a777\">Client-ready report layer on the data cloud\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“With all of the features available at Ninjacat the possibilities are endless. Ninjacat has a lot of connectors that are able to bring in data from countless platforms. It has a great campaign budget pacing system that I use everyday.” \u003Ca href=\"https://www.g2.com/products/ninjacat/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“The platform is straightforward to use and simple to navigate.” \u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11775284\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Stability is our biggest issue. We need something that can handle 60+ accounts in a dashboard at a time and Ninjacat is only stable at around the 10-20 accounts. This can be frustrating for our customers looking at a rollup dashboard because the dashboard will time out.” \u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-4212980\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>No public pricing. NinjaCat quotes per organization based on goals, scale, and required services. Third-party estimates put entry around $1,500/month and up; treat that as a market estimate, not a published figure. There's a fuller breakdown in our \u003Ca href=\"https://whatagraph.com/alternatives/ninjacat\">NinjaCat alternatives\u003C/a> piece.\u003C/p>\u003Ch3>5. Klipfolio\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> Dashboards plus a metrics catalogue\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> businesses that want certified metric definitions the whole organization self-serves from.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/klipfolio_hero_797f69e082.png\" alt=\"klipfolio-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Klipfolio is two products sold separately. Klips is the original formula-driven dashboard builder with 130+ integrations. PowerMetrics is the newer metric-centric platform where definitions get certified once and reused everywhere.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> \u003Ca href=\"https://www.powermetrics.app/\" target=\"_blank\" rel=\"noopener noreferrer\">PowerMetrics\u003C/a> is the governed layer, and it's a good one: certified metrics and a structured catalog with clean metadata, clear definitions, and consistent business language, connecting to services, spreadsheets, a warehouse, or a semantic layer. Klips takes the opposite approach: highly customizable interactive dashboards, formula-driven, with consistency left to you.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1515/1104;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/AI_reporting_tools_10_a41c2041db.png\" alt=\"AI Reporting Tools - Data visualization with a stacked column chart and settings pane.\" width=\"1515\" height=\"1104\">\u003C/figure>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Klipfolio scores 4.5 across \u003Ca href=\"https://www.g2.com/products/klipfolio/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">256 G2 reviews\u003C/a>, and connector breadth is one of the most-praised things about it. Reviewers call out direct connections to Salesforce, databases, spreadsheets, and APIs, plus being able to set a different refresh rate per source.\u003C/p>\u003Cp>The complaints are specific and technical, which makes them useful. Reviewers report a 10MB ceiling per data source, a 200-second query timeout, and a cap on refreshes per hour that larger organizations run into. One software engineer describes queries timing out inside Klipfolio while the same query keeps running against their database.\u003C/p>\u003Cp>Then, here’s the worst part: “data source crashes are silent.” This means when your data sources break, you don’t catch them before your client or manager does.\u003C/p>\u003Cp>\u003Cstrong>2. Comprehensive AI features.\u003C/strong> PowerMetrics AI takes natural language queries and builds visualizations, with all data processing and analysis performed inside the platform rather than sent to external services. \u003Ca href=\"https://www.powermetrics.app/features/mcp-server\" target=\"_blank\" rel=\"noopener noreferrer\">PowerMetrics MCP\u003C/a> launched in 2026 as a bridge giving AI tools access to the full metrics catalog and the relationships behind it, so the assistant queries the same governed logic as the dashboards.\u003C/p>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> Thin. On PowerMetrics Launch, anomaly detection and forecasting sit in a paid Advanced Analyses add-on rather than the base plan, and Klips doesn't offer them.\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> PowerMetrics is built for data exploration rather than report writing. Explorer is a good free-form analysis space, but there's no summary writer, so client narratives stay yours. You could technically ask Claude or ChatGPT to write summaries but there is no way to add them into your Klipfolio dashboards.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> With Klips, you can build dashboards for clients or portfolio views but they are more suitable for companies, and Klipfolio itself agrees. There are no “at-scale” features like Whatagraph’s linked reports nor templateable dashboards, which make it difficult to scale.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea0e87452432e13387549224bcbd29477\">Certified metric catalogue with a knowledge graph\u003C/li>\u003Cli data-list-item-id=\"ee7891f237f322a9a6885c6588454e0bb\">Natural language data exploration in PowerMetrics\u003C/li>\u003Cli data-list-item-id=\"e856a193cfdfd8d8a702e9ab507b0d57d\">MCP access to the metrics catalog\u003C/li>\u003Cli data-list-item-id=\"eedf9de0f2cb237966089e871606e871e\">130+ native data connectors on Klips\u003C/li>\u003Cli data-list-item-id=\"e661b6ca3c530ea8a400d058a2384d1e8\">Unlimited users on all business tiers\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“What I really like about Klipfolio is that it’s super easy to pick up, connects smoothly with lots of data sources, the dashboards get used all the time (daily or a few times a week), and if something breaks or you need help, the support, docs, and community jump in fast basically, you almost never feel stuck.” \u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-11750230\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“The learning curve shows up once a dashboard starts combining multiple sources, working with arrays, using more complex formulas, and keeping filters consistent across every component.” \u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-13167850\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“It doesn't have as many chart options like Power bi or Data Studio. It's good only for light data analysis.” \u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-10718841\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Klipfolio has quite a siloed pricing system. Here are the prices for Klips—the dashboards side of Klipfolio.\u003C/p>\u003Cp>Business plans, billed annually:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ecf8dadca3ccde67ec663924b93c9405b\">Base at $120/month for 3 dashboards\u003C/li>\u003Cli data-list-item-id=\"ec8264b4d07bec76762b01cf81dc67cdc\">Grow at $190 for 10\u003C/li>\u003Cli data-list-item-id=\"ec5299170a3426bd25f8da15d91498eca\">Team at $310 for 20\u003C/li>\u003Cli data-list-item-id=\"ed9e245af15756d1606244887eae023d9\">Team+ at $600 for 40\u003C/li>\u003C/ul>\u003Cp>Agency track:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eecc22f9ff6d1ca87fff64b3122e16209\">Starter $160\u003C/li>\u003Cli data-list-item-id=\"ed93b003587deaaa8eafb664b982f7e3e\">Lite $240\u003C/li>\u003Cli data-list-item-id=\"eaeae031c381f38c156dcce652e660f2c\">Pro $440\u003C/li>\u003Cli data-list-item-id=\"e380b914e4fae205de9b3169d50a9301a\">Premier $900, with the White-Label Bundle included on Pro and above.\u003C/li>\u003C/ul>\u003Cp>Add-ons stack: extra dashboards at $8/month each, near-real-time refresh at $139, the White-Label Bundle at $299, and SSO at $49 on lower tiers.\u003C/p>\u003Cp>PowerMetrics is priced separately (billed annually):\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e17f5446bab30ffbdf9c1378c5534cd81\">Launch: $24/user/month starts at 2 users,. 50 metrics, 4 hour data refresh rate\u003C/li>\u003Cli data-list-item-id=\"ecd935815d9b643e75ae5d12ac525c028\">Professional: $35/user/month starts at 3 users, 200 metrics, and 1 hour data refresh rate\u003C/li>\u003Cli data-list-item-id=\"ec2105cd71ebc90409a779be0352c09e3\">Custom\u003C/li>\u003C/ul>\u003Cp>There are multiple add-ons available as well:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ed31247a36573fe2d43ab0685ca6c973e\">Data warehouse integration: $180/month billed annually\u003C/li>\u003Cli data-list-item-id=\"e7706cdc8d6d6245306e0660f184affbb\">Semantic layer integration: $180/month billed annually\u003C/li>\u003Cli data-list-item-id=\"ec5b5e3eb3316e44677fa7e1982805950\">Advanced analyses: $45/month billed annually\u003C/li>\u003Cli data-list-item-id=\"ec30f861288ecfd2826668db17896d8d0\">Custom domain: $99/month billed annually\u003C/li>\u003Cli data-list-item-id=\"e2fa76e613ad6139c0b46d5d8c5d032bf\">15-minute data refresh: $180/month billed annually\u003C/li>\u003C/ul>\u003Cp>\u003Ci>\u003Cstrong>Note: All of these add-ons and features for both Klips and PowerMetrics are available out-of-the-box in Whatagraph’s pricing (with a 30-minute data refresh rate), so you get one invoice, not a dozen.\u003C/strong>\u003C/i>\u003C/p>\u003Ch3>6. Funnel\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> ETL and data ingestion platform\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Teams building a marketing data warehouse, or feeding a BI tool they already own and like.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/funnel_hero_e260148ab4.png\" alt=\"funnel-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Funnel collects your marketing data, cleans it up, and delivers it somewhere else. That's the job, and it does it as well as anyone.\u003C/p>\u003Cp>What it doesn't do is show the data to your client. Funnel is a pipe, and it's upfront about that. You buy it alongside Power BI, Tableau, a warehouse, or a reporting tool, not instead of one.\u003C/p>\u003Cp>We tested Funnel out recently and here’s our verdict.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> Funnel has a strong governed data layer and the transformation rules are more powerful than most tools here. You get platform-level rules rather than per-integration ones, value replacement on the fly, nested conditions, and both pre-blend and post-blend filtering.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Funnel_semantic_layer_99df315fd6.webp\" alt=\"Funnel semantic layer.webp\" width=\"2000\" height=\"1422\">\u003C/p>\u003Cp>However, building it is heavily technical and very engineering intensive. It’s perfect for data engineers who are already familiar with schemas but not for marketers.\u003C/p>\u003Cp>A \"data source\" in Funnel isn't an account or a property. It's one stored table, and you decide upfront exactly which dimensions, which metrics, and which time window go into it. Want new users broken down by hostname, page path, and page title? That's one data source. Want the same property by campaign and medium instead? That's the second one. A single GA4 property can turn into dozens of stored tables.\u003C/p>\u003Cp>The interface compounds it. Even with a data background, we got lost inside \u003Ca href=\"https://help.funnel.io/en/articles/12688586-getting-started-with-the-data-explorer\" target=\"_blank\" rel=\"noopener noreferrer\">Funnel’s Data Explorer\u003C/a> trying to work out why a chart wasn't loading. It works once you learn it, but learning it properly takes months.\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Funnel scores 4.5 across \u003Ca href=\"https://www.g2.com/products/funnel/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">165 G2 reviews\u003C/a>, where extensive integrations and connector breadth are the most-praised themes. One reviewer who used to maintain their own API connections said they had to reconfigure or reconnect them several times a year, and Funnel took that job off them completely. Funnel has an entire development team working on the Facebook connector alone.\u003C/p>\u003Cp>There are caveats, however. Reviewers say connections still need babysitting, with one noting it takes real time to keep every source validated and stable.\u003C/p>\u003Cp>Others like \u003Ca href=\"https://www.linkedin.com/in/lindavbaal/\" target=\"_blank\" rel=\"noopener noreferrer\">Linda van Baal\u003C/a> from YourFellow agency faced slow load times and constant rate limits where a dashboard would take 15 minutes or more to load. She said:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Whenever we wanted to see the data in one of the dashboards, we had to wait for at least 15 minutes. A lot of my colleagues were frustrated.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>This meant the team couldn't check campaign performance, spot issues, or answer client questions without significant delays. (\u003Ca href=\"https://whatagraph.com/case-studies/yourfellow\">See how they solved this here.\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>3. Scope of AI features.\u003C/strong> Narrow, and worth being precise about what it actually is. Funnel's AI is chat with your data. You can add instructions, skills, and documents as context, and then ask questions. It isn't agentic, and there are no agents doing work on a schedule or a trigger.\u003C/p>\u003Cp>The MCP is available on all plans at no extra credit cost, and it points Claude, ChatGPT, or Cursor at your Data Hub. So the assistant reads cleaned, standardized data instead of raw platform APIs, which is exactly the setup that fixes the accuracy problem from earlier in this article. What you don't get is an AI report builder, a summary writer, or client-facing chat.\u003C/p>\u003Cp>\u003Cstrong>4. Anomaly detection.\u003C/strong> Funnel watches your pipeline, not your campaigns. It'll tell you a source stopped syncing. It won't tell you a client's cost per lead doubled on Tuesday, and nothing here is monitoring accounts on your behalf.\u003C/p>\u003Cp>\u003Cstrong>5. Narrative quality.\u003C/strong> There's no summary writer, so this criterion is largely moot. Funnel has started shipping dashboards, but they're deliberately basic: simple charts, KPI tiles, and tables, with limited customization and templates that all look much the same. Think Looker Studio without the ceiling.\u003C/p>\u003Cp>\u003Cstrong>6. Scale across clients or locations.\u003C/strong> Two things work against agencies here. Portals let you share a space with a client, add some branding, and invite users. But your clients have to create Funnel accounts to get in, and there's no custom domain, so it isn't the white-labeled experience an agency client expects.\u003C/p>\u003Cp>Then there's the credit model. Because every stored table costs points, scaling means more tables, and more tables means more points. Add a client who needs three extra breakdowns and you've paid for three data sources, not one. Reviewers describe pausing unused sources to stay inside their allowance, which is exactly the kind of admin work you were trying to escape.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"efd3095d0d1ecf348da76221ae088be19\">Up to 590 data connectors on higher tiers\u003C/li>\u003Cli data-list-item-id=\"e8a2a36dac40d4ddb7bb49c94411febef\">Data Hub normalization and currency conversion\u003C/li>\u003Cli data-list-item-id=\"ea5b9c3b21c5dc54573be9441616441ab\">MCP on every plan at no extra credit cost\u003C/li>\u003Cli data-list-item-id=\"e755f41fc92ca380f38601a0948666e2d\">26+ export destinations including BigQuery and Snowflake\u003C/li>\u003Cli data-list-item-id=\"e5acff0e0aaecc81180d3c67f8ca2152c\">Native dashboards for internal use\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“The free plan provides integration with nearly all major social media platforms and paid channels, including Facebook, Instagram, YouTube, and Google Ads.” \u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-11977140\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“Easy to use and organize datas. The possibility to do custom views is great if you need to duplicate / manage / standardize your workflow.” \u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-11530231\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a> (note: this review is from a Head of Programmatic persona)\u003C/p>\u003Cp>“At the core, they are just an ETL tool, so you can’t do much beyond that. They charge fees even for basic connectors like Power BI. Unfortunately, the software is not very scalable when connecting to different platforms.” \u003Ca href=\"https://www.g2.com/products/funnel/reviews/funnel-review-11583278\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Starter is $200/month and Business $800/month, with Enterprise custom. The headline is only part of it. Everything runs on Flexpoints, and every plan starts at a 400-point minimum, with connectors at 50 points, platform accounts at 5 each, dashboards at 150 each, visualization destinations at 150, and warehouse destinations at 300. Warehouse export is a Business-tier capability.\u003C/p>\u003Cp>Two more things to plan for: the free plan was removed in December 2025, and cancellation requires 30 days' notice. Pricing has moved three times in 2026, so check the live page. More in our \u003Ca href=\"https://whatagraph.com/reviews/funnel-io\">Funnel review\u003C/a> piece.\u003C/p>\u003Ch3>7. Improvado\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> ETL and data ingestion platform, enterprise end\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Enterprise marketing teams and large agencies with data ops capacity and high ad spend under management.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/improvado_hero_ee02b02b9c.png\" alt=\"improvado-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Improvado sits at the enterprise end of the ingestion category and has moved fastest of anyone here on agentic features. In 2026 it's less a pipeline with a dashboard attached and more an agent that owns the pipeline.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> Improvado covers 500+ connectors and 46,000+ unified metrics, so most of the mapping work between platforms is already done before you start.\u003C/p>\u003Cp>The 2026 addition worth caring about is taxonomy. If your Google campaigns are named one way and your Meta campaigns another, the agent finds the right taxonomy table, tells you which dimensions to standardize, and sets up the join itself. Fixing campaign naming is the most tedious recurring job in paid media, and handing it to an agent is a genuinely good use of one.\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Improvado holds 4.4 out of 5 across \u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">80 G2 reviews\u003C/a>. That's the thinnest review base on this list, so treat the themes as directional rather than settled.\u003C/p>\u003Cp>The theme that does repeat is that they build connectors to order. Reviewers describe Improvado creating new API connections when a platform wasn't supported, offering development credits to fund it, and turning around a feasibility answer in a week or two.\u003C/p>\u003Cp>One reviewer managing hundreds of ad accounts credits bulk pipeline creation from templates, which is the difference between a week of setup and an afternoon. This is where Improvado separates from Funnel, which maintains its connectors superbly and won't build you a new one.\u003C/p>\u003Cp>The recurring complaint is visibility rather than uptime. Reviewers report inconsistent data delivery depending on the settings chosen, and more than one asks for better status reporting on extractions: a way to see when a pipeline last ran, by source and by account. Improvado has since shipped transformation statuses in response.\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> The broadest MCP implementation on this list. Connect any MCP-compatible client to Improvado through one connection and get 500+ connectors, 46,000+ unified metrics, and 84 tools, using OAuth with existing credentials, in under five minutes.\u003C/p>\u003Cp>It writes as well as reads, which is the answer to \"which AI reporting tools let an assistant actually create or edit a report\": skill commands to get, patch, add and validate widgets, plus copy dashboard, give the agent atomic operations.\u003C/p>\u003Cp>Their AI product lead also makes the point this whole article rests on: MCP doesn't remove the need for a governed data layer, it makes governance more important, because agents expose every naming gap and metric-definition conflict faster.\u003C/p>\u003Cp>\u003Cstrong>3. Anomaly detection.\u003C/strong> Agent-driven and fast. The agent detects budget pacing anomalies within 30 seconds and surfaces attribution discrepancies with root-cause analysis, for example when platform-reported conversions diverge from CRM closed-won data. One honest limit: it needs at least 30 days of history across connected sources to generate accurate benchmarks.\u003C/p>\u003Cp>\u003Cstrong>4. Narrative quality.\u003C/strong> The agent explains and diagnoses well, and AI Dashboards are pushing Improvado toward covering the visualization layer too. Client-facing branded marketing reports usually still land in a BI tool you bring yourself.\u003C/p>\u003Cp>\u003Cstrong>5. Scale across clients or locations.\u003C/strong> Scalability is the pitch, and it's priced and implemented like enterprise software. Expect a scoped rollout rather than a trial you start on a Tuesday.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e4ff84c0944b3e99b222f7d58ee9ff27b\">500+ connectors and 46,000+ unified metrics\u003C/li>\u003Cli data-list-item-id=\"e0bba9c175d647944b649fb4daa57c111\">MCP with 84 tools, read and write\u003C/li>\u003Cli data-list-item-id=\"eded0bbbc29fa8ecf86d6784101649ca7\">Agent-built taxonomy and naming conventions\u003C/li>\u003Cli data-list-item-id=\"eb2b0b02c9eb8eb3674ee64a6ee3515c8\">Pacing anomaly detection in near real time\u003C/li>\u003Cli data-list-item-id=\"e00e0644723732d83d6352483ef9c78a3\">AI Dashboards for in-platform data visualization\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“We mostly used the Extract & Load features, and they were super easy to set up new data connections and monitor the quality. Getting onboarded was very easy, and also the on-going set up of new connections.” \u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11028625\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“The tool is only as good as your data if you have bad data then the reports won't be helpful. There is a heavy technology lift to get this tool going.” \u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11031362\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“It requires technical experience. I wouldn't say this is a tool marketers or beginners can use. You'll need a developer depending on what you are looking to do.” \u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11028164\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>No public pricing. Third-party estimates circulate and they are estimates, not published rates, so treat them accordingly. Evaluation starts with a scoped conversation about connector count, data volume, and implementation timeline.\u003C/p>\u003Ch3>8. AgencyAnalytics\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> Simple reporting tool\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Agencies under roughly 30 clients running mostly Google Ads, Meta, and SEO work.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/agencyanalytics_hero_b825ebcc8b.png\" alt=\"agencyanalytics-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>AgencyAnalytics is the most straightforward platform on this list, and in 2026 it has the cleanest packaging of anyone here. In May 2026 it collapsed its tier ladder into two options, Core and Enterprise, removing the feature gating that defined the previous structure.\u003C/p>\u003Cp>We ran a trial recently for AgencyAnalytics and here’s some juicy tea.\u003C/p>\u003Cp>\u003Cstrong>1. Governed semantic layer underneath the AI.\u003C/strong> The weakest of all other tools here, and it's structural rather than a missing feature.\u003C/p>\u003Cp>Custom metrics and dimensions do exist, and they work fine. You name the metric, pick whether it's currency, a percentage, or a decimal, write the formula, and set whether an increase counts as good or bad.\u003C/p>\u003Cp>The catch is where that definition lives. Data is organized client by client, so blended ROAS gets built inside each client's setup rather than defined once and inherited everywhere. Twenty clients means building it twenty times, and keeping twenty copies in sync. Views, added in May 2026, generates AI cross-channel tables inside a report, which is per report rather than per agency.\u003C/p>\u003Cp>We also couldn't find warehouse transfer or a stored data layer. Reports appear to query sources directly, which is fine for a client running three integrations and starts showing up as loading time for a client running thirty.\u003C/p>\u003Cp>Core includes all 85+ integrations, with up to 10 accounts per client where the platform supports it.\u003C/p>\u003Cp>\u003Cstrong>2.\u003C/strong> \u003Cstrong>Connector reliability.\u003C/strong> This is the most split criterion in the article. AgencyAnalytics holds the highest rating on this list, \u003Ca href=\"https://www.g2.com/products/agencyanalytics/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">4.7 across 459 G2 reviews\u003C/a>, and integration breadth is one of the most-praised things about it, with 35 reviewers calling out how well the integrations work and how little setup they need.\u003C/p>\u003Cp>Interestingly, integration problems are also the single most common complaint. They show up in 25 reviews, with connection issues in 10 more and connectivity problems in another 7. One agency lead puts it bluntly: \"The integrations drop out all the time.\"\u003C/p>\u003Cp>Others describe duplicate data and widgets that don't match the numbers in the native platform, which turns into explaining to a client why your Google Ads figure and theirs disagree.\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> Better packaged than most. The published Core plan includes AI insights and analysis, goals, alerts and anomaly detection, benchmarks and forecasting, API access, white-label branding, custom domain and email, unlimited staff and client users, and MCP access for ChatGPT and Claude. No AI upsell tier at all, which is worth saying plainly given how much of this list gates AI behind a higher plan.\u003C/p>\u003Cp>You can connect Claude Desktop or ChatGPT to your workspace, query conversationally, and have the AI draft monthly report narratives.\u003C/p>\u003Cp>\u003Cstrong>4. Anomaly detection.\u003C/strong> Included, and practical. AgencyAnalytics' \u003Ca href=\"https://agencyanalytics.com/features/anomaly-detection\" target=\"_blank\" rel=\"noopener noreferrer\">anomaly detection\u003C/a> annotates your charts wherever a metric deviates from its expected trend, and you toggle it on inside a dashboard. So it's something you see when you look, not something that taps you on the shoulder.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\" data-sourcepos=\"607:1-607:313;51303-51615\">The push side is a separate feature. Metric Alerts fires when a metric crosses a threshold you set, which means you define what wrong looks like in advance rather than letting the system learn it.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Agencyanalytics_anomaly_detection_df7f33603e.avif\" alt=\"Agencyanalytics anomaly detection.avif\" width=\"null\" height=\"null\">\u003C/p>\u003Cp>\u003Cstrong>5. Narrative quality.\u003C/strong> Decent and improving. Scorecards roll multiple goals into one client-facing performance card that replaces the executive summary slide most agencies were copy-pasting each month, and annotations attach context to specific data points. These are working client reports, not infographics.\u003C/p>\u003Cp>\u003Cstrong>6. Scale across clients or locations.\u003C/strong> The per-client model is the whole story. It's predictable and it compounds: at $20 per client per month, 20 clients is $400/month and 50 clients is $1,000/month, with everything included.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ee17e5ee4b4dfb003f63c507d52098470\">Every feature on one plan, no AI tier\u003C/li>\u003Cli data-list-item-id=\"e39cc75f8978ca64d2d575a2babf82527\">Anomaly detection on traffic, conversions, and spend\u003C/li>\u003Cli data-list-item-id=\"eff7a28f03777aa035db6545826dac144\">MCP access for Claude and ChatGPT\u003C/li>\u003Cli data-list-item-id=\"e78e0c60fca00a350751a4eaba671730f\">White-label plus custom domain and email\u003C/li>\u003Cli data-list-item-id=\"ec2139a56d0ce17b75bfc05e42610272a\">Unlimited automated reporting and report templates per client\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“I like that AgencyAnalytics lets me customize every report and widget. It pulls in a custom dashboard with all the integrations I need from multiple platforms.” \u003Ca href=\"https://www.g2.com/products/agencyanalytics/reviews/agencyanalytics-review-13211580\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“I also love the wide range of SEO integrations. Having data from tools like Google Search Console and other SEO platforms all in one place makes it simple to understand organic performance without jumping between multiple dashboards. The reports are clean, visual, and easy for both marketers and clients to understand.” \u003Ca href=\"https://www.g2.com/products/agencyanalytics/reviews/agencyanalytics-review-13032470\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“I wish there was a way to combine or consolidate data from multiple data sources into a single page--for example: a summary of KPIs across key channels on a single page (pulling data direct from respective sources and not from analytics). To my knowledge, only one data source can be linked per page. I also wish there was functionality that would allow you to group campaigns by theme or tactic and create charts or tables that display that data by theme or tactic.” \u003Ca href=\"https://www.g2.com/products/agencyanalytics/reviews/agencyanalytics-review-12950396\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Core is $20 per client per month billed annually, or $25 billed monthly, with unlimited reports, dashboards, and data sources per client, and Enterprise available for agencies managing 25+ clients with volume discounts, database connectors, and priority support.\u003C/p>\u003Cp>Rank Tracker is a separate $41.67/month per 500 keywords when billed annually.\u003C/p>\u003Cp>There's a 14-day trial with no credit card. Side-by-side detail on our \u003Ca href=\"https://whatagraph.com/blog/articles/agencyanalytics-alternatives-and-competitors\">AgencyAnalytics alternatives\u003C/a> page.\u003C/p>\u003Ch3>9. Databox\u003C/h3>\u003Cp>\u003Cstrong>Category:\u003C/strong> All-in-one platform, dashboard-first\u003C/p>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Teams that want the lowest paid entry point and can work within monthly AI credit limits.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/databox_hero_e0cf4ccf38.png\" alt=\"databox-hero.png\" width=\"2400\" height=\"1500\">\u003C/p>\u003Cp>Databox is metric-first rather than report-first. You assemble live dashboards from a library of pre-built metrics and report templates, then layer goals, forecasting, and AI analysis on top. It runs a separate agency track alongside its business plans, which matters more than it sounds.\u003C/p>\u003Cp>\u003Cstrong>1. Governed data and connector reliability.\u003C/strong> Middle of the pack, and tier-dependent. Datasets, where you prepare and model your own data, arrives at Growth. Database connections to BigQuery, MySQL, PostgreSQL, Snowflake, and Azure SQL are also Growth and above. Below that you work with pre-built metrics from Google Analytics, ad platforms, and CRMs as they come.\u003C/p>\u003Cp>\u003Cstrong>2. Connector reliability.\u003C/strong> Databox connects to 130+ tools and sits at 4.4 across \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">194 G2 reviews\u003C/a>, with seamless integrations among the most-praised themes. One 2026 reviewer flags something no other platform here offers: a single view that alerts you when connections break, so you fix every broken source in one pass instead of discovering them client by client. For an agency sending reports on the 1st, that's the right feature to have built.\u003C/p>\u003Cp>The complaints cluster in two places. Coverage gaps come up repeatedly, with reviewers naming specific tools they needed and didn't get. And older reviews describe sources quietly dropping their connection, sometimes losing historical data when it happened.\u003C/p>\u003Cp>\u003Cstrong>3. Comprehensive AI features.\u003C/strong> Good capability, metered. \u003Ca href=\"https://nextlevellearninghub.com/databox-ai-analyst-genie/\" target=\"_blank\" rel=\"noopener noreferrer\">AI Analyst\u003C/a>, previously called Genie, builds metrics, dashboards, and datasets on request, analyzes trends, compares time periods, identifies anomalies, and generates AI performance summaries, and the MCP server connects Databox to ChatGPT or Claude to access trusted metrics and trigger actions.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1510/1081;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/databox_ai_features_140658664d.png\" alt=\"databox ai features.png\" width=\"1510\" height=\"1081\">\u003C/figure>\u003Cp>The mechanic to understand: the AI analyst and the MCP server share one monthly credit pool, 500 credits on Agency Starter, 1,500 on Pro, 4,000 on Growth, and 10,000 on Premium, and when credits run out the AI pauses until the next month with no overage on your invoice. Predictable bill, capped usage.\u003C/p>\u003Cp>\u003Cstrong>4. Anomaly detection.\u003C/strong> Present, and gated. Anomaly detection sits on the Growth plan alongside datasets and forecasting, with alerts pushed to Slack.\u003C/p>\u003Cp>\u003Cstrong>5. Narrative quality.\u003C/strong> Competent for internal business reports. AI performance summaries and forecast modeling require Growth or above. Being straight about it: the client-facing explanation is still the agency's job here, as it is with most of this list.\u003C/p>\u003Cp>\u003Cstrong>6. Scale across clients or locations.\u003C/strong> The agency track is the reason to look. It mirrors business pricing but charges $2.40 per additional data source per month versus $5.60 on the business track, which compounds fast across a roster. Sub-accounts cover multi-location structures. Watch the add-on stack, since white-labelling is priced separately.\u003C/p>\u003Cp>Templates are where it gets qualified, and the detail matters if you run a lot of clients. You can edit a template and push that change out to all of them, but it doesn't happen on its own. That same manager's top feature request is for template edits to apply to existing clients automatically.\u003C/p>\u003Cp>Across 40 clients, that's a step you repeat every time you improve the template. Separately, reviewers on lower tiers hit caps on how many databoards and visuals they can build.\u003C/p>\u003Cp>Watch the add-ons too: white-labelling is priced on its own.\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eba6a99bb9b266ad2519d6e84032460c7\">Separate agency track with cheaper source overages\u003C/li>\u003Cli data-list-item-id=\"e4137e71bef5e943b4a2f9b03235f9237\">AI Analyst that builds metrics and dashboards on request\u003C/li>\u003Cli data-list-item-id=\"e4b64f2b287626be398516de4fec5c75d\">MCP server that can trigger actions, not just read\u003C/li>\u003Cli data-list-item-id=\"ee3f726762343bcba433676e465e61ca5\">Hundreds of pre-built metrics and report templates\u003C/li>\u003Cli data-list-item-id=\"efd0b398e695a13cfb9c479babe952fc5\">Sub-accounts for multi-location reporting\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Customer reviews:\u003C/strong>\u003C/p>\u003Cp>“Databox has transformed how we report both internally and to clients. The AI summary feature is particularly impressive. It keeps our reports insightful and always up to date. There’s a great selection of built-in metrics, and creating custom ones is super easy.” \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-11137623\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“All data sources in one place makes it easy to access critical business metrics . No more searching for data in different platforms like your CRM, Google Analytics, or shopping cart.” \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-11583346\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>“I wish there was a way to when you change the template it applies automatically to your current clients, that would save a ton of time. There's also some integrations that are not available currently with some platforms like BrightLocal and that is something we use a lot. More integrations, AI insights, and being able to make changes a bit more faster and easier for multiple accounts.” \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews/databox-review-12676478\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>Pricing\u003C/strong>\u003C/p>\u003Cp>Agency track, billed annually: Starter at $79/month, Pro at $159, Growth at $399, and Premium at $799, with Starter, Pro, and Growth including 3 data sources and Premium including 50. Additional sources are $2.40/month each on this track.\u003C/p>\u003Cp>White-labelling is an add-on, and a 15-client agency running roughly 60 sources lands near $550/month all in on Growth. New accounts start on a 14-day Growth trial.\u003C/p>\u003Cp>Databox's free tier has moved in 2026 and sources disagree on its current status, so verify before citing it. Full agency-track math on our \u003Ca href=\"https://whatagraph.com/blog/articles/databox-alternatives-and-competitors\">Databox alternatives\u003C/a> page.\u003C/p>\u003Ch2>Which AI reporting tool is right for you?\u003C/h2>\u003Cp>✅ You run 30+ clients or locations and need metrics defined once → Whatagraph\u003C/p>\u003Cp>✅ You want agents watching accounts instead of dashboards you check → NinjaCat\u003C/p>\u003Cp>✅ You're under 30 clients on Google, Meta, and SEO → AgencyAnalytics, or Databox if budget is the binding constraint\u003C/p>\u003Cp>✅ You already own Power BI or Tableau and just need clean data in it → Funnel, or Improvado at enterprise scale\u003C/p>\u003Cp>✅ Your company runs Microsoft, or you have a data engineer spare → Power BI, or Tableau for visualization depth\u003C/p>\u003Cp>✅ You want one certified metric definition the whole business pulls from → Klipfolio PowerMetrics\u003C/p>\u003Cp>Whichever way you go, evaluate the data layer before the AI features. Every tool here has AI. Not every tool feeds it numbers you'd put in front of a client.\u003C/p>","2025-02-19T22:06:09.694Z","2026-08-14T16:11:15.594Z","2026-08-14T16:11:15.757Z","2026-08-13","iurkajpyfjd5ivuwavi7rzir",{"id":737,"name":738,"alternativeText":739,"caption":33,"width":566,"height":567,"formats":740,"hash":746,"ext":384,"mime":385,"size":747,"url":748,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":749,"updatedAt":750,"documentId":751,"publishedAt":373,"focalPoint":33},15600,"Best AI reporting otols.png","Best AI Reporting Otols - An image with \"AI\" on a pink rectangle, next to a blue logo on a white circle.",{"thumbnail":741},{"ext":384,"url":742,"hash":743,"mime":385,"name":744,"path":33,"size":745,"width":575,"height":576},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Best_AI_reporting_otols_4e25d94b61.png","thumbnail_Best_AI_reporting_otols_4e25d94b61","thumbnail_Best AI reporting otols.png",41.42,"Best_AI_reporting_otols_4e25d94b61",6384.56,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Best_AI_reporting_otols_4e25d94b61.png","2025-10-06T13:23:54.345Z","2025-10-06T13:23:59.327Z","elew1191izgqfpmd6lfvgv9b",{"id":585,"name":586,"about":587,"email":588,"createdAt":589,"updatedAt":590,"publishedAt":591,"slug":592,"linkedin_url":593,"documentId":594},{"id":115,"title":673,"slug":674,"subheading":675,"createdAt":676,"updatedAt":677,"publishedAt":678,"documentId":679},{"id":755,"title":756,"slug":757,"summary":758,"body":759,"read_time":76,"createdAt":760,"updatedAt":761,"publishedAt":762,"errors":33,"table_of_contents":34,"dateReorder":763,"documentId":764,"cover_image":765,"author":781,"article_category":782},3021,"Klaviyo MCP: connect Klaviyo to Claude and trust the answers","klaviyo-mcp","\u003Cp>A Klaviyo MCP server is a connector that lets AI tools like Claude read your Klaviyo data, and act on some of it, in plain language. \u003C/p>\u003Cp>Connecting one takes about five minutes, but getting accurate answers back from Claude is the harder piece of the puzzle.\u003C/p>\u003Cp>This article covers what the official Klaviyo MCP server does, the three types of setup and what each is good for, two ways to connect Klaviyo to Claude, and a prompt library for querying email alongside everything else you run.\u003C/p>","\u003Cp>Ask Claude what your email campaigns made last month and you'll have an answer in about four seconds. Cleanly formatted, confident, specific to the dollar.\u003C/p>\u003Cp>Then you open Klaviyo dashboard and the number is different, like \u003Ca href=\"https://www.reddit.com/r/Klaviyo/comments/1rr1kpz/claude_integration_issues/\" target=\"_blank\" rel=\"noopener noreferrer\">this marketer on r/klaviyo\u003C/a> (and all the others underneath the post):\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/klaviyo_mcp_reddit_numbers_are_all_off_bcc5c9a640.png\" alt=\"klaviyo-mcp-reddit-numbers-are-all-off.png\" width=\"1440\" height=\"564\">That’s not a Claude problem; it’s just reading your account directly.\u003C/p>\u003Cp>What you need is not just a connector for Klaivyo to Claude, but a governed semantic layer which sits between Shopify, Klaviyo, and all other channels you use to ensure data accuracy.\u003C/p>\u003Cp>With a layer like that you can set your attribution window, unify names and dimensions, create custom metrics, blend data, e.t.c. making sure that Claude is always pulling from your cleaned and defined data, rather than making things up on the fly.\u003C/p>\u003Cp>This article covers not only how you can connect Klaviyo to Claude, but also how to do it with a semantic layer so you can get back accurate answers, every time.\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>\u003Cstrong>TL;DR\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ef02d2eefb5df5cf7b23e03a00e1243c5\">A Klaviyo MCP server is a connector that lets Claude and other AI tools query your Klaviyo data, and create some things in it, in plain language.\u003C/li>\u003Cli data-list-item-id=\"e02edd4dcee19afb5535565dbce4bbe92\">Klaviyo ships an official one. It's free, it's good, and it's the right choice for campaign drafting, template work, and auditing a single account.\u003C/li>\u003Cli data-list-item-id=\"ee19b97a889871f8a1b5865f30427d3db\">There are five common reasons its numbers come back different from your Klaviyo dashboard, and none of them throw an error.\u003C/li>\u003Cli data-list-item-id=\"ebf4a9d6bad7c02fb6f7beb308353ae3d\">It also connects to one Klaviyo account at a time, and it can only see Klaviyo.\u003C/li>\u003Cli data-list-item-id=\"ebac3910087159fd5f6c19d81eea9d307\">If you need email numbers that hold still, or you need them next to Google Ads, Meta, GA4 and Shopify, connect Klaviyo through Whatagraph's MCP instead. Full walkthrough and prompt library below.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/li>\u003C/ul>\u003Ch2>What is the Klaviyo MCP server?\u003C/h2>\u003Cp>The Klaviyo MCP server is a connector that gives an AI client like Claude, ChatGPT or Cursor direct access to your Klaviyo account. You ask a question in plain language and it queries Klaviyo's APIs on your behalf: campaign data, flow performance, segments, profiles, customer data, whatever you'd normally go clicking through reports to find.\u003C/p>\u003Cp>MCP stands for Model Context Protocol. It's the open standard Anthropic published in late 2024 that lets LLMs talk to outside systems without someone building a custom integration for every pair. We covered the wider picture in our guide to \u003Ca href=\"https://whatagraph.com/blog/articles/mcp-for-marketing\">MCP for marketing\u003C/a>.\u003C/p>\u003Cp>\u003Ca href=\"https://www.linkedin.com/in/arturaslazejevas/\" target=\"_blank\" rel=\"noopener noreferrer\">Arturas Lazejevas\u003C/a>, Whatagraph's CTPO, puts it in plain terms:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Think of MCP as a door that LLMs like Claude or ChatGPT can use to access any of your systems that you connect (through the MCP).\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>However, Klaviyo MCP isn't the same thing as Klaviyo AI, the AI built into the Klaviyo platform. The MCP is about getting your Klaviyo data out, into whichever AI tool your team already works in.\u003C/p>\u003Ch2>Three types of Klaviyo MCP setups\u003C/h2>\u003Cp>Not every MCP connection is built the same though. To avoid data discrepancies, before you pick one, ask a few questions:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eaeb490151b9ce6248e7ec17168482792\">Is it reading Klaviyo's raw API output, or a modeled version of your data?\u003C/li>\u003Cli data-list-item-id=\"ea71a2c3676fa4e739a1cd454ea912047\">Can it answer a question that spans Klaviyo and your ad platforms at once?\u003C/li>\u003Cli data-list-item-id=\"ef5be4e9c925ea7fe71a39cec793354b8\">Who decides what counts as revenue, you or the model?\u003C/li>\u003Cli data-list-item-id=\"ea0b1b3f89eea22fc99a07c84dc4c5118\">Do you get the same number on Monday that you got on Friday?\u003C/li>\u003C/ul>\u003Cp>The answers depend entirely on which setup you're running. There are three in the market right now.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth> \u003C/th>\u003Cth>Single platform MCP\u003C/th>\u003Cth>Stitched connector MCPs\u003C/th>\u003Cth>MCP over a governed semantic layer (Whatagraph)\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>What it is\u003C/strong>\u003C/td>\u003Ctd>Klaviyo's official MCP server, or a community server from GitHub\u003C/td>\u003Ctd>Klaviyo's MCP plus a Shopify MCP plus a Meta MCP plus a GA4 MCP, side by side, nothing shared between them\u003C/td>\u003Ctd>A protocol over a unified data model. Klaviyo becomes a governed source sitting next to your other channels\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>What it reads\u003C/strong>\u003C/td>\u003Ctd>Klaviyo's APIs, raw or attributed depending what gets asked for\u003C/td>\u003Ctd>Each platform's raw API output\u003C/td>\u003Ctd>Modeled data: metrics defined, attribution set, currencies converted, naming normalized before anything queries it\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Who decides what \"revenue\" means\u003C/strong>\u003C/td>\u003Ctd>The model, per question\u003C/td>\u003Ctd>The model, per question, per platform\u003C/td>\u003Ctd>You, once\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Cross-channel answer\u003C/strong>\u003C/td>\u003Ctd>Not its job. Klaviyo only, by definition\u003C/td>\u003Ctd>Claude stitches it together at query time, and the math drifts\u003C/td>\u003Ctd>Pre-blended in the data model\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Same question, same answer\u003C/strong>\u003C/td>\u003Ctd>Only if you ask precisely, every time\u003C/td>\u003Ctd>No. Depends on the prompt\u003C/td>\u003Ctd>Yes. Metrics are defined once\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Multiple accounts\u003C/strong>\u003C/td>\u003Ctd>One connection, one Klaviyo account\u003C/td>\u003Ctd>One connector per platform, per account\u003C/td>\u003Ctd>Every account in one layer, scoped by client\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Remember the data discrepancies issue you saw in the intro? With a MCP over a governed data layer, these issues would be gone. As Arturas explains:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>Whatagraph doesn't query separate connectors like Facebook, Google Analytics, and Google Ads on the fly and have Claude reason about it. We unify all of that data as it comes in. The MCP is just the query layer on top.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Ch2>How to connect Klaviyo to Claude: 2 options\u003C/h2>\u003Cp>There are two routes here, and they're not competing. Most retention teams should end up running both.\u003C/p>\u003Cp>Option 1 is Klaviyo's official MCP server, which is free and genuinely well built (with a few caveats).\u003C/p>\u003Cp>Option 2 is connecting Klaviyo through Whatagraph, which is what you want if you want to see accurate, cross-channel data.\u003C/p>\u003Ch3>Option 1: connect Klaviyo to Claude with the official MCP server\u003C/h3>\u003Cp>Setup differs slightly by client, but it's the same server URL behind all of them. For a single Klaviyo account, this takes about two minutes.\u003C/p>\u003Cp>\u003Cstrong>In Claude\u003C/strong>, go to Settings, then Connectors, then Browse connectors. Klaviyo is listed. Click Connect, sign in, approve the permissions, and it binds to whichever Klaviyo account you're logged into.\u003C/p>\u003Cp>\u003Cstrong>For multiple accounts or custom settings\u003C/strong>, add it as a custom connector instead, pointing at \u003Ccode>https://mcp.klaviyo.com/mcp\u003C/code>. That needs a paid Claude plan.\u003C/p>\u003Cp>\u003Cstrong>In ChatGPT\u003C/strong>, Klaviyo is a listed app. You can also add it as a custom MCP server in developer mode.\u003C/p>\u003Cp>\u003Cstrong>In Cursor, VS Code or Claude Code\u003C/strong>, drop the same URL into the MCP client config. For Claude Code it's one line: \u003Ccode>claude mcp add --transport http klaviyo https://mcp.klaviyo.com/mcp\u003C/code>.\u003C/p>\u003Cp>\u003Cstrong>If you'd rather run it yourself\u003C/strong>, there's a local server you install with \u003Ccode>uvx\u003C/code> and point at a Klaviyo private API key. That's the developer route, and it means managing a \u003Ccode>KLAVIYO_API_KEY\u003C/code> in a config file.\u003C/p>\u003Cp>Two things catch people out. You need an Owner, Admin or Manager role in Klaviyo, so a Member or Analyst seat won't authorize it. And the connection binds to the account you were signed into when you approved it, which matters more than it sounds like it should.\u003C/p>\u003Cp>A few query parameters can be appended to the server URL, and they're useful to know about:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e6d8d9bd79b8fdd65f06171afc716b4fa\">\u003Ccode>read-only=true\u003C/code> strips out every write tool\u003C/li>\u003Cli data-list-item-id=\"e98485bbd88862c36f7630f21668ebb1c\">\u003Ccode>disable-tools-with-user-generated-content=true\u003C/code> blocks the tools that return customer-written text\u003C/li>\u003Cli data-list-item-id=\"e72726f9375096129d3f8829a68bf63b3\">\u003Ccode>core-tools-only=true\u003C/code> limits the server to the core set, which helps when the model gets overwhelmed by choice\u003C/li>\u003Cli data-list-item-id=\"e9c077302af551ccb88fcf92ed0ab400d\">\u003Ccode>toolsets=\u003C/code> narrows it to specific groups of tools\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>What it's good at\u003C/strong>\u003C/p>\u003Cp>Quite a lot, and let's be specific about it, because the limitations below aren't a reason to skip it.\u003C/p>\u003Cp>Drafting a campaign from a brief and assigning a template to it. Building, cloning and updating email templates. Creating and updating profiles, subscribing someone to a list.\u003C/p>\u003Cp>Auditing an account: which flows are live, which segments have gone stale, what a campaign's open and click rates looked like. Pulling flow performance without clicking into six reports.\u003C/p>\u003Cp>If your job is inside Klaviyo, this is the right tool and Whatagraph doesn't replace it.\u003C/p>\u003Cp>Where it runs out of road is everywhere else. Three limitations matter before you build a workflow on it.\u003C/p>\u003Cp>\u003Cstrong>Limitation 1: the numbers often don't match your Klaviyo dashboard\u003C/strong>\u003C/p>\u003Cp>Remember the Reddit thread from the intro? I read through the replies, and here are two key reasons why the numbers on Claude and your Klaviyo dashboard might not match:\u003C/p>\u003Cp>1. Claude pulled raw order events instead of the attributed revenue Klaviyo had already calculated\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/klaviyo_mcp_raw_order_events_vs_reporting_api_573dc079f4.png\" alt=\"klaviyo-mcp-raw-order-events-vs-reporting-api.png\" width=\"1440\" height=\"775\">\u003C/p>\u003Cp>2. The attribution window it assumed didn't match the account's Klaviyo settings\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1440/564;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/klaviyo_mcp_5_day_attribution_window_383a45334a.png\" alt=\"klaviyo-mcp-5-day-attribution-window.png\" width=\"1440\" height=\"564\">\u003C/figure>\u003Cp>This is why it's important to have a governed data layer that cleans and normalizes your Klaviyo data rather than pulling data from a raw API directly. \u003C/p>\u003Ch4>Limitation 2: one connection, one Klaviyo account\u003C/h4>\u003Cp>The OAuth connection binds to a single account. If you manage retention for twelve brands, Klaviyo's own agency guidance is to create a separately named custom connector for each client, keep a separate Claude project per client, and turn on only the relevant connector before each new chat.\u003C/p>\u003Cp>That works. It's also twelve connectors, twelve projects and a manual toggle you have to remember, and it means \"which of my clients had the worst unsubscribe rate last month\" isn't a question you can ask at all.\u003C/p>\u003Ch4>Limitation 3: it can only see Klaviyo\u003C/h4>\u003Cp>A Klaviyo MCP server reads Klaviyo. That's the whole design.\u003C/p>\u003Cp>The trouble is that email doesn't perform in isolation, and the questions that decide budget almost never stop at the inbox. Whether the abandoned cart flow closed the sale or the retargeting ad did. What email contributed to blended MER. Whether your list is growing because of paid acquisition or in spite of it.\u003C/p>\u003Cp>The obvious move is to run Klaviyo's MCP next to a Shopify MCP, a \u003Ca href=\"https://whatagraph.com/blog/articles/facebook-ads-mcp\">Meta Ads MCP\u003C/a> and a \u003Ca href=\"https://whatagraph.com/blog/articles/google-analytics-mcp\">GA4 MCP\u003C/a>, and let Claude put the pieces together. That's the stitched setup from the table above, and it works until it doesn't. Every platform hands over its own raw numbers with its own definitions, its own attribution windows and its own currency, and the reconciliation lands on the model.\u003C/p>\u003Cp>Laurynas Arminas, Whatagraph's Product Manager, has watched several marketing teams go down this path:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>It's easy to get something 80% done and think you're there. But then you realize how hard that remaining 20% is. Once you're working with seven different channels, seven different places pulling data from MCPs, things start getting confusing. Every time you add a client or a channel, you need to update everything, and things slip through the cracks.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>The 80% arrives in an afternoon. The last 20% is metric definitions, attribution rules, currency conversion and naming that means the same thing across accounts, and none of that gets easier by adding another MCP server.\u003C/p>\u003Ch3>Option 2: connect Klaviyo to Claude through Whatagraph's MCP\u003C/h3>\u003Cp>This is the same idea from a different starting point. Instead of Claude reaching into Klaviyo and working out what it's looking at, \u003Ca href=\"https://whatagraph.com/integrations/klaviyo\">Klaviyo\u003C/a> becomes one governed source in a data layer you've already defined, and Claude queries that.\u003C/p>\u003Cp>It answers the three limitations above in order.\u003C/p>\u003Cp>\u003Cstrong>The discrepancies stop happening.\u003C/strong> Your conversion metric is a custom metric you defined once, with your business logic inside it. Your dimensions are cleaned up so campaign and flow naming means the same thing across every account you run.\u003C/p>\u003Cp>By the time Claude asks for last month's campaign revenue, there's nothing left for it to decide. It reads the number you already defined, which is the same number in your report, which is the same number your colleague gets when they ask on Friday.\u003C/p>\u003Cp>\u003Cstrong>Custom metrics cover what Klaviyo doesn't.\u003C/strong> You're not limited to the metrics Klaviyo reports natively. If the number your business actually runs on is email revenue per send, or contribution after fees and shipping, or repeat purchase rate by flow, you build it once as a custom metric and it works everywhere: in your reports, and in every answer Claude gives you from then on.\u003C/p>\u003Cp>This also fixes something Klaviyo's MCP structurally can't. Klaviyo metrics are account-specific events, so one client's account calls it Placed Order and another's calls it something else entirely. A single-account connector has no way to reconcile that, because it never sees two accounts at once. Custom dimensions normalize it once, in the layer.\u003C/p>\u003Cp>\u003Cstrong>Every account sits in one place.\u003C/strong> Client accounts are organized into Spaces rather than separate connectors you toggle per chat. \"Which of my clients had the worst unsubscribe rate last month\" becomes a question with an answer.\u003C/p>\u003Cp>\u003Cstrong>Klaviyo sits next to everything else.\u003C/strong> \u003Ca href=\"https://whatagraph.com/blog/articles/google-ads-mcp\">Google Ads\u003C/a>, Meta Ads, GA4, Google Search Console, Shopify, all mapped to the same metrics and dimensions. Cross-channel MER, blended ROAS, email's share of total revenue, the flow-versus-retargeting question, all answerable in one conversation rather than four.\u003C/p>\u003Cp>\u003Cstrong>Claude can build the layer, not just read it.\u003C/strong> Whatagraph's MCP writes as well as reads. You can ask Claude to create a custom metric with your formula in it, build a custom dimension that normalizes naming across clients, tag sources, set a goal, convert currencies, or build a widget, a tab or a whole report.\u003C/p>\u003Cp>Sit with that difference for a second. Writing into Klaviyo changes a campaign. Writing into the governed layer changes what every future answer is built on, for everyone on your team.\u003C/p>\u003Cp>\u003Cstrong>And soon, work that happens without you asking.\u003C/strong> IQ Agents are Whatagraph's AI agents, currently in early access. Where the MCP waits for you to ask a question, agents work in the background: watching for anomalies across your channels, surfacing what changed and why, and drafting the analysis before you've opened the tab.\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/agents-waitlist\">Request early access to IQ Agents.\u003C/a>\u003C/p>\u003Ch3>Which option fits which job\u003C/h3>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>If you want to...\u003C/th>\u003Cth>Use\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Draft a campaign, build or clone a template, update profiles\u003C/td>\u003Ctd>Klaviyo's official MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Audit one account's flows and segments\u003C/td>\u003Ctd>Klaviyo's official MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Get a Klaviyo revenue number that matches your dashboard every time\u003C/td>\u003Ctd>Whatagraph MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Report on a metric Klaviyo doesn't calculate natively\u003C/td>\u003Ctd>Whatagraph MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Ask what email contributed to blended revenue\u003C/td>\u003Ctd>Whatagraph MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Compare twenty Klaviyo accounts in a single question\u003C/td>\u003Ctd>Whatagraph MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Have the layer maintained without prompting for it\u003C/td>\u003Ctd>Whatagraph IQ Agents (early access)\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Ch2>7 steps to connect Klaviyo to Claude with Whatagraph MCP\u003C/h2>\u003Cp>The connection itself is steps 4 to 6 and takes about two minutes. Step 3 is the one that decides whether the answers are any good.\u003C/p>\u003Ch3>Step 1: Connect Klaviyo as a source in Whatagraph\u003C/h3>\u003Cp>In Whatagraph, go to Connect new source, search for Klaviyo, and authenticate with a Klaviyo private API key, which you generate in your Klaviyo account settings.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1440/727;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/klaviyo_connect_source_whatagraph_9d8f8a6476.png\" alt=\"klaviyo-connect-source-whatagraph.png\" width=\"1440\" height=\"727\">\u003C/figure>\u003Cp>Historical data gets backfilled on connection, and Whatagraph Storage keeps it. As Arturas puts it:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>We also provide Whatagraph storage to make sure the data is backfilled, to make sure the data is always ready, to make sure it's stored and ready for your extensive analysis.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Ch3>Step 2: Set up your governed data layer\u003C/h3>\u003Cp>This is the semantic layer part that makes sure your data is cleaned and structured so Claude will give you accurate answers. Arturas recommends:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>My suggestion would be to really embed your business logic into Whatagraph (or any tool you’re using) first, so that Claude doesn't need to reason about it. It doesn't need to figure that stuff out every time.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>What to set up before you start querying:\u003C/p>\u003Cp>\u003Cstrong>Normalize your naming with custom dimensions.\u003C/strong> Klaviyo metrics are account-specific events, so what one client's account calls Placed Order another calls something else. Campaign naming drifts worse, and inherited accounts are the usual reason.\u003C/p>\u003Cp>We've heard this described exactly by an agency running a portfolio: their own UTM convention is consistent, but accounts they took over from other agencies use different ones, so the same channel arrives as both \"Facebook Paid\" and \"Facebook CPA\" and splits into two rows that won't join to spend. A custom dimension maps them to a single value.\u003C/p>\u003Cp>You describe the mapping in plain language and Whatagraph builds it. For example, I normalized campaign names from Shopify and Klaviyo with just one prompt with \u003Ca href=\"https://whatagraph.com/whatagraph-iq\">Whatagraph IQ\u003C/a>. Once that’s done, Claude and all your reports and dashboards will show the normalized name you specified for all similar campaigns.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/klaviyo_custom_dimension_standardize_campaign_names_03e7bb7738.png\" alt=\"klaviyo-custom-dimension-standardize-campaign-names.png\" width=\"1440\" height=\"1107\">\u003C/p>\u003Cp>\u003Cstrong>Blend the sources that need to sit in one table.\u003C/strong> Klaviyo and Shopify don't share a report type, so a blend merges them into one virtual source on a shared join key.\u003C/p>\u003Cp>For example, I built a blend joining our Klaviyo campaigns report to our Shopify sales report on date, with Revenue (Placed Order) on one side and Net sales on the other:\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1440/1151;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/klaviyo_shopify_data_blend_4f308fc5a5.png\" alt=\"klaviyo-shopify-data-blend.png\" width=\"1440\" height=\"1151\">\u003C/figure>\u003Cp>\u003Cstrong>Define any metric as a custom metric.\u003C/strong> Decide what counts as revenue or conversions for your business, build a custom metric once, and use it across all your reports and AI tools. This is also where you cover anything Klaviyo doesn't calculate natively: revenue per send, contribution after fees and shipping, email's share of blended revenue.\u003C/p>\u003Cp>\u003Cstrong>Check currency settings.\u003C/strong> Whatagraph detects each source's original currency automatically. But you can also set custom currency at the source level so you don’t have to do it manually each time.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2400/3179;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Set_currency_Klaviyo_MCP_5fbfecc429.png\" alt=\"Set currency - Klaviyo MCP.png\" width=\"2400\" height=\"3179\">\u003C/figure>\u003Cp>\u003Cstrong>Organize by Space and tag your sources.\u003C/strong> One Space per client keeps access scoped and makes \"compare all my ecommerce clients\" a question with an answer.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2400/3179;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Assign_tags_Klaviyo_MCP_6422399fb4.png\" alt=\"Assign tags - Klaviyo MCP.png\" width=\"2400\" height=\"3179\">\u003C/figure>\u003Ch3>Step 3: Add the Whatagraph MCP connector in Claude\u003C/h3>\u003Cp>In Claude, go to Settings, then Connectors, then Add custom connector. Name it Whatagraph and use \u003Ccode>https://mcp.whatagraph.com/mcp\u003C/code> as the remote MCP server URL.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2358;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Klaviyo_MCP_902071d858.png\" alt=\"Step 2 of how to connect LinkedIn to Claude - Klaviyo MCP.png\" width=\"3600\" height=\"2358\">\u003C/figure>\u003Ch3>Step 4: Authorize the connection\u003C/h3>\u003Cp>Click Connect, sign in, and pick the team you want Claude to reach. No API keys, no config file, no private key sitting in plain text.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2358;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Klaviyo_MCP_f2ac430def.png\" alt=\"Step 3 of how to connect LinkedIn to Claude - Klaviyo MCP.png\" width=\"3600\" height=\"2358\">\u003C/figure>\u003Ch3>Step 5: Set your permissions, carefully\u003C/h3>\u003Cp>You'll see a list of tool permissions. For read tools, switching them to \"Always allow\" saves you approving every single data pull, which gets old fast.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1998;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Klaviyo_MCP_bab9a0e7fe.png\" alt=\"Step 4 of how to connect LinkedIn to Claude - Klaviyo MCP.png\" width=\"3600\" height=\"1998\">\u003C/figure>\u003Cp>For write and delete, slow down. Arturas again:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>I wouldn't right away click always allow for the write functions. You can always leave it as ask for approval, until you're absolutely confident that you can trust it, and you're confident that it actually does the work it's supposed to do for your organization and for your specific context.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>His recommendation: leave write tools on approval, and keep the delete tools blocked entirely until you actually need to clean something up.\u003C/p>\u003Ch3>Step 6: Test it\u003C/h3>\u003Cp>Ask Claude what it can see: \"What do you have access to in my Whatagraph account?\" You should get your connected sources, Spaces and account details back.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1998;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Klaviyo_MCP_c5d2852bd7.png\" alt=\"Step 5 of how to connect LinkedIn to Claude - Klaviyo MCP.png\" width=\"3600\" height=\"1998\">\u003C/figure>\u003Cp>Then run the test that actually matters for this article. Ask for last month's Klaviyo campaign revenue and check it against your Klaviyo dashboard. If your layer is set up properly, those two numbers are the same number.\u003C/p>\u003Ch3>Step 7: Add your own context with Claude skills\u003C/h3>\u003Cp>Whatagraph's MCP ships with its own skills, loaded on demand, that you can use to analyze your Klaviyo data and cross-channel performance. \u003C/p>\u003Cp>Once you type in a prompt on Claude, Whatagraph MCP will automatically pull up the relevant skill on the backend to answer your query in the most accurate way possible. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/whatagraph_mcp_bundled_skills_4561ce1cf2.png\" alt=\"whatagraph-mcp-bundled-skills.png\" width=\"1440\" height=\"1111\">\u003C/p>\u003Cp>That said, Arturas still recommends creating your own skills on top of Whatagraph's with your own business logic. \u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>I especially recommend starting a chat with Claude, getting to the result you want to get, and then say, now Skill Creator, create a skill so we can embody this for the future chats. These are the conversions I care about, this is the source group you need to query, these are the filters for the campaigns that matter.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Ch2>Klaviyo MCP prompt library by use case\u003C/h2>\u003Cp>Every prompt below assumes Klaviyo is connected through Whatagraph, with your metrics and attribution already defined. Natural language prompts are the point of an MCP, but vague ones get vague answers, so these name the metric, the date range and the breakdown.\u003C/p>\u003Cp>The first group stays inside Klaviyo. The second is where it gets interesting.\u003C/p>\u003Ch3>Single-channel: Klaviyo on its own\u003C/h3>\u003Cp>\u003Cstrong>Campaign and flow performance\u003C/strong>\u003C/p>\u003Cp>\"Show me every campaign sent in the last 30 days with open rate, click rate and revenue. Sort by revenue, highest first.\"\u003C/p>\u003Cp>\"Compare my welcome flow and abandoned cart flow over the last quarter. Revenue, conversion rate and revenue per recipient.\"\u003C/p>\u003Cp>\"Which of my active flows haven't triggered in the last 14 days?\"\u003C/p>\u003Cp>\"Show me campaign revenue for the last 90 days, broken down by week and campaign type.\"\u003C/p>\u003Cp>\"Which flows have declining revenue month over month for the last three months? Show me the trend, not just the totals.\"\u003C/p>\u003Cp>\"What's my revenue per send this month versus the same month last year?\"\u003C/p>\u003Cp>\u003Cstrong>List health, deliverability and growth\u003C/strong>\u003C/p>\u003Cp>\"What's my unsubscribe rate by campaign over the last 60 days? Flag anything above 0.5%.\"\u003C/p>\u003Cp>\"Show me bounced and dropped email counts for the last month, broken down by campaign.\"\u003C/p>\u003Cp>\"Which segments have the highest engagement in the last 90 days, and which have gone quiet?\"\u003C/p>\u003Cp>\"How has my list grown over the last six months? Show net growth after unsubscribes.\"\u003C/p>\u003Cp>\"Compare SMS consent rate and SMS click performance against email for the same period.\"\u003C/p>\u003Cp>\u003Cstrong>Across client accounts\u003C/strong>\u003C/p>\u003Cp>Still Klaviyo data, just more than one account at a time. These are the ones a single-account connection can't do at all.\u003C/p>\u003Cp>\"Rank all of my clients by email revenue growth this quarter versus last.\"\u003C/p>\u003Cp>\"Which client had the worst unsubscribe rate last month, and what campaigns drove it?\"\u003C/p>\u003Cp>\"Show me every client where email revenue dropped more than 20% month over month, with the campaigns and flows behind the drop.\"\u003C/p>\u003Cp>\"Across all accounts, which flow type generates the most revenue per recipient?\"\u003C/p>\u003Cp>\"Which clients haven't sent a campaign in the last three weeks?\"\u003C/p>\u003Ch3>Cross-channel: Klaviyo next to everything else\u003C/h3>\u003Cp>\u003Cstrong>Email next to paid\u003C/strong>\u003C/p>\u003Cp>\"What was our blended MER last month? Break it down by channel and show me email's share of total revenue.\"\u003C/p>\u003Cp>\"Compare Google Ads spend, Meta Ads spend and email revenue for the last six months. Where did the ratio shift?\"\u003C/p>\u003Cp>\"Show me total revenue by channel for Q3 with email, paid search, paid social and organic side by side. Flag anything that moved more than 15% versus Q2.\"\u003C/p>\u003Cp>\"Our paid social spend went up 40% in July. Did email revenue move with it, or independently?\"\u003C/p>\u003Cp>\"Which channel is bringing in the customers who go on to open our emails? Compare list growth against acquisition source.\"\u003C/p>\u003Cp>\u003Cstrong>Ecommerce: Klaviyo, Shopify and GA4\u003C/strong>\u003C/p>\u003Cp>\"Pull Shopify orders, GA4 sessions and Klaviyo email revenue for last month. Show me conversion rate, average order value and email's contribution to each.\"\u003C/p>\u003Cp>\"How many of last month's repeat purchases came from customers who clicked an email in the 30 days before?\"\u003C/p>\u003Cp>\"Show me new versus returning customer revenue for the last 90 days, and which marketing automation flows touched each group.\"\u003C/p>\u003Cp>\"Our conversion rate dropped last week. Walk me through it: sessions, add-to-carts, orders, average order value, and what changed in each channel.\"\u003C/p>\u003Cp>\"Which product categories does email sell best, and how does that compare to what paid search sells?\"\u003C/p>\u003Cp>\u003Cstrong>Reconciliation and troubleshooting\u003C/strong>\u003C/p>\u003Cp>\"Klaviyo revenue and Shopify revenue disagree for last month. Break both down by day and show me where they diverge.\"\u003C/p>\u003Cp>\"Check the health of all my connected sources. Anything not syncing, anything with gaps in the last 30 days?\"\u003C/p>\u003Cp>\"Total revenue this month doesn't match what I expected. Break it down by channel and show me which one moved.\"\u003C/p>\u003Cp>\u003Cstrong>Client reporting\u003C/strong>\u003C/p>\u003Cp>\"Write an executive summary of last month's performance for this client. Cover email, paid and organic, lead with what changed, and keep it under 200 words.\"\u003C/p>\u003Cp>\"What are the three things I should tell this client about their email program this month, and what's the evidence for each?\"\u003C/p>\u003Cp>\"Build me a report tab comparing email and paid performance for the last six months, with a revenue trend chart and a channel breakdown table.\"\u003C/p>\u003Cp>If you'd rather start from something pre-built, our \u003Ca href=\"https://whatagraph.com/templates/klaviyo-dashboard\">Klaviyo dashboard template\u003C/a> covers the standard email reporting view and you can point Claude at it from there.\u003C/p>\u003Ch2>Wrapping up\u003C/h2>\u003Cp>Connecting Klaviyo to Claude is the easy part. Klaviyo's official MCP server is free, it takes two minutes, and for work you do inside Klaviyo it's the right tool.\u003C/p>\u003Cp>The harder part is getting an answer you can trust.\u003C/p>\u003Cp>This means setting up a semantic data layer with your business logic in a marketing intelligence platform like Whatagraph.\u003C/p>\u003Cp>That layer is also what powers your \u003Ca href=\"https://whatagraph.com/klaviyo-dashboard-for-marketing-reporting\">Klaviyo dashboards and marketing reports\u003C/a>, so the number Claude gives you and the number your client sees come from the same place.\u003C/p>\u003Cp>\u003Ca href=\"https://live.whatagraph.com/auth/register\">Start a free trial\u003C/a> and connect Klaviyo alongside the rest of your stack, or \u003Ca href=\"https://whatagraph.com/book-a-call\">book a demo\u003C/a> and we'll show you what a governed layer looks like for your accounts.\u003C/p>","2026-08-10T14:40:43.465Z","2026-08-10T16:09:21.587Z","2026-08-10T16:09:21.730Z","2026-08-10","jkm5yernxjqv8ez0eu637xio",{"id":766,"name":767,"alternativeText":33,"caption":33,"width":566,"height":567,"formats":768,"hash":776,"ext":384,"mime":385,"size":777,"url":778,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":779,"updatedAt":779,"documentId":780,"publishedAt":779,"focalPoint":33},17495,"Klaviyo MCP - how to connect Klaviyo to Claude.png",{"thumbnail":769},{"ext":384,"url":770,"etag":771,"hash":772,"mime":385,"name":773,"path":33,"size":774,"width":575,"height":576,"sizeInBytes":775},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Klaviyo_MCP_how_to_connect_Klaviyo_to_Claude_30c43ceb80.png","96d0179b6d2e12176b2556be53ce39b9","thumbnail_Klaviyo_MCP_how_to_connect_Klaviyo_to_Claude_30c43ceb80","thumbnail_Klaviyo MCP - how to connect Klaviyo to Claude.png",12.45,12447,"Klaviyo_MCP_how_to_connect_Klaviyo_to_Claude_30c43ceb80",750.7,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Klaviyo_MCP_how_to_connect_Klaviyo_to_Claude_30c43ceb80.png","2026-08-10T14:40:13.721Z","idozrl8q6p5ul73irrgwamiw",{"id":585,"name":586,"about":587,"email":588,"createdAt":589,"updatedAt":590,"publishedAt":591,"slug":592,"linkedin_url":593,"documentId":594},{"id":115,"title":673,"slug":674,"subheading":675,"createdAt":676,"updatedAt":677,"publishedAt":678,"documentId":679},{"id":784,"title":785,"slug":786,"summary":787,"body":788,"read_time":76,"createdAt":789,"updatedAt":790,"publishedAt":791,"errors":33,"table_of_contents":17,"dateReorder":792,"documentId":793,"cover_image":794,"author":811,"article_category":812},3019,"Google Sheets MCP: Connect Google Sheets to Claude and trust the answers","google-sheets-mcp","\u003Cp>You can connect Google Sheets to Claude or any other AI tool with a \u003Ca href=\"https://whatagraph.com/mcp\">Google Sheets MCP\u003C/a> - a connector that lets AI tools like Claude read, and usually edit, your spreadsheets in plain language, with no CSV exports and no code.\u003C/p>\u003Cp>But the harder question is - can you trust the answers Claude gives you?\u003C/p>\u003Cp>In this article we’ll show you not only how to connect Google Sheets to Claude, but also how to get answers you can actually stand behind. \u003C/p>","\u003Cp>Your lead list lives in a Google Sheet. So does the budget plan, the retainer log, along with Google Ads, Google Search Console, and GA4 data. \u003C/p>\u003Cp>You want to analyze all of this with Claude, but instead of uploading them one by one, you can use a Google Sheets MCP. \u003C/p>\u003Cp>But not all MCPs are created equal. \u003C/p>\u003Cp>Some you'll need to spend time and effort building yourself, and others you can just plug-and-go, and you'll always get accurate answers from Claude. \u003C/p>\u003Cp>This article covers \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e29ce343a22c8715cc32db0bb73b126a1\">the three types of Google Sheets MCP and what each is good for\u003C/li>\u003Cli data-list-item-id=\"e2673c9b9f069261a579c0351edcf5d1d\">two ways to connect Google Sheets to Claude\u003C/li>\u003Cli data-list-item-id=\"e54da16ca6f5c71bf88412cc6a2f52ebe\">how to set your data up so the answers hold up\u003C/li>\u003Cli data-list-item-id=\"ea784b6bf329cf3131ee23e7d401310b7\">a prompt library for querying your sheet alongside your marketing channels\u003C/li>\u003C/ul>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>\u003Cstrong>TL;DR\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ee435f6a8414e0ce6de038d82389d54a2\">A Google Sheets MCP server is a connector that lets Claude and other AI tools read, and usually edit, your spreadsheets in plain language.\u003C/li>\u003Cli data-list-item-id=\"eea156c67a9f23d784597b01321f9d5cf\">There are three types: single-platform Sheets servers, stitched connector MCPs, and an MCP sitting on a governed data layer. They solve different problems.\u003C/li>\u003Cli data-list-item-id=\"e6f1f17025a9ab56dd11009e950c4f838\">Spreadsheets are the least governed data your team owns, so the type you pick decides whether the numbers hold up.\u003C/li>\u003Cli data-list-item-id=\"e0543399cc7b392532477a9489b3bb616\">Want Claude to edit cells, add rows, or build a spreadsheet? Use a dedicated Google Sheets MCP server. Google has an official one and there are open-source alternatives.\u003C/li>\u003Cli data-list-item-id=\"e80039559c31ca326d8886ee20b54feea\">Want to ask questions across your sheet \u003Ci>and\u003C/i> your ad channels together? Connect the sheet as a source in Whatagraph and query it through Whatagraph's MCP, which reads and writes.\u003C/li>\u003Cli data-list-item-id=\"e8ef830e09c5a5cb5d611ff1be79729b3\">Either way, sort out your date column, your currencies, and your metric definitions before you connect. Full walkthrough and prompt library below.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/li>\u003C/ul>\u003Ch2>What is a Google Sheets MCP server exactly?\u003C/h2>\u003Cp>A Google Sheets MCP server is a connector that gives an AI tool like Claude direct access to your spreadsheets. You skip the CSV export and the copy-paste, and just ask questions about the live sheet in plain language.\u003C/p>\u003Cp>Most of them write as well as read. Update a cell, append a row, set a formula, insert a column, create a whole new spreadsheet.\u003C/p>\u003Cp>MCP stands for Model Context Protocol, an open standard Anthropic introduced in late 2024. It's what lets AI agents talk to outside systems without a custom integration for each one.\u003C/p>\u003Cp>\u003Ca href=\"https://www.linkedin.com/in/arturaslazejevas/\" target=\"_blank\" rel=\"noopener noreferrer\">Arturas Lazejevas\u003C/a>, Whatagraph's CTPO, puts it in plain terms:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Think of MCP as a door that LLMs like Claude or ChatGPT can use to access any of your systems that you connect (through the MCP).\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>So how is that different from the Google Sheets API, which has existed for years?\u003C/p>\u003Cp>Fluidity. Arturas again:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>An API is a robot on a factory floor programmed to build a box. It works great - until the hammer changes. Then it stops and needs reprogramming. MCP is fluid and more like a human. A bit slower, but it adapts on the fly.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>An API needs you to know the exact parameters before you ask. An MCP server describes its own tools, and the model works out which one to call from your question.\u003C/p>\u003Ch2>3 types of Google Sheets MCPs\u003C/h2>\u003Cp>Not all MCPs are created equal. Before you pick one, a few things are worth asking:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e56466f5756f7379c47702df96d3ddd73\">Is it reading raw cells, or a modeled version of your data?\u003C/li>\u003Cli data-list-item-id=\"ed227dbdc97a395044a6cc4ca75cc250f\">Can it answer a question that spans the sheet and your ad platforms at once?\u003C/li>\u003Cli data-list-item-id=\"eb551cff70dccb19104fd1d7b26d1bce8\">Who converts the currencies and decides what a conversion is, you or the model?\u003C/li>\u003Cli data-list-item-id=\"efcd68ef252061e31c14facb9e2591279\">Do you get the same number on Monday that you got on Friday?\u003C/li>\u003C/ul>\u003Cp>The answers depend entirely on which type you're using. There are three in the market right now.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth> \u003C/th>\u003Cth>Single platform Sheets MCP\u003C/th>\u003Cth>Stitched connector MCPs\u003C/th>\u003Cth>MCP over a governed data layer (Whatagraph)\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>What it is\u003C/strong>\u003C/td>\u003Ctd>A protocol wrapper over the Google Sheets API. Google's official server, or an open-source one\u003C/td>\u003Ctd>Several platform wrappers side by side, your sheet among them. Nothing shared between them\u003C/td>\u003Ctd>A protocol over a unified data model. Your sheet becomes a governed source next to your channels\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Reads raw cells or modeled data\u003C/strong>\u003C/td>\u003Ctd>Raw cells\u003C/td>\u003Ctd>Raw cells and raw API output\u003C/td>\u003Ctd>Modeled: metrics defined, currencies converted, naming normalized at ingest\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Cross-channel answer\u003C/strong>\u003C/td>\u003Ctd>Not its job. One spreadsheet at a time\u003C/td>\u003Ctd>Claude stitches at query time. The join drifts\u003C/td>\u003Ctd>Pre-blended in the data model\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Same question, same answer\u003C/strong>\u003C/td>\u003Ctd>Within that sheet, yes\u003C/td>\u003Ctd>No. Depends on the prompt\u003C/td>\u003Ctd>Yes. Metrics are defined once\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>What it can change\u003C/strong>\u003C/td>\u003Ctd>The spreadsheet itself: cells, formulas, rows, columns\u003C/td>\u003Ctd>Read-only in most cases\u003C/td>\u003Ctd>Your reporting layer: custom metrics, dimensions, tags, goals, blends, widgets, whole reports\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Where it fits\u003C/strong>\u003C/td>\u003Ctd>Spreadsheet mechanics\u003C/td>\u003Ctd>Quick answers when close enough is fine\u003C/td>\u003Ctd>The reporting itself, from the definitions up\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Whatagraph's MCP is the third one. As Arturas explains:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>Whatagraph doesn't query separate connectors like Facebook, Google Analytics, and Google Ads on the fly and have Claude reason about it. We unify all of that data as it comes in. The MCP is just the query layer on top.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Your spreadsheet gets treated the same way. It comes in, it gets mapped to metrics and dimensions, and by the time Claude asks a question the reconciliation has already happened.\u003C/p>\u003Cp>Which one you want comes down to what you're actually trying to change: the spreadsheet, or the reporting that spreadsheet feeds.\u003C/p>\u003Ch2>How to connect Google Sheets to Claude [2 options]\u003C/h2>\u003Cp>There are two routes. One points Claude at the spreadsheet. The other points Claude at a governed layer that your spreadsheet is part of.\u003C/p>\u003Ch3>Option 1: build it yourself with a Google Sheets MCP server\u003C/h3>\u003Cp>Google has an \u003Ca href=\"https://developers.google.com/workspace/sheets/api/guides/configure-mcp-server\" target=\"_blank\" rel=\"noopener noreferrer\">official Google Sheets MCP server\u003C/a>, currently in Developer Preview. It's remote, so there's nothing to host, and it ships six tools: \u003Ccode>get_values\u003C/code>, \u003Ccode>get_spreadsheet\u003C/code>, \u003Ccode>update_spreadsheet\u003C/code>, \u003Ccode>update_values\u003C/code>, \u003Ccode>update_formulas\u003C/code>, and \u003Ccode>insert_dimension\u003C/code>.\u003C/p>\u003Cp>Getting it running takes a Google Cloud project, the Sheets API and the Sheets MCP API enabled, an OAuth consent screen, four scopes added by hand, and your own OAuth 2.0 client ID and secret pasted into Claude. You'll also need a paid Claude plan for custom connectors.\u003C/p>\u003Cp>Then there's the open-source route. \u003Ccode>xing5/mcp-google-sheets\u003C/code> is the most widely used Google Sheets MCP server, running through \u003Ccode>uvx\u003C/code> with a Google service account, and it goes further than Google's: create a spreadsheet, add and delete sheets, copy a sheet, append values, format cells, set data validation, all addressed with a spreadsheet ID and A1 notation.\u003C/p>\u003Cp>Worth knowing before you install it: by default it exposes 19 tools, which the maintainer notes eats roughly 13,000 tokens of your context window before you've typed anything. There's a flag to load only the tools you need.\u003C/p>\u003Cp>Both routes work in Claude Desktop, Claude Code, Cursor, and anything else that speaks MCP.\u003C/p>\u003Cp>\u003Cstrong>If your job is spreadsheet mechanics, this is the route.\u003C/strong> Reformat a client tracker, append last week's rows, rebuild a formula column, spin up a new sheet from a pile of data. Claude is good at it and the setup is a one-time cost.\u003C/p>\u003Cp>The ceiling shows up the moment the question stops being about the spreadsheet.\u003C/p>\u003Cp>These servers hand Claude the raw data. Every time you ask something, it re-derives what your columns mean, which rows are totals, whether \"Spend\" and \"Cost\" are the same thing, and what to do with the row where someone typed \"n/a\".\u003C/p>\u003Cp>And they only see the sheet. Ask how the plan compares to what actually delivered and Claude has half the answer, because the other half is in Google Ads.\u003C/p>\u003Cp>\u003Cstrong>→ The real cost shows up in maintaining this system, not the setup. \u003C/strong>\u003C/p>\u003Cp>One Sheets server on its own is barely any maintenance. The trouble starts when it's one of several, because a cross-channel question means running a Sheets server next to a Google Ads server, a Meta server, and whatever else, then keeping all of them authorized, current, and in agreement about what a conversion is.\u003C/p>\u003Cp>Laurynas Arminas, Whatagraph's Product Manager, has watched this pattern play out with several marketing teams:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>It's easy to get something 80% done and think you're there. But then you realize how hard that remaining 20% is. Once you're working with seven different channels, seven different places pulling data from MCPs, things start getting confusing. Every time you add a client or a channel, you need to update everything - and things slip through the cracks.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>That last 20% is the part nobody scopes. Marketing platforms change their APIs three or four times a year, and TikTok alone has shipped 51 Ads API updates since 2020.\u003C/p>\u003Cp>At two clients and two channels, that's an afternoon here and there. At ten clients and five channels, it's a standing job that eats into the one you were hired to do.\u003C/p>\u003Cp>If you want to see what that actually adds up to, we built \u003Ca href=\"https://whatagraph.com/alternatives\">a calculator on our alternatives page\u003C/a> for exactly this. Set the sliders to your number of platforms and clients, and it shows how many API changes and connector authorizations a build-it-yourself stack leaves you maintaining every year.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png\" alt=\"google-sheets-mcp-maintenance-calculator.png\" width=\"1440\" height=\"953\">\u003C/p>\u003Ch3>Option 2: connect Google Sheets to Claude with Whatagraph's MCP\u003C/h3>\u003Cp>The other route treats your spreadsheet as what it usually is: one source among the ten or twelve your reporting already runs on.\u003C/p>\u003Cp>You connect the sheet in Whatagraph the same way you'd connect Google Ads or GA4, and it lands in the same governed layer, with the same metric definitions, currency conversion, and naming rules applied to it. Then you \u003Ca href=\"https://whatagraph.com/mcp\">connect Whatagraph's MCP\u003C/a> to Claude and query all of it together.\u003C/p>\u003Cp>This matters more for spreadsheets than for any other source, because of what tends to live in them.\u003C/p>\u003Cp>The margin per client. The retainer value. The agency fee that turns platform ROAS into something closer to real profitability. The conversion definition three regions each interpreted differently.\u003C/p>\u003Cp>Talk to enough performance teams and the same thing comes up: the custom metric definitions live in a spreadsheet and get rebuilt per client, instead of being defined once and reused.\u003C/p>\u003Cp>That's the data your channels can't give you, and it's exactly what a cross-channel answer needs.\u003C/p>\u003Cp>So the useful version isn't \"Claude can read my budget tab.\" It's Claude comparing the plan in your sheet against live spend across Google Ads, Meta, and LinkedIn, using your ROAS formula, in your reporting currency.\u003C/p>\u003Cp>\u003Cstrong>Whatagraph's MCP writes too.\u003C/strong> This is the part people assume they'll have to do by hand afterwards.\u003C/p>\u003Cp>Claude can create custom metrics with your own formulas, build custom dimensions that normalize inconsistent campaign naming, tag sources by client or region, set goals, convert currencies, and build widgets, tabs, and entire reports. \u003C/p>\u003Cp>You describe the definition once in plain language and it goes into the governed layer, where every report, dashboard, and future Claude answer inherits it.\u003C/p>\u003Cp>Compare that to the same instruction pointed at a raw Sheets server, where Claude will happily write a new column into your spreadsheet and nothing downstream knows it exists.\u003C/p>\u003Cp>\u003Cstrong>Even better - you no longer need to context-switch to Claude anymore.\u003C/strong>\u003C/p>\u003Cp>Whatagraph is opening early access to \u003Ca href=\"https://whatagraph.com/agents-waitlist\">IQ Agents\u003C/a>, an always-on team of agents that does this work on a schedule rather than on a prompt. It helps you:\u003C/p>\u003Cp>✅ Onboard a new client or account (with sources connected and reports created) in less than an hour.\u003C/p>\u003Cp>✅ Standardize dimensions automatically across all your channels and sources.\u003C/p>\u003Cp>✅ Build custom metrics according to your business logic.\u003C/p>\u003Cp>✅ Create overviews of your entire portfolio broken down by client, location, or whichever custom tag that makes sense to you.\u003C/p>\u003Cp>✅ Catch anomalies and fix them before your clients see them.\u003C/p>\u003Cp>And that’s not all. Whatever you’ve been doing manually so far for reporting, agents can do on your behalf.\u003C/p>\u003Cp>They're built to run on the same governed foundation, so an agent can't quietly invent its own version of a number your client already trusts. Access opens by cohort, and you can \u003Ca href=\"https://whatagraph.com/agents-waitlist\">request early access\u003C/a> to get in before public launch.\u003C/p>\u003Ch3>Which option fits which job\u003C/h3>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>If you want to...\u003C/th>\u003Cth>Use\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Reformat, append rows, or build a spreadsheet from scratch\u003C/td>\u003Ctd>A Google Sheets MCP server (Option 1)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Ask questions about one standalone sheet\u003C/td>\u003Ctd>Either. A Sheets MCP server is quicker to set up\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Compare what's in your sheet against live channel performance\u003C/td>\u003Ctd>Whatagraph MCP (Option 2)\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Get the same number on Monday and Friday, and in the client report\u003C/td>\u003Ctd>Whatagraph MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Define a metric once and have every report and AI answer use it\u003C/td>\u003Ctd>Whatagraph MCP\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Have it maintained without you prompting for it\u003C/td>\u003Ctd>IQ Agents (early access)\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Most teams end up wanting both, and they don't conflict. Keep a Sheets server for spreadsheet work, and put the reporting on a layer that was built to be queried.\u003C/p>\u003Cp>Here's how to set the second one up.\u003C/p>\u003Ch2>8 steps to connect Google Sheets to Claude with Whatagraph MCP\u003C/h2>\u003Cp>Setup takes a few minutes once your sheet is in decent shape. Most of the work is in the sheet itself, not the connection.\u003C/p>\u003Cp>Before you start, have three things ready:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"ee0e761894bbdc896ea3f002d386e3c84\">a Whatagraph account with your sources connected (\u003Ca href=\"https://live.whatagraph.com/auth/register\" target=\"_blank\" rel=\"noopener noreferrer\">start a 14-day free trial\u003C/a>)\u003C/li>\u003Cli data-list-item-id=\"e260f06016be26f70b91769d86a063c43\">a Claude account, on claude.ai or Claude Desktop\u003C/li>\u003Cli data-list-item-id=\"e38332d61559e6317905277a84fc3439b\">Owner or Full Admin access to your Claude workspace\u003C/li>\u003C/ol>\u003Cp>If you're on a team plan and the option to add a custom connector isn't there, whoever manages the account will need to do this part.\u003C/p>\u003Cp>\u003Cstrong>A trick:\u003C/strong> log into Whatagraph in the same browser you're using for Claude. It turns the authorization step into one click instead of a separate login.\u003C/p>\u003Ch3>Step 1: Get your sheet into a shape that can be read\u003C/h3>\u003Cp>First, make sure your Google Sheets is set up correctly:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ed4551ca5c82668db00aa34aa4812b88b\">\u003Cstrong>A date column, formatted \u003C/strong>\u003Ccode>\u003Cstrong>YYYY-MM-DD\u003C/strong>\u003C/code>\u003Cstrong>, in the first position.\u003C/strong> This is how the date range gets recognized. \u003Ca href=\"https://help.whatagraph.com/en/articles/5069836-google-sheets-why-my-date-range-doesn-t-seem-to-reflect-correct-google-sheets-data\">Mixed date formats across tabs\u003C/a> are the single most common reason a sheet connects fine and then shows the wrong numbers.\u003C/li>\u003Cli data-list-item-id=\"eccc8571280ebfdcb3b8884d0da1a9d97\">\u003Cstrong>At least one column of purely numeric values.\u003C/strong> That's what gets read as a metric. One stray \"n/a\" or \"TBC\" in a number column and the whole column flips to a dimension.\u003C/li>\u003Cli data-list-item-id=\"ef95a0929ba6179e8c019deed8567dce7\">\u003Cstrong>Metrics in their own columns, running across, not stacked down the page.\u003C/strong> Vertical layouts get read as dimensions.\u003C/li>\u003Cli data-list-item-id=\"ebf71b7e563a83289e7e13d145650726d\">\u003Cstrong>Percentages and currency formatted in the sheet first\u003C/strong>, using the FORMAT function, before you connect.\u003C/li>\u003C/ul>\u003Cp>You can download a sample Google Sheet template with the right formatting \u003Ca href=\"https://docs.google.com/spreadsheets/d/1x66Kge3GyCC68jgbUiqAl2_tDBDEMlaolBMzwVLHRdo/edit#gid=0\">here\u003C/a>.\u003C/p>\u003Cp>Text columns become dimensions and number columns become metrics automatically. If one gets read wrong, append \u003Ccode>wg:dimension\u003C/code> or \u003Ccode>wg:metric\u003C/code> to the column name and it'll behave.\u003C/p>\u003Ch3>Step 2: Connect Google Sheets as a source in Whatagraph\u003C/h3>\u003Cp>In the Data space, go to Sources, click Connect new source, and find \u003Ca href=\"https://whatagraph.com/integrations/google-sheets\">Google Sheets\u003C/a> in the list. You'll be sent to Google to authorize, and the new source appears when you come back.\u003C/p>\u003Cp>Connect the ad platforms, analytics, and CRM sources you want to ask about alongside it. The sheet on its own is only half the point.\u003C/p>\u003Cp>Sources refresh hourly. If you've just changed the sheet and want it now, refresh the report manually.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1440/722;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png\" alt=\"google-sheets-mcp-connect-new-source.png\" width=\"1440\" height=\"722\">\u003C/figure>\u003Ch3>Step 3: Set up your governed data layer\u003C/h3>\u003Cp>This is the step people skip and then wonder why the answers feel off. As Arturas puts it:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>My suggestion would be to really embed your business logic into Whatagraph first, so that Claude doesn't need to reason about it. It doesn't need to figure that stuff out every time.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Here's what to set up before you start querying:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e1d370096fad4e95b46caed4bd05f6c37\">\u003Cstrong>Blend the sheet with your channels.\u003C/strong> Join your Google Sheets to any platform you want, like Google Search Console, Google Ads, Hubspot, e.t.c. on shared keys like date, page, or campaign name.\u003C/li>\u003C/ul>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1440/905;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png\" alt=\"google-sheets-mcp-blend-sheet-with-channels.png\" width=\"1440\" height=\"905\">\u003C/figure>\u003Cul>\u003Cli data-list-item-id=\"ec740b35ebb6b18384cbdceb12adfa32b\">\u003Cp>\u003Cstrong>Define your custom metrics.\u003C/strong> Build any custom metric according to your business logic like contribution margin, marketing efficiency ratio, conversion rate, or a ROAS that accounts for fees. Claude will use that definition instead of platform-reported ROAS every time.\u003C/p>\u003Cp>For instance, I built a custom conversion rate metric based on my spreadsheet data that combines MQLs and clicks for May and June, and divides the two, and turns it into a percentage.\u003C/p>\u003C/li>\u003C/ul>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1440/1202;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png\" alt=\"google-sheets-mcp-custom-metric.png\" width=\"1440\" height=\"1202\">\u003C/figure>\u003Cul>\u003Cli data-list-item-id=\"efb957158dca1ab0ebfb38617ad1eabf3\">\u003Cp>\u003Cstrong>Define custom dimensions.\u003C/strong> Your sheet says one name, Google Search Console calls it another, Google Ads calls it another. You can normalize all three to one standardized name automatically using Whatagraph IQ. \u003C/p>\u003Cp>In this example, I wanted to map inconsistent \"Page\" dimension names in my Google Sheets and Google Search Console. So I just asked Whatagraph IQ to do it for me.\u003C/p>\u003C/li>\u003C/ul>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png\" alt=\"google-sheets-mcp-iq-dimension-prompt.png\" width=\"1440\" height=\"1202\">\u003C/p>\u003Cp>And here's the result, literally done in seconds:\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1440/1202;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png\" alt=\"google-sheets-mcp-iq-dimension-result.png\" width=\"1440\" height=\"1202\">\u003C/figure>\u003Cul>\u003Cli data-list-item-id=\"ecd4687065c31dd91cb2d4cd5ed509d7e\">\u003Cstrong>Check currency settings.\u003C/strong> Whatagraph detects the original currency per source. Sheets are the one source where it often can't, because a spend column is just numbers. Set it manually here so nothing gets added together that shouldn't be.\u003C/li>\u003C/ul>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2400/3179;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png\" alt=\"Set currency - Google Sheets MCP.png\" width=\"2400\" height=\"3179\">\u003C/figure>\u003Cul>\u003Cli data-list-item-id=\"eeb83e5309d792eb9d870f591865899eb\">\u003Cstrong>Organize sources into Spaces by client or location.\u003C/strong> Claude scopes queries by Space. Put the client's sheet in the same Space as the client's channels and a question about that client stops being a search across everything you own.\u003C/li>\u003C/ul>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1920;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png\" alt=\"Set up Spaces - Google Sheets MCP.png\" width=\"3600\" height=\"1920\">\u003C/figure>\u003Cul>\u003Cli data-list-item-id=\"e4d788c00f702c081da599d589b4a76b9\">\u003Cstrong>Tag your sources.\u003C/strong> Label by client, region, account manager, or tier so you can filter on those labels in Claude instead of listing sources every time.\u003C/li>\u003C/ul>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2400/3179;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png\" alt=\"Assign tags - Google Sheets MCP.png\" width=\"2400\" height=\"3179\">\u003C/figure>\u003Cp>The more of this you do upfront, the better every answer gets afterwards.\u003C/p>\u003Cp>\u003Cstrong>You don't have to build it all by hand.\u003C/strong> Once the MCP is connected, Claude can create these for you. Describe the metric in plain language, tell it which columns to use, and it writes the definition into your data layer where every report and future answer inherits it.\u003C/p>\u003Cp>And if you'd rather this maintained without prompting for it at all, \u003Ca href=\"https://whatagraph.com/agents-waitlist\">IQ Agents\u003C/a> is in early access: new sources connected and blended, new campaigns tagged into your taxonomy overnight, reports rebuilt when the month rolls over.\u003C/p>\u003Ch3>Step 4: Add the Whatagraph MCP connector in Claude\u003C/h3>\u003Cp>Open Settings in Claude and go to Connectors. Look for the option to add a custom connector, then paste in the server URL:\u003C/p>\u003Cp>\u003Ca href=\"https://mcp.whatagraph.com/mcp\">\u003Ccode>https://mcp.whatagraph.com/mcp\u003C/code>\u003C/a>\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2358;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png\" alt=\"Step 2 of how to connect LinkedIn to Claude - Google Sheets MCP.png\" width=\"3600\" height=\"2358\">\u003C/figure>\u003Cp>Using ChatGPT instead? Same URL, same steps. The only difference is you need Developer access to add custom apps.\u003C/p>\u003Ch3>Step 5: Authorize the connection\u003C/h3>\u003Cp>Claude opens a Whatagraph authorization page. If you're already logged in, you'll go straight to team selection. Pick the team you want Claude to reach and click Authorize.\u003C/p>\u003Cp>No API keys, no service account JSON, no OAuth client to create first.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2358;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png\" alt=\"Step 3 of how to connect LinkedIn to Claude - Google Sheets MCP.png\" width=\"3600\" height=\"2358\">\u003C/figure>\u003Ch3>Step 6: Set permissions to \"Always allow\"\u003C/h3>\u003Cp>You'll see the connector's tool permissions after connecting. If they're set to \"Needs approval,\" Claude asks you to authorize every single data pull, which gets old within about four questions.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1998;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png\" alt=\"Step 4 of how to connect LinkedIn to Claude - Google Sheets MCP.png\" width=\"3600\" height=\"1998\">\u003C/figure>\u003Cp>Worth keeping approval on for the write and delete tools until you trust the setup, though. Arturas's advice on that: leave it as ask for approval until you're confident it's doing the right thing for your specific context.\u003C/p>\u003Ch3>Step 7: Test it\u003C/h3>\u003Cp>Ask Claude: \"What do you have access to in my Whatagraph account?\"\u003C/p>\u003Cp>It should come back with your connected sources, including the sheet. Then try something that spans both sides, like \"compare the monthly budget in my planning sheet against actual spend in Google Ads for this month.\"\u003C/p>\u003Cp>If the numbers line up with your report, you're set.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1998;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png\" alt=\"Step 5 of how to connect LinkedIn to Claude - Google Sheets MCP.png\" width=\"3600\" height=\"1998\">\u003C/figure>\u003Ch3>Step 8: Add your own context with Claude skills\u003C/h3>\u003Cp>Whatagraph ships \u003Ca href=\"https://github.com/whatagraph/whatagraph-skills/tree/main/skills\" target=\"_blank\" rel=\"noopener noreferrer\">a set of pre-built skills\u003C/a> embedded directly in the MCP, so there's nothing to download or upload.\u003C/p>\u003Cp>As Laurynas Arminas, Whatagraph's Product Manager, explains it:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Each of Whatagraph's pre-made skills either sequences multiple tool calls in a logical order, or brings structured knowledge so you don't have to piece the picture together yourself.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>What you add on top is the context only you have. Which sheet holds the targets. Which source group belongs to which client. Which conversion actions count. Which chart type you want when you ask for a visual.\u003C/p>\u003Cp>Arturas recommends building these the practical way: run a chat until you get the answer you actually wanted, then ask Claude's Skill Creator to turn that into a skill so the next conversation starts there instead of from scratch.\u003C/p>\u003Cp>That's the difference between asking a question and having an answer waiting for you.\u003C/p>\u003Ch2>Prompts library by use case\u003C/h2>\u003Cp>Once the sheet is connected and your business logic is set up, these are the questions worth asking. They're grouped by job rather than by metric, and most of them span the sheet and your channels at once, which is the whole reason to do this.\u003C/p>\u003Ch3>Plan vs. actual and budget pacing\u003C/h3>\u003Cp>The sheet holds the plan. The platforms hold what actually happened. Nobody enjoys reconciling those by hand on the 20th of the month.\u003C/p>\u003Cp>Try these prompts:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e12cc2e84965a06a80b82719ed73a0d3c\">\"Compare the monthly budget in my planning sheet against actual spend in Google Ads and Meta for this month. Which campaigns are over or under?\"\u003C/li>\u003Cli data-list-item-id=\"e1c9862dccaf203c5729b9a5e342e49bd\">\"Based on the daily pace so far, project month-end spend per client and flag anyone who'll finish more than 10% off the planned number.\"\u003C/li>\u003Cli data-list-item-id=\"e44f197a0b5668a7200f58ab04ea1b47f\">\"Which clients are pacing ahead of the budget in my sheet, and by how much?\"\u003C/li>\u003Cli data-list-item-id=\"e207928bb9677e96a1c5cbebd367ab535\">\"Show me planned versus actual CPA by campaign for the last 30 days, and rank by the size of the gap.\"\u003C/li>\u003Cli data-list-item-id=\"e4ea3cdd8c65b63a24444fc58d3972088\">\"My pacing sheet says this campaign is off track but the platform says otherwise. Show me the daily spend both ways so I can see where they diverge.\"\u003C/li>\u003Cli data-list-item-id=\"e4d6d08c249f9f1e4f09a8c722bfe078e\">\"How much of the quarterly budget in my plan sheet is left, and what's the daily run rate needed to spend it evenly?\"\u003C/li>\u003C/ul>\u003Ch3>Targets, goals, and client health trackers\u003C/h3>\u003Cp>If your account team runs weekly reviews off a spreadsheet, this is the section that saves the most time.\u003C/p>\u003Cp>Try these prompts:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e32bb9ccc9e51c13d3923e870d394a239\">\"Using the targets in my client health sheet, which accounts are behind on their KPI this month?\"\u003C/li>\u003Cli data-list-item-id=\"e17caeb241b28d90a217f44ce1051eba1\">\"Rank every client by the gap between their target and actual conversions, worst first.\"\u003C/li>\u003Cli data-list-item-id=\"e1fe1034c7fd6768d7482b1401adb8c8b\">\"Which accounts have a red status in my tracker and what does their actual performance look like this month?\"\u003C/li>\u003Cli data-list-item-id=\"ece9e2113930edb25a3938ccdfc37694a\">\"Summarize the clients flagged as at-risk in my sheet, and pull the last 30 days of spend and conversions for each one.\"\u003C/li>\u003Cli data-list-item-id=\"e53e0d3b3e886d8025253f806165df9f9\">\"Which clients hit their target last month but are behind at the same point this month?\"\u003C/li>\u003C/ul>\u003Ch3>Offline and manually tracked data joined to paid performance\u003C/h3>\u003Cp>This is the data that lives nowhere else: trade show leads, phone sales, partner submissions, offline closes. It's usually the difference between reported ROAS and real profitability.\u003C/p>\u003Cp>Try these prompts:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e0212b404cc626ed9f2d1a8ffb6431a80\">\"Join the offline leads in my sheet to paid spend by month. What's the true cost per lead once offline conversions are included?\"\u003C/li>\u003Cli data-list-item-id=\"e5658d56a2771fbd3b69a2d4c0f17cf41\">\"Compare platform-reported conversions against the closed deals in my sales sheet by campaign. Where's the biggest gap?\"\u003C/li>\u003Cli data-list-item-id=\"e917626a2bf2f187a3311b47b705f452a\">\"Using the agency fee and client overhead columns in my sheet, calculate contribution margin by client for last quarter.\"\u003C/li>\u003Cli data-list-item-id=\"eb05181c4ac7c4823f75712821462acff\">\"What's our MER for this client, accounting for the fees in my sheet rather than platform-reported ROAS?\"\u003C/li>\u003Cli data-list-item-id=\"e76ae36c345f8c665b2115c84e8339327\">\"Which channels drove the leads that actually closed, based on my manually tracked sales log?\"\u003C/li>\u003C/ul>\u003Ch3>Cross-channel rollups where the sheet supplies the missing dimension\u003C/h3>\u003Cp>Your sheet often holds the only column that makes a rollup meaningful: client tier, region, account manager, retainer size, vertical.\u003C/p>\u003Cp>Try these prompts:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eed8f72d02e453aae5fc0e0c5a5fe87d3\">\"Group total spend and conversions by the client tier column in my sheet, across Google Ads, Meta, and LinkedIn.\"\u003C/li>\u003Cli data-list-item-id=\"e9d4c8d575762620a648109b146c30b0a\">\"Which account manager's book of business improved most month over month?\"\u003C/li>\u003Cli data-list-item-id=\"edee66bb1518ff07c1ec65f05872e8732\">\"Break down cross-channel performance by region using the region mapping in my sheet.\"\u003C/li>\u003Cli data-list-item-id=\"eb861ff03a6171d4e162a9e6835f7ffc7\">\"Compare this client's cost per conversion against the portfolio average for their vertical.\"\u003C/li>\u003Cli data-list-item-id=\"e56cc9023c5caf1d618b955113a308303\">\"Which retainer tier is generating the best return on managed spend?\"\u003C/li>\u003C/ul>\u003Ch3>Reconciliation and troubleshooting\u003C/h3>\u003Cp>Try these prompts:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e7882ced610cf47b670ca9110c0781593\">\"My sheet shows a different spend number than Google Ads for last month. Show me a day-by-day breakdown of both so I can see where they split.\"\u003C/li>\u003Cli data-list-item-id=\"e217cd58da93b2031df0cfcb9c6af908a\">\"Are there any rows in my connected sheet with missing dates or blank metric values?\"\u003C/li>\u003Cli data-list-item-id=\"e7729f2a1bbd48fcff79bec4a9e54ecd4\">\"Which of my sources are broken or stale right now?\"\u003C/li>\u003Cli data-list-item-id=\"e5ff66e7fdd99d7ce09498cd3881f54bb\">\"Is the date range on this report actually covering the full range of dates in my sheet?\"\u003C/li>\u003Cli data-list-item-id=\"ec37e27096bde8a8a93e281ac260d064d\">\"Are any filters applied to this report that would exclude part of my sheet data?\"\u003C/li>\u003C/ul>\u003Ch3>Client reporting and executive summaries\u003C/h3>\u003Cp>Ask for the write-up before the call rather than after it. This is where automated reporting stops being a scheduled PDF and starts being an answer you can act on.\u003C/p>\u003Cp>Try these prompts:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e03d21a4c96b23d92f450c46385b0d6f1\">\"Write a three paragraph performance summary for this client covering this month versus last, leading with the headline result, then the two biggest drivers, then one recommendation.\"\u003C/li>\u003Cli data-list-item-id=\"ea254b0304486df50298ea76bd792bf9b\">\"Summarize how every client in this Space performed against the targets in my sheet, in a table.\"\u003C/li>\u003Cli data-list-item-id=\"ef043d3fc1cc5bb20065f7dcdb83f7ff7\">\"Build a report tab comparing planned versus actual spend by channel, and pick a chart type that makes the gap obvious.\"\u003C/li>\u003Cli data-list-item-id=\"ea29278a514ff11fe6f4bf6ffd77e6da6\">\"Give me five bullet points on this client's performance for a call in ten minutes.\"\u003C/li>\u003Cli data-list-item-id=\"eeaf999d694a601f45f4c7100ee106873\">\"Which clients improved most week over week, and which declined?\"\u003C/li>\u003C/ul>\u003Cp>If the deliverable itself is the thing you need, branded and scheduled rather than sitting in a chat, that's what the \u003Ca href=\"https://whatagraph.com/google-sheets-reporting-tool\">Google Sheets reporting tool\u003C/a> handles, built on the same connected sheet.\u003C/p>\u003Cp>Want the same setup for your ad platforms? See the \u003Ca href=\"https://whatagraph.com/blog/articles/google-ads-mcp\" target=\"_blank\" rel=\"noopener noreferrer\">Google Ads MCP guide\u003C/a>, or the roundup of \u003Ca href=\"https://whatagraph.com/blog/articles/mcp-for-marketing\" target=\"_blank\" rel=\"noopener noreferrer\">the best MCPs for marketing\u003C/a>.\u003C/p>\u003Ch2>Conclusion\u003C/h2>\u003Cp>Connecting Google Sheets to Claude takes minutes. Getting answers you'd put in front of a client takes a bit of setup first.\u003C/p>\u003Cp>Sort out the sheet, define what your metrics actually mean, blend it with the channels it belongs next to, and the AI stops guessing at your business logic every time you ask it something.\u003C/p>\u003Cp>\u003Ca href=\"https://live.whatagraph.com/auth/register\" target=\"_blank\" rel=\"noopener noreferrer\">Start a 14-day free trial with Whatagraph\u003C/a>, connect your sheet alongside everything else you run, and see whether the numbers hold up.\u003C/p>\u003Cp>Want a walkthrough on your own data instead? \u003Ca href=\"https://whatagraph.com/book-a-call\">Book a demo with our team.\u003C/a>\u003C/p>","2026-08-07T11:06:19.128Z","2026-08-10T14:38:46.628Z","2026-08-10T14:38:46.837Z","2026-08-07","mrosmrctvtr8jzs62kew9um4",{"id":795,"name":796,"alternativeText":33,"caption":33,"width":566,"height":567,"formats":797,"hash":805,"ext":384,"mime":385,"size":806,"url":807,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":808,"updatedAt":808,"documentId":809,"publishedAt":810,"focalPoint":33},17461,"Google Sheets MCP - how to connect Google Sheets to claude.png",{"thumbnail":798},{"ext":384,"url":799,"etag":800,"hash":801,"mime":385,"name":802,"path":33,"size":803,"width":575,"height":576,"sizeInBytes":804},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Google_Sheets_MCP_how_to_connect_Google_Sheets_to_claude_4f8acdafdd.png","c2d3dd255bbb60f9820c96f2e315805b","thumbnail_Google_Sheets_MCP_how_to_connect_Google_Sheets_to_claude_4f8acdafdd","thumbnail_Google Sheets MCP - how to connect Google Sheets to claude.png",13.03,13033,"Google_Sheets_MCP_how_to_connect_Google_Sheets_to_claude_4f8acdafdd",781.61,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Google_Sheets_MCP_how_to_connect_Google_Sheets_to_claude_4f8acdafdd.png","2026-08-07T11:02:31.645Z","pkot96ylzm4xcdnb5k1k75ts","2026-08-07T11:02:31.646Z",{"id":585,"name":586,"about":587,"email":588,"createdAt":589,"updatedAt":590,"publishedAt":591,"slug":592,"linkedin_url":593,"documentId":594},{"id":115,"title":673,"slug":674,"subheading":675,"createdAt":676,"updatedAt":677,"publishedAt":678,"documentId":679},{"id":814,"title":815,"slug":816,"summary":817,"body":818,"read_time":76,"createdAt":819,"updatedAt":820,"publishedAt":821,"errors":33,"table_of_contents":34,"dateReorder":822,"documentId":823,"cover_image":824,"author":840,"article_category":33},3015,"100+ PPC Benchmarks 2026: Latest Data by Platform and Industry","ppc-benchmarks","See the latest PPC benchmarks by platform and industry, and learn why an average CTR, CPC, or ROAS doesn't always mean a healthy campaign.","\u003Cp>PPC benchmarks are useful for building forecasts, measuring campaign performance, and defending numbers against leadership or clients. \u003C/p>\u003Cp>But they're spread out everywhere: in a gated PDF, a hallucinated source by ChatGPT, a study that turned out to be from 2019. \u003C/p>\u003Cp>To make your life easier, we  researched and validated every source and pulled the most credible benchmarks in 2026 into one place. \u003C/p>\u003Cp>Every PPC benchmark in this guide comes from a named, dated source that publishes its methodology:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e8cd873b85825e1a199b372656cf1249e\">\u003Ca href=\"https://www.wordstream.com/ppc-benchmarks\" target=\"_blank\" rel=\"noopener noreferrer\">WordStream and LocaliQ's study\u003C/a> of 13,474 search campaigns, plus the \u003Ca href=\"https://www.wordstream.com/wp-content/uploads/2026/05/ws-guide-2026-google-ads-benchmarks.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">2026 Google Ads guide\u003C/a> and \u003Ca href=\"https://www.wordstream.com/blog/facebook-ads-benchmarks-2025\" target=\"_blank\" rel=\"noopener noreferrer\">Facebook benchmarks\u003C/a>\u003C/li>\u003Cli data-list-item-id=\"ec1b7b252ed492daa49bf9244a29a44f5\">Triple Whale's ecommerce datasets for \u003Ca href=\"https://www.triplewhale.com/blog/google-ads-benchmarks\" target=\"_blank\" rel=\"noopener noreferrer\">Google\u003C/a>, \u003Ca href=\"https://www.triplewhale.com/blog/facebook-ads-benchmarks\" target=\"_blank\" rel=\"noopener noreferrer\">Meta\u003C/a>, and \u003Ca href=\"https://www.triplewhale.com/blog/tiktok-benchmarks\" target=\"_blank\" rel=\"noopener noreferrer\">TikTok\u003C/a>\u003C/li>\u003Cli data-list-item-id=\"e70b160294a7766a2bb0cd13efda2c9ea\">\u003Ca href=\"https://cdn.dreamdata.io/downloads/Benchmarks-Report-2026-Final-Digital.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Dreamdata's 2026 B2B report\u003C/a>\u003C/li>\u003Cli data-list-item-id=\"e95ad020b533f0c6c3f76e0350b3ef44a\">\u003Ca href=\"https://zenabm.com/linkedin-abm-benchmarks-report\" target=\"_blank\" rel=\"noopener noreferrer\">ZenABM's LinkedIn ABM data\u003C/a>\u003C/li>\u003Cli data-list-item-id=\"e2d1b07c07c1b662f2e6725f12159f950\">Birch's live trackers for \u003Ca href=\"https://app.bir.ch/instagram-advertising-costs/cpc-cost-per-click\" target=\"_blank\" rel=\"noopener noreferrer\">Instagram CPC\u003C/a>, \u003Ca href=\"https://app.bir.ch/facebook-advertising-costs/cpl-cost-per-lead\">Facebook CPL\u003C/a>, and \u003Ca href=\"https://app.bir.ch/instagram-advertising-costs/cpl-cost-per-lead\" target=\"_blank\" rel=\"noopener noreferrer\">Instagram CPL\u003C/a>\u003C/li>\u003Cli data-list-item-id=\"ec3af048118db1f0823385fb9cc97a413\">\u003Ca href=\"https://brightbid.com/blog/google-ads-vs-bing-ads-cpc-data/\" target=\"_blank\" rel=\"noopener noreferrer\">BrightBid\u003C/a> and \u003Ca href=\"https://www.lionheartsearch.com/paid-search-ads-blog/microsoft-ads-vs-google-ads-an-honest-comparison-for-2026\" target=\"_blank\" rel=\"noopener noreferrer\">Lionheart\u003C/a> for Microsoft Ads, \u003Ca href=\"https://adliftr.com/blog/snapchat-ads-cost-benchmarks-2026\" target=\"_blank\" rel=\"noopener noreferrer\">AdLiftr\u003C/a> for Snapchat, \u003Ca href=\"https://www.webfx.com/blog/social-media/pinterest-marketing-benchmarks/\" target=\"_blank\" rel=\"noopener noreferrer\">WebFX\u003C/a> for Pinterest, and the ad platforms' own documentation\u003C/li>\u003C/ul>\u003Cp>Where two good sources disagreed, we kept both and explained what each one measured. No averaging two datasets into a number nobody recorded.\u003C/p>\u003Cp>Let's dig in.\u003C/p>\u003Ch2>TL;DR: 2026 PPC benchmarks by channel\u003C/h2>\u003Cp>Before we go into the nitty-gritty, here's a high-level overview of the benchmarks for each channel, and a handy image:\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/ppc_benchmarks_2026_by_channel_a9b04f1dc4.png\" alt=\"ppc-benchmarks-2026-by-channel.png\" width=\"2160\" height=\"1632\">\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ecc4a85d131e43b589c53723acdb9e7d3\">\u003Cstrong>Google Ads:\u003C/strong> 6.64% CTR, $5.42 CPC, 8.18% conversion rate, $66.69 CPL.\u003C/li>\u003Cli data-list-item-id=\"efdc3638dc00a7d71b919e26689bdccff\">\u003Cstrong>Facebook and Meta Ads:\u003C/strong> 1.71% CTR and $0.70 CPC on traffic campaigns, $1.92 CPC on lead campaigns. For ecommerce, a $14.19 median CPM and a 1.86 median ROAS.\u003C/li>\u003Cli data-list-item-id=\"eb55f850b3243d218ccc1af73ebbcc93e\">\u003Cstrong>LinkedIn Ads:\u003C/strong> 0.57% to 0.69% CTR, $6.88 to $11.04 CPC, $39.48 to $78.30 CPM, 1.21 to 1.62 ROAS.\u003C/li>\u003Cli data-list-item-id=\"ea207119f5a37271c7d90ab5c6dcb5e6a\">\u003Cstrong>Bing and Microsoft Ads:\u003C/strong> 3.10% CTR, $1.45 to $1.54 CPC, 3.50% conversion rate, $38.50 CPA.\u003C/li>\u003Cli data-list-item-id=\"eb2342e825bb36d2afefb964aa0fffcd1\">\u003Cstrong>TikTok Ads:\u003C/strong> 1.77% CTR, $13.26 CPM, 2.01% conversion rate, $32.74 CPA, 2.21 ROAS, $74.12 AOV.\u003C/li>\u003Cli data-list-item-id=\"e86899770b7884b257a6edf096c7bf289\">\u003Cstrong>Pinterest Ads:\u003C/strong> 0.15% to 0.25% CTR, $0.50 to $1.50 CPC, $0.10 to $0.30 per engagement, 2% to 4% conversion rate.\u003C/li>\u003Cli data-list-item-id=\"e90452f6efff9be218df38a6bf800254f\">\u003Cstrong>Snapchat Ads:\u003C/strong> 1.04% CTR, $0.84 CPC, and $23.40 to acquire a first-time DTC purchaser.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>How to read any of that\u003C/strong>\u003C/p>\u003Cp>A good CTR runs from under 2% on paid social to nearly 7% on search, so the platform matters more than the percentage. If you're near your platform's figure, you're in safe territory, though it's not a pass-or-fail line: objective, industry, audience intent, and ad format all move it.\u003C/p>\u003Cp>The same caution applies to \u003Ca href=\"https://help.whatagraph.com/en/articles/12301613-how-can-i-calculate-roas-and-ad-cost-percentage-using-google-analytics-revenue\" target=\"_blank\" rel=\"noopener noreferrer\">ROAS\u003C/a>. \u003Cstrong>A 2.5 ROAS beats the 2.21 TikTok median Triple Whale recorded in 2025.\u003C/strong> Whether it's \u003Ci>profitable\u003C/i> is a margin question. Break-even ROAS is 1 divided by your gross margin, so at a 40% margin, 2.5 is exactly break-even and every dollar above cost of goods goes straight back into the ads.\u003C/p>\u003Cp>Launching with no history? Start from these all-industry numbers, then narrow to your vertical once your own data is worth trusting.\u003C/p>\u003Cp>Keep in mind also that benchmarks are just...well...benchmarks. They're meant as yardsticks but not absolute standards for which you should be striving for or comparing against. \u003C/p>\u003Cp>Now let's dive into each channel.\u003C/p>\u003Ch2>Google Ads benchmarks for 2026\u003C/h2>\u003Cp>The largest public dataset here, \u003Ca href=\"https://www.wordstream.com/wp-content/uploads/2026/05/ws-guide-2026-google-ads-benchmarks.pdf?mkt_tok=NjIyLUJIQy01MTcAAAGjVAGy2o_5mqTBDasMGzTZq8OID_hMF334iXVrTwWudG_OVgxYZzdHF4z88qiB7qpNI3Ih2nbjH-Ac4c1pyQKgEhRR0xIh9ORwzTI7_VsYEU83MVPK8A\" target=\"_blank\" rel=\"noopener noreferrer\">WordStream and LocaliQ's\u003C/a>, doesn't isolate Google. The 13,474 campaigns span Google and Microsoft Ads, weighted roughly 80%-85% Google by budget. This is a reminder to know what's inside a number before comparing yourself to it.\u003C/p>\u003Cp>I’ll use it here as a Google-weighted paid-search benchmark, then bring in Google-specific datasets where available.\u003C/p>\u003Cp>After a few jumpy years, the headline figures have settled down. CTR fell 0.3%, CPC went up 3.04%, and conversion rate increased by 8.78%. In 87% of the industries studied, conversion rates went up.\u003C/p>\u003Cp>Zoom out, though, and search hasn’t become cheap again. \u003Cstrong>The average CPC has more than doubled from $2.32 in 2016 to $5.42 in 2026.\u003C/strong> CPL rose much less over the same decade, from $59.18 to $66.69.\u003C/p>\u003Ch3>CTR benchmarks for Google Ads\u003C/h3>\u003Cp>\u003Cstrong>The broad 2026 search benchmark is 6.64% CTR, according to Wordstream.\u003C/strong> But Google-specific \u003Ca href=\"https://whatagraph.com/blog/articles/ecommerce-analytics\" target=\"_blank\" rel=\"noopener noreferrer\">ecommerce data\u003C/a> tells a different story.\u003C/p>\u003Cp>\u003Ca href=\"https://www.triplewhale.com/blog/google-ads-benchmarks\" target=\"_blank\" rel=\"noopener noreferrer\">Triple Whale analyzed Google Ads\u003C/a> performance from more than 18,000 ecommerce brands during 2025 and recorded a 1.51% CTR, alongside a 3.22% conversion rate and 3.31 ROAS.\u003C/p>\u003Cp>Triple Whale covers Google Ads as a whole rather than isolating Search campaigns, so 1.51% and 6.64% aren’t competing answers.\u003C/p>\u003Ch3>Google Ads CPC benchmarks\u003C/h3>\u003Cp>The Google-weighted 2026 Google Ads CPC benchmark is $5.42. Here, industry has far more influence. For example, automotive repair is a great counterexample to CPC tunnel vision. The industry’s $4.35 CPC sits below the overall figure, but the more interesting numbers come next: a 15.51% conversion rate and $29.96 CPL.\u003C/p>\u003Cp>So, it has the lowest CTR in the study and one of its strongest conversion funnels.\u003C/p>\u003Ch3>B2B Google Ads benchmarks\u003C/h3>\u003Cp>Business services is the closest broad B2B category in the WordStream and LocaliQ study: 6.10% CTR, $5.87 CPC, 4.85% conversion rate, and $93.69 CPL.\u003C/p>\u003Cp>These are useful Google Ads B2B advertising benchmarks, but “lead” may mean a form filled in one account, a qualified demo in another, and a sales-accepted opportunity in a third.\u003C/p>\u003Ch3>Google Ads industry benchmarks\u003C/h3>\u003Cp>The table below contains the latest Google Ads benchmarks by industry:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Industry\u003C/th>\u003Cth>CTR\u003C/th>\u003Cth>CPC\u003C/th>\u003Cth>CVR\u003C/th>\u003Cth>CPL\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Animals and pets\u003C/td>\u003Ctd>7.49%\u003C/td>\u003Ctd>$4.06\u003C/td>\u003Ctd>16.22%\u003C/td>\u003Ctd>$31.50\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Apparel, fashion, and jewelry\u003C/td>\u003Ctd>6.64%\u003C/td>\u003Ctd>$4.44\u003C/td>\u003Ctd>4.50%\u003C/td>\u003Ctd>$97.51\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Arts and entertainment\u003C/td>\u003Ctd>12.75%\u003C/td>\u003Ctd>$1.63\u003C/td>\u003Ctd>5.91%\u003C/td>\u003Ctd>$26.84\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Attorneys and legal services\u003C/td>\u003Ctd>5.87%\u003C/td>\u003Ctd>$9.87\u003C/td>\u003Ctd>5.55%\u003C/td>\u003Ctd>$131.63\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Automotive: for sale\u003C/td>\u003Ctd>8.28%\u003C/td>\u003Ctd>$2.27\u003C/td>\u003Ctd>6.01%\u003C/td>\u003Ctd>$44.26\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Automotive: repair, service, and parts\u003C/td>\u003Ctd>5.56%\u003C/td>\u003Ctd>$4.35\u003C/td>\u003Ctd>15.51%\u003C/td>\u003Ctd>$29.96\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Beauty and personal care\u003C/td>\u003Ctd>6.75%\u003C/td>\u003Ctd>$4.62\u003C/td>\u003Ctd>10.35%\u003C/td>\u003Ctd>$39.25\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Business services\u003C/td>\u003Ctd>6.10%\u003C/td>\u003Ctd>$5.87\u003C/td>\u003Ctd>4.85%\u003C/td>\u003Ctd>$93.69\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Career and employment\u003C/td>\u003Ctd>5.88%\u003C/td>\u003Ctd>$5.81\u003C/td>\u003Ctd>3.05%\u003C/td>\u003Ctd>$67.36\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Dentists and dental services\u003C/td>\u003Ctd>5.66%\u003C/td>\u003Ctd>$8.00\u003C/td>\u003Ctd>10.67%\u003C/td>\u003Ctd>$72.97\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Education and instruction\u003C/td>\u003Ctd>7.56%\u003C/td>\u003Ctd>$4.81\u003C/td>\u003Ctd>13.14%\u003C/td>\u003Ctd>$77.48\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Finance and insurance\u003C/td>\u003Ctd>9.83%\u003C/td>\u003Ctd>$3.39\u003C/td>\u003Ctd>2.64%\u003C/td>\u003Ctd>$74.44\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Furniture\u003C/td>\u003Ctd>6.57%\u003C/td>\u003Ctd>$3.97\u003C/td>\u003Ctd>2.99%\u003C/td>\u003Ctd>$106.70\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Health and fitness\u003C/td>\u003Ctd>5.81%\u003C/td>\u003Ctd>$6.17\u003C/td>\u003Ctd>6.94%\u003C/td>\u003Ctd>$67.36\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Home and home improvement\u003C/td>\u003Ctd>6.47%\u003C/td>\u003Ctd>$8.33\u003C/td>\u003Ctd>8.05%\u003C/td>\u003Ctd>$90.92\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Industrial and commercial\u003C/td>\u003Ctd>6.57%\u003C/td>\u003Ctd>$5.87\u003C/td>\u003Ctd>8.20%\u003C/td>\u003Ctd>$75.19\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Personal services\u003C/td>\u003Ctd>7.16%\u003C/td>\u003Ctd>$7.17\u003C/td>\u003Ctd>12.34%\u003C/td>\u003Ctd>$54.60\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Physicians and surgeons\u003C/td>\u003Ctd>6.61%\u003C/td>\u003Ctd>$4.76\u003C/td>\u003Ctd>12.43%\u003C/td>\u003Ctd>$40.04\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Real estate\u003C/td>\u003Ctd>7.61%\u003C/td>\u003Ctd>$3.22\u003C/td>\u003Ctd>3.70%\u003C/td>\u003Ctd>$102.51\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Restaurants and food\u003C/td>\u003Ctd>6.83%\u003C/td>\u003Ctd>$2.05\u003C/td>\u003Ctd>8.05%\u003C/td>\u003Ctd>$30.57\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Shopping, collectibles, and gifts\u003C/td>\u003Ctd>8.28%\u003C/td>\u003Ctd>$4.14\u003C/td>\u003Ctd>4.01%\u003C/td>\u003Ctd>$49.40\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Sports and recreation\u003C/td>\u003Ctd>8.75%\u003C/td>\u003Ctd>$2.77\u003C/td>\u003Ctd>7.69%\u003C/td>\u003Ctd>$44.26\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Travel\u003C/td>\u003Ctd>9.32%\u003C/td>\u003Ctd>$2.14\u003C/td>\u003Ctd>5.83%\u003C/td>\u003Ctd>$44.70\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/google_ads_industry_benchmarks_2026_6b3372c99f.png\" alt=\"google-ads-industry-benchmarks-2026.png\" width=\"2160\" height=\"2632\">\u003C/p>\u003Cp>Want to report on Google Ads numbers? Check out this \u003Ca href=\"https://whatagraph.com/templates/ppc-report#google-ads-ameet-khabra\">Google Ads report template\u003C/a> we co-created with Ameet Khabra, Founder, Hop Skip Media agency. The template includes metrics that matter, like:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e640e54211cb439c8898f0eb5f4b9ef00\">Conversion rate\u003C/li>\u003Cli data-list-item-id=\"e942353e566d75e12e836c29fcbe5f789\">Total cost\u003C/li>\u003Cli data-list-item-id=\"e7aa02f9068163ce417e1d6655c9cea55\">Cost per conversion\u003C/li>\u003Cli data-list-item-id=\"e0242a4488aa553adb15611ebff896dab\">CPC, CTR, and more\u003C/li>\u003C/ul>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Google_ads_report_template_Ameet_Khabra_fbb3712fa5.png\" alt=\"Google Ads Report Template - An orange and white report showing key metrics, charts, and audience insights.\" width=\"1560\" height=\"5679\">\u003C/p>\u003Cp>Or want a cross-channel PPC report template instead? We've got \u003Ca href=\"https://whatagraph.com/blog/articles/ppc-reporting-examples\">10 PPC reporting examples\u003C/a> here. \u003C/p>\u003Ch2>Facebook/Meta Ads benchmarks for 2026\u003C/h2>\u003Cp>There are three datasets that carry this section, and they measure different worlds:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e13869f004a04110348589f1b741ba34c\">\u003Ca href=\"https://www.wordstream.com/blog/facebook-ads-benchmarks-2025\" target=\"_blank\" rel=\"noopener noreferrer\">WordStream’s 2025 Facebook benchmarks\u003C/a> cover U.S. campaigns reported separately by objective and industry: traffic versus leads.\u003C/li>\u003Cli data-list-item-id=\"e6f33b16078e54ce45e2583f3bfa06aea\">\u003Ca href=\"https://www.triplewhale.com/blog/facebook-ads-benchmarks\" target=\"_blank\" rel=\"noopener noreferrer\">Triple Whale's Meta benchmarks\u003C/a> cover nearly 35,000 ecommerce brands across full-year 2025, Facebook and Instagram combined.\u003C/li>\u003Cli data-list-item-id=\"efb2146d6719621b2cea8d6b6ee14107c\">Birch’s (formerly RevealBot) live trackers update weekly using hundreds of millions of dollars in monthly U.S. ad spend.\u003C/li>\u003C/ol>\u003Ch3>What is a good cost per click for Facebook ads?\u003C/h3>\u003Cp>\u003Cstrong>The median CPC for Facebook traffic campaigns is $0.70 across industries.\u003C/strong> For lead campaigns, it’s $1.92.\u003C/p>\u003Cp>There's a big difference between a lead-gen click that costs under a dollar in restaurants and one that costs almost $10 in dentistry: the customer is worth more.\u003C/p>\u003Cp>For ecommerce brands, reach became markedly more expensive in 2025. Triple Whale’s top-line Meta CPM rose 20.03% to $14.19, and every industry in its dataset saw CPM increase.\u003C/p>\u003Cp>\u003Ci>(Speaking of ecommerce, here's a \u003C/i>\u003Ca href=\"https://whatagraph.com/templates/ppc-report#meta-ads-ecommerce-lars-maat\">\u003Ci>Meta Ads report template\u003C/i>\u003C/a>\u003Ci> for ecommerce clients you can steal.)\u003C/i>\u003C/p>\u003Cp>As of July 2026, per Birch, the average Instagram CPC sits at \u003Ca href=\"https://app.bir.ch/instagram-advertising-costs/cpc-cost-per-click\" target=\"_blank\" rel=\"noopener noreferrer\">$1.34\u003C/a>, Facebook cost per lead at \u003Ca href=\"https://app.bir.ch/facebook-advertising-costs/cpl-cost-per-lead\" target=\"_blank\" rel=\"noopener noreferrer\">$34.64\u003C/a>, and Instagram CPL at \u003Ca href=\"https://app.bir.ch/instagram-advertising-costs/cpl-cost-per-lead\" target=\"_blank\" rel=\"noopener noreferrer\">$47.93\u003C/a>.\u003C/p>\u003Cp>\u003Cstrong>Note:\u003C/strong> Meta’s default CPC can count interactions such as reactions and media clicks. Birch uses cost per link click, which is usually what a performance marketer means when asking how much it costs to send someone somewhere.\u003C/p>\u003Ch3>Facebook ads ROAS benchmarks\u003C/h3>\u003Cp>The median ROAS across Meta in 2025 was 1.86, per Triple Whale's dataset of nearly 35,000 ecommerce brands. And 12 of 15 industries improved year over year, even as CPMs rose across every single one.\u003C/p>\u003Cp>Now for the harder question: 1.86 of \u003Ci>what\u003C/i>, exactly?\u003C/p>\u003Cp>Meta’s latest incremental-attribution rollout \u003Ca href=\"https://about.fb.com/news/2026/01/2026-ai-drives-performance/\" target=\"_blank\" rel=\"noopener noreferrer\">drove 24%\u003C/a> more incremental conversions than its standard attribution model in Q4 2025. And Meta's reported ROAS is one version of the truth to begin with—the platform grading its own homework, with its own attribution window and its own opinion of which sales belong to it.\u003C/p>\u003Cp>On Whatagraph, you can create your own definition of ROAS (apart from platform-reported ones) easily with \u003Ca href=\"https://help.whatagraph.com/en/articles/8271915-how-to-set-up-and-apply-custom-metrics\" target=\"_blank\" rel=\"noopener noreferrer\">Custom Metrics\u003C/a>. Just choose your channel or data source and create a custom formula that works to calculate ROAS. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Custom_metric_Facebook_Ads_MCP_0f900d7bc4.png\" alt=\"Custom metric - Facebook Ads MCP.png\" width=\"3600\" height=\"3159\">\u003C/p>\u003Cp>Then, you can apply this custom ROAS to all your reports, dashboards, and even AI tools like Claude or ChatGPT, so they always answer you back with your own definition of ROAS, not someone else's.\u003C/p>\u003Cp>Want to combine Facebook Ads data with Google Ads or map conversions with Hubspot. You can do so with \u003Ca href=\"https://help.whatagraph.com/en/articles/8926666-blended-sources-building-unified-views-from-multiple-data-sources\" target=\"_blank\" rel=\"noopener noreferrer\">Blended Sources\u003C/a>.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Blend_data_sources_Facebook_Ads_MCP_ad281cffc3.png\" alt=\"Blend data sources -  Facebook Ads MCP.png\" width=\"3600\" height=\"2274\">\u003C/p>\u003Cp>Or if you have dozens of sources and you want to report on them together, you'll love Source Groups. They let you combine multiple sources across diffeerent channels (e.g. Facebook Ads, Google Ads, and LinkedIn Ads) so you can:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e9797b582a6bde4ffcb5e7a6f45452ba9\">Aggregate metrics without custom formulas\u003C/li>\u003Cli data-list-item-id=\"e20ca87f958431dd503cbd9fdaf484663\">Report on cross-channel or single-source data more efficiently\u003C/li>\u003Cli data-list-item-id=\"ed9c909762d4e5b9e4b288f40174dbd37\">Keep your reporting organized and easier to manage\u003C/li>\u003C/ul>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Source_groups_Facebook_Ads_MCP_33387492d6.png\" alt=\"Source groups -  Facebook Ads MCP.png\" width=\"3600\" height=\"2138\">\u003C/p>\u003Cp>Again, you can add this blended data to your reports and dashboards, and push it to AI tools. \u003C/p>\u003Cp>This means all your external-facing reports, internal dashboards, and AI analytics tools all share ONE cleaned definitions and dimensions according to what makes sense for your business. Any team member or stakeholder can ask the same question to Claude and get back the same answers without any hallucinations or calculations happening on the fly. \u003C/p>\u003Ch3>Facebook and Meta Ads benchmarks by industry\u003C/h3>\u003Cp>In WordStream’s Facebook traffic data, shopping, collectibles, and gifts posts the highest CTR at 4.13% and the lowest CPC at $0.34.\u003C/p>\u003Cp>The lead campaigns redraw the map. For example, restaurants and food generate leads for $3.16 apiece, while dentists and dental services pay $76.71.\u003C/p>\u003Cp>For ecommerce, Triple Whale’s nearly 35,000-brand dataset gives us a broader Meta view across Facebook and Instagram:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Industry\u003C/th>\u003Cth>CTR\u003C/th>\u003Cth>CVR\u003C/th>\u003Cth>CPA\u003C/th>\u003Cth>ROAS\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Apparel and accessories\u003C/td>\u003Ctd>2.25%\u003C/td>\u003Ctd>1.46%\u003C/td>\u003Ctd>$36.76\u003C/td>\u003Ctd>2.18\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Beauty\u003C/td>\u003Ctd>2.27%\u003C/td>\u003Ctd>1.94%\u003C/td>\u003Ctd>$37.92\u003C/td>\u003Ctd>1.57\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Home and garden\u003C/td>\u003Ctd>2.22%\u003C/td>\u003Ctd>1.32%\u003C/td>\u003Ctd>$46.46\u003C/td>\u003Ctd>2.18\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Food and beverage\u003C/td>\u003Ctd>1.85%\u003C/td>\u003Ctd>2.02%\u003C/td>\u003Ctd>$38.15\u003C/td>\u003Ctd>1.56\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Health and wellness\u003C/td>\u003Ctd>2.70%\u003C/td>\u003Ctd>1.72%\u003C/td>\u003Ctd>$38.55\u003C/td>\u003Ctd>1.50\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Sports and outdoors\u003C/td>\u003Ctd>1.91%\u003C/td>\u003Ctd>1.28%\u003C/td>\u003Ctd>$43.89\u003C/td>\u003Ctd>2.28\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Toys, art, and collectibles\u003C/td>\u003Ctd>2.19%\u003C/td>\u003Ctd>1.52%\u003C/td>\u003Ctd>$34.87\u003C/td>\u003Ctd>1.93\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Pets and animals\u003C/td>\u003Ctd>2.13%\u003C/td>\u003Ctd>1.80%\u003C/td>\u003Ctd>$38.18\u003C/td>\u003Ctd>1.58\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Electronics\u003C/td>\u003Ctd>2.19%\u003C/td>\u003Ctd>1.20%\u003C/td>\u003Ctd>$49.48\u003C/td>\u003Ctd>1.92\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Lifestyle and boutique\u003C/td>\u003Ctd>2.28%\u003C/td>\u003Ctd>1.74%\u003C/td>\u003Ctd>$29.99\u003C/td>\u003Ctd>1.93\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Baby\u003C/td>\u003Ctd>1.91%\u003C/td>\u003Ctd>1.85%\u003C/td>\u003Ctd>$30.04\u003C/td>\u003Ctd>2.17\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Automotive\u003C/td>\u003Ctd>2.22%\u003C/td>\u003Ctd>1.30%\u003C/td>\u003Ctd>$34.15\u003C/td>\u003Ctd>2.54\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Books and music\u003C/td>\u003Ctd>2.34%\u003C/td>\u003Ctd>1.72%\u003C/td>\u003Ctd>$30.25\u003C/td>\u003Ctd>1.65\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Media and publishing\u003C/td>\u003Ctd>2.21%\u003C/td>\u003Ctd>1.56%\u003C/td>\u003Ctd>$33.78\u003C/td>\u003Ctd>1.17\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Travel accessories and luggage\u003C/td>\u003Ctd>2.19%\u003C/td>\u003Ctd>1.29%\u003C/td>\u003Ctd>$48.37\u003C/td>\u003Ctd>2.25\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2160/1956;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/facebook_meta_ads_industry_benchmarks_2026_c78b63f17a.png\" alt=\"facebook-meta-ads-industry-benchmarks-2026.png\" width=\"2160\" height=\"1956\">\u003C/figure>\u003Cp>The table doesn’t produce one obvious winner; health and wellness has the highest CTR at 2.70%, but a 1.50 ROAS. The strongest click rate, conversion rate, and return belong to three different industries. That’s why a Meta benchmark works best as a row of connected numbers.\u003C/p>\u003Ch2>LinkedIn Ads benchmarks for 2026\u003C/h2>\u003Cp>What are the LinkedIn Ads benchmarks for 2026? \u003Cstrong>Expect a CTR between 0.5% and 0.7%, a CPC between roughly $7 and $11, and a cost-per-mile (CPM) from about $40 to $78.\u003C/strong>\u003C/p>\u003Cp>But Tthe real answer depends on \u003Ci>whose\u003C/i> LinkedIn you're advertising on.\u003C/p>\u003Cp>\u003Ca href=\"https://cdn.dreamdata.io/downloads/Benchmarks-Report-2026-Final-Digital.pdf?ajs_event=emailClicked&ajs_uid=1e92fd96f136b9cd3aeedce3629b9957a99a33a6&utm_campaign=Growth%3A+LinkedIn-Ads-Benchmark-Report+%28sign+up%29&utm_medium=email_action&utm_source=transactional\">Dreamdata’s broad B2B dataset\u003C/a> puts LinkedIn at a 0.57% CTR, $6.88 CPC, $39.48 CPM, and 1.21 ROAS. \u003Ca href=\"https://zenabm.com/linkedin-abm-benchmarks-report\">ZenABM’s account-based marketing data\u003C/a> puts the typical company at a 0.69% CTR, $11.04 CPC, $78.30 CPM, and 1.62 ROAS.\u003C/p>\u003Cp>Both are 2026 reports built from 2025 performance data, but they measure different versions of LinkedIn.\u003C/p>\u003Cp>Dreamdata aggregates campaign and customer-journey data from thousands of B2B customers, covering more than 66 million sessions and 3.5 million journeys. ZenABM analyzes 161,256 ads from 211 companies across 29 countries, representing $5.5 million in LinkedIn ABM spend.\u003C/p>\u003Cp>\u003Cstrong>Note:\u003C/strong> Dreamdata reports monetary figures in euros. I converted them at \u003Ca href=\"https://wise.com/in/currency-converter/eur-to-usd-rate?amount=1\">€1 = $1.15\u003C/a> as of July 31, 2026 and rounded the results. The original values are \u003Ca href=\"https://cdn.dreamdata.io/downloads/Benchmarks-Report-2026-Final-Digital.pdf?ajs_event=emailClicked&ajs_uid=1e92fd96f136b9cd3aeedce3629b9957a99a33a6&utm_campaign=Growth%3A+LinkedIn-Ads-Benchmark-Report+%28sign+up%29&utm_medium=email_action&utm_source=transactional\">in the report\u003C/a>.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Dataset\u003C/th>\u003Cth>Scope\u003C/th>\u003Cth>CTR\u003C/th>\u003Cth>CPC\u003C/th>\u003Cth>CPM\u003C/th>\u003Cth>ROAS\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Dreamdata\u003C/td>\u003Ctd>Broad B2B advertising\u003C/td>\u003Ctd>0.57%\u003C/td>\u003Ctd>$6.88\u003C/td>\u003Ctd>$39.48\u003C/td>\u003Ctd>1.21\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>ZenABM\u003C/td>\u003Ctd>LinkedIn ABM campaigns\u003C/td>\u003Ctd>0.69%\u003C/td>\u003Ctd>$11.04\u003C/td>\u003Ctd>$78.30\u003C/td>\u003Ctd>1.62\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/linkedin_ads_benchmarks_by_dataset_2026_2a3a20ee3f.png\" alt=\"linkedin-ads-benchmarks-by-dataset-2026.png\" width=\"2160\" height=\"858\">\u003C/p>\u003Ch3>What is a good CTR for LinkedIn Ads?\u003C/h3>\u003Cp>A broad LinkedIn CTR benchmark sits between 0.57% and 0.69% across the two reports. That’s a good first check, but ad format is arguably the better one.\u003C/p>\u003Cp>ZenABM reports the following medians:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>LinkedIn ad format\u003C/th>\u003Cth>CTR\u003C/th>\u003Cth>CPC\u003C/th>\u003Cth>CPM\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Thought Leader Ads\u003C/td>\u003Ctd>2.68%\u003C/td>\u003Ctd>$2.29\u003C/td>\u003Ctd>$49.37\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Lead Gen Form ads\u003C/td>\u003Ctd>0.45%\u003C/td>\u003Ctd>$12.33\u003C/td>\u003Ctd>$75.59\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Single-image ads\u003C/td>\u003Ctd>0.42%\u003C/td>\u003Ctd>$13.23\u003C/td>\u003Ctd>$59.15\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Carousel ads\u003C/td>\u003Ctd>0.32%\u003C/td>\u003Ctd>$13.30\u003C/td>\u003Ctd>$45.28\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Document ads\u003C/td>\u003Ctd>0.30%\u003C/td>\u003Ctd>$12.05\u003C/td>\u003Ctd>$72.02\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Video ads\u003C/td>\u003Ctd>0.24%\u003C/td>\u003Ctd>$15.61\u003C/td>\u003Ctd>$38.94\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2160/1204;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/linkedin_ads_benchmarks_by_format_2026_99f0a95dc5.png\" alt=\"linkedin-ads-benchmarks-by-format-2026.png\" width=\"2160\" height=\"1204\">\u003C/figure>\u003Cp>The document-ad sample is small, so treat that row as directional. See how Thought Leader Ads appear to flatten every other format at 2.68% CTR. Then you ask how many people left LinkedIn, and the median falls to 0.29% landing-page CTR.\u003C/p>\u003Ch3>What is a good CPC for LinkedIn Ads?\u003C/h3>\u003Cp>Dreamdata’s broad B2B data puts LinkedIn CPC at $6.88. ZenABM’s median for account-based campaigns is $11.04.\u003C/p>\u003Cp>Even within one platform, “LinkedIn CPC” can describe two very different purchases. ZenABM’s top performers recorded a 0.21% CTR and $21.91 CPC, both worse than its typical company. They also generated $15.20 in influenced pipeline per ad dollar and a 2.79 ROAS.\u003C/p>\u003Cp>ZenABM notes that high contract values help drive that performance, but the broader point holds: the click was expensive because the \u003Ci>account\u003C/i> behind it could be worth considerably more.\u003C/p>\u003Cp>\u003Cstrong>For LinkedIn, therefore, a good CPC reaches the intended companies and buying roles at a cost the eventual deal can support.\u003C/strong>\u003C/p>\u003Ch3>LinkedIn Ads ROAS benchmarks\u003C/h3>\u003Cp>Dreamdata reports a 1.21 LinkedIn ROAS, up from 1.13 the previous year. ZenABM records a higher median of 1.62 for LinkedIn ABM programs, rising to 2.79 among its top performers.\u003C/p>\u003Cp>ZenABM also reports $5.21 in influenced pipeline per ad dollar for the typical company. Keep that separate from ROAS:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ead939473b1a6007dfe77ffdab25288ae\">Pipeline per dollar compares influenced opportunity value with ad spend.\u003C/li>\u003Cli data-list-item-id=\"e00145aebc5df53a9b1c2aeb1d5a9dcdc\">ROAS compares attributed closed revenue with ad spend.\u003C/li>\u003C/ul>\u003Cp>The attribution method is important here too. Dreamdata calculates ROAS from closed-won deals over 12 months using a data-driven model, with impressions excluded and extreme outliers filtered. ZenABM, on the other hand, combines LinkedIn Campaign Manager and CRM data and uses impression-based attribution for influenced pipeline.\u003C/p>\u003Cp>LinkedIn also might not make sense inside a monthly report. That’s because Dreamdata puts the average B2B customer journey at 272 days and the average time from a first LinkedIn ad impression to revenue at 281 days.\u003C/p>\u003Ch3>LinkedIn Ads industry benchmarks\u003C/h3>\u003Cp>The latest LinkedIn Ads benchmarks by industry come from ZenABM’s account-based advertising data. The detailed performance table reports averages rather than medians, so compare these rows with one another, not directly with the median account figures above.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Industry\u003C/th>\u003Cth>Average CTR\u003C/th>\u003Cth>Average CPC\u003C/th>\u003Cth>Average CPM\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Software development\u003C/td>\u003Ctd>1.09%\u003C/td>\u003Ctd>$10.95\u003C/td>\u003Ctd>$70.14\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>IT services and consulting\u003C/td>\u003Ctd>1.04%\u003C/td>\u003Ctd>$11.62\u003C/td>\u003Ctd>$69.25\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Advertising services\u003C/td>\u003Ctd>1.08%\u003C/td>\u003Ctd>$12.77\u003C/td>\u003Ctd>$65.06\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Technology, information, and internet\u003C/td>\u003Ctd>1.31%\u003C/td>\u003Ctd>$8.70\u003C/td>\u003Ctd>$74.20\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2160/1036;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/linkedin_ads_industry_benchmarks_2026_9648a0e8b1.png\" alt=\"linkedin-ads-industry-benchmarks-2026.png\" width=\"2160\" height=\"1036\">\u003C/figure>\u003Cp>\u003Cstrong>ZenABM’s sample leans toward technology companies, so these LinkedIn Ads industry benchmarks are most useful for B2B technology and services teams running formal ABM programs.\u003C/strong>\u003C/p>\u003Cp>The down-funnel sample becomes thinner still. For example, software development is the only named industry for which ZenABM publishes a dedicated pipeline-efficiency cut: a median 1.63 ROAS and $6.89 in influenced pipeline per ad dollar.\u003C/p>\u003Cp>The unit changes the verdict.\u003C/p>\u003Cp>In Dreamdata’s dataset, LinkedIn has the lowest cost per company influenced: $80.63, compared with $148.01 for Meta and $126.93 for Google Search. The report also finds that the average B2B deal involves 10 stakeholders.\u003C/p>\u003Cp>The other problem is that LinkedIn doesn’t travel alone in a B2B report.\u003C/p>\u003Cp>The numbers sit beside Google Ads, and somewhere above both is a single CPL or CAC target. Then the definitions start to drift. LinkedIn counts a Lead Gen Form submission; Google imports a qualified lead from the CRM; and one region waits for a booked demo; another reports the form fill.\u003C/p>\u003Cp>Each number may be correct inside its own dashboard, but together, they’re one column with three meanings.\u003C/p>\u003Cp>Whatagraph’s \u003Ca href=\"https://help.whatagraph.com/en/articles/9971629-source-groups-aggregate-metrics-across-multiple-data-sources\">Source Groups\u003C/a> can bring LinkedIn and Google Ads accounts, or several regional accounts, into one reporting view. Custom Metrics let you define CPL or CAC once and use the same formula and name wherever that data appears.\u003C/p>\u003Cp>Change the definition later, and you update the metric rather than rebuilding every report.\u003C/p>\u003Cp>Want a report template to get started with? Check out this \u003Ca href=\"https://whatagraph.com/templates/ppc-report#linkedin-ads-patrick-cumming\">LinkedIn Ads report\u003C/a> co-created with \u003Ca href=\"https://www.linkedin.com/in/patrick-james-cumming/\" target=\"_blank\" rel=\"noopener noreferrer\">Patrick Cumming\u003C/a>, Founder at Ad Juice agency. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Linked_In_ads_report_template_Patrick_Cumming_1_66eed7edf5.png\" alt=\"LinkedIn Ads Report Template - A well-organized LinkedIn Ads performance report.\" width=\"1560\" height=\"2907\">\u003C/p>\u003Ch2>Bing/Microsoft Ads benchmarks for 2026\u003C/h2>\u003Cp>First, the name. \u003Ca href=\"https://help.ads.microsoft.com/#apex/ads/en/60224/0:~:text=Bing%20Ads%20is%20now%20Microsoft%20Advertising.%20We%20have%20updated%20our%20Agreement%20and%20the%20new%20name%20for%20our%20commercial%20business%20across%20all%20our%20markets%20globally%20is%20now%20Microsoft%20Advertising.%20You%20can%20read%20about%20our%20name%20change%20here%3A%20Bing%20Ads%20Is%20Now%20Microsoft%20Advertising.\" target=\"_blank\" rel=\"noopener noreferrer\">Bing Ads became Microsoft Advertising in 2019\u003C/a>, but a lot of \u003Ca href=\"https://www.linkedin.com/posts/hanakobzova_do-you-still-call-it-bing-ads-its-been-activity-7455496167548776448-7hQt?utm_source=share&utm_medium=member_desktop&rcm=ACoAACbSH_cBQIasj0xo5lwJ7xQQiyi_4x9UW60\" target=\"_blank\" rel=\"noopener noreferrer\">PPC marketers still call it Bing\u003C/a> out of habit, so Bing it is.\u003C/p>\u003Cp>Even then, Bing is shorthand. \u003Ca href=\"https://about.ads.microsoft.com/en/solutions/ad-products-formats/search\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Search campaigns\u003C/a> can also run across partner sites such as Yahoo, AOL, DuckDuckGo, and Ecosia, depending on your settings. Your account-wide benchmark may therefore include more than Bing traffic.\u003C/p>\u003Cp>Second, you’ve already seen the largest current search benchmark dataset that includes Microsoft Ads. LocaliQ’s $5.42 CPC and 6.64% CTR blend Google and Microsoft campaigns, with roughly 15%-20% of the budget going to Microsoft. That’s useful context, but not a clean Bing number.\u003C/p>\u003Ch3>Is Bing Ads cheaper than Google Ads?\u003C/h3>\u003Cp>In \u003Ca href=\"https://brightbid.com/blog/google-ads-vs-bing-ads-cpc-data/\" target=\"_blank\" rel=\"noopener noreferrer\">BrightBid’s current B2B comparison\u003C/a>, yes.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Metric\u003C/th>\u003Cth>Bing Ads\u003C/th>\u003Cth>Google Ads\u003C/th>\u003Cth>What’s the difference?\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Average click-through rate\u003C/td>\u003Ctd>3.10%\u003C/td>\u003Ctd>3.25%\u003C/td>\u003Ctd>Google is higher by 0.15 percentage points.\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Average cost-per-click\u003C/td>\u003Ctd>$1.45\u003C/td>\u003Ctd>$2.85\u003C/td>\u003Ctd>Bing is 49% cheaper.\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Average conversion rate\u003C/td>\u003Ctd>3.50%\u003C/td>\u003Ctd>4.10%\u003C/td>\u003Ctd>Google is higher by 0.60 percentage points.\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Average cost per acquisition\u003C/td>\u003Ctd>$38.50\u003C/td>\u003Ctd>$48.00\u003C/td>\u003Ctd>Bing is 20% cheaper.\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/bing_ads_vs_google_ads_benchmarks_2026_fa729ef519.png\" alt=\"bing-ads-vs-google-ads-benchmarks-2026.png\" width=\"2160\" height=\"1026\">\u003C/p>\u003Cp>Google won the engagement and conversion-rate columns, but only narrowly. Bing’s cheaper auction more than covered the gap, leaving it with a 20% lower acquisition cost.\u003C/p>\u003Cp>\u003Ca href=\"https://www.lionheartsearch.com/paid-search-ads-blog/microsoft-ads-vs-google-ads-an-honest-comparison-for-2026\">Lionheart’s 2026 agency estimates\u003C/a> land in much the same place, at approximately $1.54 per click on Microsoft Ads versus $2.96 on Google. The agency estimates that Microsoft CPCs run 33%-60% lower for comparable keywords.\u003C/p>\u003Cp>The answer, then, is not that Bing is always cheaper; it’s that the best current side-by-side data gives you good reason to test whether it’s cheaper for the same searches in your \u003Ci>own\u003C/i> account.\u003C/p>\u003Ch3>Bing Ads CPC benchmarks\u003C/h3>\u003Cp>\u003Cstrong>A practical 2026 \u003C/strong>\u003Ca href=\"https://whatagraph.com/bing-ads-dashboard-reports\">\u003Cstrong>Bing Ads\u003C/strong>\u003C/a>\u003Cstrong> CPC benchmark is roughly $1.45 to $1.54 in the two current agency datasets available.\u003C/strong> BrightBid reports $1.45 across its B2B clients.\u003C/p>\u003Cp>But industry, device, and competition can move that figure quickly. For instance, Lionheart estimates that legal keywords costing $8-$14 on Google may cost $5-$9 on Microsoft.\u003C/p>\u003Cp>Why is the auction cheaper at all? Because it's emptier; agencies put Microsoft's share of typical search budgets at around 6%, and both Lionheart and BrightBid, independently, recommend allocating 10%-25% of search spend to it.\u003C/p>\u003Cp>Microsoft also has a specific B2B advantage. You can \u003Ca href=\"https://help.ads.microsoft.com/apex/index/3/en/56905\">use LinkedIn profile data\u003C/a> to adjust bids by company, industry, or job function, and it lets you bid differently when Microsoft recognizes someone in the group.\u003C/p>\u003Cp>That's search-priced clicks for audiences that cost $11.04 apiece on LinkedIn itself, per ZenABM's data earlier in this guide. The trade-off is device. \u003Cstrong>Bing's audience lives overwhelmingly on desktop, so mobile-heavy categories should stay Google-weighted.\u003C/strong>\u003C/p>\u003Cp>Google and Bing are easiest to compare while they’re still in a table. Once the campaigns are live, the numbers retreat to separate dashboards.\u003C/p>\u003Cp>A blended CPC must divide total Google and Microsoft spend by their combined clicks, while a blended conversion rate must divide combined conversions by combined clicks.\u003C/p>\u003Cp>Whatagraph’s Source Groups can bring \u003Ca href=\"https://whatagraph.com/bing-ads-dashboard-reports#:~:text=Once%20you%20create,our%20marketing%20dashboards!\" target=\"_blank\" rel=\"noopener noreferrer\">Google Ads and Microsoft Advertising accounts into one cross-channel view\u003C/a> and aggregate the metrics they share. When campaign dimensions or fields need to be matched more deliberately, a Blended Source can merge them into one structured dataset.\u003C/p>\u003Ch3>Bing Ads CTR benchmarks\u003C/h3>\u003Cp>The most defensible current figure here is BrightBid’s 3.10% CTR for Microsoft Ads, compared with 3.25% for Google in the same B2B dataset.\u003C/p>\u003Cp>You’ll also see 2.83% quoted as the average Bing Ads CTR. That number comes from WordStream’s platform-specific study \u003Ca href=\"https://www.wordstream.com/blog/ws/2017/11/06/bing-ads-performance-benchmarks\">published in 2017\u003C/a>. That’s useful historical context, but it’s not a 2026 benchmark.\u003C/p>\u003Ch2>TikTok Ads benchmarks for 2026\u003C/h2>\u003Cp>\u003Ca href=\"https://www.triplewhale.com/blog/tiktok-benchmarks\">\u003Cstrong>Triple Whale’s full-year 2025 ecommerce data\u003C/strong>\u003C/a> \u003Cstrong>puts TikTok at a 1.77% CTR, $13.26 CPM, 2.01% conversion rate, $32.74 CPA, and 2.21 ROAS.\u003C/strong>\u003C/p>\u003Cp>\u003Ca href=\"https://www.wordstream.com/blog/tiktok-ads-costnoopener\">WordStream’s broader 2026 cost guide\u003C/a> offers directional ranges instead: $0.30 to $1.50 per click, $4 to $10 per 1,000 impressions, and $0.01 to $0.07 per video view.\u003C/p>\u003Ch3>Which KPIs should you track for TikTok advertising?\u003C/h3>\u003Cp>TikTok’s \u003Ca href=\"https://ads.tiktok.com/help/article/all-metrics?lang=en\">reporting glossary\u003C/a> organizes creative performance around 2-second video views, 6-second views, completion thresholds at 25%/50%/75%/100%, and average play time.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>KPI\u003C/th>\u003Cth>The question it answers\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Two-second video views\u003C/td>\u003Ctd>Did the opening frame, line, or visual stop the scroll?\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Six-second video views\u003C/td>\u003Ctd>Did viewers stay beyond the initial hook?\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Views at 25%, 50%, 75%, and 100%\u003C/td>\u003Ctd>At what point did viewers begin to leave?\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Average play time\u003C/td>\u003Ctd>How long did the average viewer keep watching?\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CTR and CPC\u003C/td>\u003Ctd>Did that attention produce site traffic, and what did each click cost?\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CVR and CPA\u003C/td>\u003Ctd>Did those clicks convert, and at what cost?\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>ROAS\u003C/td>\u003Ctd>Did the attributed revenue justify the ad spend?\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Cstrong>Note that hook rate and hold rate aren't native TikTok metrics.\u003C/strong> TikTok Ads Manager gives you the inputs, including 2-second views, 6-second views, and completion checkpoints, and then you build the ratios yourself. That means every hook rate you've ever been shown was somebody else’s calculation.\u003C/p>\u003Cp>But TikTok’s standard six-second view can \u003Ci>also\u003C/i> count:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e539d11b098d62f49ab39af6ddf6552f3\">A video shorter than six seconds that was completed.\u003C/li>\u003Cli data-list-item-id=\"e59fa2e20df90aeea69a44c185e60919f\">An engagement during the first six seconds.\u003C/li>\u003C/ul>\u003Cp>The hook rate is often calculated as 2-second video views divided by impressions. \u003Ca href=\"https://ads.tiktok.com/help/article/video-play\">TikTok counts a 2-second view\u003C/a> when the video plays at least two seconds within a single impression, replays excluded, so the ratio reads cleanly as a scroll-stop test.\u003C/p>\u003Cp>But the hold rate is where reports diverge. While some teams divide 6-second views by 2-second views, others divide views-at-25%-completion by 2-second views.\u003C/p>\u003Cp>TikTok publishes the definitions, but not a credible all-industry benchmark for hook or hold rate. For those derived KPIs, your own rolling median, segmented by objective, audience, and video length, is the more defensible comparison.\u003C/p>\u003Ch3>TikTok cost and conversion benchmarks\u003C/h3>\u003Cp>Triple Whale’s 2025 ecommerce data shows TikTok becoming better at generating clicks and less efficient at turning them into revenue:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Metric\u003C/th>\u003Cth>2025 benchmark\u003C/th>\u003Cth>Year-over-year change\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>CTR\u003C/td>\u003Ctd>1.77%\u003C/td>\u003Ctd>+13.74%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CPM\u003C/td>\u003Ctd>$13.26\u003C/td>\u003Ctd>+16.00%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Conversion rate\u003C/td>\u003Ctd>2.01%\u003C/td>\u003Ctd>–6.20%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CPA\u003C/td>\u003Ctd>$32.74\u003C/td>\u003Ctd>+8.64%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>ROAS\u003C/td>\u003Ctd>2.21\u003C/td>\u003Ctd>–5.70%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>AOV\u003C/td>\u003Ctd>$74.12\u003C/td>\u003Ctd>+2.68%\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>More people clicked, but a smaller share converted. Where reach became more expensive, CPA rose, and ROAS fell.\u003C/p>\u003Cp>That’s also why a 2.21 ROAS shouldn’t be read as TikTok’s passing grade. The number is the top-line result for ecommerce brands in this particular dataset. Whether it works for you depends on margin, customer lifetime value, returns, and fees.\u003C/p>\u003Ch3>TikTok Ads benchmarks by industry\u003C/h3>\u003Cp>Triple Whale presents the industry figures as medians. The top-line figures use a different aggregate cut, so the vertical rows will not necessarily reconcile with the overall benchmark:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Industry\u003C/th>\u003Cth>CTR\u003C/th>\u003Cth>CPM\u003C/th>\u003Cth>CVR\u003C/th>\u003Cth>CPA\u003C/th>\u003Cth>ROAS\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Apparel and accessories\u003C/td>\u003Ctd>0.69%\u003C/td>\u003Ctd>$4.24\u003C/td>\u003Ctd>2.37%\u003C/td>\u003Ctd>$21.85\u003C/td>\u003Ctd>2.49\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Beauty\u003C/td>\u003Ctd>0.58%\u003C/td>\u003Ctd>$5.28\u003C/td>\u003Ctd>2.19%\u003C/td>\u003Ctd>$18.82\u003C/td>\u003Ctd>0.74\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Home and garden\u003C/td>\u003Ctd>0.68%\u003C/td>\u003Ctd>$5.69\u003C/td>\u003Ctd>2.42%\u003C/td>\u003Ctd>$21.36\u003C/td>\u003Ctd>1.97\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Food and beverage\u003C/td>\u003Ctd>0.58%\u003C/td>\u003Ctd>$6.33\u003C/td>\u003Ctd>2.17%\u003C/td>\u003Ctd>$19.84\u003C/td>\u003Ctd>0.49\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Toys, art, and collectibles\u003C/td>\u003Ctd>0.58%\u003C/td>\u003Ctd>$4.56\u003C/td>\u003Ctd>2.38%\u003C/td>\u003Ctd>$20.94\u003C/td>\u003Ctd>1.55\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Sports and outdoors\u003C/td>\u003Ctd>0.52%\u003C/td>\u003Ctd>$3.79\u003C/td>\u003Ctd>1.49%\u003C/td>\u003Ctd>$19.83\u003C/td>\u003Ctd>1.39\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Electronics\u003C/td>\u003Ctd>0.73%\u003C/td>\u003Ctd>$5.17\u003C/td>\u003Ctd>1.85%\u003C/td>\u003Ctd>$31.25\u003C/td>\u003Ctd>1.68\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Health and wellness\u003C/td>\u003Ctd>0.57%\u003C/td>\u003Ctd>$5.34\u003C/td>\u003Ctd>1.68%\u003C/td>\u003Ctd>$16.87\u003C/td>\u003Ctd>0.72\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Pets and animals\u003C/td>\u003Ctd>0.49%\u003C/td>\u003Ctd>$5.21\u003C/td>\u003Ctd>1.91%\u003C/td>\u003Ctd>$13.46\u003C/td>\u003Ctd>0.08\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Lifestyle and boutique\u003C/td>\u003Ctd>0.57%\u003C/td>\u003Ctd>$4.25\u003C/td>\u003Ctd>2.16%\u003C/td>\u003Ctd>$25.43\u003C/td>\u003Ctd>1.88\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2160/1578;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/tiktok_ads_industry_benchmarks_2026_1c953c113a.png\" alt=\"tiktok-ads-industry-benchmarks-2026.png\" width=\"2160\" height=\"1578\">\u003C/figure>\u003Cp>Once again, the columns refuse to elect one winner. Where electronics has the highest CTR but also the highest CPA, home and garden leads on conversion rate; while apparel and accessories produces the strongest ROAS.\u003C/p>\u003Cp>TikTok introduces one final reporting problem. The platform’s attention metrics don’t translate neatly to the rest of paid social. If you put them all under video views, your cross-channel chart then measures several different achievements.\u003C/p>\u003Cp>Whatagraph’s \u003Ca href=\"https://help.whatagraph.com/en/articles/13171977-how-to-configure-value-types-and-aggregation-for-custom-metrics\">Custom Metrics let you define\u003C/a> TikTok hook rate or hold rate once from the underlying metrics and keep the formula consistent across reports.\u003C/p>\u003Cp>\u003Cimg src=\"data:image/png;base64,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\" alt=\"\" width=\"426\" height=\"380\">\u003C/p>\u003Cp>You can also standardize the names shown across sources while preserving what each platform measures. The \u003Ca href=\"https://whatagraph.com/blog/articles/cross-channel-marketing-report\">cross-channel dashboard\u003C/a> becomes easier to read without pretending that a TikTok two-second view and another platform’s video view are the same event.\u003C/p>\u003Ch2>Pinterest Ads benchmarks for 2026\u003C/h2>\u003Cp>\u003Ca href=\"https://www.webfx.com/blog/social-media/pinterest-marketing-benchmarks/\">WebFX’s latest U.S. campaign data\u003C/a> combine WebFX’s internal campaign performance with third-party research and represent median results from hundreds of active U.S. campaigns during 2024 and 2025:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Metric\u003C/th>\u003Cth>Pinterest Ads benchmark\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Click-through rate\u003C/td>\u003Ctd>0.15%-0.25%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Cost per click\u003C/td>\u003Ctd>$0.50-$1.50\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Cost per engagement\u003C/td>\u003Ctd>$0.10-$0.30\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Conversion rate\u003C/td>\u003Ctd>2%-4%\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>\u003Ca href=\"https://help.pinterest.com/en/business/article/pinterest-description-of-methodology\">Pinterest measures\u003C/a> two related actions:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"efa9b4d69836125e81e7e6add4cdcba02\">A Pin click is an in-unit interaction that can lead to content on or off Pinterest.\u003C/li>\u003Cli data-list-item-id=\"eebc56883b27451a81c5db39860ca0e5b\">An outbound click redirects the user to another web destination.\u003C/li>\u003C/ul>\u003Cp>Pinterest also charges advertisers for Pin clicks rather than outbound clicks. A low CPC can therefore describe inexpensive interaction with the Pin without necessarily describing equally inexpensive website traffic.\u003C/p>\u003Cp>\u003Cstrong>A practical Pinterest Ads CPC benchmark is $0.50-$1.50 based on WebFX’s campaign-performance dataset.\u003C/strong> But its \u003Ca href=\"https://www.webfx.com/social-media/pricing/how-much-does-pinterest-advertising-cost/\">separate survey of 270 marketers\u003C/a> produced lower self-reported costs:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Reported cost\u003C/th>\u003Cth>Share of marketers\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>CPC of $0.20 or less\u003C/td>\u003Ctd>43%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CPM of $1.50 or less\u003C/td>\u003Ctd>52%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Cost per conversion of $8 or less\u003C/td>\u003Ctd>66%\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>These figures answer a different question. The campaign benchmark summarizes observed performance across campaigns; the survey records the ranges marketers said \u003Ci>they\u003C/i> paid.\u003C/p>\u003Cp>The CPC distribution is also wide. Around 11% of respondents reported paying more than $3 per click, while another 26% paid no more than 10¢. Your industry, targeting, placement, bid strategy, and the type of click being counted can move the result considerably.\u003C/p>\u003Cp>WebFX places the typical Promoted Pin conversion rate at 2%-4%, rising to 5%-8% for luxury and home goods campaigns.\u003C/p>\u003Cp>But a Pinterest conversion rate depends on more than how many people bought. \u003Ca href=\"https://help.pinterest.com/en/business/article/conversions-campaigns\">Pinterest lets advertisers\u003C/a> use one-, seven-, or 30-day post-click and post-view lookback windows. A longer window can capture purchases made after someone discovered or saved a product, but it may also give Pinterest credit for more conversions than a shorter last-click report does.\u003C/p>\u003Cp>So compare conversion rates only when the reports share:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e6ae08165a08b0a4a8b9e9c4996a562a8\">The same conversion event.\u003C/li>\u003Cli data-list-item-id=\"eea0ee2a398b6077a6015a0b07298e20e\">The same click and view windows.\u003C/li>\u003Cli data-list-item-id=\"efec43dff433d91028e03bdd7023ed28c\">The same attribution model.\u003C/li>\u003Cli data-list-item-id=\"e41ce09fba0466273f6a95485f8eb7e67\">The same treatment of new and returning customers.\u003C/li>\u003C/ul>\u003Ch2>Snapchat Ads benchmarks for 2026\u003C/h2>\u003Cp>\u003Ca href=\"https://adliftr.com/blog/snapchat-ads-cost-benchmarks-2026\">\u003Cstrong>AdLiftr’s early-2026 data\u003C/strong>\u003C/a> \u003Cstrong>puts the median Snapchat Ad at a 1.04% CTR and $0.84 CPC.\u003C/strong> For DTC ecommerce campaigns, the median cost to acquire a first-time purchaser was $23.40.\u003C/p>\u003Cp>The dataset covers 2,431 campaigns from 412 advertisers that spent a combined $11.4 million between February 1 and May 28, 2026.\u003C/p>\u003Cp>While this is sparkling clean methodology, remember that this is still \u003Ci>one\u003C/i> vendor’s customer base. DTC ecommerce made up 38% of the advertisers, mobile apps another 22%, and 58% of the campaigns ran in the U.S.\u003C/p>\u003Cp>So treat the results as a current mid-market reference.\u003C/p>\u003Ch3>Snapchat Ads CPC and CTR benchmarks\u003C/h3>\u003Cp>Across all objectives, AdLiftr recorded a $0.84 median CPC and 1.04% median CTR. While traffic campaigns bought cheaper clicks, conversion campaigns paid more for access to people the system considered likely to act.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Metric\u003C/th>\u003Cth>Median\u003C/th>\u003Cth>25th-75th percentile\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>CPC across all objectives\u003C/td>\u003Ctd>$0.84\u003C/td>\u003Ctd>$0.51-$1.34\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CPC for traffic campaigns\u003C/td>\u003Ctd>$0.71\u003C/td>\u003Ctd>$0.43-$1.12\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CPC for conversion campaigns\u003C/td>\u003Ctd>$1.18\u003C/td>\u003Ctd>$0.72-$1.94\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CTR across all objectives\u003C/td>\u003Ctd>1.04%\u003C/td>\u003Ctd>0.61%-1.69%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CTR for Spotlight placements\u003C/td>\u003Ctd>1.36%\u003C/td>\u003Ctd>0.83%-2.18%\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CTR for Story Ads\u003C/td>\u003Ctd>0.94%\u003C/td>\u003Ctd>0.55%-1.51%\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Spotlight produced the highest CTR in this dataset, while Stories accounted for the largest share of impressions. A campaign can therefore move above or below the overall 1.04% benchmark because its inventory mix changed, even when the creative itself did not.\u003C/p>\u003Ch3>Snapchat Ads CPM benchmarks\u003C/h3>\u003Cp>In AdLiftr’s dataset, CPMs were substantially higher for lower-funnel objectives:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Campaign objective\u003C/th>\u003Cth>Median CPM\u003C/th>\u003Cth>25th-75th percentile\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Awareness\u003C/td>\u003Ctd>$5.84\u003C/td>\u003Ctd>$3.20-$9.40\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Engagement\u003C/td>\u003Ctd>$9.10\u003C/td>\u003Ctd>$5.40-$13.60\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Traffic\u003C/td>\u003Ctd>$11.20\u003C/td>\u003Ctd>$6.80-$16.90\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Catalog sales\u003C/td>\u003Ctd>$19.40\u003C/td>\u003Ctd>$11.20-$28.90\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>App installs\u003C/td>\u003Ctd>$23.40\u003C/td>\u003Ctd>$14.90-$35.20\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Ca href=\"https://whatagraph.com/blog/articles/ppc-lead-generation\">Lead generation\u003C/a>\u003C/td>\u003Ctd>$24.80\u003C/td>\u003Ctd>$15.10-$39.40\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Conversions and purchases\u003C/td>\u003Ctd>$27.10\u003C/td>\u003Ctd>$17.40-$41.80\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>CPMs for awareness inventory were less than one-quarter of those for conversions. But that does \u003Ci>not\u003C/i> make it four times more efficient. The awareness campaign is buying exposure, while the conversion campaign asks Snapchat to find people likely to complete a much rarer action.\u003C/p>\u003Ch3>Snapchat Ads CPA benchmarks by industry\u003C/h3>\u003Cp>AdLiftr reports the following median costs for a first purchase, install, or lead. Those outcomes aren’t interchangeable, so the table below names what each number buys:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Industry\u003C/th>\u003Cth>Measured outcome\u003C/th>\u003Cth>Median cost\u003C/th>\u003Cth>25th-75th percentile\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>DTC apparel and accessories\u003C/td>\u003Ctd>First-time purchase\u003C/td>\u003Ctd>$19.80\u003C/td>\u003Ctd>$12.40-$32.10\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>DTC beauty and cosmetics\u003C/td>\u003Ctd>First-time purchase\u003C/td>\u003Ctd>$23.40\u003C/td>\u003Ctd>$14.20-$34.80\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>DTC food and beverage\u003C/td>\u003Ctd>First-time purchase\u003C/td>\u003Ctd>$28.90\u003C/td>\u003Ctd>$17.60-$44.20\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Mobile gaming apps\u003C/td>\u003Ctd>Install\u003C/td>\u003Ctd>$4.70\u003C/td>\u003Ctd>$2.10-$9.40\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Mobile utility apps\u003C/td>\u003Ctd>Install\u003C/td>\u003Ctd>$8.30\u003C/td>\u003Ctd>$3.80-$16.20\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Fintech and banking apps\u003C/td>\u003Ctd>Install\u003C/td>\u003Ctd>$34.10\u003C/td>\u003Ctd>$19.40-$58.70\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Local services\u003C/td>\u003Ctd>Lead\u003C/td>\u003Ctd>$42.80\u003C/td>\u003Ctd>$22.10-$71.30\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>B2B SaaS\u003C/td>\u003Ctd>Lead\u003C/td>\u003Ctd>$58.40\u003C/td>\u003Ctd>$31.20-$98.40\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>The apparel category produced the lowest ecommerce CPA, while B2B SaaS had the highest cost per result in the table.\u003C/p>\u003Cp>But a $4.70 app install isn’t automatically better than a $19.80 purchase, and a $58.40 B2B lead may be perfectly workable when it turns into a high-value contract. The outcome and downstream value have to remain attached to the cost.\u003C/p>\u003Ch2>Before you benchmark anything…\u003C/h2>\u003Cp>You need one CPL, one CPC, one CPA, one CPM, one CTR, one CVR, and one ROAS.\u003C/p>\u003Cp>These need to be defined once, that means the same thing in every report they walk into. \u003Ca href=\"https://www.google.com/aclk?sa=L&pf=1&ai=DChsSEwi1iY7Vn_2VAxX_gnwGHd4dE5MYACICCAEQABoCd3M&co=1&ase=2&gclid=CjwKCAjwj7HTBhBiEiwA8s35Osr7ych-7jyetvwvAveGz5dgM0GKXS3DzdXgRphvbKu2BknF0mUh4hoC9tUQAvD_BwE&cce=2&category=acrcp_v1_32&sig=AOD64_3cxKlJ0qutVViCN8NI4DpvtwhOLw&q&nis=4&adurl=https://www.maatwerkonline.nl/?utm_source%3Dgoogle%26utm_medium%3Dcpc%26utm_campaign%3D184705102%26utm_content%3D8699988742%26utm_term%3Dmaatwerk%2520online%26utm_id%3D184705102%26gad_source%3D1%26gad_campaignid%3D184705102%26gbraid%3D0AAAAADoc0OpYJh26HU4SbPw_IyMpkX4Ag%26gclid%3DCjwKCAjwj7HTBhBiEiwA8s35Osr7ych-7jyetvwvAveGz5dgM0GKXS3DzdXgRphvbKu2BknF0mUh4hoC9tUQAvD_BwE&ved=2ahUKEwigvPnUn_2VAxWEAPsDHTX7Er0Q0Qx6BAgLEAE\">Maatwerk Online\u003C/a> runs a hundred clients that way, and gets back a hundred hours a month; \"\u003Ca href=\"https://whatagraph.com/case-studies/maatwerk-online\">pure profit\u003C/a>,\" in the co-founder's words.\u003C/p>\u003Cp>And just as importantly, Maatwerk Online’s specialists spend less time assembling reports and more time working out what the numbers mean.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/U3zODZd0wdY?si=3-cP_KbubVv_thX3\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/U3zODZd0wdY\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>The benchmarks tell you what normal looks like for 2026. But to find out what true looks like for you, take \u003Ca href=\"https://live.whatagraph.com/auth/register\" target=\"_blank\" rel=\"noopener noreferrer\">Whatagraph for a spin\u003C/a> for 14 days.\u003C/p>","2026-08-05T08:43:47.556Z","2026-08-06T20:42:47.902Z","2026-08-06T20:42:48.040Z","2026-08-05","sjdbg6lnnp30le0vl6q4f3f6",{"id":825,"name":826,"alternativeText":33,"caption":33,"width":702,"height":703,"formats":827,"hash":835,"ext":384,"mime":385,"size":836,"url":837,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":838,"updatedAt":838,"documentId":839,"publishedAt":838,"focalPoint":33},17445,"PPC benchmarks - Whatagraph.png",{"thumbnail":828},{"ext":384,"url":829,"etag":830,"hash":831,"mime":385,"name":832,"path":33,"size":833,"width":575,"height":576,"sizeInBytes":834},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_PPC_benchmarks_Whatagraph_c5bd5ad58f.png","5b308ce8780fe4b80772172f4662a502","thumbnail_PPC_benchmarks_Whatagraph_c5bd5ad58f","thumbnail_PPC benchmarks - Whatagraph.png",38.44,38440,"PPC_benchmarks_Whatagraph_c5bd5ad58f",2530.66,"https://s3.us-east-2.amazonaws.com/whatagraph.com/PPC_benchmarks_Whatagraph_c5bd5ad58f.png","2026-08-05T16:10:58.700Z","oqjp6fujbhd2r7hlbgatufcf",{"id":585,"name":586,"about":587,"email":588,"createdAt":589,"updatedAt":590,"publishedAt":591,"slug":592,"linkedin_url":593,"documentId":594},{"id":842,"title":843,"slug":844,"summary":845,"body":846,"read_time":23,"createdAt":847,"updatedAt":848,"publishedAt":849,"errors":33,"table_of_contents":34,"dateReorder":850,"documentId":851,"cover_image":852,"author":868,"article_category":869},2911,"The Best MCPs for Marketing in 2026 for Cross-Channel Analysis","mcp-for-marketing","\u003Cp>An MCP for marketing lets you connect your marketing data straight to AI agents and LLMs like Claude, and “talk to” your data in one place. \u003C/p>\u003Cp>But not all MCPs are created equal.\u003C/p>\u003Cp>In this article, we dive deep into three different types of MCPs for marketing - single-platforms, stitched connectors, and a governed data layer - and a selection of the best MCPs for each. \u003C/p>","\u003Cp>You're running Google Ads, Meta, LinkedIn, maybe TikTok, with analytics in GA4 and your leads sitting in a CRM.\u003C/p>\u003Cp>Every week, someone (your client or your leadership) wants to know how things are going:\u003C/p>\u003Cp>So you go to do the thing everyone's talking about: connect your channels to Claude and get back answers to just share with your client or leadership.\u003C/p>\u003Cp>Here's the thing though - it’s easy to connect single channels to Claude, but it gets tricker when you want to connect multiple platforms.\u003C/p>\u003Cp>You could build your own cross-channel MCP, but it's time-consuming and very technical. And whenever API changes for an ad platform (and they change a lot), you need to update and maintain that system, which can easily become a huge task of its own. \u003C/p>\u003Cp>We've got you covered.\u003C/p>\u003Cp>This is a guide to the best MCP servers for marketing (the best MCP for marketers, however you search it). \u003C/p>\u003Cp>We'll walk through the ones worth knowing in 2026, sorted into three different types - and which one to choose to get accurate cross-channel answers you can share with your clients or leadership.\u003C/p>\u003Ch2>What is MCP for marketing, exactly?\u003C/h2>\u003Cp>MCP stands for Model Context Protocol. Anthropic introduced it in late 2024, and the name is pretty literal: it gives an AI model context, through a protocol.\u003C/p>\u003Cp>\u003Ca href=\"https://www.linkedin.com/in/arturaslazejevas/\" target=\"_blank\" rel=\"noopener noreferrer\">Arturas Lazejevas\u003C/a>, CTPO of Whatagraph, puts it in plain terms:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>Think of MCP as a door that LLMs like Claude or ChatGPT can use to access any of your systems that you connect (through the MCP).\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>So instead of exporting a CSV from Google Ads, pasting it into Claude, and asking it to make sense of the numbers, Claude walks through the door and reads them itself.\u003C/p>\u003Cp>But not all marketing MCPs are built the same. We broke down three main types available in the market right now. \u003C/p>\u003Ch3>3 different types of marketing MCPs (one will give you the most accurate answers) \u003C/h3>\u003Cp>When a vendor says \"we have an MCP,\" that can mean three completely different things. Here’s a short summary: \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e92ee29e0f64d53bc02867344ce652a8c\">\u003Cstrong>Single platform MCP: \u003C/strong>this let you connect to ONE platform only, e.g. Google Ads or Google Search Console\u003C/li>\u003Cli data-list-item-id=\"ea70ae087523304f462771b02ae6a566c\">\u003Cstrong>Stitched connector MCP:\u003C/strong> this “stitches” together different platforms, e.g. Google Ads, Meta Ads, LinkedIn Ads, in one MCP \u003C/li>\u003Cli data-list-item-id=\"ec69db34aec5c70aa1722eb502d72446d\">\u003Cstrong>MCP over a governed data layer:\u003C/strong> this is where you bring in data from ALL the marketing platforms you’re using, standardize metrics and dimensions, and then query this “governed” data with Claude or ChatGPT. \u003C/li>\u003C/ul>\u003Cp>Here’s a longer summary:\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/3_different_types_of_Google_Ads_MC_Ps_837634fe7f.png\" alt=\"3 Different Types Of Google Ads Mcps - A comparison chart of three types of platforms.\" width=\"3240\" height=\"4050\">\u003C/p>\u003Cp>In this article, we’ll give you the best MCPs for each type of MCP. \u003C/p>\u003Ch2>Best all-in-one MCP for marketing with a cross-channel governed data layer\u003C/h2>\u003Cp>Most marketers aren't using one channel in silo - you're running Google Ads alongside LinkedIn Ads, setting up tracking in Hubspot and Google Analytics, and managing email campaigns on Mailchimp. \u003C/p>\u003Cp>How do you bring all this data together, standardize everything, and ask cross-channel questions in Claude? \u003C/p>\u003Cp>That’s where Whatagraph comes in. \u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/\">Whatagraph\u003C/a> is a marketing intelligence platform with one governed data layer for all your cross-channel marketing data. \u003C/p>\u003Cp>You bring data from \u003Ca href=\"https://whatagraph.com/integrations\">60+ marketing channels\u003C/a> into one place with native, stable integrations - and Whatagraph unifies them into a single data layer that powers your client reports, your internal dashboards, and your AI assistants. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Connect_data_sources_8e2e01d976.png\" alt=\"Connect data sources - Interface showing icons for various data source integrations.\" width=\"2160\" height=\"1428\">\u003C/p>\u003Cp>So when you query that data in Claude through Whatagraph's MCP, the answer comes from the same governed layer as your reports, not from raw channel APIs being stitched together on the fly.\u003C/p>\u003Cp>But what does “governed data” actually mean?\u003C/p>\u003Cp>It means the messy, slightly boring, but important work of making your data trustworthy is done once, up front, before LLMs and AI agents see the data. And most teams skip this step. \u003C/p>\u003Cp>This user in this \u003Ca href=\"https://www.reddit.com/r/mcp/comments/1r7uguz/ai_stack_for_marketing_analytics_with_mcp/\" target=\"_blank\" rel=\"noopener noreferrer\">AI marketing stack Reddit thread\u003C/a> sums it up best.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Reddit_MCP_for_marketing_fbc7d02d33.png\" alt=\"Reddit - MCP for marketing.png\" width=\"1846\" height=\"362\">In Whatagraph, that looks like this:\u003C/p>\u003Cp>\u003Cstrong>Create custom metrics. \u003C/strong>You define a metric once and it means the same thing everywhere. For example, a marketing efficiency ratio (revenue over total spend) calculated the same way across every client and channel, instead of Claude reinventing the formula each time you ask.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Custom_metrics_MCP_for_marketing_c906a8416a.png\" alt=\"Custom metrics - MCP for marketing.png\" width=\"3600\" height=\"3264\">\u003C/p>\u003Cp>\u003Cstrong>Create custom dimensions. \u003C/strong>When your campaign naming is inconsistent across channels, you can consolidate it here. So \"Brand,\" \"Brand_Exact,\" and \"01_Brand_Search\" all show up as \"Brand\" when Claude queries them, instead of three separate things that don't add up. With Whatagraph IQ, you just need to choose your channels and dimensions and ask AI to consolidate dimensions for you.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/3023;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/IQ_dimensions_MCP_for_marketing_5bf1425e84.png\" alt=\"IQ dimensions - MCP for marketing.png\" width=\"3600\" height=\"3023\">\u003C/figure>\u003Cp>\u003Cstrong>Blend cross-channel data. \u003C/strong>You merge channels that don't share the same report type or metric names into one virtual source. For example, blending GA4 and Google Ads on a shared key like date or campaign, so you can ask about traffic and spend together and get one coherent answer.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2274;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Blend_data_sources_MCP_for_marketing_d1dc9708dc.png\" alt=\"Blend data sources - MCP for marketing.png\" width=\"3600\" height=\"2274\">\u003C/figure>\u003Cp>\u003Cstrong>Create source groups.\u003C/strong> You aggregate similar channels (say Google Ads, Meta, and LinkedIn) into a single unified source or multiple accounts from the same channel (e.g. Google Analytics 4 properties) so Claude can query in one go. This is the most powerful feature of Whatagraph that marketing agencies with dozens of clients and multi-location business love. \u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2138;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Source_groups_MCP_for_marketing_9c386b01c2.png\" alt=\"Source groups - MCP for marketing.png\" width=\"3600\" height=\"2138\">\u003C/figure>\u003Cp>\u003Cstrong>Set your currency settings.\u003C/strong> Whatagraph detects the original currency for each source and converts everything into one reporting currency, so a blended spend number isn't quietly mixing euros and dollars.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2400/3179;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Set_currency_MCP_for_marketing_5f4f9c4d1c.png\" alt=\"Set currency - MCP for marketing.png\" width=\"2400\" height=\"3179\">\u003C/figure>\u003Cp>\u003Cstrong>Organize into Spaces. \u003C/strong>You organize sources and reports into client folders, or folders by location, so Claude scopes its answers to the right client or region instead of searching across everything.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1920;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Set_up_Spaces_MCP_for_marketing_d85c6e4dcb.png\" alt=\"Set up Spaces - MCP for marketing.png\" width=\"3600\" height=\"1920\">\u003C/figure>\u003Cp>When all of that is defined before the query, Claude isn't reconciling anything on the fly. It's reading numbers that already agree with each other. Ask the same question on Monday and Friday and you get the same answer.\u003C/p>\u003Cp>\u003Ca href=\"https://www.linkedin.com/in/tanjastjepanovic/\" target=\"_blank\" rel=\"noopener noreferrer\">Tanja Keglić\u003C/a>, Performance Marketing Manager at \u003Ca href=\"https://whatagraph.com/case-studies/achtzehn-grad\">Achtzehn Grad\u003C/a>, puts the appeal well:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>The biggest reason we chose Whatagraph was because of its holistic approach to reporting. We can blend data from different channels and see in one view what's the performance and what needs to be changed.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>That \"one view\" is the whole point of the governed approach. The blending happens in the data model, not in the chat.\u003C/p>\u003Cp>And the payoff is time. The team at Maatwerk Online \u003Ca href=\"https://whatagraph.com/case-studies/maatwerk-online\">saves around 100 hours a month on reporting\u003C/a> since moving this work off manual pulls. That’s the time you can use to build relationships with your current clients, source new ones, and grow your agency.  \u003C/p>\u003Cp>Here's how \u003Ca href=\"https://www.linkedin.com/in/larsmaat/\">Lars Maat\u003C/a>, the agency's co-founder, describes it:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>Whatagraph saves time and energy for our marketing specialists. And the hours we're saving is just pure profit. We now have the time to focus on more strategic things that help both our agency and our clients grow.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/mcp\">Whatagraph’s MCP\u003C/a> takes minutes to set up - here’s the full guide and a video walkthrough.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/_72ej39xhn4?si=AAAVyrWLrEgH32eu\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/_72ej39xhn4\" style=\"position: absolute; width: 100%; height: 100%; top: 0; left: 0;\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\">\u003C/iframe>\u003C/div>\u003C/div>\u003C/figure>\u003Cp> \u003C/p>\u003Ch2>Best stitched connector MCPs\u003C/h2>\u003Cp>This is the most common type of MCPs going around on LinkedIn or Google. \u003C/p>\u003Cp>These MCP servers let you connect to a couple different platforms in one place, so you don’t need to build or use a different MCP for each channel. \u003C/p>\u003Cp>A few of them are genuinely excellent at what they do.\u003C/p>\u003Cp>But there's one catch that runs through the whole category - they consolidate the connection, not the definitions.\u003C/p>\u003Cp>Each platform's data still comes back the way that platform reports it. Google's \"conversions\" and Meta's \"conversions\" are still different things, currencies aren't reconciled, naming isn't standardized. So the second you ask for a blended number, Claude is the one stitching it together in the chat, every time. That's the \"math drifts\" row from the table.\u003C/p>\u003Cp>None of that makes these tools bad. It makes them great for fast, one-platform-at-a-time ad ops, and shakier for governed cross-channel reporting. Here's how the main ones stack up.\u003C/p>\u003Ch3>1. Markifact\u003C/h3>\u003Cp>\u003Cstrong>Best for:\u003C/strong> marketers who want one connector that reaches almost every platform and can actually make changes, not just read.\u003C/p>\u003Cp>\u003Ca href=\"https://www.markifact.com/mcp?via=adriaan\" target=\"_blank\" rel=\"noopener noreferrer\">Markifact\u003C/a> is the broadest connector out there. If your stack is sprawling and you want a single login that touches all of it, this is the most complete option.\u003C/p>\u003Cp>\u003Cstrong>How it works:\u003C/strong> you connect your platforms (Google Ads, Meta, TikTok, LinkedIn, GA4, Microsoft, Shopify, HubSpot, and a long list more) behind one OAuth flow. It's hosted, so there's no server to run, and it has full read and write access with a human approval step on every write before anything goes live.\u003C/p>\u003Cp>\u003Cstrong>The goods:\u003C/strong> the coverage is hard to beat, and the approval-on-every-write setup is a smart safety net if you're letting Claude actually change things. One connector, almost everything.\u003C/p>\u003Cp>\u003Cstrong>The catch:\u003C/strong> it's calling each platform's live API in real time, so what comes back is raw, platform-native numbers. Brilliant for execution, but it doesn't normalize anything before Claude sees it. Ask a blended question and you're back to Claude doing the math.\u003C/p>\u003Ch3>2. Blend AI\u003C/h3>\u003Cp>\u003Cstrong>Best for:\u003C/strong> performance marketers who live in paid media and want fast, day-to-day ad ops from the chat.\u003C/p>\u003Cp>\u003Ca href=\"https://blend-ai.com/\" target=\"_blank\" rel=\"noopener noreferrer\">Blend\u003C/a> is more focused than Markifact, and that focus is paid. Marketers running a lot of ad accounts seem to love it for the daily grind: shifting budget, launching campaigns, pulling quick performance breakdowns without opening five dashboards.\u003C/p>\u003Cp>\u003Cstrong>How it works:\u003C/strong> you connect Google, Meta, TikTok, Microsoft, and Pinterest with OAuth (about two minutes, no API keys), and you get full read and write across all of them. It holds partner status with the major ad platforms.\u003C/p>\u003Cp>\u003Cstrong>The goods: \u003C/strong>it's genuinely fast for optimization work, and the paid-media focus means it's deep where it counts. If your job is mostly \"act on one platform at a time, quickly,\" it's a strong pick.\u003C/p>\u003Cp>\u003Cstrong>The catch: \u003C/strong>same trade-off as the category. A \"blended ROAS across everything\" answer is still being assembled at query time, not pulled from a reconciled model. Great for acting, weaker for trusting a cross-channel total.\u003C/p>\u003Ch3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\" data-sourcepos=\"196:1-196:35;16909-16943\">3. Paid Media MCP (by Pau Ferrer)\u003C/h3>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"198:1-198:146;16945-17090\">\u003Cstrong>Best for:\u003C/strong> paid-media marketers who want an open-source, self-hosted option across Google, Meta, and TikTok, with normalized metrics baked in.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"200:1-200:291;17092-17382\">Built by digital marketer and marketing engineer \u003Ca href=\"https://www.linkedin.com/in/pau-ferrer/\" target=\"_blank\" rel=\"noopener noreferrer\">Pau Ferrer\u003C/a>, this \u003Ca href=\"https://github.com/Pauesome/Paid-Media-MCP\">open-source (MIT) server \u003C/a>is a more thoughtful take on the stitched-connector idea. It pulls live data from Google Ads, Meta, and TikTok, but unlike most of the tier, it normalizes every metric into a common shape before the data leaves the server.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"202:1-202:420;17384-17803\">\u003Cstrong>How it works:\u003C/strong> you self-host it (Node.js, connect it to Claude Desktop or Claude Code) and supply your own API credentials for each platform. It exposes 16 read-only tools, and normalizes spend, clicks, CTR, CPC, CPA, ROAS, and more into one shared vocabulary across all three platforms. On top of that sits an optional Claude layer of skills and subagents that run scored audits and a blended cross-channel summary.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"204:1-204:286;17805-18090\">\u003Cstrong>The goods:\u003C/strong> it's free, transparent (you can read exactly what it does), read-only by design, and the normalization plus the \"business analyst\" synthesis layer push it closer to a real cross-channel answer than most connectors get. A strong pick if you're technical and want control.\u003C/p>\u003Cp>\u003Cstrong>The catch:\u003C/strong> it's really technical. This is a developer tool, not a product you click to install, so you'd need an in-house engineer, or an implementation partner, to set it up and keep it running. It's also tuned specifically for Spanish (EU) advertisers, so its built-in benchmarks and compliance rules assume that market. Great if you have the engineering resources; a lot to take on if you don't.\u003C/p>\u003Ch3>4. Supermetrics and Coupler.io\u003C/h3>\u003Cp>\u003Cstrong>Best for:\u003C/strong> teams whose main job is getting numbers out fast, and who come from the reporting-and-data world rather than ad ops.\u003C/p>\u003Cp>Both of these tilt toward pulling data rather than pushing changes, which makes sense given where they come from.\u003C/p>\u003Cp>\u003Cstrong>How it works: \u003C/strong>Supermetrics has an MCP covering a big list of sources (Google Ads, Meta, LinkedIn, TikTok, GA4, HubSpot, Salesforce, Shopify, and more), giving your AI assistant direct access to live data without manual exports. Coupler.io does something similar, letting your AI query the consolidated datasets it imports from your sources.\u003C/p>\u003Cp>\u003Cstrong>The goods: \u003C/strong>wide coverage, no more CSV exports, and a familiar fit if you already use either for reporting. Good for ad-hoc \"why did CPA spike yesterday\" questions.\u003C/p>\u003Cp>\u003Cstrong>The catch:\u003C/strong> \"consolidated\" here means the connection lives in one place. It doesn't mean the metrics have been defined once and reconciled across channels. That's exactly the line between this type and the governed type above.\u003C/p>\u003Ch3>5. Pipeboard and Synter\u003C/h3>\u003Cp>\u003Cstrong>Best for:\u003C/strong> ad teams who want broad paid coverage, with Pipeboard the pick if source-available code and a free tier matter to you.\u003C/p>\u003Cp>Two more worth knowing if ads are your world.\u003C/p>\u003Cp>\u003Cstrong>How it works: \u003C/strong>Pipeboard gives you five ad platforms (Meta, Google, TikTok, Snap, Reddit) behind one OAuth, with 230+ tools and new campaigns paused by default, a nice safety touch. It's source-available with a free plan. Synter goes wider, around 14 platforms with full read and write, at roughly $199/month.\u003C/p>\u003Cp>\u003Cstrong>The goods: \u003C/strong>Pipeboard's paused-by-default creation and free tier make it low-risk to try, and the code being inspectable is a plus if that matters to your team. Synter's reach is the draw if you're on a lot of platforms at once.\u003C/p>\u003Cp>\u003Cstrong>The catch: \u003C/strong>both are connection-layer tools. Same trade-off as the rest of the tier: they get you to the data, they don't reconcile it.\u003C/p>\u003Ch3>6. OpenTabs\u003C/h3>\u003Cp>\u003Cstrong>Best for: \u003C/strong>reaching a tool that has no MCP at all, as a fallback rather than a foundation.\u003C/p>\u003Cp>\u003Ca href=\"https://github.com/opentabs-dev/opentabs\" target=\"_blank\" rel=\"noopener noreferrer\">OpenTabs\u003C/a> is the odd one out here, and it's worth knowing because people ask about it. It's not a marketing tool.\u003C/p>\u003Cp>\u003Cstrong>How it works: \u003C/strong>it's a source-available Chrome extension plus local MCP server that lets Claude act inside web apps you're already logged into, by calling the same internal APIs the app's own frontend uses. There are 90+ plugins across all kinds of services.\u003C/p>\u003Cp>\u003Cstrong>The goods:\u003C/strong> if a tool you rely on has no MCP, OpenTabs can often reach it through your browser session anyway. As a \"reach almost anything\" fallback, it's neat, and it runs locally.\u003C/p>\u003Cp>\u003Cstrong>The catch:\u003C/strong> it's general-purpose plumbing, not a marketing data layer. It can fetch and act, but it does nothing to unify or define your numbers. Fine as a last resort, not as your reporting foundation.\u003C/p>\u003Ch2>Best single platform MCPs\u003C/h2>\u003Cp>These are the servers built to do one platform, well. If your question lives entirely inside one channel (\"which Google Ads campaigns wasted budget last month\"), a single-platform MCP is the cheapest, most direct way to get it.\u003C/p>\u003Cp>There are a lot of them now, and quality varies wildly. Some are official, built and maintained by the platform itself, which makes them stable and safe to build on. Others are community-built, which can break when an API changes and sometimes ask you to paste in a personal access token (a real account-safety risk on ad platforms).\u003C/p>\u003Cp>Both are worth knowing, so they're split below: the official, vendor-built servers first, then the notable community ones. Each group is grouped by what it connects to.\u003C/p>\u003Ch3>Official MCP servers\u003C/h3>\u003Cp>\u003Cstrong>PPC and paid media platforms\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e721ca7ced361c4b62e4f9da0cfdd1b4b\">\u003Cstrong>Google Ads MCP. \u003C/strong>The Google Ads MCP server is Google's official, open-source, read-only one. Powerful for deep Google Ads questions (search terms, asset metrics, GAQL pulls), but the heaviest setup of the bunch: developer token, Google Cloud project, OAuth, runs locally rather than in the claude.ai web app.\u003C/li>\u003Cli data-list-item-id=\"e726b84fcb6dad5de2976d1155fe1fd14\">\u003Cstrong>Meta Ads MCP (Facebook Ads MCP).\u003C/strong> Meta's official hosted server launched April 2026 at a hosted endpoint, with near one-click Business OAuth, read and write, and new campaigns paused by default. The same Meta Ads MCP server handles Facebook Ads requests. Much easier to set up than Google's.\u003C/li>\u003Cli data-list-item-id=\"e62ee331d775380a3bc4d0db45861c3d7\">\u003Cstrong>TikTok Ads MCP. \u003C/strong>TikTok shipped its official Ads MCP server at TikTok World in May 2026, joining the other major ad platforms. Read and write against the TikTok Marketing API, with proper OAuth rather than pasted tokens.\u003C/li>\u003Cli data-list-item-id=\"e18a4f79f9ef9b4ca26a6c3c0104b9e74\">\u003Cstrong>Amazon Ads MCP.\u003C/strong> Amazon was early here, shipping an official server in open beta in February 2026. The pick for retail and ecommerce advertisers who want sponsored-products and campaign data in Claude.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Analytics and SEO\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e61cf30c51b37018d84dacee4471acf97\">\u003Cstrong>Google Analytics MCP (GA4 MCP). \u003C/strong>The Google Analytics MCP server is Google's official, read-only one. This GA4 MCP server covers standard reports, funnels, real-time data, and custom dimensions through a handful of tools. Developer-first, runs locally; easier hosted wrappers exist.\u003C/li>\u003Cli data-list-item-id=\"e6c7418cd8ad7bb71d4138b40c0fda57e\">\u003Cstrong>Ahrefs MCP.\u003C/strong> The Ahrefs MCP server is official, letting you query backlinks, keywords, and rankings data from your AI assistant. Read-only and credit-based, so it analyzes rather than acts. A strong SEO MCP option (people also search this as MCP for SEO) for off-page and competitive questions, if you already pay for Ahrefs.\u003C/li>\u003Cli data-list-item-id=\"e92975bd4c66dbb3c6b2bfdce60acfd76\">\u003Cstrong>Semrush MCP.\u003C/strong> Semrush ships an official remote MCP server covering keyword, traffic, and competitive data, and it shows up as a built-in connector inside ChatGPT. Read-only and metered like Ahrefs. Similar SEO MCP server use case, depending on which platform you already pay for.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>CRM and email\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e75f40788d8a64d94fdce1c8d9ac34882\">\u003Cstrong>HubSpot MCP.\u003C/strong> The HubSpot MCP server is official, in public beta, read and write, and free for customers. The natural pick for CRM and pipeline questions: deals, contacts, lifecycle stages, campaigns.\u003C/li>\u003Cli data-list-item-id=\"ea922f349d47d538c2fdb4166e1ef738f\">\u003Cstrong>Salesforce MCP. \u003C/strong>Salesforce shipped its official, first-party Marketing Cloud Engagement MCP server (now generally available), built for enterprise with scoped permissions and dry-run previews. The Salesforce MCP server is the enterprise CRM option, with the access controls to match.\u003C/li>\u003Cli data-list-item-id=\"e5511b7eb7e1a883fda31932e94812549\">\u003Cstrong>Klaviyo MCP.\u003C/strong> The Klaviyo MCP server is official, with read-only and write modes and around 25 tools covering campaigns, flows, segments, and metrics. Built for ecommerce email marketers, and free for Klaviyo customers.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Ecommerce\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e6110d36121425bbb0687443632901232\">\u003Cstrong>Shopify MCP. \u003C/strong>Every Shopify store has an official Shopify MCP server endpoint on by default, and Shopify open-sourced its AI Toolkit in April 2026. The catch worth knowing: the always-on storefront endpoint is built for commerce (catalog, cart, policies for AI shopping agents), not marketing analytics. Useful, just not the performance tool the name might suggest.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Data and warehouse\u003C/strong>\u003C/p>\u003Cp>These aren't marketing channels, but they earn a place here because a lot of marketing data ends up in a warehouse, and querying it directly is increasingly common.\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ef453c01c4a92092af52cc7b76e7dba63\">\u003Cstrong>BigQuery MCP. \u003C/strong>The BigQuery MCP server, official from Google, lets Claude run read-only SQL against your datasets. If your blended marketing data already lives there, this queries it directly.\u003C/li>\u003Cli data-list-item-id=\"e745e398d7bfcc98bf61a5196f4d0c0b9\">\u003Cstrong>Snowflake MCP. \u003C/strong>Snowflake has official MCP support for querying your warehouse in plain language. Same idea as the BigQuery MCP, different warehouse.\u003C/li>\u003C/ul>\u003Ch3>Community MCP servers worth knowing\u003C/h3>\u003Cp>Plenty of platforms don't have an official server yet, but the community has built solid ones. These can break when an API changes and some ask you to paste in an access token, so treat them with a little more caution, but they're real options if you need that channel today. Here's a quick run through, grouped by category.\u003C/p>\u003Cp>\u003Cstrong>PPC and paid media platforms\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e096dda1cec17db82adcc6285452e5119\">\u003Cstrong>LinkedIn Ads MCP. \u003C/strong>Community LinkedIn ads MCP servers cover campaign and account reporting. The pick for B2B teams querying LinkedIn paid performance.\u003C/li>\u003Cli data-list-item-id=\"ee2090d3b34b6233d8f0629e757546855\">\u003Cstrong>Pinterest Ads MCP.\u003C/strong> Community Pinterest MCP server options cover ad and pin performance. Niche, but real if Pinterest is a core channel.\u003C/li>\u003Cli data-list-item-id=\"e91f67b6ed250a0a5347bb722e9d2701d\">\u003Cstrong>Reddit Ads MCP. \u003C/strong>Community Reddit MCP server options cover Reddit data and, in some cases, Reddit Ads. Handy for community research as much as paid.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Analytics and SEO\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eee6c818b5ecc79d7166f16801e60a3e4\">\u003Cstrong>Google Search Console MCP. \u003C/strong>Community Google Search Console MCP server options are read-only by nature: clicks, impressions, CTR, average position by page or query, plus index status. A solid SEO MCP option, though setup leans technical.\u003C/li>\u003Cli data-list-item-id=\"e852e7924a8153412054a23adbd7e7064\">\u003Cstrong>SE Ranking MCP.\u003C/strong> Emerging SE Ranking MCP server options query keyword and rank-tracking data. Relevant if SE Ranking is your rank tracker.\u003C/li>\u003Cli data-list-item-id=\"e1674c81e5435463fbbd83a96d9fc1cbe\">\u003Cstrong>Adobe Analytics MCP. \u003C/strong>Community Adobe Analytics MCP server options suit enterprise teams on Adobe's stack rather than GA4. Early days, but it exists.\u003C/li>\u003Cli data-list-item-id=\"e4ee36a065c19dd1a7d1cce01929b2f74\">\u003Cstrong>AppsFlyer MCP. \u003C/strong>Community AppsFlyer MCP server options cover mobile attribution and app marketing data. The pick if app installs and in-app events are your world.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>CRM and email\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e07e23fb285078cfebfacc3e6f65ba3b7\">\u003Cstrong>Mailchimp MCP. \u003C/strong>Community Mailchimp MCP server options pull campaign and audience data (note: only Mailchimp's Transactional API has an official server). The SMB email counterpart to Klaviyo.\u003C/li>\u003Cli data-list-item-id=\"edd60d8478464ac708d623b4fe41e5ed1\">\u003Cstrong>ActiveCampaign MCP. \u003C/strong>Community ActiveCampaign MCP server options query automations and contact data. Niche but real for teams on that platform.\u003C/li>\u003Cli data-list-item-id=\"efe32d853bc6962e2df1258f28faf8985\">\u003Cstrong>GoHighLevel MCP.\u003C/strong> Community GoHighLevel MCP server options cover the agency-focused all-in-one. Relevant if you run client marketing through GoHighLevel.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Ecommerce\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ecf954d73463ff911447ca00427c4f995\">\u003Cstrong>WooCommerce MCP. \u003C/strong>Community WooCommerce MCP server options query store and order data. The WordPress-stack counterpart to Shopify.\u003C/li>\u003Cli data-list-item-id=\"ec60702eb8cce00231435421e0e440575\">\u003Cstrong>BigCommerce MCP.\u003C/strong> Community BigCommerce MCP server options cover catalog and order data. Niche, relevant if that's your platform.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Social and content\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e541ec182c515786bd45709db3ed11edd\">\u003Cstrong>LinkedIn MCP. \u003C/strong>Beyond the ads side, community LinkedIn MCP server options cover organic page and profile data: posts, engagement, follower metrics. The pick for B2B teams tracking organic social.\u003C/li>\u003Cli data-list-item-id=\"e69eabd058cc50fb9efd77f4ebe8cb150\">\u003Cstrong>YouTube MCP.\u003C/strong> Community YouTube MCP server options cover channel and video analytics. Good for content teams tracking YouTube.\u003C/li>\u003Cli data-list-item-id=\"e65ab165422d8f285bcbcf3d0bba5a1d6\">\u003Cstrong>Instagram MCP.\u003C/strong> Community Instagram MCP server options cover content and, in some cases, ad data. Often bundled with Meta's tooling given the shared backend.\u003C/li>\u003Cli data-list-item-id=\"e0330f8ef6cd45dcbe270a35d93895c9b\">\u003Cstrong>Reddit MCP.\u003C/strong> Community Reddit MCP server options cover posts, comments, and subreddit data. Good for social listening and trend research.\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Data\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e2a0a39d237d30de7d81e3727b64dbc8c\">\u003Cstrong>Google Sheets MCP. \u003C/strong>Community Google Sheets MCP server options (and Google's own tooling) let Claude read and write Sheets. The catch-all for data that lives in a spreadsheet rather than a platform.\u003C/li>\u003C/ul>\u003Ch3>Or connect all of these to Whatagraph instead\u003C/h3>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"309:1-309:190;27603-27792\">Most of the list above has one thing in common. You'd be wiring up, and then maintaining, a separate server for every channel, and you'd still be left doing the cross-channel math yourself.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"311:1-311:467;27794-28260\">Whatagraph brings all that into one platform. You can plug all of these channels (Google Ads, Meta, TikTok, LinkedIn, GA4, Search Console, HubSpot, Salesforce, Klaviyo, Shopify, and more) into Whatagraph through one-click integrations across \u003Ca href=\"https://whatagraph.com/integrations\">60+ marketing platforms\u003C/a>. \u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"311:1-311:467;27794-28260\">Then you define and govern that data once: set your currencies, define your metrics, blend your channels, consolidate your campaign names, organize everything into client or location folders.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"313:1-313:220;28262-28481\">After that, you query the whole thing in Claude or ChatGPT through \u003Ca href=\"https://whatagraph.com/mcp\">Whatagraph's MCP\u003C/a>. You paste one URL, no API keys, and your AI assistant reads from your governed data layer rather than from a dozen separate raw feeds.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"315:1-315:77;28483-28559\">A few reasons this ends up being the better option for most marketing teams:\u003C/p>\u003Cp>\u003Cstrong>✅ One connection, not a dozen.\u003C/strong> You connect and authorize once, instead of setting up, authenticating, and maintaining a separate MCP for every platform.\u003C/p>\u003Cp>\u003Cstrong>✅ The numbers actually match.\u003C/strong> Because the data is reconciled before Claude sees it, a blended cross-channel answer agrees with what's in your client reports. The same question gives the same answer every time.\u003C/p>\u003Cp>\u003Cstrong>✅ No technical setup per channel.\u003C/strong> No developer tokens, no Google Cloud projects, no local servers to babysit. The hard integration work is already handled.\u003C/p>\u003Cp>\u003Cstrong>✅ It scales to many clients and channels.\u003C/strong> Spaces keep each client or location separate, so Claude scopes its answers correctly instead of searching across everything at once.\u003C/p>\u003Cp>\u003Cstrong>✅ Your data stays read-only and secure.\u003C/strong> The MCP gives your AI assistant read-only access over an encrypted connection, so querying your data can't change it.\u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"323:1-323:344;29434-29777\">If your questions stay inside one platform, a single-platform MCP is perfectly fine. \u003C/p>\u003Cp class=\"font-claude-response-body break-words whitespace-normal\" data-sourcepos=\"323:1-323:344;29434-29777\">But if you run more than a couple of channels, or report to more than a couple of clients, connecting everything to a governed layer once is what turns Claude from a tool that gives confident-looking answers into one that gives answers you can actually send.\u003C/p>\u003Ch2>Which MCP for marketing is right for you?\u003C/h2>\u003Cp>The right one depends on how many channels you're working with, who's going to see the answers, and how much you trust them to be right. Here's the honest breakdown.\u003C/p>\u003Cp>\u003Cstrong>If you only ever need one platform at a time\u003C/strong>, a single-platform MCP is the simplest, cheapest option. Living mostly in Google Ads and just want to ask about Google Ads? The official Google Ads MCP does that well, and you don't need anything more complicated. Same for someone who only reports on HubSpot, or only on GA4. \u003C/p>\u003Cp>\u003Cstrong>If you mostly run paid media and want to act fast\u003C/strong>, a stitched connector MCP is probably your fit. Tools like Blend AI or Markifact let you check, adjust, and launch across several ad platforms from one chat, which is great for day-to-day optimization. Just know the trade-off: when you ask for a blended number across channels, it's being assembled on the fly, so it's better for taking action on one platform at a time than for a cross-channel figure you'll report upward.\u003C/p>\u003Cp>\u003Cstrong>If your job is cross-channel reporting you have to stand behind,\u003C/strong> a governed data layer like Whatagraph is the one built for it. \u003C/p>\u003Cp>If you're an agency reporting to clients, a team reporting to leadership, or anyone running several channels where a wrong number has consequences, you want to govern and standardize your data before Claude gives you the wrong answers - so the figures match your reports and don't shift between questions. \u003C/p>\u003Cp>Most marketing teams end up needing more than one channel and answering to someone who expects the numbers to be right. If that's you, the governed option is worth the upfront setup. If it's not, one of the lighter types above will serve you fine.\u003C/p>","2026-06-29T15:04:51.567Z","2026-07-01T12:16:14.058Z","2026-07-01T12:16:14.222Z","2026-07-01","gxkbk2unurad3zl0a48udfzn",{"id":853,"name":854,"alternativeText":33,"caption":33,"width":702,"height":703,"formats":855,"hash":863,"ext":384,"mime":385,"size":864,"url":865,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":866,"updatedAt":866,"documentId":867,"publishedAt":866,"focalPoint":33},17403,"Best MCP for marketing - Whatagraph.png",{"thumbnail":856},{"ext":384,"url":857,"etag":858,"hash":859,"mime":385,"name":860,"path":33,"size":861,"width":575,"height":576,"sizeInBytes":862},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Best_MCP_for_marketing_Whatagraph_39ac93979f.png","26faf260754690bf7f3bc0a1645aab42","thumbnail_Best_MCP_for_marketing_Whatagraph_39ac93979f","thumbnail_Best MCP for marketing - Whatagraph.png",50.96,50957,"Best_MCP_for_marketing_Whatagraph_39ac93979f",1356.12,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Best_MCP_for_marketing_Whatagraph_39ac93979f.png","2026-06-29T14:51:08.242Z","v0h711phtqirmxsbim9pu5yl",{"id":585,"name":586,"about":587,"email":588,"createdAt":589,"updatedAt":590,"publishedAt":591,"slug":592,"linkedin_url":593,"documentId":594},{"id":115,"title":673,"slug":674,"subheading":675,"createdAt":676,"updatedAt":677,"publishedAt":678,"documentId":679},{"id":5,"title":871,"subtitle":872,"createdAt":873,"updatedAt":874,"publishedAt":875,"documentId":876,"text_banner":33,"bottom_banner":33},"Get more from your marketing data","\u003Cp>Dive into Whatagraph product updates, how-tos, company news, product reviews, and educational content to get the most out of your marketing data.\u003C/p>","2022-11-18T08:43:50.870Z","2025-07-03T08:13:56.278Z","2022-11-18T08:43:52.413Z","nacdautr0f31448ryt3aqm2k",1786970769437]