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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":703,"relatedArticles":704,"banners":887},{"id":553,"title":554,"slug":555,"summary":556,"body":557,"read_time":76,"createdAt":558,"updatedAt":559,"publishedAt":560,"errors":33,"table_of_contents":17,"dateReorder":561,"documentId":562,"cover_image":563,"tags":584,"banners":33,"author":585,"seo":616,"FAQ":623,"article_category":690},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":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":583,"focalPoint":33},17461,"Google Sheets MCP - how to connect Google Sheets to claude.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_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",13.03,245,138,13033,"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":586,"name":587,"about":588,"email":589,"createdAt":590,"updatedAt":591,"publishedAt":592,"slug":593,"linkedin_url":594,"documentId":595,"avatar":596},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":597,"name":598,"alternativeText":33,"caption":33,"width":599,"height":600,"formats":601,"hash":611,"ext":603,"mime":606,"size":612,"url":613,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":614,"updatedAt":614,"documentId":615,"publishedAt":373,"focalPoint":33},13120,"Professional Headshot_Yamon.jpg",1358,1527,{"thumbnail":602},{"ext":603,"url":604,"hash":605,"mime":606,"name":607,"path":33,"size":608,"width":609,"height":610},".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":617,"metaTitle":618,"metaDescription":619,"addNoIndex":17,"canonicalURL":33,"metaImage":620},2988,"Google Sheets MCP: connect Google Sheets to Claude and trust the answers","Read how to connect Google Sheets to Claude with an MCP, the three types of Google Sheets MCPs, and how to get accurate answers from AI.\n",{"id":564,"name":565,"alternativeText":33,"caption":33,"width":566,"height":567,"formats":621,"hash":578,"ext":384,"mime":385,"size":579,"url":580,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":581,"updatedAt":581,"documentId":582,"publishedAt":583,"focalPoint":33},{"thumbnail":622},{"ext":384,"url":570,"etag":571,"hash":572,"mime":385,"name":573,"path":33,"size":574,"width":575,"height":576,"sizeInBytes":577},{"id":624,"description":33,"title":33,"items":625},1000,[626,630,634,638,642,646,650,654,658,662,666,670,674,678,682,686],{"id":627,"question":628,"answer":629},5560,"What is a Google Sheets MCP server?","\u003Cp>A Google Sheets MCP server is a connector that gives AI tools like Claude direct access to your spreadsheets in plain language, without CSV exports or code. MCP stands for Model Context Protocol, an open standard Anthropic introduced in late 2024.\u003C/p>",{"id":631,"question":632,"answer":633},5561,"How do I connect Google Sheets to Claude?","\u003Cp>Two routes to connect Claude to Google Sheets. Install a dedicated Google Sheets MCP server (Google's official one or an open-source build) if you want Claude working inside the spreadsheet, or connect your sheet as a source in Whatagraph and paste https://mcp.whatagraph.com/mcp into Claude's custom connector settings if you want it answering questions across the sheet and your marketing channels together.\u003C/p>",{"id":635,"question":636,"answer":637},5562,"What can a Google Sheets MCP server actually do?","\u003Cp>It depends on the server, and the tool names differ between them. Most cover the same ground:\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Read a range or a whole tab, usually addressed with a spreadsheet ID and A1 notation\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Update cell values, append values, and set formulas\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Create a spreadsheet, add sheet or create sheet, copy sheet, delete sheet\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Change structure with things like insert dimension, format cells, or update_sheet_properties\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Look around your Drive with get spreadsheet info or search spreadsheets\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Managed connectors often add higher-level actions like upsert rows or create spreadsheet row\u003Cbr> \u003C/p>",{"id":639,"question":640,"answer":641},5563,"Can I trust the answers Claude gives me from my Google Sheets data?","\u003Cp>Only as far as the sheet deserves to be trusted, because Claude reads what's in the cells rather than what you meant. Mixed currencies, a totals row in the middle, two columns that both mean spend, and inconsistent naming all produce confident answers that are quietly wrong, which is why defining your metrics in a governed layer before the data reaches the AI is the part that matters.\u003C/p>",{"id":643,"question":644,"answer":645},5564,"Why doesn't Claude's answer match what's actually in my client tracker sheet?","\u003Cp>Usually one of four things: the date column isn't formatted YYYY-MM-DD or isn't first, a text value in a number column flipped that column to a dimension, the report's date range doesn't cover the dates in the sheet, or metrics are stacked vertically instead of running across in their own columns. The \u003Ca href=\"https://help.whatagraph.com/en/articles/5069689-google-sheets-why-i-cannot-see-my-data-displayed-correctly-when-using-google-sheets\">troubleshooting guide\u003C/a> walks through each one with examples.\u003C/p>",{"id":647,"question":648,"answer":649},5565,"What are the most common problems with a Google Sheets MCP?","\u003Cp>The recurring ones:\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Formatting. Merged cells, totals rows, and stacked layouts get read as data.\u003C/p>\u003Cp> \u003C/p>\u003Cp>- No metric definitions. Claude infers what a column means, and infers slightly differently each time.\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Currency. A spend column is just numbers, so nothing converts unless you tell it to.\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Context cost. Some servers load 19 tools and roughly 13,000 tokens before you've asked anything.\u003C/p>\u003Cp> \u003C/p>\u003Cp>- Prompt injection. Google's own docs warn that text in a shared sheet can carry instructions that hijack the session.\u003Cbr> \u003C/p>",{"id":651,"question":652,"answer":653},5566,"Can Claude edit or update my Google Sheet?","\u003Cp>With a dedicated Google Sheets MCP server, yes: update cell values, append rows, set formulas, insert columns. Whatagraph's MCP writes too, but into your reporting layer rather than into the spreadsheet, creating custom metrics, dimensions, tags, goals, widgets, and full reports that every downstream report inherits.\u003C/p>",{"id":655,"question":656,"answer":657},5567,"Can I ask Claude about my sheet and my ad platforms in the same prompt?","\u003Cp>Yes, and this is the strongest reason to route through a governed layer. Blend the sheet with your channels on a shared key like date or campaign first, so Claude reads one reconciled dataset instead of stitching a spreadsheet to four ad platform APIs mid-conversation.\u003C/p>",{"id":659,"question":660,"answer":661},5568,"Do I still need a separate add-on stack to get PPC reports out of Sheets?","\u003Cp>No. If the sheet exists because Supermetrics or a similar add-on pulls platform data into it for reporting, that middle step disappears when the platforms connect natively and the reports are built on the same layer.\u003C/p>",{"id":663,"question":664,"answer":665},5569,"Can Whatagraph replace my Semrush plus Supermetrics plus Sheets stack?","\u003Cp>For the reporting half, yes: Semrush, Ahrefs, and Google Search Console are native connectors, so the data no longer needs a spreadsheet in the middle to be reportable. Whatagraph isn't a keyword research tool though, so the research itself stays where it is.\u003C/p>",{"id":667,"question":668,"answer":669},5570,"Do I have to keep updating my client health tracker by hand to report on it?","\u003Cp>Not if the numbers in it come from connected platforms. Targets, tiers, and manual notes are worth keeping in the sheet, but spend, conversions, and pacing can populate from the sources themselves, and IQ Agents is being built to handle the upkeep around it: tagging new campaigns, rebuilding reports each month, flagging what broke.\u003C/p>",{"id":671,"question":672,"answer":673},5571,"Does Whatagraph work with ChatGPT and other AI tools?","\u003Cp>Yes. Same server URL and nearly identical steps, though ChatGPT requires Developer access to add custom apps, and the MCP works with any client that speaks the protocol, including Claude Desktop, Claude Code, and Cursor.\u003C/p>",{"id":675,"question":676,"answer":677},5572,"Can Claude read multiple Google Sheets at once?","\u003Cp>Yes. Connect each sheet as its own source and group them, and Claude can query spreadsheet data across all of them in one conversation, which is what makes portfolio-wide questions possible instead of one file at a time.\u003C/p>",{"id":679,"question":680,"answer":681},5573,"How often does the data refresh?","\u003Cp>On Whatagraph, connected sheets refresh hourly, and you can refresh a report manually to pull changes immediately. Formulas are read at their visible value, so calculated columns come through as numbers.\u003Cbr> \u003C/p>",{"id":683,"question":684,"answer":685},5574,"Is my Google Sheets data secure?","\u003Cp>The connector reaches only the team you pick during authorization, over an encrypted connection, and you control permissions at the tool level in Claude's settings. Keeping write and delete tools on \"needs approval\" until you trust the setup is a reasonable default.\u003C/p>\u003Cp> \u003C/p>\u003Cp>Whatagraph is also GDPR-compliant and ISO-27001 certified so your data stays safe.\u003C/p>",{"id":687,"question":688,"answer":689},5575,"What's the difference between a Google Sheets MCP and AI automation tools?","\u003Cp>An MCP is a live connection your AI queries when you ask something, while most AI automation runs on a trigger and a fixed sequence. They pair well: use the MCP for questions and analysis, and agents or scheduled automations for the work that should happen without you asking.\u003C/p>",{"id":115,"title":691,"slug":692,"subheading":693,"createdAt":694,"updatedAt":695,"publishedAt":696,"documentId":697,"toc_banner":698},"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":699,"cta":700,"cta_collection":33},"Save 100+ hours a month on reporting with Whatagraph",{"id":701,"label":334,"url":335,"subtext":33,"style":702,"element_id":33,"color":33,"icon":33,"width":33},2916,"button","\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>\u003Cblockquote class=\"quote quote--variant-1 py-6 px-6 !my-2 rounded-2xl !max-w-full md:text-lg lg:text-xl text-base-dark\">\n          \u003Cdiv class=\"flex gap-4\">\n            \u003Cdiv class=\"\">\n              \u003Csvg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                width=\"28\"\n                height=\"26\"\n                viewBox=\"0 0 28 26\"\n                fill=\"none\"\n              >\n                \u003Cpath\n                  opacity=\"0.15\"\n                  d=\"M10.5428 4.65271C8.26599 5.08169 6.66559 6.73158 5.74165 9.60241C5.27967 11.0213 5.04869 12.4237 5.04869 13.8096C5.04869 13.9746 5.04869 14.1231 5.04869 14.2551C5.08169 14.3541 5.11468 14.6016 5.14768 14.9976H10.5428V25.7879H0V15.839C0 10.9553 0.97344 7.19356 2.92032 4.55372C4.8672 1.91388 7.40804 0.395976 10.5428 0V4.65271ZM27.2233 4.65271C25.4084 4.94969 24.0225 5.97263 23.0656 7.72152C22.1416 9.47042 21.6797 11.4833 21.6797 13.7602C21.6797 13.9581 21.6797 14.1561 21.6797 14.3541C21.7127 14.5521 21.7622 14.7666 21.8282 14.9976H27.2233V25.7879H16.631V15.839C16.631 11.9123 17.4559 8.41448 19.1058 5.34567C20.7557 2.24386 23.4616 0.461971 27.2233 0V4.65271Z\"\n                  fill=\"#5667FC\"\n                />\n              \u003C/svg>\n            \u003C/div>\n            \u003Cdiv class=\"italic\">\n              \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.\n\n              \u003Cfooter class=\"text-right font-bold !mt-3 text-wrap-balance not-italic [&_a]:font-bold\">\n                \n              \u003C/footer>\n            \u003C/div>\n          \u003C/div>\n        \u003C/blockquote>\u003C/li>\u003C/ul>\u003Ch2 id=\"what-is-a-google-sheets-mcp-server-exactly\">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>\u003Cblockquote class=\"quote quote--variant-1 py-6 px-6 !my-2 rounded-2xl !max-w-full md:text-lg lg:text-xl text-base-dark\">\n          \u003Cdiv class=\"flex gap-4\">\n            \u003Cdiv class=\"\">\n              \u003Csvg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                width=\"28\"\n                height=\"26\"\n                viewBox=\"0 0 28 26\"\n                fill=\"none\"\n              >\n                \u003Cpath\n                  opacity=\"0.15\"\n                  d=\"M10.5428 4.65271C8.26599 5.08169 6.66559 6.73158 5.74165 9.60241C5.27967 11.0213 5.04869 12.4237 5.04869 13.8096C5.04869 13.9746 5.04869 14.1231 5.04869 14.2551C5.08169 14.3541 5.11468 14.6016 5.14768 14.9976H10.5428V25.7879H0V15.839C0 10.9553 0.97344 7.19356 2.92032 4.55372C4.8672 1.91388 7.40804 0.395976 10.5428 0V4.65271ZM27.2233 4.65271C25.4084 4.94969 24.0225 5.97263 23.0656 7.72152C22.1416 9.47042 21.6797 11.4833 21.6797 13.7602C21.6797 13.9581 21.6797 14.1561 21.6797 14.3541C21.7127 14.5521 21.7622 14.7666 21.8282 14.9976H27.2233V25.7879H16.631V15.839C16.631 11.9123 17.4559 8.41448 19.1058 5.34567C20.7557 2.24386 23.4616 0.461971 27.2233 0V4.65271Z\"\n                  fill=\"#5667FC\"\n                />\n              \u003C/svg>\n            \u003C/div>\n            \u003Cdiv class=\"italic\">\n              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).\n\n              \u003Cfooter class=\"text-right font-bold !mt-3 text-wrap-balance not-italic [&_a]:font-bold\">\n                \n              \u003C/footer>\n            \u003C/div>\n          \u003C/div>\n        \u003C/blockquote>\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>\u003Cblockquote class=\"quote quote--variant-2 py-6 px-6 !my-2 rounded-2xl !max-w-full md:text-lg lg:text-xl text-base-dark\">\n          \u003Cdiv class=\"flex gap-4\">\n            \u003Cdiv class=\"\">\n              \u003Csvg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                width=\"28\"\n                height=\"26\"\n                viewBox=\"0 0 28 26\"\n                fill=\"none\"\n              >\n                \u003Cpath\n                  opacity=\"0.15\"\n                  d=\"M10.5428 4.65271C8.26599 5.08169 6.66559 6.73158 5.74165 9.60241C5.27967 11.0213 5.04869 12.4237 5.04869 13.8096C5.04869 13.9746 5.04869 14.1231 5.04869 14.2551C5.08169 14.3541 5.11468 14.6016 5.14768 14.9976H10.5428V25.7879H0V15.839C0 10.9553 0.97344 7.19356 2.92032 4.55372C4.8672 1.91388 7.40804 0.395976 10.5428 0V4.65271ZM27.2233 4.65271C25.4084 4.94969 24.0225 5.97263 23.0656 7.72152C22.1416 9.47042 21.6797 11.4833 21.6797 13.7602C21.6797 13.9581 21.6797 14.1561 21.6797 14.3541C21.7127 14.5521 21.7622 14.7666 21.8282 14.9976H27.2233V25.7879H16.631V15.839C16.631 11.9123 17.4559 8.41448 19.1058 5.34567C20.7557 2.24386 23.4616 0.461971 27.2233 0V4.65271Z\"\n                  fill=\"#7171F2\"\n                />\n              \u003C/svg>\n            \u003C/div>\n            \u003Cdiv class=\"italic\">\n              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.\n\n              \u003Cfooter class=\"text-right font-bold !mt-3 text-wrap-balance not-italic [&_a]:font-bold\">\n                \n              \u003C/footer>\n            \u003C/div>\n          \u003C/div>\n        \u003C/blockquote>\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 id=\"types-of-google-sheets-mcps\">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>\u003Cblockquote class=\"quote quote--variant-3 py-6 px-6 !my-2 rounded-2xl !max-w-full md:text-lg lg:text-xl text-base-dark\">\n          \u003Cdiv class=\"flex gap-4\">\n            \u003Cdiv class=\"\">\n              \u003Csvg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                width=\"28\"\n                height=\"26\"\n                viewBox=\"0 0 28 26\"\n                fill=\"none\"\n              >\n                \u003Cpath\n                  opacity=\"0.15\"\n                  d=\"M10.5428 4.65271C8.26599 5.08169 6.66559 6.73158 5.74165 9.60241C5.27967 11.0213 5.04869 12.4237 5.04869 13.8096C5.04869 13.9746 5.04869 14.1231 5.04869 14.2551C5.08169 14.3541 5.11468 14.6016 5.14768 14.9976H10.5428V25.7879H0V15.839C0 10.9553 0.97344 7.19356 2.92032 4.55372C4.8672 1.91388 7.40804 0.395976 10.5428 0V4.65271ZM27.2233 4.65271C25.4084 4.94969 24.0225 5.97263 23.0656 7.72152C22.1416 9.47042 21.6797 11.4833 21.6797 13.7602C21.6797 13.9581 21.6797 14.1561 21.6797 14.3541C21.7127 14.5521 21.7622 14.7666 21.8282 14.9976H27.2233V25.7879H16.631V15.839C16.631 11.9123 17.4559 8.41448 19.1058 5.34567C20.7557 2.24386 23.4616 0.461971 27.2233 0V4.65271Z\"\n                  fill=\"#F8AA52\"\n                />\n              \u003C/svg>\n            \u003C/div>\n            \u003Cdiv class=\"italic\">\n              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.\n\n              \u003Cfooter class=\"text-right font-bold !mt-3 text-wrap-balance not-italic [&_a]:font-bold\">\n                \n              \u003C/footer>\n            \u003C/div>\n          \u003C/div>\n        \u003C/blockquote>\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 id=\"how-to-connect-google-sheets-to-claude-2-options\">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 id=\"option-1-build-it-yourself-with-a-google-sheets-mcp-server\">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>\u003Cblockquote class=\"quote quote--variant-3 py-6 px-6 !my-2 rounded-2xl !max-w-full md:text-lg lg:text-xl text-base-dark\">\n          \u003Cdiv class=\"flex gap-4\">\n            \u003Cdiv class=\"\">\n              \u003Csvg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                width=\"28\"\n                height=\"26\"\n                viewBox=\"0 0 28 26\"\n                fill=\"none\"\n              >\n                \u003Cpath\n                  opacity=\"0.15\"\n                  d=\"M10.5428 4.65271C8.26599 5.08169 6.66559 6.73158 5.74165 9.60241C5.27967 11.0213 5.04869 12.4237 5.04869 13.8096C5.04869 13.9746 5.04869 14.1231 5.04869 14.2551C5.08169 14.3541 5.11468 14.6016 5.14768 14.9976H10.5428V25.7879H0V15.839C0 10.9553 0.97344 7.19356 2.92032 4.55372C4.8672 1.91388 7.40804 0.395976 10.5428 0V4.65271ZM27.2233 4.65271C25.4084 4.94969 24.0225 5.97263 23.0656 7.72152C22.1416 9.47042 21.6797 11.4833 21.6797 13.7602C21.6797 13.9581 21.6797 14.1561 21.6797 14.3541C21.7127 14.5521 21.7622 14.7666 21.8282 14.9976H27.2233V25.7879H16.631V15.839C16.631 11.9123 17.4559 8.41448 19.1058 5.34567C20.7557 2.24386 23.4616 0.461971 27.2233 0V4.65271Z\"\n                  fill=\"#F8AA52\"\n                />\n              \u003C/svg>\n            \u003C/div>\n            \u003Cdiv class=\"italic\">\n              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.\n\n              \u003Cfooter class=\"text-right font-bold !mt-3 text-wrap-balance not-italic [&_a]:font-bold\">\n                \n              \u003C/footer>\n            \u003C/div>\n          \u003C/div>\n        \u003C/blockquote>\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=\"/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://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png\" srcset=\"https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=350 350w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=700 700w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=420 440w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=840 880w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=768 768w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=1536 1536w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=992 992w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=1984 1984w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=600 1200w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=1200 2400w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.png?width=720 1440w, https://media.whatagraph.com/google_sheets_mcp_maintenance_calculator_12c6ba422a.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=\"google-sheets-mcp-maintenance-calculator.png\">\u003C/p>\u003Ch3 id=\"option-2-connect-google-sheets-to-claude-with-whatagraphs-mcp\">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=\"/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=\"/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=\"/agents-waitlist\">request early access\u003C/a> to get in before public launch.\u003C/p>\u003Ch3 id=\"which-option-fits-which-job\">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 id=\"steps-to-connect-google-sheets-to-claude-with-whatagraph-mcp\">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\"  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 id=\"step-1-get-your-sheet-into-a-shape-that-can-be-read\">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\" target=\"_blank\">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 id=\"step-2-connect-google-sheets-as-a-source-in-whatagraph\">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=\"/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 src=\"https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png\" srcset=\"https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=350 350w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=700 700w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=420 440w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=840 880w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=768 768w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=1536 1536w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=992 992w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=1984 1984w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=600 1200w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=1200 2400w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.png?width=720 1440w, https://media.whatagraph.com/google_sheets_mcp_connect_new_source_256ec16ac3.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=\"google-sheets-mcp-connect-new-source.png\">\u003C/figure>\u003Ch3 id=\"step-3-set-up-your-governed-data-layer\">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>\u003Cblockquote class=\"quote quote--variant-1 py-6 px-6 !my-2 rounded-2xl !max-w-full md:text-lg lg:text-xl text-base-dark\">\n          \u003Cdiv class=\"flex gap-4\">\n            \u003Cdiv class=\"\">\n              \u003Csvg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                width=\"28\"\n                height=\"26\"\n                viewBox=\"0 0 28 26\"\n                fill=\"none\"\n              >\n                \u003Cpath\n                  opacity=\"0.15\"\n                  d=\"M10.5428 4.65271C8.26599 5.08169 6.66559 6.73158 5.74165 9.60241C5.27967 11.0213 5.04869 12.4237 5.04869 13.8096C5.04869 13.9746 5.04869 14.1231 5.04869 14.2551C5.08169 14.3541 5.11468 14.6016 5.14768 14.9976H10.5428V25.7879H0V15.839C0 10.9553 0.97344 7.19356 2.92032 4.55372C4.8672 1.91388 7.40804 0.395976 10.5428 0V4.65271ZM27.2233 4.65271C25.4084 4.94969 24.0225 5.97263 23.0656 7.72152C22.1416 9.47042 21.6797 11.4833 21.6797 13.7602C21.6797 13.9581 21.6797 14.1561 21.6797 14.3541C21.7127 14.5521 21.7622 14.7666 21.8282 14.9976H27.2233V25.7879H16.631V15.839C16.631 11.9123 17.4559 8.41448 19.1058 5.34567C20.7557 2.24386 23.4616 0.461971 27.2233 0V4.65271Z\"\n                  fill=\"#5667FC\"\n                />\n              \u003C/svg>\n            \u003C/div>\n            \u003Cdiv class=\"italic\">\n              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.\n\n              \u003Cfooter class=\"text-right font-bold !mt-3 text-wrap-balance not-italic [&_a]:font-bold\">\n                \n              \u003C/footer>\n            \u003C/div>\n          \u003C/div>\n        \u003C/blockquote>\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 src=\"https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png\" srcset=\"https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=350 350w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=700 700w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=420 440w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=840 880w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=768 768w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=1536 1536w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=992 992w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=1984 1984w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=600 1200w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=1200 2400w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.png?width=720 1440w, https://media.whatagraph.com/google_sheets_mcp_blend_sheet_with_channels_b32a136aff.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=\"google-sheets-mcp-blend-sheet-with-channels.png\">\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 src=\"https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png\" srcset=\"https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=350 350w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=700 700w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=420 440w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=840 880w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=768 768w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=1536 1536w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=992 992w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=1984 1984w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=600 1200w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=1200 2400w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.png?width=720 1440w, https://media.whatagraph.com/google_sheets_mcp_custom_metric_c9b2a503d2.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=\"google-sheets-mcp-custom-metric.png\">\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://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png\" srcset=\"https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=350 350w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=700 700w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=420 440w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=840 880w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=768 768w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=1536 1536w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=992 992w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=1984 1984w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=600 1200w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=1200 2400w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.png?width=720 1440w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_prompt_ec07907489.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=\"google-sheets-mcp-iq-dimension-prompt.png\">\u003C/p>\u003Cp>And here's the result, literally done in seconds:\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png\" srcset=\"https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=350 350w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=700 700w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=420 440w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=840 880w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=768 768w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=1536 1536w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=992 992w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=1984 1984w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=600 1200w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=1200 2400w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.png?width=720 1440w, https://media.whatagraph.com/google_sheets_mcp_iq_dimension_result_2cdf9fad4d.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=\"google-sheets-mcp-iq-dimension-result.png\">\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 src=\"https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png\" srcset=\"https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=350 350w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=700 700w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=420 440w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=840 880w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=768 768w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=1536 1536w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=992 992w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=1984 1984w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=600 1200w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=1200 2400w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.png?width=720 1440w, https://media.whatagraph.com/Set_currency_Google_Sheets_MCP_af4f6a6753.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=\"Set currency - Google Sheets MCP.png\">\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 src=\"https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png\" srcset=\"https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=350 350w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=700 700w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=420 440w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=840 880w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=768 768w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=1536 1536w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=992 992w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=1984 1984w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=600 1200w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=1200 2400w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.png?width=720 1440w, https://media.whatagraph.com/Set_up_Spaces_Google_Sheets_MCP_1715244b85.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=\"Set up Spaces - Google Sheets MCP.png\">\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 src=\"https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png\" srcset=\"https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=350 350w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=700 700w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=420 440w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=840 880w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=768 768w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=1536 1536w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=992 992w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=1984 1984w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=600 1200w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=1200 2400w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.png?width=720 1440w, https://media.whatagraph.com/Assign_tags_Google_Sheets_MCP_bb73765bc1.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=\"Assign tags - Google Sheets MCP.png\">\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=\"/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 id=\"step-4-add-the-whatagraph-mcp-connector-in-claude\">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\" target=\"_blank\">\u003Ccode>https://mcp.whatagraph.com/mcp\u003C/code>\u003C/a>\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png\" srcset=\"https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=350 350w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=700 700w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=420 440w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=840 880w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=768 768w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=1536 1536w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=992 992w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=1984 1984w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=600 1200w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=1200 2400w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.png?width=720 1440w, https://media.whatagraph.com/Step_2_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_6fd8733370.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=\"Step 2 of how to connect LinkedIn to Claude - Google Sheets MCP.png\">\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 id=\"step-5-authorize-the-connection\">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 src=\"https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png\" srcset=\"https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=350 350w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=700 700w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=420 440w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=840 880w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=768 768w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=1536 1536w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=992 992w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=1984 1984w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=600 1200w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=1200 2400w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.png?width=720 1440w, https://media.whatagraph.com/Step_3_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_3dfe7fa3be.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=\"Step 3 of how to connect LinkedIn to Claude - Google Sheets MCP.png\">\u003C/figure>\u003Ch3 id=\"step-6-set-permissions-to-always-allow\">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 src=\"https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png\" srcset=\"https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=350 350w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=700 700w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=420 440w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=840 880w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=768 768w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=1536 1536w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=992 992w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=1984 1984w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=600 1200w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=1200 2400w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.png?width=720 1440w, https://media.whatagraph.com/Step_4_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_74c89df34f.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=\"Step 4 of how to connect LinkedIn to Claude - Google Sheets MCP.png\">\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 id=\"step-7-test-it\">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 src=\"https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png\" srcset=\"https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=350 350w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=700 700w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=420 440w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=840 880w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=768 768w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=1536 1536w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=992 992w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=1984 1984w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=600 1200w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=1200 2400w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.png?width=720 1440w, https://media.whatagraph.com/Step_5_of_how_to_connect_Linked_In_to_Claude_Google_Sheets_MCP_bc59618256.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=\"Step 5 of how to connect LinkedIn to Claude - Google Sheets MCP.png\">\u003C/figure>\u003Ch3 id=\"step-8-add-your-own-context-with-claude-skills\">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>\u003Cblockquote class=\"quote quote--variant-1 py-6 px-6 !my-2 rounded-2xl !max-w-full md:text-lg lg:text-xl text-base-dark\">\n          \u003Cdiv class=\"flex gap-4\">\n            \u003Cdiv class=\"\">\n              \u003Csvg\n                xmlns=\"http://www.w3.org/2000/svg\"\n                width=\"28\"\n                height=\"26\"\n                viewBox=\"0 0 28 26\"\n                fill=\"none\"\n              >\n                \u003Cpath\n                  opacity=\"0.15\"\n                  d=\"M10.5428 4.65271C8.26599 5.08169 6.66559 6.73158 5.74165 9.60241C5.27967 11.0213 5.04869 12.4237 5.04869 13.8096C5.04869 13.9746 5.04869 14.1231 5.04869 14.2551C5.08169 14.3541 5.11468 14.6016 5.14768 14.9976H10.5428V25.7879H0V15.839C0 10.9553 0.97344 7.19356 2.92032 4.55372C4.8672 1.91388 7.40804 0.395976 10.5428 0V4.65271ZM27.2233 4.65271C25.4084 4.94969 24.0225 5.97263 23.0656 7.72152C22.1416 9.47042 21.6797 11.4833 21.6797 13.7602C21.6797 13.9581 21.6797 14.1561 21.6797 14.3541C21.7127 14.5521 21.7622 14.7666 21.8282 14.9976H27.2233V25.7879H16.631V15.839C16.631 11.9123 17.4559 8.41448 19.1058 5.34567C20.7557 2.24386 23.4616 0.461971 27.2233 0V4.65271Z\"\n                  fill=\"#5667FC\"\n                />\n              \u003C/svg>\n            \u003C/div>\n            \u003Cdiv class=\"italic\">\n              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.\n\n              \u003Cfooter class=\"text-right font-bold !mt-3 text-wrap-balance not-italic [&_a]:font-bold\">\n                \n              \u003C/footer>\n            \u003C/div>\n          \u003C/div>\n        \u003C/blockquote>\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 id=\"prompts-library-by-use-case\">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 id=\"plan-vs-actual-and-budget-pacing\">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 id=\"targets-goals-and-client-health-trackers\">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 id=\"offline-and-manually-tracked-data-joined-to-paid-performance\">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 id=\"cross-channel-rollups-where-the-sheet-supplies-the-missing-dimension\">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 id=\"reconciliation-and-troubleshooting\">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 id=\"client-reporting-and-executive-summaries\">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=\"/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=\"/blog/articles/google-ads-mcp\"  rel=\"noopener noreferrer\">Google Ads MCP guide\u003C/a>, or the roundup of \u003Ca href=\"/blog/articles/mcp-for-marketing\"  rel=\"noopener noreferrer\">the best MCPs for marketing\u003C/a>.\u003C/p>\u003Ch2 id=\"conclusion\">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\"  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=\"/book-a-call\">Book a demo with our team.\u003C/a>\u003C/p>",[705,734,764,793,822,858],{"id":706,"title":707,"slug":708,"summary":709,"body":710,"read_time":76,"createdAt":711,"updatedAt":712,"publishedAt":713,"errors":33,"table_of_contents":34,"dateReorder":714,"documentId":715,"cover_image":716,"author":732,"article_category":733},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":717,"name":718,"alternativeText":33,"caption":33,"width":566,"height":567,"formats":719,"hash":727,"ext":384,"mime":385,"size":728,"url":729,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":730,"updatedAt":730,"documentId":731,"publishedAt":730,"focalPoint":33},17495,"Klaviyo MCP - how to connect Klaviyo to Claude.png",{"thumbnail":720},{"ext":384,"url":721,"etag":722,"hash":723,"mime":385,"name":724,"path":33,"size":725,"width":575,"height":576,"sizeInBytes":726},"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":586,"name":587,"about":588,"email":589,"createdAt":590,"updatedAt":591,"publishedAt":592,"slug":593,"linkedin_url":594,"documentId":595},{"id":115,"title":691,"slug":692,"subheading":693,"createdAt":694,"updatedAt":695,"publishedAt":696,"documentId":697},{"id":735,"title":736,"slug":737,"summary":738,"body":739,"read_time":76,"createdAt":740,"updatedAt":741,"publishedAt":742,"errors":33,"table_of_contents":34,"dateReorder":743,"documentId":744,"cover_image":745,"author":763,"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":746,"name":747,"alternativeText":33,"caption":33,"width":748,"height":749,"formats":750,"hash":758,"ext":384,"mime":385,"size":759,"url":760,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":761,"updatedAt":761,"documentId":762,"publishedAt":761,"focalPoint":33},17445,"PPC benchmarks - Whatagraph.png",2912,1636,{"thumbnail":751},{"ext":384,"url":752,"etag":753,"hash":754,"mime":385,"name":755,"path":33,"size":756,"width":575,"height":576,"sizeInBytes":757},"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":586,"name":587,"about":588,"email":589,"createdAt":590,"updatedAt":591,"publishedAt":592,"slug":593,"linkedin_url":594,"documentId":595},{"id":765,"title":766,"slug":767,"summary":768,"body":769,"read_time":23,"createdAt":770,"updatedAt":771,"publishedAt":772,"errors":33,"table_of_contents":34,"dateReorder":773,"documentId":774,"cover_image":775,"author":791,"article_category":792},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":776,"name":777,"alternativeText":33,"caption":33,"width":748,"height":749,"formats":778,"hash":786,"ext":384,"mime":385,"size":787,"url":788,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":789,"updatedAt":789,"documentId":790,"publishedAt":789,"focalPoint":33},17403,"Best MCP for marketing - Whatagraph.png",{"thumbnail":779},{"ext":384,"url":780,"etag":781,"hash":782,"mime":385,"name":783,"path":33,"size":784,"width":575,"height":576,"sizeInBytes":785},"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":586,"name":587,"about":588,"email":589,"createdAt":590,"updatedAt":591,"publishedAt":592,"slug":593,"linkedin_url":594,"documentId":595},{"id":115,"title":691,"slug":692,"subheading":693,"createdAt":694,"updatedAt":695,"publishedAt":696,"documentId":697},{"id":794,"title":795,"slug":796,"summary":797,"body":798,"read_time":23,"createdAt":799,"updatedAt":800,"publishedAt":801,"errors":33,"table_of_contents":34,"dateReorder":802,"documentId":803,"cover_image":804,"author":820,"article_category":821},2957,"Google Analytics MCP: How to Connect GA4 & Cross-Channel Data to Claude ","google-analytics-mcp","\u003Cp>A Google Analytics MCP lets you talk to your GA4 data in plain language on Claude or ChatGPT without having to download and upload spreadsheets.\u003C/p>\u003Cp>But the real challenge comes when you want to connect multiple GA4 properties or blend data from GA4 with other channels like Google Ads.\u003C/p>\u003Cp>In this article we'll cover not just how to connect GA4 data to Claude, but also how to do a cross-channel analysis across all your marketing channels and GA4 properties.\u003C/p>","\u003Cp>If you only ran one GA4 property, you wouldn't need much of a guide. Connect it, ask Claude a question, move on.\u003C/p>\u003Cp>But if you’re running ten or twenty properties or client accounts, each with its own naming, its own conversions, its own quirks. Connecting that to Claude is a different problem entirely.\u003C/p>\u003Cp>A Google Analytics MCP lets you query your GA4 data in plain language without having to download and upload spreadsheets. You can ask Claude about traffic, conversions, and audiences and get an answer back in seconds.\u003C/p>\u003Cp>But the trouble starts when you point it at a dozen client properties at once.\u003C/p>\u003Cp>Ask “which clients grew traffic last month” and Claude has to make sense of twelve different setups on the fly.\u003C/p>\u003Cp>If your channel groupings don't match, your conversions are defined differently across clients, or your campaign names never lined up, you get a confident answer built on a mess. Garbage in, garbage out.\u003C/p>\u003Cp>It's usually not Claude getting it wrong. It's the data underneath.\u003C/p>\u003Cp>As Whatagraph's CEO Justas puts it, \"outputs are only as good as what feeds them.\" Skip the foundation and you end up, in his words, with \"beautiful garbage.\"\u003C/p>\u003Cp>In this article, we’ll cover:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e90426a826b9195bbdfc22672e7133649\">how to connect Google Analytics to Claude across all your properties\u003C/li>\u003Cli data-list-item-id=\"ed6d077dceda95608cd1f9580b052cadd\">how to set the data up so the answers hold across every client\u003C/li>\u003C/ol>\u003Ch2>What is a Google Analytics MCP server?\u003C/h2>\u003Cp>A Google Analytics MCP server is a connector that gives an LLM like Claude direct access to your GA4 properties so you can query GA4 data without exporting to Google Sheets.\u003C/p>\u003Cp>You ask a question in plain language, and it pulls the answer back: traffic, conversions, audiences, whatever you'd usually go digging through a report for. You don’t need to wrangle with CSV exports.\u003C/p>\u003Cp>\u003Ca href=\"https://www.linkedin.com/in/arturaslazejevas/\">Arturas Lazejevas\u003C/a>, Whatagraph's CTPO, explains it without the jargon:\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>In practice that means an MCP can add new tools and update old ones, and Claude adjusts on its own, as long as the server was built with the right tool descriptions behind it.\u003C/p>\u003Cp>For GA4 specifically, that opens up a lot. You can pull realtime reports, build funnel reports, query custom dimensions and metrics, and compare time periods, all by asking. The model context protocol for Google Analytics turns GA4 from a place you go to extract data into something you just talk to.\u003C/p>\u003Cp>So far, so good. The catch is that not all of these connectors are built the same way, and the differences are exactly what decide whether you can trust what comes back.\u003C/p>\u003Ch3>Three types of Google Analytics MCP (and why only one gives you answers you can trust)\u003C/h3>\u003Cp>Before you pick a GA4 MCP server, it's worth asking a few questions about it:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ec7a65fa0a8aa77b26f9c0edcd1a40437\">Where does it actually pull data from: the raw GA4 API, or a unified data layer?\u003C/li>\u003Cli data-list-item-id=\"e71464a8ad93cc125ef52c2cb7b12bc87\">Can it answer a question that spans GA4 and another channel, like paid?\u003C/li>\u003Cli data-list-item-id=\"e2694d8dacda75403b15205631500bfa0\">Who decides what a \"conversion\" or \"engaged session\" means, you or the model, every single time you ask?\u003C/li>\u003C/ul>\u003Cp>The answers depend on which of three types you're dealing with. Arturas breaks them down like this.\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 data layer (Whatagraph)\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>What it is\u003C/strong>\u003C/td>\u003Ctd>A wrapper over one platform's API\u003C/td>\u003Ctd>Several platform wrappers side by side, with nothing shared between them\u003C/td>\u003Ctd>A protocol over a unified data model; metrics, currency, and attribution reconciled before the model sees them\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Cross-channel answer\u003C/strong>\u003C/td>\u003Ctd>Not its job. One platform by definition\u003C/td>\u003Ctd>The LLM stitches it together at query time, and the math drifts\u003C/td>\u003Ctd>Already blended in the data model\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Same question, same answer?\u003C/strong>\u003C/td>\u003Ctd>Yes, within that one platform\u003C/td>\u003Ctd>No. Depends on the prompt and the run\u003C/td>\u003Ctd>Yes. Metrics are defined once\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Across many client properties\u003C/strong>\u003C/td>\u003Ctd>One property at a time\u003C/td>\u003Ctd>Each one connected, nothing normalized between them\u003C/td>\u003Ctd>Normalized once, queried together\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>\u003Cstrong>Best for\u003C/strong>\u003C/td>\u003Ctd>Single-property GA4 questions\u003C/td>\u003Ctd>Quick answers when one source is enough\u003C/td>\u003Ctd>Daily multi-channel reporting and client work\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Whatagraph’s MCP is the third one - MCP over a governed data layer.\u003C/p>\u003Cp>You set up your business logic on Whatagraph once - like what a conversion means to you, how campaign names should be, or which currency you speak, and this logic applies across every client report, internal dashboard, and AI answers.\u003C/p>\u003Cp>Claude isn't doing data engineering inside the chat; it's reading numbers that were already settled. As Arturas puts it:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>We don'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>\u003Cstrong>This means you can ask the same question on Monday and on Friday and get the same answer - across dozens of client accounts and properties.\u003C/strong>\u003C/p>\u003Cp>That consistency isn't a feature of the MCP itself. It's a feature of what's been built underneath it.\u003C/p>\u003Cp>Or as Arturas summed it up: “the connection isn't what's hard. Everything that has to be true after the connection is what's hard.”\u003C/p>\u003Ch2>How to connect Google Analytics to Claude\u003C/h2>\u003Cp>Google has an official, open-source GA4 MCP server. It runs locally on your machine, talks to the Google Analytics Admin API and Data API, and gives Claude a handful of tools: listing your properties, running standard reports, funnel reports, realtime reports, and pulling custom dimensions and metrics.\u003C/p>\u003Cp>It's free, and if you're comfortable in a terminal, it works. Here's the rough path:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"ea465c1cc90bef608d1a7286d5a7e77a0\">\u003Cstrong>Set up your environment.\u003C/strong> Install Python 3.10 or newer, then install pipx to run the server.\u003C/li>\u003Cli data-list-item-id=\"ead23aa1e41570fd83b824532187b09ee\">\u003Cstrong>Create a Google Cloud project.\u003C/strong> In the Google Cloud Console, enable both the Google Analytics Admin API and the Google Analytics Data API. Skip this and the server connects but returns nothing.\u003C/li>\u003Cli data-list-item-id=\"e5bdf69fd2538be24ba035eb4c13a8acc\">\u003Cstrong>Configure credentials.\u003C/strong> Set up Application Default Credentials by running \u003Ccode>gcloud auth application-default login\u003C/code> with the \u003Ccode>analytics.readonly\u003C/code> scope. You'll do this through an OAuth client, or by impersonating a service account that has access to your GA4 properties.\u003C/li>\u003Cli data-list-item-id=\"e4d71f43bee51fecf83027b47179fecf3\">\u003Cstrong>Add the server to Claude.\u003C/strong> In Claude Code you can run \u003Ccode>claude mcp add analytics-mcp ... -- pipx run analytics-mcp\u003C/code> with your credentials path and project ID. For Claude Desktop, you add the same command and environment variables to the \u003Ccode>claude_desktop_config.json\u003C/code> file.\u003C/li>\u003Cli data-list-item-id=\"e0a9bf469dac2a1a38559d7a49d2a7a44\">\u003Cstrong>Restart and test.\u003C/strong> Reopen Claude, confirm the server is listed, and ask it to list your GA4 properties to check the connection.\u003C/li>\u003C/ol>\u003Cp>Worth knowing: the server was built primarily with Gemini CLI in mind, so most of the official walkthroughs assume that setup. It works with Claude, but you're adapting instructions as you go.\u003C/p>\u003Cp>\u003Cstrong>Where this falls short.\u003C/strong> A few things pile up fast, and faster the more clients you add.\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e6deecab232e7652c649d9a610e834561\">It's technical. Python, the gcloud CLI, OAuth clients, JSON config files. Fine for a developer, a real wall for most marketers.\u003C/li>\u003Cli data-list-item-id=\"e5b13e56fb1f44009d80340a2694c2ec9\">It runs on one person's laptop, and you authenticate per property. Every new client is another credentials setup, and when that one person is out, the whole thing is out with them.\u003C/li>\u003Cli data-list-item-id=\"e0b6ae1f3db364df79d14ff1141c6e832\">And it hands Claude raw GA4 output, one property at a time. Nothing reconciles naming or conversion definitions across clients, so any portfolio-level answer is yours to assemble by hand, every time you ask.\u003C/li>\u003C/ol>\u003Cp>The third point is the most dangeorus. \u003Ca href=\"https://www.linkedin.com/in/laurynas-arminas/\" target=\"_blank\" rel=\"noopener noreferrer\">Laurynas Arminas\u003C/a>, Whatagraph's Product Manager, has watched teams go down this road:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>It's easy to get something 80% done and think you're there. Then you realize how hard that last 20% is.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>And it gets harder the more you grow:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Once you're working with seven different channels and seven different places pulling data, things start getting confusing. Every time you add a client or a channel, you have to update everything, and things slip through the cracks.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>At two clients and one property, the official server does the job. At ten clients across a dozen properties, maintaining it becomes a job of its own.\u003C/p>\u003Ch2>How to set up Google Analytics MCP for cross-property and cross-channel reporting\u003C/h2>\u003Cp>If you want to set up and manage multiple GA4 properties or combine GA4 with Google Ads (or any other channel), Whatagraph is the best Google Analytics MCP for you. Here’s how to set it up.\u003C/p>\u003Cp>Before you start, you'll need three things:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"eb99debad47b59c1848ef09037dc9a366\">A Whatagraph account with your GA4 properties connected (\u003Ca href=\"https://live.whatagraph.com/auth/register\">sign up for a free 14-day trial here\u003C/a>)\u003C/li>\u003Cli data-list-item-id=\"ea5757b30cd8b77045a2af06ff3a76b4d\">A Claude account\u003C/li>\u003Cli data-list-item-id=\"ed654850785ced6c6518060d74e4f7710\">Owner or Full Admin access to your Claude workspace\u003C/li>\u003C/ol>\u003Cp>One trick that saves a headache: 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: Connect your data sources in Whatagraph\u003C/h3>\u003Cp>If you haven't already, add your GA4 properties as data sources inside Whatagraph. This is where the data actually lives; the MCP just gives Claude a way to query it.\u003C/p>\u003Cp>Whatagraph isn't only a GA4 connector, though. It pulls from 60+ marketing platforms, so the same account can hold your Google Ads, Meta, LinkedIn, and Search Console data alongside GA4, all governed the same way.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1860;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Connect_new_source_Google_Analytics_MCP_bb5f010f02.png\" alt=\"Connect new source - Google Analytics MCP.png\" width=\"3600\" height=\"1860\">\u003C/figure>\u003Cp>That matters if you're an agency working upmarket, because a lot of the questions you care about cross platforms.\u003C/p>\u003Cp>Say you want to know whether the conversions GA4 recorded last month actually came from your Google Ads campaigns. That's a GA4 and Google Ads question.\u003C/p>\u003Cp>To answer it without Claude guessing, both sources need to live in the same place and share the same definitions. So connect them now, and the cross-channel setup in the next step will work.\u003C/p>\u003Cp>If you run SEO, connect Google Search Console too. Same setup, and Claude can then answer organic questions across GA4 and GSC from one connection, with no second Google Search Console MCP server to manage.\u003C/p>\u003Ch3>Step 2: Set up your governed data layer across properties and channels\u003C/h3>\u003Cp>This is the step that decides whether you can trust the answers across all those properties and channels.\u003C/p>\u003Cp>What a governed data layer does is make sure that once the data is in, Claude isn't piling a second layer of mess on top: mismatched naming, guessed currencies, and math it reinvents on every prompt.\u003C/p>\u003Cp>As Arturas Lazejevas, Whatagraph's CTPO, puts it:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>My suggestion would be to really embed your business logic into Whatagraph first, so that Claude doesn't need to reason about it every time.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Here's what to set up before you ask a single question:\u003C/p>\u003Cp>\u003Cstrong>Create Source Groups to combine properties.\u003C/strong> If a client runs separate GA4 properties per region or brand, roll them into one Source Group so Claude reads them as a single source. This is also how you build a portfolio view: group the properties you want to compare so Claude can answer across all of them in one go.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2976;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Source_groups_Google_Analytics_MCP_0e3d0a4627.png\" alt=\"Source groups - Google Analytics MCP.png\" width=\"3600\" height=\"2976\">\u003C/figure>\u003Cp>\u003Cstrong>Normalize naming with custom dimensions.\u003C/strong> This is the one that makes cross-property reporting actually work. Client A calls it \"Paid Search,\" Client B logs \"google / cpc,\" Client C uses \"01_PaidSearch.\" Map them to one taxonomy with a custom dimension, and \"which clients grew paid traffic\" finally compares like with like. \u003C/p>\u003Cp>Write the rules by hand, or describe what you want and let IQ Dimensions build the logic. Without this step, querying across properties just surfaces the inconsistency.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/3023;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/IQ_dimensions_Google_Analytics_MCP_fd87b1abb4.png\" alt=\"IQ dimensions - Google Analytics MCP.png\" width=\"3600\" height=\"3023\">\u003C/figure>\u003Cp>\u003Cstrong>Build Blends to combine GA4 with Google Ads.\u003C/strong> Blend your GA4 source with your Google Ads source on a shared key like date or campaign, and now sessions and conversions from GA4 sit next to spend and clicks from Google Ads in one model. Ask Claude \"which Google Ads campaigns drove the most GA4 conversions last month\" and the answer is pre-joined, not stitched together live in the chat.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2274;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Blend_data_sources_Google_Analytics_MCP_5e67c033f4.png\" alt=\"Blend data sources - Google Analytics MCP.png\" width=\"3600\" height=\"2274\">\u003C/figure>\u003Cp>\u003Cstrong>Define custom metrics across those sources.\u003C/strong> Once GA4 and Google Ads are blended, you can define a metric that spans both, like blended ROAS using Google Ads spend against GA4 revenue, or true cost per conversion using Google Ads cost over GA4 key events. Define it once and Claude uses that exact formula every time, instead of guessing at the math.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/2976;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Custom_metrics_Google_Analytics_MCP_c118b7c9e4.png\" alt=\"Custom metrics - Google Analytics MCP.png\" width=\"3600\" height=\"2976\">\u003C/figure>\u003Cp>\u003Cstrong>Check your currency settings.\u003C/strong> Whatagraph detects each source's original currency automatically, so cross-market traffic and revenue line up on their own. In the rare case it can't, you set it manually.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2400/3179;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Set_currency_Google_Analytics_MCP_8e8a2ba4d4.png\" alt=\"Set currency - Google Analytics MCP.png\" width=\"2400\" height=\"3179\">\u003C/figure>\u003Cp>\u003Cstrong>Organize your sources and reports into Spaces by client or location.\u003C/strong> Spaces are Whatagraph's folders, one per client or location, and they hold both the data sources and the reports for that account. Claude scopes its queries by Space, so this keeps a dozen properties from bleeding into each other. Ask \"how did this client do\" and Claude looks inside that one folder instead of returning a blur of everyone's data.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1920;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Set_up_Spaces_Google_Analytics_MCP_e14acad8fe.png\" alt=\"Set up Spaces - Google Analytics MCP.png\" width=\"3600\" height=\"1920\">\u003C/figure>\u003Cp>\u003Cstrong>Tag your sources.\u003C/strong> Label them by client, region, or account manager, then ask Claude to filter by a tag instead of spelling out which sources to include every time.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:2400/3179;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Assign_tags_Google_Analytics_MCP_4186264767.png\" alt=\"Assign tags - Google Analytics MCP.png\" width=\"2400\" height=\"3179\">\u003C/figure>\u003Cp>\u003Cstrong>Optional, but the single best habit for reliable answers: build a report first, then point Claude at it.\u003C/strong> This one comes straight from our Product Manager, Laurynas Arminas. Put the metrics that matter into one report, then reference that report when you query.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1440/952;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/PPC_report_template_PPC_reporting_tool_282ddb1ad5.png\" alt=\"PPC Report Template - A dashboard with metrics on advertising performance, including conversions, impressions, and cost.\" width=\"1440\" height=\"952\">\u003C/figure>\u003Cp>As he explains it, “the numbers in the report will be reliable, because not much can break in there.”\u003C/p>\u003Cp>For anything recurring, like a daily traffic check across clients, a prompt such as \u003Ci>\"summarize sessions and conversions across all properties last month from Report [name]\"\u003C/i> gives you a stable answer pulled from a fixed reference, while Claude can still dig into the raw data when you want to explore something one-off.\u003C/p>\u003Cp>The more of this you do upfront, the closer Claude's answers land to what you'd see if you checked by hand.\u003C/p>\u003Ch3>Step 3: Add the Whatagraph MCP connector in Claude\u003C/h3>\u003Cp>Open Claude, go to Settings, and find Connectors. \u003C/p>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:3600/1467;\" src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Step_1_of_how_to_connect_Google_Analytics_to_Claude_Google_Analytics_MCP_7ccffc1d89.png\" alt=\"Step 1 of how to connect Google Analytics to Claude - Google Analytics MCP.png\" width=\"3600\" height=\"1467\">\u003C/figure>\u003Cp>Look for the option to add a custom connector, then paste in the Whatagraph MCP server URL:\u003C/p>\u003Cp>\u003Ca href=\"https://mcp.whatagraph.com/mcp\" target=\"_blank\" rel=\"noopener noreferrer\">\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_Analytics_MCP_2cb7dc3e08.png\" alt=\"Step 2 of how to connect LinkedIn to Claude - Google Analytics MCP.png\" width=\"3600\" height=\"2358\">\u003C/figure>\u003Ch3>Step 4: Save and authorize\u003C/h3>\u003Cp>Claude will prompt you to connect your Whatagraph account. If you're already logged into Whatagraph in the same browser, this is a one-click step. (Same process on ChatGPT, by the way; you just need Developer access there.)\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_Analytics_MCP_b0afcdc6e5.png\" alt=\"Step 3 of how to connect LinkedIn to Claude - Google Analytics MCP.png\" width=\"3600\" height=\"2358\">\u003C/figure>\u003Ch3>Step 5: Set your permissions\u003C/h3>\u003Cp>After authorizing, you'll see the permissions the connector has. If they're set to \"Needs approval,\" Claude asks every time it pulls data. Switch to \"Always allow\" to skip that on every prompt.\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_Analytics_MCP_185fe7fbed.png\" alt=\"Step 4 of how to connect LinkedIn to Claude - Google Analytics MCP.png\" width=\"3600\" height=\"1998\">\u003C/figure>\u003Ch3>Step 6: Test the connection\u003C/h3>\u003Cp>Ask Claude: \u003Ci>\"What do you have access to in my Whatagraph account?\"\u003C/i> It should respond with your connected sources and account details. That's your sign it's working.\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_Analytics_MCP_801947a350.png\" alt=\"Step 5 of how to connect LinkedIn to Claude - Google Analytics MCP.png\" width=\"3600\" height=\"1998\">\u003C/figure>\u003Ch3>→ Important note\u003C/h3>\u003Cp>Whatagraph’s MCP already comes with \u003Ca href=\"https://github.com/whatagraph/whatagraph-skills/tree/main/skills\">pre-built skills\u003C/a> like “cross-channel-analytics” and “generating-marketing-insights” so you don’t need to build your own or upload anything. Just go straight to Claude and start asking questions.\u003C/p>\u003Ch2>A prompt library for GA4 and Claude, by use case\u003C/h2>\u003Cp>Once you're connected and your data layer is set, the quality of the answer comes down to the question. Below are prompts that work, grouped by job.\u003C/p>\u003Cp>Each group has a mix of single-channel prompts (GA4 on its own) and cross-channel ones (GA4 blended with your ad platforms), since most teams need both.\u003C/p>\u003Ch3>Traffic and acquisition\u003C/h3>\u003Cp>When you want to analyze website traffic with Claude or use Claude to compare organic and paid traffic in GA4.\u003C/p>\u003Cp>Single channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e571378136593a017342d6acda340ca4c\">\u003Ci>\"What were my top 10 traffic sources last month by sessions, and how did each change versus the month before?\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e7553a50d96461bf9455484b51afb3e98\">\u003Ci>\"Which landing pages brought the most new users in the last 30 days, and what's the engagement rate for each?\"\u003C/i>\u003C/li>\u003C/ul>\u003Cp>Cross-channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"eaf41378dc4bdf30874d420c7a6a462d2\">\u003Ci>\"Compare organic and paid traffic in GA4 for last month. Which one drove more conversions, and at what cost using Google Ads spend?\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"ead507a99f7b8eb9892205a631c947c0e\">\u003Ci>\"For my Google Ads campaigns last month, show GA4 sessions and engagement rate next to clicks and spend, so I can see which campaigns sent quality traffic, not just clicks.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e3c62a435060661674cdcc7e9a170f01c\">\u003Ci>\"Organic conversions fell last month. Check whether paid traffic in Google Ads picked up the slack, or whether total conversions dropped across both.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e95cf60e504b6843939fae3bfa830deb6\">\u003Ci>\"Compare GA4 conversions against Google Ads conversions for last month and flag any campaigns where the two numbers disagree by more than 15%.\"\u003C/i>\u003C/li>\u003C/ul>\u003Ch3>Finding traffic drops fast\u003C/h3>\u003Cp>When you want to use Claude to find traffic drops in Google Analytics.\u003C/p>\u003Cp>Single channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e1106e7f960023f5eb06364beb1fc938a\">\u003Ci>\"Did any traffic source drop more than 20% week over week in the last month? Flag the ones worth investigating.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"eab8b930d39322cf4f5a89479040c19fa\">\u003Ci>\"Sessions fell last week. Break the drop down by channel, device category, and landing page to show me where it actually happened.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"efb1f879472b50dfd6b789c3fd18d1c57\">\u003Ci>\"Compare this month's traffic to the previous period. Which content pieces and channels are down month over month, and by how much?\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"ed231d4e771c50bc5918721ae087da6e5\">\u003Ci>\"Find any landing pages that lost more than [X%] of their organic traffic in the last 30 days, and include conversions so I can prioritize which to fix first.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e52f6b3305c3e7a7934d984fee6b61ec9\">\u003Ci>\"Why did my organic traffic go down unusually last week? Which content pieces were the most affected?”\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e461ec31b252402e3cbee4efb2423f0bd\">\u003Ci>\"Conversions dipped last week. Break it down by channel, device, and landing page to show me where the drop actually happened.\"\u003C/i>\u003C/li>\u003C/ul>\u003Cp>Cross-channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e2a40fdd46734f877daeb6791f05199b2\">\u003Ci>\"Organic conversions fell last month. Check whether paid traffic in Google Ads picked up the slack or whether total conversions dropped across both.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"eed87948adab7d2a5f1904c8c3ce8c545\">\u003Ci>\"Compare GA4 conversions against Google Ads conversions for last month and flag any campaigns where the two numbers disagree by more than 15%.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"eec37421f37dbeddb2df2794f3e97acc3\">\u003Ci>\"Traffic from paid search fell last week in GA4. Cross-check it against Google Ads to see if it was a budget change, a drop in impressions, or a tracking problem.\"\u003C/i>\u003C/li>\u003C/ul>\u003Ch3>Conversions and funnels\u003C/h3>\u003Cp>When you want to understand what's actually converting, not just what's getting visits.\u003C/p>\u003Cp>Single channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e48f3bf2f581e2b804ccd79f4a56e41b6\">\u003Ci>\"Build a funnel from product page view to add to cart to checkout to purchase for last month, and show the drop-off rate at each step.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"ec71ed81a80dc3973aab182c4690327db\">\u003Ci>\"Which channels in GA4 have the highest conversion rate, and which bring traffic that never converts?\"\u003C/i>\u003C/li>\u003C/ul>\u003Cp>Cross-channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e393da0bffe6323b4c61dda20abe1df7c\">\u003Ci>\"Calculate blended ROAS for last month using Google Ads spend against GA4 revenue, broken down by campaign.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"eba28df48cd7bc4715d647c8e994f26f3\">\u003Ci>\"Which Google Ads campaigns drove the most GA4 key events last month, and what was the true cost per conversion for each?\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e863eda026aa4c98534a50c281e239f04\">\u003Ci>\"My blended ROAS dropped last month. Tell me whether it was a spend increase in Google Ads, a conversion drop in GA4, or both, and which campaigns drove it.\"\u003C/i>\u003C/li>\u003C/ul>\u003Ch3>Cross-channel and organic performance\u003C/h3>\u003Cp>When the question spans platforms, which is most of the questions that drive spend decisions.\u003C/p>\u003Cp>Single channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"eba93bfde1e2af64974b1a6d084161175\">\u003Ci>\"Give me a channel comparison from GA4 for this month: sessions, engagement rate, and conversions by default channel grouping.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"ea9ba91eff4f5f943b6f73fde57d88fdd\">\u003Ci>\"Which GA4 channels grew the most quarter over quarter, and which lost ground?\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"ed0ae11f6cd19aadc8bb1ac71af7a3483\">\u003Ci>\"Show me new versus returning user behavior by channel in GA4 for the last 30 days.\"\u003C/i>\u003C/li>\u003C/ul>\u003Cp>Cross-channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"ee6d916373bbc60e97ee8857fd68b6110\">\u003Ci>\"Build a cross-channel performance report combining GA4 and Google Search Console: organic clicks and impressions from GSC next to sessions and conversions from GA4, by landing page.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e0ae8594f3a5b751becb8d618e96328f9\">\u003Ci>\"How much did we spend across Google Ads, Meta, and LinkedIn last month, and what did GA4 record in conversions and revenue for each?\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e085ffc9c50acec2a892cc19751f71e0b\">\u003Ci>\"Which channel had the best return last month: blended ROAS across all paid sources, ranked.\"\u003C/i>\u003C/li>\u003C/ul>\u003Ch3>Client reporting and summaries\u003C/h3>\u003Cp>When you need a fast read across an account, or a portfolio view across clients.\u003C/p>\u003Cp>Single channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e977a576959a476e410721f02fc03cbf5\">\u003Ci>\"Give me an executive summary of this client's GA4 performance for the last 14 days: headline traffic, top converting pages, and anything worth flagging.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"ef0f59f185d26c917207d719f0b204717\">\u003Ci>\"What were the top 5 landing pages by conversions for this client this month, and how did they move versus last month?\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e8ec04184eb481dc5f5eca88ff1d8fbb9\">\u003Ci>\"Summarize the key traffic and conversion trends in this client's GA4 property for the last 30 days in plain language I can paste into an email.\"\u003C/i>\u003C/li>\u003C/ul>\u003Cp>Cross-channel:\u003C/p>\u003Cul>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e1e5bb78c947dca92d0ea8dcc207efd80\">\u003Ci>\"Summarize this client's full performance last month across GA4, Google Ads, and Meta from Report [name]: spend, conversions, blended ROAS, and the two biggest wins and concerns.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"ee8cd9a7219ef5ccd1c491e86032e2d41\">\u003Ci>\"Give me a GA4 performance summary across all client properties for last month, ranked by conversion growth, so I know which accounts to dig into first.\"\u003C/i>\u003C/li>\u003Cli class=\"ck-list-marker-italic\" data-list-item-id=\"e5794762ca1ccfc093da89de5d56e1039\">\u003Ci>\"For each client, pull GA4 conversions next to total ad spend across all their channels, and flag any where spend went up but conversions went down.\"\u003C/i>\u003C/li>\u003C/ul>\u003Cp>Now you’re all set! \u003Ca href=\"https://live.whatagraph.com/auth/register\">Sign up for a 14-day free trial with Whatagraph\u003C/a> and start asking questions about your cross-channel and cross-property Google Analytics data - and trust the answers you get.\u003C/p>\u003Cp>Or \u003Ca href=\"https://whatagraph.com/book-a-call\">book a demo\u003C/a> with our team for a personalized walkthrough.\u003C/p>","2026-06-26T12:49:01.605Z","2026-07-30T09:59:02.132Z","2026-07-30T09:59:02.358Z","2026-06-26","svtw3rrr9d07m7uvgzp8dliq",{"id":805,"name":806,"alternativeText":33,"caption":33,"width":566,"height":567,"formats":807,"hash":815,"ext":384,"mime":385,"size":816,"url":817,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":818,"updatedAt":818,"documentId":819,"publishedAt":818,"focalPoint":33},17382,"Google Analytics MCP_Connect Google Analytics to Claude.png",{"thumbnail":808},{"ext":384,"url":809,"etag":810,"hash":811,"mime":385,"name":812,"path":33,"size":813,"width":575,"height":576,"sizeInBytes":814},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Google_Analytics_MCP_Connect_Google_Analytics_to_Claude_7f522dfef2.png","8127f8b65b4b7eb8052b1c1540af6b42","thumbnail_Google_Analytics_MCP_Connect_Google_Analytics_to_Claude_7f522dfef2","thumbnail_Google Analytics MCP_Connect Google Analytics to Claude.png",13.15,13148,"Google_Analytics_MCP_Connect_Google_Analytics_to_Claude_7f522dfef2",792.42,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Google_Analytics_MCP_Connect_Google_Analytics_to_Claude_7f522dfef2.png","2026-06-26T12:46:26.176Z","so8aluf8lzry25wo82wwkhk8",{"id":586,"name":587,"about":588,"email":589,"createdAt":590,"updatedAt":591,"publishedAt":592,"slug":593,"linkedin_url":594,"documentId":595},{"id":115,"title":691,"slug":692,"subheading":693,"createdAt":694,"updatedAt":695,"publishedAt":696,"documentId":697},{"id":823,"title":824,"slug":825,"summary":826,"body":827,"read_time":23,"createdAt":828,"updatedAt":829,"publishedAt":830,"errors":33,"table_of_contents":34,"dateReorder":831,"documentId":832,"cover_image":833,"author":849,"article_category":850},2966,"11 Best Databox Alternatives in 2026: Reviews & Pricing","databox-alternatives-and-competitors","\u003Cp>Databox is a great data analytics tool, but users say the platform can be clunky and unreliable, with poor customer support that takes weeks to reply to emails.\u003C/p>\u003Cp>To help you find the best Databox alternative, we did three things:\u003C/p>\u003Col>\u003Cli>Spoke with our customers who previously used Databox.\u003C/li>\u003Cli>Scoured online reviews and community forums for the best alternatives.\u003C/li>\u003Cli>Consulted our data engineers for technical details of each alternative.\u003C/li>\u003C/ol>\u003Cp>Full disclosure—one of these tools is ours. But that’s because we genuinely believe Whatagraph can ease the pains you're facing with Databox.\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 the article, we hope you’ll find a Databox alternative that fits your needs—whether it’s us or not. \u003C/p>","\u003Cp>We scoured G2, Capterra, and other review websites and these are the most common reasons why you might look for a Databox alternative:\u003C/p>\u003Cp>❌  \u003Cstrong>Clunky interface with a steep learning curve:\u003C/strong> Databox gets compared favorably to other tools once you're inside it, but getting there is the problem. Reviewers on Capterra consistently describe the interface as \"clunky and difficult to use,\" and the dashboard builder has enough UI friction (elements that only move after hovering over a specific crosshair, for example) that setup takes longer than it should.\u003C/p>\u003Cp>❌  \u003Cstrong>Templates and widgets break often:\u003C/strong> One agency owner on Capterra ran a soft launch with five clients, spent two years dealing with constant template breaks and metrics that stopped working, and ultimately left the platform. On G2, the same story: \u003Ca href=\"https://www.g2.com/products/databox-databox/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">\"After 2 years I left. Templates always break, individual metrics always break, lack of good support.\"\u003C/a> When a client-facing databoard breaks mid-month, you're waiting on Databox's support team while your client is staring at wrong numbers.\u003C/p>\u003Cp>❌  \u003Cstrong>AI features locked behind expensive plans with hard caps:\u003C/strong> Databox's AI Performance Summaries are only available on Growth or Premium plans, with quota limits of 6,000 summaries monthly and 800 per day for Agency accounts. Hit your daily cap and you wait until midnight UTC. Hit your monthly cap and you're blocked until next month.\u003C/p>\u003Cp>\u003Cstrong>❌   System outages: \u003C/strong>Databox users suffer from prolonged and frequent platform outages, some \u003Ca href=\"https://www.capterra.com/p/154024/Databox/reviews/Capterra___4498507/\" target=\"_blank\" rel=\"noopener noreferrer\">lasting up to 3 weeks\u003C/a>. Even when the platform works, client-facing reports and metrics break very often, causing frustration.\u003C/p>\u003Cp>\u003Cstrong>❌   Inaccurate data: \u003C/strong>Due to these system outages and unstable integrations, users say their reports often show incorrect data. Others say simple calculations were “wrong too often” and that they had to manually calculate metrics. This is dangerous if you're an agency as inaccurate data can cost you your client’s trust (and their business).\u003C/p>\u003Cp>\u003Cstrong>❌   Poor customer support:\u003C/strong> 90% of Capterra and G2 reviews complain about Databox's “\u003Ca href=\"https://www.capterra.com/p/154024/Databox/reviews/SoftwareAdvice___6331522/\">terrible support and customer service\u003C/a>”. Emails are ignored and critical issues take months to fix. \u003C/p>\u003Cp>---\u003C/p>\u003Cp>Sounds like a lot? That’s what we’re here for. \u003C/p>\u003Cp>In this article, we’ll take you through 11 best Databox alternatives that are easier to use, more stable, and come with great customer support. \u003C/p>\u003Ch2>11 Best Databox Alternatives and Competitors in 2026\u003C/h2>\u003Cp>In a nutshell, here are the 11 best Databox alternatives we’ll review in this article:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Tool\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Best for\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Pricing\u003C/strong>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Whatagraph\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Agencies needing a stable, governed data layer with AI reporting\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cp class=\"p1\">Check our \u003Ca href=\"https://whatagraph.com/pricing\">\u003Cspan class=\"s1\">pricing page\u003C/span>\u003C/a> for the most up-to-date information\u003C/p>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Klipfolio\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Large data teams needing centralized metric governance\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Free; paid from $120/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Tableau\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Enterprise teams needing deep BI and predictive analytics\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $15/user/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Looker Studio\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Freelancers and Google-centric teams on a budget\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Free; Pro at $9/user/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Geckoboard\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Teams needing live KPIs on office or remote dashboards\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $119/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">DashThis\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Small agencies needing fast, template-based reports\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $44/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Grow\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Mid-to-large teams needing built-in ETL and data storage\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Custom pricing only\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">NinjaCat\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Large agencies needing a warehouse-centric, AI-driven platform\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From ~$1,500/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Cyfe\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Boutique SEO agencies on a tight budget\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $29/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Improvado\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Enterprise data teams needing volume-based ETL and governance\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Custom pricing only\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Tapclicks\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Large agencies needing a full marketing operations platform\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Custom pricing only\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp> \u003C/p>\u003Cp>Let’s dive into each of these tools.\u003C/p>\u003Ch2>1. Whatagraph\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Mid-size marketing agencies and multi-location businesses that want one governed data foundation and reporting for their cross-channel marketing data\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_best_Databox_alternative_192e40a13b.png\" alt=\"Whatagraph - best Databox alternative.png\">\u003C/p>\u003Cp> \u003C/p>\u003Cp>If you're leaving Databox because widgets and templates keep breaking, the data doesn't add up, or you're hitting a wall every time you need to report across multiple client accounts, Whatagraph is built for exactly that gap.\u003C/p>\u003Cp>Whatagraph is a marketing intelligence platform with one governed data foundation that powers your client reports, internal dashboards, and your favorite AI tools - all from the same business logic and definitions you set up. \u003C/p>\u003Cp>Here's what that looks like in practice:\u003C/p>\u003Cp>\u003Cstrong>1. Bring all your cross-channel marketing data into one governed data hub\u003C/strong>\u003C/p>\u003Cp>Whatagraph connects to \u003Ca href=\"https://whatagraph.com/integrations\">60+ native integrations\u003C/a> across paid media, SEO, social, analytics, CRM, ecommerce, and email.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Connect_data_sources_Linked_In_Ads_reporting_tool_9c6ea10bd1.png\" alt=\"Connect Data Sources - Selection of marketing data sources shown on the screen.\">\u003C/p>\u003Cp>Unlike tools that route data through third-party pipelines, Whatagraph manages every integration in-house. If something breaks, our product team fixes it - not a middleware vendor you have no visibility into. Connectors are self-healing: bugs are patched by Whatagraph's engineers before most users notice them.\u003C/p>\u003Cp>This means you don’t need to babysit connectors or spend hours (or days) waiting to hear back from customer support. Plus, your clients won’t see broken connectors or widgets.\u003C/p>\u003Cp>In fact, this is the biggest advantage \u003Ca href=\"https://www.linkedin.com/in/lindavbaal/\" target=\"_blank\" rel=\"noopener noreferrer\">Linda van Baal\u003C/a>, Online Marketing Consultant at \u003Ca href=\"https://whatagraph.com/case-studies/yourfellow\" target=\"_blank\" rel=\"noopener noreferrer\">YourFellow\u003C/a> saw when they switched to Whatagraph. She says:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Whatagraph saves me at least half a day a week and it's so much easier and faster than Funnel and Looker Studio. But the biggest advantage is that all our data is now in one tool—everyone knows where to find everything because it’s in one place.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Cstrong>2. Define your metrics once and trust them everywhere\u003C/strong>\u003C/p>\u003Cp>If you're running campaigns across Google Ads, Meta, LinkedIn, and more, you know how much time goes into making those numbers agree with each other.\u003C/p>\u003Cp>Every platform uses different naming conventions, different conversion definitions, different ways of counting a conversion. And usually you'd spend more time reconciling them (or there's no easy way to reconcile them) on your reporting tool.\u003C/p>\u003Cp>Whatagraph's Data Hub lets you define what things mean once - then that definition carries through every report, every client, every channel.\u003C/p>\u003Cp>You can use \u003Ca href=\"https://help.whatagraph.com/en/articles/9971629-source-groups-aggregate-metrics-across-multiple-data-sources\">Source Groups\u003C/a> to combine multiple ad accounts (e.g. Google Ads) into one aggregated source, and to combine similar data from different channels like “Total Ad Spend” from all your PPC channels.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Source_groups_on_Whatagraph_marketing_agency_reporting_tools_9992be59a9.png\" alt=\"Source groups on Whatagraph - marketing agency reporting tools.png\">\u003C/p>\u003Cp>\u003Ca href=\"https://help.whatagraph.com/en/articles/8271915-how-to-set-up-and-apply-custom-metrics\">Custom metrics\u003C/a> let you build cross-channel KPIs from a simple formula builder - for example, ROAS, cost per lead, LinkedIn frequency, whatever you name it. You can then add these custom metrics easily to your reports.\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\">You can also rename the name of the metrics easily on your reports. Drew Cove, Senior SEO Manager at \u003Ca href=\"https://www.digitalparc.com/\" target=\"_blank\" rel=\"noopener noreferrer\">DigitalParc\u003C/a>, puts it simply:\u003C/p>\u003Cp>[quote color-variant=\"2\"]\u003Cbr>We use Whatagraph for all our client's reports. The ability to title metrics differently is important to us because we often report the same metrics to different clients and just need to call them differently because many clients have internal terminology that is very different from one another.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Custom dimensions standardize how data is categorized across channels, so campaign types, regions, or audience segments are labeled the same way regardless of what the source platform calls them. \u003C/p>\u003Cp>If you need a new dimension built quickly, Whatagraph IQ generates one from a text prompt - choose your channels and describe what you need, and you’ll get a custom dimension in seconds.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/IQ_dimensions_Linked_In_Ads_MCP_1c662a4859.png\" alt=\"IQ dimensions - LinkedIn Ads MCP.png\">\u003C/p>\u003Cp>\u003Cstrong>3. Scale reporting without scaling your team\u003C/strong>\u003C/p>\u003Cp>Agencies spend too much time building reports from scratch, and that problem compounds with every new client.\u003C/p>\u003Cp>With Whatagraph, you build a report template once - one for lead gen clients, one for ecommerce, one for paid media for example - and reuse it every time a new client comes in. \u003C/p>\u003Cp>Then you link those reports to one master template. Add a new tab, update a metric, change a widget layout - every linked report updates automatically. You make the change once, it goes everywhere.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/linked_reports_Google_ads_reporting_tool_f573dadac9.png\" alt=\"linked reports - Google ads reporting tool.png\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.maatwerkonline.nl/\" target=\"_blank\" rel=\"noopener noreferrer\">Maatwerk Online\u003C/a>, a 41-person Dutch agency managing over 100 clients, saves more than 100 hours a month with this approach. This is the time that the agency now has to focus on optimizing campaigns, strengthening relationships with clients, and even onboarding new ones.\u003C/p>\u003Cp>Co-Founder \u003Ca href=\"https://www.linkedin.com/in/larsmaat/\" target=\"_blank\" rel=\"noopener noreferrer\">Lars Maat\u003C/a> says:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>Whatagraph is saving so much time and energy for our marketing specialists. We now have more time to focus on strategic things that help both our agency and our clients grow.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>Even better - with \u003Ca href=\"https://whatagraph.com/whatagraph-iq\">Whatagraph IQ\u003C/a>, you can ask AI to build a report for you from scratch.  Choose your channels, type a prompt, and it generates a complete report from your connected data. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_IQ_report_creation_922663f4a7.gif\" alt=\"Here's my generated alt text:\n\nWhatagraph IQ Report Creation - A web interface with a sidebar and a search bar.\n\">\u003C/p>\u003Cp>Need a performance summary inside the report? IQ writes it automatically - no hallucinations, because it's pulling from your actual data, not making it up.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Performance_summary_Active_Campaign_reporting_tool_ee7bbe6a36.png\" alt=\"ActiveCampaign Reporting Tool - A summary of metrics and recommendations related to email marketing.\">\u003C/p>\u003Cp>Have dozens of clients or locations? Easily consolidate all your connected data sources and reports inside a dedicated folder for each client, Account Manager, location, or whatever makes sense for your business.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Spaces_on_Whatagraph_528b462b9b.png\" alt=\"Spaces On Whatagraph - Screenshot of a dashboard with space management and reporting features.\">\u003C/p>\u003Cp>Another key feature that \u003Cstrong>ex-Databox users love about Whatagraph\u003C/strong> is our \u003Ca href=\"https://help.whatagraph.com/en/articles/6389747-how-to-create-a-source-filter-and-a-source-variant\">Source Filter\u003C/a>.\u003C/p>\u003Cp>Previously, you’d have to apply the same filter widget by widget—painful if you’ve got 20 Facebook widgets in one report.\u003C/p>\u003Cp>Now, with Whatagraph’s Source Filter,  you apply the filter once at the source level, and it updates across every widget instantly. That means less time clicking around, and more time actually analyzing your data.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/source_filters_3fed8afe89.gif\" alt=\"source filters.gif\">\u003C/p>\u003Cp>\u003Cstrong>4. Send reports, answer questions, and query your data - all from the same foundation\u003C/strong>\u003C/p>\u003Cp>Once you've defined your data and built your templates, that same foundation powers every output your team needs.\u003C/p>\u003Cp>Client reports go out as white-labeled live links with a custom domain, password protection, and optional IQ Chat - so clients can ask questions about their own data without emailing your team.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_report_share_IQ_Chat_feature_7dfd028912.png\" alt=\"Whatagraph Report Share IQ Chat Feature - Report sharing options with IQ Chat enabled.\">\u003C/p>\u003Cp>Performance Overviews give teams a filterable view across the entire client book, sliced by account manager, region, or client tier. Goals and alerts notify you via Slack or email when something goes off-track mid-month, not at the end of the month when there's nothing left to do.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Performance_overview_f188b1b35b.webp\" alt=\"Performance overview.webp\">\u003C/p>\u003Cp>Whatagraph also connects to Claude, ChatGPT, and any MCP-compatible AI tool via \u003Ca href=\"https://whatagraph.com/mcp\">Whatagraph MCP\u003C/a>. Ask your AI assistant: \"Which clients are pacing behind on spend this month?\" and it answers from your actual governed data - not a raw API call stitching numbers together on the fly. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_MCP_1e34080fac.gif\" alt=\"Whatagraph MCP.gif\">\u003C/p>\u003Cp>Whatagraph's MCP sits on top of a governed semantic layer, so the number your AI returns is the same number in your client report. Setup takes five minutes, no code required.\u003C/p>\u003Cp>\u003Cstrong>5. Fast and friendly customer support\u003C/strong>\u003C/p>\u003Cp>Using a \u003Ca href=\"https://whatagraph.com/blog/articles/best-marketing-analytics-tools\">marketing analytics tool\u003C/a> can be overwhelming. There are times you just need some (or a lot) of help from a product expert to get the platform up and running the way you want it to. \u003C/p>\u003Cp>At Whatagraph, customer success is our lifeblood, and our customers appreciate that. \u003C/p>\u003Cp>Kim Strickland, Digital Marketing Specialist at \u003Ca href=\"https://peakseven.com/\" target=\"_blank\" rel=\"noopener noreferrer\">Peak Seven\u003C/a> says:\u003C/p>\u003Cp>[quote color-variant=\"3\"]\u003Cbr>I've joked about this often—with Whatagraph, we're not paying for a reporting system. We're paying for customer support. There's a level of dedication from the Whatagraph team that you don't often experience anywhere else.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/case-studies/peak-seven\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>And Stef Oosterik, Quality Manager at \u003Ca href=\"https://dtchdigitals.com/nl/\" target=\"_blank\" rel=\"noopener noreferrer\">Dtch. Digitals\u003C/a> said in 9 out of 10 cases, issues get resolved within a day. \u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>The support team is very responsive. This makes it easy for us to give feedback, think of solutions, and get the right data visible for clients quickly.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/case-studies/dtch-digitals\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>For teams that need more tailored guidance, dedicated Customer Success Managers (CSMs) are available on advanced plans. CSMs work with you on migrations, onboarding, and building reporting workflows that scale.\u003C/p>\u003Cp>Convinced Whatagraph is the right Databox alternative for you? \u003Ca href=\"https://live.whatagraph.com/auth/register\" target=\"_blank\" rel=\"noopener noreferrer\">Start a free trial today\u003C/a>.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e2d799375793000610789bba89e01384a\">60+ stable native integrations across paid ads, social, SEO, email, and more\u003C/li>\u003Cli data-list-item-id=\"e0d7f5030ff1c73bcc7730e4f32dd1140\">Custom integrations via API, Google Sheets, or BigQuery\u003C/li>\u003Cli data-list-item-id=\"e0e86f81c559674a77e0e99bc10ea0a42\">Whatagraph IQ – AI-powered reporting tools\u003C/li>\u003Cli data-list-item-id=\"e24d3427a4f4c86916213c402a160bedc\">Whatagraph MCP connector for Claude or ChatGPT\u003C/li>\u003Cli data-list-item-id=\"e4e09ac845c3e186e4898ffbcfde804ff\">Custom metrics, dimensions, and data blends\u003C/li>\u003Cli data-list-item-id=\"eb86f2e9d354c1240590fd7e19576d812\">Performance monitoring overview \u003C/li>\u003Cli data-list-item-id=\"ee994bd45024a9d6764e924f80d324abd\">Library of pre-made dashboard and report templates \u003C/li>\u003Cli data-list-item-id=\"e60aed1b987725b87a98d0eff619c5189\">Linked reports for easier editing\u003C/li>\u003Cli data-list-item-id=\"e760fbb0a39f12ed62e4b744e91f89000\">Spaces – organize reports with descriptions, colors, and better team alignment\u003C/li>\u003Cli data-list-item-id=\"e44abb9b62e21a536b044fed1955cfe2f\">Custom branding and white labeling\u003C/li>\u003Cli data-list-item-id=\"efe7d94436ebc41c9887f9290ecb15f9d\">Automated report sharing via email or live dashboard links\u003C/li>\u003Cli data-list-item-id=\"e021ca57483e4214f415915adebc9aa0a\">Exports: PDF, Excel, CSV, or transfer directly to BigQuery/Looker Studio\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Whatagraph Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\u003Cstrong>Whatagraph Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"It's easy to use and intuitive. I enjoy how things aren't hidden in menus, and the AI reporting is very on point.\" (\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-8091020\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"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\">Source\u003C/a>)\u003C/p>\u003Cp>\"The edit section of each widget is easy to update, from changing colors to adding logos and images from the different platforms we use, like GA4.\" (\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-12569787\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>Whatagraph pricing\u003C/h3>\u003Cp>Whatagraph's pricing scales with how much data you actually use rather than how many people are on your team, and every plan includes unlimited users and unlimited reports. Check the\u003Ca href=\"https://whatagraph.com/pricing\"> pricing page\u003C/a> for a full breakdown by plan.\u003C/p>\u003Ch2>2. Klipfolio\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Large data teams at companies and large agencies that need centralized governance.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Klipfolio_report_7a7296329f.png\" alt=\"Klipfolio report - Whatagraph\">\u003Cbr>\u003Ca href=\"https://whatagraph.com/blog/articles/klipfolio-alternatives-and-competitors\">Klipfolio\u003C/a> is a hybrid of a data analytics platform and a traditional business intelligence tool, and remains one of the most powerful Databox alternatives because it governs data through two core products:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e806884042bbeda2592006c0a05e9fc59\">\u003Cstrong>PowerMetrics: \u003C/strong>This is a centralized metric catalog; unlike Databox, where metrics are often built on a per-dashboard basis, PowerMetrics allows your data team to define a \"certified\" metric (like LTV or CAC) once. Every department then uses that same standardized calculation for their reports.\u003C/li>\u003Cli data-list-item-id=\"e15878485d6fb0d6bccae15237f0c3511\">\u003Cstrong>Klips: \u003C/strong>These are the highly customizable blank canvas dashboards. With over 130 native integrations and a solid REST/URL connector, Klips can pull data from proprietary or obscure sources that Databox simply doesn't support.\u003C/li>\u003C/ul>\u003Cp>In 2026, AI Insights expanded across both products. Goal tracking flags when targets are at risk, anomaly detection explains what caused a metric to shift in plain English, and forecast modeling generates forward-looking projections from historical trends. \u003C/p>\u003Cp>PowerMetrics also added an MCP Server in beta, connecting Claude or ChatGPT to the governed metric catalog rather than raw connector data, closer to a governed approach than most competitors offer.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e07749aeb9ce71b3d69238270a069a1f8\">130+ integrations, including warehouses, SQL databases, and file-sharing services\u003C/li>\u003Cli data-list-item-id=\"e4bc3b825b2fa9925b07321332d3a4d87\">PowerMetrics governed metric catalog\u003C/li>\u003Cli data-list-item-id=\"ea017a410d573cdb1a119f09d99315c0d\">AI Insights: goal tracking, anomaly detection, forecast modeling\u003C/li>\u003Cli data-list-item-id=\"e01982ee2540425b86ab67f3731c0b170\">PowerMetrics MCP Server (Beta)\u003C/li>\u003Cli data-list-item-id=\"e27ef1ee9f6550abcafbacfa506c310e4\">Custom metrics, dimensions, and data blending\u003C/li>\u003Cli data-list-item-id=\"edcf230eb08aa41d97115c57a14504e16\">Scheduled reports with PDF and CSV export\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Klipfolio Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"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).\" (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-11750230\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"It's very intuitive, and the UI is clean. The integration capabilities are nice.\" (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-10718841\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Every time I contact support, I get the impression that I am bothering them. I will not be renewing this platform because I do not feel valued as a customer.\" (\u003Ca href=\"https://www.g2.com/products/klipfolio/reviews/klipfolio-review-10028175\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>\u003Cstrong>Klipfolio Pricing\u003C/strong>\u003C/h3>\u003Cp>Klipfolio’s pricing has stabilized into four main tiers (billed annually):\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e9eaed61993f8c8c304ede7f2267a17f2\">\u003Cstrong>Base ($120/month, billed annually):\u003C/strong> 3 dashboards, 130+ integrations, 4-hour data refresh, unlimited users\u003C/li>\u003Cli data-list-item-id=\"e650185452bb7d805fd445395364d3449\">\u003Cstrong>Grow ($190/month):\u003C/strong> 10 dashboards, 1-hour refresh\u003C/li>\u003Cli data-list-item-id=\"ee5e144b5a34edfd3a88b14a3975cb404\">\u003Cstrong>Team ($310/month): \u003C/strong>20 dashboards, 15-minute refresh, SSO\u003C/li>\u003Cli data-list-item-id=\"e0b8d378d2c33bde74d37af682f531bad\">\u003Cstrong>Team+ (~$600/month):\u003C/strong> 40+ dashboards, priority support, custom onboarding\u003C/li>\u003C/ul>\u003Cp>But these top-ups and add-ons can significantly raise your overall costs:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e903a1fdfcd1635f2a1a28ba9e5da4432\">\u003Cstrong>Extra dashboards: \u003C/strong>$8/month (billed annually)\u003C/li>\u003Cli data-list-item-id=\"e9ba61452d28cdf912fedfc2167e188b8\">\u003Cstrong>Warm-up data refresh:\u003C/strong> $39/month (billed annually)\u003C/li>\u003Cli data-list-item-id=\"ebbfea25899f7f599d77455b98228fcb1\">\u003Cstrong>Near-real-time data refresh queue:\u003C/strong> $139/month (billed annually)\u003C/li>\u003Cli data-list-item-id=\"e0aa8341c6cd1c15c2f052bbd3b2eea5c\">\u003Cstrong>Custom domain:\u003C/strong> $69/month (billed annually)\u003C/li>\u003C/ul>\u003Ch2>3. Tableau\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Large enterprise data teams that need complex multi-source modeling and predictive analytics.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/tableau_interface_bf505c624f.png\" alt=\"tableau-interface.png\">\u003Cbr>Tableau remains the market leader for heavy-duty business intelligence—while Databox excels at quick-glance marketing KPIs, Tableau is built to handle millions of rows across diverse departments.\u003C/p>\u003Cp>The biggest shift for 2026 is Tableau Next. Unlike Databox’s static alerts, Tableau now uses AI Agents to autonomously monitor data and generate semantic models from raw workspaces.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Tableau_Next_2c01e27568.png\" alt=\"Tableau Next - Diagram showing workflow from data sources through analysis to action.\">\u003C/p>\u003Cp>\u003Ca href=\"https://cloudcacheconsulting.com/blog/understanding-tableau-next-the-future-of-analytics\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>For a powerful data analysis tool, Tableau is still easy to use with a drag-and-drop interface and visual query builder. You can generate insights quickly and share them with stakeholders through reports.\u003C/p>\u003Cp>While \u003Ca href=\"https://help.databox.com/benchmark-your-data\">Databox is sunsetting its Benchmark Groups in April 2026\u003C/a>, Tableau has doubled down on Tableau Pulse to provide a personalized newsfeed of your most critical metrics directly in Slack, Teams, or email.\u003C/p>\u003Cp>You can perform complex data analysis, uncover trends, and identify opportunities for optimization using features such as trend lines, forecasting, and clustering.\u003C/p>\u003Cp>What’s more? Tableau boasts quite a large and active user community called “Tableau Community Forums” with a wealth of resources, forums, and online training materials to help you learn the platform and troubleshoot issues.\u003C/p>\u003Cp>You can also purchase “Success Plans” that come with personalized training and support.\u003C/p>\u003Cp>However, Tableau is (a lot) more expensive than Databox as it’s mainly for enterprises.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e19c3ee8f67e4cd8591cc468d952fc3da\">90+ integrations, including databases and cloud platforms\u003C/li>\u003Cli data-list-item-id=\"eceec898ddc9ad874b5561f870655dd2e\">Tableau Pulse with Pace to Goal insight\u003C/li>\u003Cli data-list-item-id=\"e278f4121bdb487560d8364405ab3ce59\">Tableau Agent: natural language calculations and visualizations (Tableau Next only)\u003C/li>\u003Cli data-list-item-id=\"e0e2524575174008c2f3a40112c816296\">Auto-generated semantic models (Beta, Tableau Next)\u003C/li>\u003Cli data-list-item-id=\"efc1df5f84dee2a4fcb6d1bd6b0c7cd94\">Drag-and-drop dashboard interface\u003C/li>\u003Cli data-list-item-id=\"ef2441336d95f3de9da7bc66eb2a2d138\">Trend lines, forecasting, and clustering\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Tableau Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"It connects to a wide range of sources (databases, Excel, cloud platforms), which is great in complex enterprise environments.\" (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-12973629\">Source\u003C/a>)\u003C/p>\u003Cp>\"It helps me turn raw Excel data into clear, attractive visuals, including charts, maps, graphs, and dashboards.\" (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-12973414\">Source\u003C/a>)\u003C/p>\u003Cp>\"The other part of the story is that the pricing feels a bit on the higher side, especially for the small teams.\" (\u003Ca href=\"https://www.g2.com/products/tableau/reviews/tableau-review-12975791\">Source\u003C/a>)\u003C/p>\u003Ch3>Tableau pricing\u003C/h3>\u003Cp>Tableau runs a higher bill than most tools on the list because it charges per-user, including a fee just for people to view the reports.\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"efcefd41a5935cf0f8200c572363c37f0\">\u003Cstrong>Tableau ($15/user/month, billed annually): \u003C/strong>browser-based web authoring, Tableau Desktop, Prep Builder, Tableau Pulse\u003C/li>\u003Cli data-list-item-id=\"e4f33b6536d00860d98b78982e9177b62\">\u003Cstrong>Tableau Enterprise (from $35/user/month):\u003C/strong> everything in Tableau, plus advanced management and data management\u003C/li>\u003Cli data-list-item-id=\"e3247acc02870427d1039403a3437a15b\">\u003Cstrong>Tableau Cloud+ (contact sales):\u003C/strong> everything in Enterprise, plus Tableau Agent, Premier Success, 50 sites\u003C/li>\u003Cli data-list-item-id=\"e46603682cf9b0baee0019f116bdad49c\">\u003Cstrong>Tableau+ Bundle (contact sales):\u003C/strong> everything in Cloud+, plus Tableau Next agentic analytics\u003C/li>\u003C/ul>\u003Ch2>4. Looker Studio (a.k.a. Google Data Studio)\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Freelancers and boutique agencies who want a budget-friendly, Google-native reporting hub.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/looker_studio_interface_7fa5c8dbfc.png\" alt=\"looker-studio-interface.png\">\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/google-data-studio-alternatives\">Looker Studio\u003C/a> is often the first alternative marketers turn to when Databox’s pricing becomes prohibitive. \u003C/p>\u003Cp>For Google Ads, GA4, and Search Console, Looker Studio is significantly more reliable than third-party platforms. Many ex-Databox users we’ve talked to move to Looker because native Google connectors rarely \"break\" compared to the API middleware used by other tools.\u003C/p>\u003Cp>Once your data sources are connected, you can use Looker’s drag-and-drop report editor to ad:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e4815a2c53d6d01b7411fda2f3e8ed107\">Charts, line bars, pie charts, geo maps, area and bubble graphs, data tables, pivot tables\u003C/li>\u003Cli data-list-item-id=\"ee6ab6b27dbf482a26bf414235ef0ac52\">Filters and date range controls\u003C/li>\u003Cli data-list-item-id=\"ea68fa3a61803632659e627eeed07b25d\">Links and clickable images\u003C/li>\u003Cli data-list-item-id=\"e45c0725030b1ee56d015aa8e55c59eb6\">Custom text and images\u003C/li>\u003Cli data-list-item-id=\"e7ec5a1715526a67e8f0c12264f89a35f\">Custom styles and color themes\u003C/li>\u003C/ul>\u003Cp>You can then invite teams or clients to view or edit your reports, or send them links in scheduled emails. \u003C/p>\u003Cp>The biggest 2026 update fixes one of the platform's longest-standing complaints: cross-data source filtering. \u003C/p>\u003Cp>A single filter control can now filter charts pulling from different data sources simultaneously, so a report combining Google Analytics and Google Sheets data finally needs just one date picker instead of two. Gemini conversational analytics also rolled out on the Pro plan, letting you ask natural-language questions and get help building calculated field formulas.\u003C/p>\u003Cp>Once you move beyond Google's own platforms, the cracks show. Pulling in Meta, TikTok, or LinkedIn data requires paying for third-party \"Partner Connectors,\" which can run $20 to $350+ a month depending on data volume, so the \"free\" tool often isn't free in practice for multi-platform marketing teams.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"efd237619aaeb37f99426ea07be82b524\">21 native Google connectors (free), 1,000+ partner connectors (paid)\u003C/li>\u003Cli data-list-item-id=\"ee67141f83ba190cc31ac2e046d893bc3\">Cross-data source filtering across multiple sources\u003C/li>\u003Cli data-list-item-id=\"ef5f4844c593043c379693bc83a031cdb\">Gemini conversational analytics\u003C/li>\u003Cli data-list-item-id=\"ebafbf2aa60932e43a269d3de3e5c3838\">Code Interpreter for Python analysis\u003C/li>\u003Cli data-list-item-id=\"ea85e869bc35d3c7a85efa2c5141550b5\">Drag-and-drop report builder\u003C/li>\u003Cli data-list-item-id=\"e0a5b0cdaec59e0beecd174088da53b1c\">Mobile app\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Looker Studio Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"I use it for marketing reporting, and it's difficult, but it's free and works.\" (\u003Ca href=\"https://www.reddit.com/r/GoogleDataStudio/comments/1lyjax6/comment/n2uub1m/\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"For small to mid-sized marketing clients, Looker Studio is our choice for visualization. We use it with Supermetrics to pull data where needed.\" (\u003Ca href=\"https://www.reddit.com/r/GoogleDataStudio/comments/1lyjax6/comment/n324d3o/\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Onboarding new users isn't easy because there are too many fields (in our case), but I think it is a common issue with these tools.\" (\u003Ca href=\"https://www.g2.com/products/looker/reviews/looker-review-12713431\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>Looker Studio pricing\u003C/h3>\u003Cul>\u003Cli data-list-item-id=\"ee09ff1474d9d1ae6a0cbf31a1f26f39d\">\u003Cstrong>Free version:\u003C/strong> Unlimited reports, Google connectors only.\u003C/li>\u003Cli data-list-item-id=\"e3e4aee3414c4a917db0ca68683c6577e\">\u003Cstrong>Looker Studio Pro at $9 per user, per month: \u003C/strong>This gives you access to organizational ownership, Team Workspaces, Gemini AI, and priority support.\u003C/li>\u003C/ul>\u003Cp>While the platform can be free, your total monthly bill might be higher than Databox once you add non-Google data.\u003C/p>\u003Cp>To pull data from Meta Ads, TikTok, or LinkedIn, you must pay for third-party \"Partner Connectors\" like Supermetrics or Windsor.ai. In 2026, these can cost anywhere from $30 to $500+/month, depending on your data volume.\u003C/p>\u003Ch2>5. Geckoboard\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Medium to large businesses in customer service, sales, and ecommerce that need high-visibility office or remote dashboards.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=_dW8vkjvzaI\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/_dW8vkjvzaI\" 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/geckoboard-alternatives-and-competitors\">Geckoboard\u003C/a> is designed to solve data silos by making key metrics unmissable - unlike Databox, which is often used for deep-dive analysis, Geckoboard is built for live monitoring. If a metric drops below a threshold, your entire team sees it in real time.\u003C/p>\u003Cp>Geckoboard’s killer feature over Databox is its TV-first architecture:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ec2eac754d87f75ea5ba948d449987270\">\u003Cstrong>TV dashboards:\u003C/strong> Optimized for wall-mounted screens with high-contrast themes and rotating dashboard loops.\u003C/li>\u003Cli data-list-item-id=\"ea908f6bd889b4da1bab11eaaa4212358\">\u003Cstrong>KPI notifications: \u003C/strong>You can set success or warning indicators. So if your Shopify sales hit a specific goal or your Zendesk queue gets too long, Geckoboard sends an automated alert to Slack or Microsoft Teams within 60 seconds of the data change.\u003C/li>\u003Cli data-list-item-id=\"e46cb3b5b068a75e7bb4316ba68f0fec1\">\u003Cstrong>Mobile-friendly:\u003C/strong> While it's great for TVs, the 2026 mobile app has been redesigned to offer scorecard views for managers who need to check KPIs between meetings.\u003C/li>\u003C/ul>\u003Cp>In 2026, Geckoboard shipped its first new visualization type in years: stacked column charts, which show a total value and its breakdown in one widget instead of two. March 2026 also brought Custom Dashboard Templates, the closest thing Geckoboard has to linked templates, letting you build a dashboard once and generate synced copies, though this currently only works for Zendesk, Aircall, and HubSpot data.\u003C/p>\u003Cp>The tradeoff is depth. Unlike Whatagraph, you can't create custom data blends, metrics, or dimensions on Geckoboard, and adding each widget means a manual click-through process, choosing the metric, customizing it, repeating, rather than a true drag-and-drop builder.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e06ca7734fb5e71e4a5704b2ee8de66b4\">90+ integrations across customer service, sales, finance, and ecommerce\u003C/li>\u003Cli data-list-item-id=\"e72715b9a67d85271a7c6a0af945ee23a\">Stacked column charts (new April 2026)\u003C/li>\u003Cli data-list-item-id=\"e1cb5a770d9502686c36c8cf8907f4604\">Custom Dashboard Templates (Zendesk, Aircall, HubSpot)\u003C/li>\u003Cli data-list-item-id=\"e0d0fa4c442af6215d0875aca58145d8d\">KPI notifications via Slack and Microsoft Teams\u003C/li>\u003Cli data-list-item-id=\"e798470935beec45c25658ab758456af7\">TV dashboards with automated rotation\u003C/li>\u003Cli data-list-item-id=\"e43f1d54c4c4f60deb193b278ed0aa43f\">Mobile-friendly dashboards\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Geckoboard Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"There was a PipeDrive report I wanted to use on our office Geckoboard, but I couldn't find a way to upload it.\" (\u003Ca href=\"https://www.softwareadvice.com/bi/geckoboard-profile/\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Quality of output design, the tables are striking, it's also very easy to set up.\" (\u003Ca href=\"https://www.g2.com/products/geckoboard/reviews/geckoboard-review-8409641\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Used Geckoboard before and found it quite poor UX wise; janky, poor variety in visualisation among a host of UX issues.\" (\u003Ca href=\"https://www.reddit.com/r/BusinessIntelligence/comments/1f1380d/alternatives_to_geckoboardklopfoliodatapad/\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>Geckoboard pricing\u003C/h3>\u003Cp>As of May 2026, Geckoboard has updated its pricing to reflect its new feature set. Note that they no longer offer a Free Forever plan for new sign-ups.\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ec5c31fd6264557600bd5c939adb5ae16\">\u003Cstrong>Essentials ($119/month):\u003C/strong> 3+ dashboards, unlimited viewers, all 90+ integrations, real-time data, Slack/Teams/email snapshots\u003C/li>\u003Cli data-list-item-id=\"e109b36d3e962e3940b6449a06f8067b9\">\u003Cstrong>Performance ($399/month):\u003C/strong> 25 dashboards, 5 screens, custom templates, real-time alerts, drilldowns, custom themes\u003C/li>\u003Cli data-list-item-id=\"e90b298ffc4cb82c3ff743cce95556abd\">\u003Cstrong>Enterprise (custom): \u003C/strong>everything in Performance, plus SSO, audit logs, dedicated support manager\u003C/li>\u003C/ul>\u003Ch2>6. DashThis\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Small businesses and freelancers who need automated, professional marketing reports.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=2OMcEE3p2Io\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/2OMcEE3p2Io\" 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>\u003Cbr>\u003Ca href=\"https://whatagraph.com/blog/articles/dashthis-alternatives-and-competitors\" target=\"_blank\" rel=\"noopener noreferrer\">DashThis\u003C/a> is a streamlined marketing reporting tool that connects to 30+ marketing platforms and visualizes KPIs on automated dashboards. While Databox asks you to build widgets from scratch, DashThis gives you the Lego blocks already assembled.\u003C/p>\u003Cp>If you don’t see a built-in integration you need, you can also upload your own data using a nifty CSV file or a Google sheet.\u003C/p>\u003Cp>Once your data is connected, you can visualize it using three key dashboards:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e9f3d95108701e9bac2852c57b92c8881\">\u003Cstrong>Periodic dashboards:\u003C/strong> These are dashboards based on specific time periods and cadence, like daily, weekly, monthly, semi-annually, and annually.\u003C/li>\u003Cli data-list-item-id=\"e7353a0c1a5455e6169930ffc5a17586a\">\u003Cstrong>Campaign dashboards:\u003C/strong> These dashboards are used to isolate and highlight a specific campaign for a custom date range.\u003C/li>\u003Cli data-list-item-id=\"e327fa745495958febffc3f0adfbce1d3\">\u003Cstrong>Rolling dashboards:\u003C/strong> These dashboards show trends of metrics for three different date ranges.\u003C/li>\u003C/ol>\u003Cp>These dashboards are also pre-made, meaning you can quickly get started rather than spending hours building dashboards like on Databox.\u003C/p>\u003Cp>DashThis now includes an AI Insights layer that automatically analyzes your dashboards and generates narrative insights.\u003C/p>\u003Cp>The most recent update closes a real gap: Calculated Widgets now let you build custom metrics by combining values from different integrations with simple math, like blended ROAS from Google Ads and Meta in one number. \u003C/p>\u003Cp>AI Insights also ships free on every plan, automatically generating plain-language commentary as new data arrives.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e15b2b2b97dd2cf5e7167e1b67d1e824d\">30+ native integrations, including newly added Reddit Ads\u003C/li>\u003Cli data-list-item-id=\"e23bdcf1e3776a67235c58a8a280b4d16\">Calculated Widgets for blended, cross-platform metrics\u003C/li>\u003Cli data-list-item-id=\"ef1bc199758caad1825224af5f3424876\">AI Insights (free) and AI Insights Pro add-on (Chat Mode, Dashboard Context)\u003C/li>\u003Cli data-list-item-id=\"e1b0bfccb88e90c315902b6a790ee3d2b\">White-label reporting on Professional plans and above\u003C/li>\u003Cli data-list-item-id=\"e5fafcb9412defc7fab113748fd8854c5\">Pre-built periodic, campaign, and rolling dashboards\u003C/li>\u003Cli data-list-item-id=\"edff534aed4a995b27df407d28c877223\">Report sharing via email, URL, or PDF\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>DashThis Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"The integrations for Google Ads, Google Analytics, LinkedIn Ads, and Meta Ads are helpful.\" (\u003Ca href=\"https://www.g2.com/products/dashthis/reviews/dashthis-review-12732428\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"The dashboards are clean and easy to understand, providing our clients with the insights they need.\" (\u003Ca href=\"https://www.g2.com/products/dashthis/reviews/dashthis-review-12890938\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Unfortunately, a subscription became a little pricey for me; I found I wasn't using the tool enough to warrant the cost.\" (\u003Ca href=\"https://www.capterra.com/p/163170/DashThis/#Capterra___6778960\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>DashThis pricing\u003C/h3>\u003Cp>As of June 2026, DashThis offers three pricing plans, plus an optional add-on:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ef927767e142f48c1982125bcbaf4ccbf\">\u003Cstrong>Individual ($44/month, billed annually):\u003C/strong> 3 dashboards, 15 sources, AI Insights, preset templates\u003C/li>\u003Cli data-list-item-id=\"e0f39fbf0d8a2371a7dbc0c3dda96d6bf\">\u003Cstrong>Professional ($139/month):\u003C/strong> 10 dashboards, 40 sources, custom domain, white-labeled dashboards\u003C/li>\u003Cli data-list-item-id=\"ea9cb697e042a46349697dca11cb3cfe6\">\u003Cstrong>Business ($279/month):\u003C/strong> 25 dashboards, 100 sources, dedicated customer success specialist\u003C/li>\u003Cli data-list-item-id=\"e452df0572b20df5f0518d6dacbfe62be\">\u003Cstrong>AI Insights Pro add-on:\u003C/strong> $15/month annually, adds Chat Mode and Dashboard Context\u003C/li>\u003C/ul>\u003Cp>Starting on March 30th, 2026, DashThis updated its pricing model so that plan tiers reflect both the number of data sources you connect AND the number of dashboards included. This means you’ll pay based on the volume of sources you bring in as well as dashboard capacity, rather than solely on dashboard count or flat tier pricing.\u003C/p>\u003Ch2>7. Grow\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Mid-to-large agencies and enterprises that need to clean, store, and visualize data in one single tool.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/grow_com_interface_0538aa01f4.png\" alt=\"grow-com-interface.png\">\u003C/p>\u003Cp> \u003C/p>\u003Cp>For organizations that find Databox’s lack of a data warehouse or ETL engine limiting, Grow (now an Epicor company) is the heavy-duty alternative.\u003C/p>\u003Cp>You can connect to 100+ data sources through native integrations, including popular CRM platforms, marketing analytics tools, databases, and accounting software.\u003C/p>\u003Cp>Then, you can prepare and cleanse your data using either noSQL or SQL transformations. This includes custom calculations, data blends, and advanced data filters. \u003C/p>\u003Cp>New for this year, the Grow AI predictive engine analyzes your historical data to generate performance forecasts for up to 100 different metrics.\u003C/p>\u003Cp>Plus, Grow stores your data automatically on its platform so you don’t need to ship it to a third-party data warehouse.\u003C/p>\u003Cp>You can create three types of dashboards on Grow:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ef8b90ffc3cdd2fc049cdefa06aadeae9\">\u003Cstrong>Dynamic dashboards\u003C/strong> which display data based on who is logged into the account.\u003C/li>\u003Cli data-list-item-id=\"e7a675d7a15021165055795e863e99495\">\u003Cstrong>Dashboard Blueprints\u003C/strong> which are pre-built, single data source dashboards\u003C/li>\u003Cli data-list-item-id=\"e17f510df26e0a4a073029cc2bb02356f\">\u003Cstrong>Custom and sandbox dashboards\u003C/strong> which shows blended data sources and metrics\u003C/li>\u003C/ul>\u003Cp>But Grow dashboards are designed for internal operations and deep-dive analysis. If you want client-ready one-page reports for a C-Suite that just wants to see three numbers, Whatagraph or DashThis may be a better fit.\u003C/p>\u003Cp>You can then share them through emails, shareable URLs, Slack, TV-mode, or tables of raw and transformed data.\u003C/p>\u003Cp>The key advantage of Grow over Databox is its reliability. The platform uses APIs to import data seamlessly from data sources, and it continually refreshes the data so your metrics are up-to-date and reliable.\u003C/p>\u003Cp>However, Grow is more suitable for internal data storage and monitoring rather than for external reports. Their dashboards are very nitty-gritty which can overwhelm clients or the C-Suite.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea967a72016d3c940749d3c4dcd62df07\">150+ native integrations spanning CRM, marketing, and accounting tools\u003C/li>\u003Cli data-list-item-id=\"e216675dfd9241602f184d6a73bedf5d2\">Built-in data storage and warehousing\u003C/li>\u003Cli data-list-item-id=\"e511da0cad0a33ba0c2ea1b9f3b963f05\">Smart Builder with Smart Assumptions\u003C/li>\u003Cli data-list-item-id=\"e9680ac0c2cb0cccb7313d623070a6c0d\">Natural language data interaction\u003C/li>\u003Cli data-list-item-id=\"e7a01099d0f658c39897aa4b4277f7ab4\">Dashboard shows/hides rules by viewer role\u003C/li>\u003Cli data-list-item-id=\"e171888ab36613580b6e370a2e881616e\">SQL or no-code data transformations\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Grow Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"I use Grow.com primarily for real-time updates of important metrics, which takes our metrics out of spreadsheets and allows us to update them in real-time instead of once a month.\" (\u003Ca href=\"https://www.g2.com/products/grow-com/reviews/grow-com-review-12839666\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"This is a very helpful reporting tool, and I really appreciate the scheduled email feature.\" (\u003Ca href=\"https://www.g2.com/products/grow-com/reviews/grow-com-review-12966415\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Some types of charts are not easy to build, and can be complex when wanting to slice the data multiple ways.\" (\u003Ca href=\"https://www.capterra.com/p/136247/Grow/#Capterra___7169821\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>Grow pricing\u003C/h3>\u003Cp>Grow BI doesn't publish self-serve pricing. All plans are custom quotes through Epicor's sales team, based on data volume, user count, and feature needs.\u003C/p>\u003Ch2>8. NinjaCat\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Large marketing agencies and brands with dedicated data operations teams who need a warehouse-centric approach.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=Ru0oZGKbHA0\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/Ru0oZGKbHA0\" 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/ninjacat-alternatives-and-competitors\">NinjaCat\u003C/a> has shifted from a pure visualization tool into a full AI agent platform built on top of a managed marketing data cloud. It connects through 100+ native connectors, plus custom and AI-assisted connectors, and stores your data in a managed warehouse or ships it to Snowflake, BigQuery, or Amazon S3.\u003C/p>\u003Cp>The headline 2026 launch is a Snowflake Connected App, letting enterprise customers run NinjaCat's entire AI agent platform natively inside their own Snowflake environment with zero-copy architecture, meaning data never has to leave Snowflake. \u003C/p>\u003Cp>NinjaCat also expanded its AI Agent Showcase to 100+ pre-built marketing agents covering tasks like negative keyword discovery, search-term mining, and rank tracking, plus MCP Server support that lets Claude or ChatGPT connect to NinjaCat's governed marketing data directly.\u003C/p>\u003Cp>The report builder still looks and feels like a design tool, which can be confusing if you don't have a design background. NinjaCat also doesn't offer self-serve pricing, so every contract goes through sales.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e453c55b8236822049f78256e1c775723\">100+ native connectors, plus custom and AI-assisted connectors\u003C/li>\u003Cli data-list-item-id=\"ef9a068fad39d2a423c4eb95c448d3e07\">Snowflake Connected App (zero-copy architecture)\u003C/li>\u003Cli data-list-item-id=\"e911cddff58dc9620d4fe634cac8949bd\">AI Agent Showcase: 100+ pre-built marketing agents\u003C/li>\u003Cli data-list-item-id=\"e6faecd91296941528630426d7f6ac222\">MCP Server support for Claude and ChatGPT\u003C/li>\u003Cli data-list-item-id=\"e4c427fd39daf8fead6144c1376199dd0\">No-code transformations and calculations\u003C/li>\u003Cli data-list-item-id=\"e27297b942de26af2944f5734ce92316b\">White-label reporting options\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>NinjaCat Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"Reports were easy to read, when or if they generated correctly.\" (\u003Ca href=\"https://www.capterra.com/p/132630/NinjaCat/#Capterra___6206800\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"NinjaCat has a lot of connectors that are able to bring in data from countless platforms.\" (\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-12180387\" target=\"_blank\" rel=\"noopener noreferrer\">Source\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\">Source\u003C/a>)\u003C/p>\u003Ch3>NinjaCat pricing\u003C/h3>\u003Cp>NinjaCat remains a premium enterprise solution and does not offer a self-serve entry-level tier. Agencies typically start at \u003Ca href=\"https://www.krowdbase.com/software/ninjacat\" target=\"_blank\" rel=\"noopener noreferrer\">$1,500/month\u003C/a> based on third-party data.\u003C/p>\u003Ch2>9. Cyfe\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Boutique SEO agencies and freelancers who need a permanent, low-cost monitor for search rankings and multi-channel web data.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=J-oNiUJPS0Y&t=7s\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/J-oNiUJPS0Y?start=7\" 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/cyfe-alternatives-and-competitors\">Cyfe\u003C/a> is a business dashboard app that helps you easily monitor your business data from one place and make better decisions.\u003C/p>\u003Cp>You can pull data from 100+ integrations, including social media, email, SEO, and sales and finance tools. You can also bring in custom data via CSV, Google Sheets, SQL, private URL, or push API.\u003C/p>\u003Cp>To build visualizations, you can start from their dashboard templates or pre-built widgets. The platform also comes with “Embedded Analytics” where you can take an entire dashboard or a widget and embed it into emails, webpages, or applications.\u003C/p>\u003Cp>The honest read for 2026: Cyfe is in maintenance mode. There have been no meaningful product updates in 2025 or 2026, its G2 profile is unclaimed, and both the X (Twitter) and Recurly integrations have been deprecated without replacement, with reviewers noting Cyfe has confirmed the product is \"low on their priorities.\" \u003C/p>\u003Cp>It's not a tool to evaluate based on an active roadmap. It's an affordable, functional option that does what it does, but isn't keeping pace with the market.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e56ea38bd1128598c73b98697309327ad\">100+ integrations, including custom data via CSV, Sheets, SQL, or push API\u003C/li>\u003Cli data-list-item-id=\"e183a2a67db4fa3b6418b83040a280661\">Built-in keyword ranking tool (Google, Yahoo, Bing)\u003C/li>\u003Cli data-list-item-id=\"ec52cfbb0f2756399d82bef28aee9099f\">Embedded analytics for emails, webpages, or applications\u003C/li>\u003Cli data-list-item-id=\"e49e4f58614d0aeec3bae8d9d1b95aed7\">15-language interface support\u003C/li>\u003Cli data-list-item-id=\"ed8578904972bddfb78144f83de42434a\">TV Mode and public URLs on all plans\u003C/li>\u003Cli data-list-item-id=\"ea9103dcfcf2bed513aef623c31b357a5\">Custom logo, themes, and SSL domain support\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Cyfe Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"Very basic data sources work okay.\" (\u003Ca href=\"https://www.g2.com/products/cyfe/reviews/cyfe-review-8525639\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"They keep deprecating widgets, i.e., Twitter and Recurly, to name just two. Meanwhile, no new integrations appear. They admit this product is low on their priorities.\" (\u003Ca href=\"https://www.g2.com/products/cyfe/reviews/cyfe-review-8525639\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"I had a LONG relationship with Cyfe (over 4 years), but recently I cannot even get a response from their support.\" (\u003Ca href=\"https://www.capterra.com/p/225437/Cyfe/#GetApp___4272740\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>Cyfe pricing\u003C/h3>\u003Cp>Cyfe’s previous $19/month entry-level plan has been replaced by the $29/month Starter plan. Now they offer five pricing tiers:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eafa41187ae409f06f4d9584cea3dff93\">\u003Cstrong>Starter ($29/month):\u003C/strong> 2 dashboards, 1 user\u003C/li>\u003Cli data-list-item-id=\"e967868a1110e243cd6ee088c1d252b8f\">\u003Cstrong>Standard ($39/month): \u003C/strong>5 dashboards, 2 users\u003C/li>\u003Cli data-list-item-id=\"e31458d0cc707aefacbb2334716d4e1f7\">\u003Cstrong>Pro ($65/month):\u003C/strong> 10 dashboards, 5 users\u003C/li>\u003Cli data-list-item-id=\"e41348211d21b612d1575114df4fb3975\">\u003Cstrong>Premier ($119/month):\u003C/strong> 20 dashboards, unlimited users\u003C/li>\u003Cli data-list-item-id=\"e9ae58b15d1eb0583533b641d65bd8607\">\u003Cstrong>Agency ($190+/month):\u003C/strong> 100 dashboards, 15 users, 10 clients, full white-label\u003C/li>\u003C/ul>\u003Ch2>10. Improvado\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Data teams and marketing operations at large companies that need a unified source of truth across hundreds of channels.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Improvado_report_e18351b5a8.png\" alt=\"Improvado report - Whatagraph\">\u003Cbr>Improvado is an end-to-end data pipeline platform that gathers data from 500+ marketing platforms, MarTech tools, and CRMs, harmonizes it into a unified dataset, and ships it to a warehouse, BI tool, or spreadsheet. An AI-assisted naming convention engine audits and standardizes campaign names based on your taxonomy rules automatically.\u003C/p>\u003Cp>Improvado made a real shift in 2026 toward becoming a fuller BI platform, not just an ETL tool. MCP is also now available, connecting Claude, Cursor, or Gemini to 500+ connectors and over 46,000 unified metrics through one secure OAuth setup.\u003C/p>\u003Cp>That said, Improvado still requires real technical investment. Implementation takes around two months, and while dashboards have improved, most enterprise teams still pair Improvado with a separate BI tool like Tableau or Looker for client-facing visualization. \u003C/p>\u003Cp>This makes it a fit for enterprises with dedicated data resources, but likely overkill for smaller agencies.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e357b85191c837cdf5ae6ee7c81ac5fdd\">500+ pre-built connectors, 46,000+ unified metrics\u003C/li>\u003Cli data-list-item-id=\"eb5a0307dd26c5d96fe636899c9ed8c23\">Improvado MCP for Claude, Cursor, and Gemini\u003C/li>\u003Cli data-list-item-id=\"e112bee4997a4e0dabc8e968421fec20c\">Custom Connector Builder via AI Agent chat\u003C/li>\u003Cli data-list-item-id=\"e5ee0b9b71248b09a4b8c8330a2e31b3d\">Custom HTML widgets and per-widget SQL\u003C/li>\u003Cli data-list-item-id=\"eed5f22484d44fd9cf95527047c80728f\">AI-assisted campaign naming governance\u003C/li>\u003Cli data-list-item-id=\"e34895656df29a8f34b85514c8c1cc30f\">Fully managed data storage\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Improvado Reviews from Real Users\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.\" (\u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11028625\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Unable to truly gather insights from the dashboards provided.\" (\u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-11032249\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"We have had a couple of changes in CSM in a year, which makes things a little difficult, but the support staff has been very helpful!\" (\u003Ca href=\"https://www.g2.com/products/improvado-improvado/reviews/improvado-review-10028587\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>Improvado pricing\u003C/h3>\u003Cp>Improvado doesn't publish fixed pricing. \u003C/p>\u003Cp>Plans are structured as Growth, Advanced, and Enterprise tiers based on annual data row volume (up to 200M / 600M / 1B+ rows), with entry pricing estimated at $3,000-5,000/month based on third-party sources.\u003C/p>\u003Cp>\u003Ca href=\"https://www.g2.com/es/products/improvado-improvado/pricing\" target=\"_blank\" rel=\"noopener noreferrer\">On G2\u003C/a>, aggregated public data tells us that:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e40196f3fc5af207bd0f0b8fba15b70e4\">Time to implement: ~2 months\u003C/li>\u003Cli data-list-item-id=\"e15bab4c20392c4d87e089852038ea640\">Average ROI timeline: 15 months\u003C/li>\u003Cli data-list-item-id=\"eaddd063ba3322abacea9ec9963438ff5\">Perceived cost: $$$ (mid-tier)\u003C/li>\u003C/ul>\u003Ch2>11. TapClicks\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Large media companies and omnichannel agencies that need to manage the entire marketing lifecycle.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/tapclicks_interface_4710b7fb6f.png\" alt=\"tapclicks-interface.png\">\u003C/p>\u003Cp> \u003C/p>\u003Cp>For agencies that find Databox’s lack of operational workflow and order management limiting, \u003Ca href=\"https://whatagraph.com/blog/articles/tapclicks-alternatives-and-competitors\" target=\"_blank\" rel=\"noopener noreferrer\">TapClicks\u003C/a> is the high-performance alternative. \u003C/p>\u003Cp>While Databox is primarily a visualization tool, TapClicks unifies eight distinct products into a single ecosystem to eliminate tool-hopping:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"ee657f700866255a883cbcc9f6d3185a9\">\u003Cstrong>TapData: \u003C/strong>TapData is a standalone ETL/ELT too\u003Cstrong>l\u003C/strong> that handles the heavy lifting of extracting, transforming, and loading marketing data from over 250 native connectors and 10,000+ via marketplace.\u003C/li>\u003Cli data-list-item-id=\"e1b1e06f01e4ceb324049d7e334ee5d31\">\u003Cstrong>SmartAnalytics (Formerly TapAnalytics):\u003C/strong> The visualization layer for real-time exploration.\u003C/li>\u003Cli data-list-item-id=\"e73ea39ea07d160f48c4a3a027eeb29e6\">\u003Cstrong>SmartReports (Formerly TapReports): \u003C/strong>This module manages the distribution of reports across entire client portfolios. Now, this includes the SmartEmail feature, which automatically sends text-based performance summaries directly to executive inboxes.\u003C/li>\u003Cli data-list-item-id=\"eb7a017b3053be9e368b529c50f85c62d\">\u003Cstrong>SmartSuite (formerly TapInsights):\u003C/strong> The AI Intelligence hub uses machine learning and AI Agents to proactively scan your data for trends and anomalies.\u003C/li>\u003Cli data-list-item-id=\"e97d6c18b640abb962a9501627005e6fd\">\u003Cstrong>TapOrders:\u003C/strong> TapOrders allows your sales team to enter client objectives, budgets, and flight dates at the point of sale.\u003C/li>\u003Cli data-list-item-id=\"ec4c85fe4553d6f55ecf4b0fccfe6775c\">\u003Cstrong>TapWorkflow:\u003C/strong> Once an order is placed in tapOrders, tapWorkflow automatically routes tasks to your creative or ad ops teams based on your agency’s specific business processes.\u003C/li>\u003Cli data-list-item-id=\"e9c20457038996f68fd63d370da5edb27\">\u003Cstrong>TapSEO (formerly Raven Tools):\u003C/strong> A full platform for site audits, backlink analysis, keyword rank tracking, and link-building management.\u003C/li>\u003Cli data-list-item-id=\"e5035f458619e74406ba2097c9b76be0e\">\u003Cstrong>TapSpy:\u003C/strong> Powered by the acquisition of iSpionage, tapSpy provides a window into your competitors' strategies.\u003C/li>\u003C/ol>\u003Cp>The 2026 AI expansion is significant: a new tapAI layer now connects AI Agents, SmartReports, SmartStory, and SmartSuite under one umbrella. \u003C/p>\u003Cp>SmartStory, which reached general availability in January 2026, automatically generates branded presentations and narrative summaries for client meetings. A redesigned dashboard experience also rolled out in February 2026 with faster performance and simplified styling, though the older \"Classic\" interface is still available during the transition.\u003C/p>\u003Cp>The persistent issue is reliability. Trying to be everything to everyone means things get buggy: users report connections dropping mid-campaign and data showing up inaccurately, even with a dedicated Customer Success Manager guiding onboarding for months.\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ea31f4a83f2f337bc096a292634cc9ecc\">250+ integrations, plus 10,000+ via marketplace\u003C/li>\u003Cli data-list-item-id=\"e95c9fd6d433eb13b81f21655f855cf28\">tapAI: unified AI layer across the platform\u003C/li>\u003Cli data-list-item-id=\"ec510d15bdc1a49ba382f0d3d16c88167\">SmartStory: AI-generated client presentations\u003C/li>\u003Cli data-list-item-id=\"e4e05b520d1b749cae83eca127ac62ec0\">SmartReports: SmartSlides and SmartEmail automation\u003C/li>\u003Cli data-list-item-id=\"e38df3a1db5cc4e076e840efb3c3f53c8\">TapSEO and TapSpy for organic and competitive intelligence\u003C/li>\u003Cli data-list-item-id=\"ea9e50ac9719b7e26c50b1c548ed4ae04\">New Dashboard Experience (2026 redesign)\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>TapClicks Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"The dashboards are really great for our clients, and there's a lot of flexibility in the metrics we see.\" (\u003Ca href=\"https://www.g2.com/products/tapclicks/reviews/tapclicks-review-12676293\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"This is a very useful and good product. It's also so easy to use.\" (\u003Ca href=\"https://www.g2.com/products/tapclicks/reviews/tapclicks-review-12113045\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Some of the visualization options are limited.\" (\u003Ca href=\"https://www.g2.com/products/tapclicks/reviews/tapclicks-review-11278545\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Ch3>TapClicks Pricing\u003C/h3>\u003Cp>TapClicks doesn't list fixed pricing on its live pricing page. The platform uses a custom quote model, with market estimates suggesting Basic plans start around $599/month, scaling to $1,500+/month for enterprise tiers.\u003C/p>\u003Ch2>Which Databox alternative is right for you?\u003C/h2>\u003Cul>\u003Cli data-list-item-id=\"ea9338c272f4b25ff3501ac770f062a62\">\u003Cstrong>If you're a mid-size agency managing 20+ clients across multiple channels\u003C/strong> - choose Whatagraph. One governed data foundation, linked templates that update across all client reports at once, and AI reporting built in from the start.\u003C/li>\u003Cli data-list-item-id=\"e23204552a321abfcb24136120fa596e3\">\u003Cstrong>If you need fast, affordable client reports without a steep learning curve\u003C/strong> - choose DashThis for small agencies and freelancers, or Looker Studio if your clients are primarily on Google's ecosystem.\u003C/li>\u003Cli data-list-item-id=\"e11c0cfbe44644576636093a1c0e562e5\">\u003Cstrong>If you need live KPIs on office screens or real-time team dashboards\u003C/strong> - choose Geckoboard for TV-first monitoring, or Cyfe if you're on a tight budget and don't need active product development.\u003C/li>\u003Cli data-list-item-id=\"ec20dedcf26d27ebb7e3d449f7031ad2f\">\u003Cstrong>If your priority is metric governance and data consistency across teams\u003C/strong> - choose Klipfolio for mid-size data teams, or Grow if you also need built-in ETL and data storage without a separate warehouse.\u003C/li>\u003Cli data-list-item-id=\"e1a1a8e2555bc4bcd163b8db6a2312bc0\">\u003Cstrong>If you're running a large agency or enterprise with dedicated data operations\u003C/strong> - choose NinjaCat for a warehouse-native AI platform, Improvado for 500+ source ETL at scale, or TapClicks if you need workflow and order management alongside reporting.\u003C/li>\u003Cli data-list-item-id=\"e7d4d9b7e1c61f435d9f2f1bd042ca865\">\u003Cstrong>If you need enterprise-grade BI with predictive analytics and complex modeling\u003C/strong> - choose Tableau. Nothing else on this list comes close for that use case, and the price reflects it.\u003C/li>\u003C/ul>","2024-10-28T10:32:16.300Z","2026-07-31T06:31:17.347Z","2026-07-31T06:31:17.561Z","2026-06-24","cb4kg9tbkcjj0hcml4tjlpe1",{"id":834,"name":835,"alternativeText":836,"caption":33,"width":566,"height":567,"formats":837,"hash":843,"ext":384,"mime":385,"size":844,"url":845,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":846,"updatedAt":847,"documentId":848,"publishedAt":373,"focalPoint":33},15592,"Databox alternatives and competitors.png","Databox Alternatives And Competitors - Five app icons against a wavy blue background.",{"thumbnail":838},{"ext":384,"url":839,"hash":840,"mime":385,"name":841,"path":33,"size":842,"width":575,"height":576},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_Databox_alternatives_and_competitors_8ccc6b3876.png","thumbnail_Databox_alternatives_and_competitors_8ccc6b3876","thumbnail_Databox alternatives and competitors.png",27.76,"Databox_alternatives_and_competitors_8ccc6b3876",1622.72,"https://s3.us-east-2.amazonaws.com/whatagraph.com/Databox_alternatives_and_competitors_8ccc6b3876.png","2025-10-06T13:23:48.525Z","2025-10-06T13:23:52.708Z","kcx0h5b5xv61hmd0em4l8hxd",{"id":586,"name":587,"about":588,"email":589,"createdAt":590,"updatedAt":591,"publishedAt":592,"slug":593,"linkedin_url":594,"documentId":595},{"id":92,"title":851,"slug":852,"subheading":853,"createdAt":854,"updatedAt":855,"publishedAt":856,"documentId":857},"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":859,"title":860,"slug":861,"summary":862,"body":863,"read_time":14,"createdAt":864,"updatedAt":865,"publishedAt":866,"errors":33,"table_of_contents":34,"dateReorder":867,"documentId":868,"cover_image":869,"author":885,"article_category":886},2989,"7 Best Funnel.io Alternatives in 2026: Real Reviews & Features","funnel-io-alternatives-and-competitors","\u003Cp>Funnel.io is a powerful data platform, but its steep learning curve, basic visualizations, and high cost can leave users wanting for more. \u003C/p>\u003Cp>In this article, we’ll take you through:\u003C/p>\u003Cul>\u003Cli>The shortcomings of Funnel\u003C/li>\u003Cli>The 7 best Funnel.io alternatives\u003C/li>\u003Cli>Features and pricing of each tool\u003C/li>\u003Cli>Real customer reviews of each tool\u003C/li>\u003C/ul>","\u003Cp>Funnel.io is great for moving your data to spreadsheets, visualization tools, and databases, but it’s far from perfect. Users online say it’s:\u003C/p>\u003Cp>\u003Cstrong>❌  Expensive: \u003C/strong>Funnel’s pricing is based on “flexpoints” which measure how many connectors and destinations you’ve used. \u003C/p>\u003Cp>But the tricky part is—if you need multiple breakdowns or connections from a single connector, you can end up paying 1000s of dollars a month. \u003C/p>\u003Cp>Many users say they need to constantly monitor their data sources to avoid overpaying or using up their credits. \u003Ci>(This is a huge time-sucking task of its own.)\u003C/i>\u003C/p>\u003Cp>\u003Cstrong>❌  Not intuitive: \u003C/strong>Funnel is powerful, but it also comes with a steep learning curve. For the average marketer or non-tech savvy user, setting up the tool and navigating it can be time-consuming and often frustrating. \u003C/p>\u003Cp>\u003Cstrong>❌  Limited: \u003C/strong>Funnel offers basic dashboards with limited customization and white-labeling features. Many users report still having to use third-party visualization tools like \u003Ca href=\"https://whatagraph.com/blog/articles/google-data-studio-alternatives\" target=\"_blank\" rel=\"noopener noreferrer\">Looker Studio\u003C/a> which can be slow, clunky, and difficult to use.\u003C/p>\u003Cp>---\u003C/p>\u003Cp>If you’re experiencing similar challenges with Funnel, we’ve got your back. \u003C/p>\u003Cp>In this article, we’ll take you through seven best Funnel.io alternatives and competitors that are easier to use, more cost-effective, and come with more features. \u003C/p>\u003Cp>But before we start, let’s briefly overview Funnel.io and its features.\u003C/p>\u003Ch2>7 Best Funnel.io Alternatives and Competitors in 2026\u003C/h2>\u003Cp>In a nutshell, here are the 7 best Funnel.io alternatives we'll review in this article:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"ec152b37d2577b907c3287eac3be5a6f8\">Whatagraph\u003C/li>\u003Cli data-list-item-id=\"e50ce19df149cfdbe849c3d0bb8f8bc0c\">Coupler.io\u003C/li>\u003Cli data-list-item-id=\"edd7e60ed7f512cbc121cea0e8ca8a3e4\">Supermetrics\u003C/li>\u003Cli data-list-item-id=\"ecb2c0f29dddf52205b4d212bc5ff7aed\">Porter Metrics\u003C/li>\u003Cli data-list-item-id=\"e0ba66477c97ab8092673f2d0e39e6a64\">Domo\u003C/li>\u003Cli data-list-item-id=\"e5133cbe94a916215103a604eb35fb60a\">Adverity\u003C/li>\u003Cli data-list-item-id=\"e8b42d289b4b88dd3445c09572e7aadf1\">NinjaCat\u003C/li>\u003C/ol>\u003Cp>Don't want to read through walls of text? Here's a summary table:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Tool\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Best for\u003C/strong>\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cstrong>Pricing\u003C/strong>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Whatagraph\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Agencies scaling reporting on one governed data layer\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">\u003Cp class=\"p1\">Check out our \u003Ca href=\"https://whatagraph.com/pricing\">\u003Cspan class=\"s1\">pricing page\u003C/span>\u003C/a> for the most updated information\u003C/p>\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Coupler.io\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">No-code pipelines into spreadsheets, BI tools, and AI\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Free; paid from $24/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Supermetrics\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Agencies needing warehouse-first strategy with AI agents\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From $44/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Porter Metrics\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">SMBs and agencies running on HubSpot, Shopify, Klaviyo\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Free; paid from $12.50/account/mo\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Domo\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Enterprise data teams building custom data apps\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Custom pricing only\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Adverity\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">High-maturity teams needing complex ETL and governance\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Custom pricing only\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">NinjaCat\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">Mid-market to large agencies needing AI agent workflows\u003C/td>\u003Ctd style=\"border-color:#000000;border-width:1pt;padding:5pt;vertical-align:top;\">From ~$1,500/mo\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Let's dive into each of these. \u003C/p>\u003Ch2>1. Whatagraph\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Marketing agencies and in-house teams that want one governed data foundation instead of a Funnel-plus-Looker-Studio stack\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_best_Funnel_io_alternative_bcb39afaeb.png\" alt=\"Whatagraph - best Funnel.io alternative.png\">\u003C/p>\u003Cp>If you're switching from Funnel because the flexpoints model keeps surprising you, or you still need to use a separate tool for building reports (like Looker Studio), Whatagraph is built for that exact gap.\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/\">Whatagraph\u003C/a> is a marketing intelligence platform with one governed data foundation that powers your client reports, internal dashboards, \u003Ca href=\"https://whatagraph.com/integrations/bigquery\">BigQuery\u003C/a> export, and AI assistant, all from the same definitions. \u003C/p>\u003Cp>While Funnel just moves and transforms data from your source platform to a visualization tool, Whatagraph takes care of the whole journey - connect, govern, visualize, and share inside one platform, so the hours your team would spend stitching tools together go toward something more strategic. \u003C/p>\u003Cp>Here's what that looks like in practice:\u003C/p>\u003Cp>\u003Cstrong>1. Connect: 60+ fully managed integrations\u003C/strong>\u003C/p>\u003Cp>Whatagraph connects to \u003Ca href=\"https://whatagraph.com/integrations\">60+ native integrations\u003C/a> across paid media, SEO, social, analytics, CRM, ecommerce, and email. \u003C/p>\u003Cp>Unlike connector tools that route data through third-party pipelines, Whatagraph manages every integration in-house. When something breaks, the product team fixes it - not a middleware vendor you have no visibility into.\u003C/p>\u003Cp>In fact, this is the biggest advantage \u003Ca href=\"https://www.linkedin.com/in/lindavbaal/\" target=\"_blank\" rel=\"noopener noreferrer\">Linda van Baal\u003C/a>, Online Marketing Consultant at \u003Ca href=\"https://whatagraph.com/case-studies/yourfellow\">YourFellow\u003C/a> saw when they switched to Whatagraph. She says:\u003C/p>\u003Cp>[quote color-variant=\"1\"]\u003Cbr>Whatagraph saves me at least half a day a week and it's so much easier and faster than Funnel and Looker Studio. But the biggest advantage is that all our data is now in one tool—everyone knows where to find everything because it’s in one place.\u003Cbr>[author][/author]\u003Cbr>[/quote]\u003C/p>\u003Cp>\u003Cstrong>2. Govern: define your data once and see it everywhere\u003C/strong>\u003C/p>\u003Cp>If you're running campaigns on Google Ads, Meta Ads, LinkedIn Ads, and more, you know how much of a pain it is to standardize metrics and dimensions across all of them. \u003C/p>\u003Cp>Every platform has its own naming conventions, its own conversion definitions, its own way of counting a click. By the time that data lands in one report, you're spending more time reconciling numbers than analyzing and acting on them.\u003C/p>\u003Cp>Whatagraph's \u003Ca href=\"https://whatagraph.com/data-hub\">Data Hub\u003C/a> let you define what things mean once - then that definition carries through every report, every client, every channel. \u003C/p>\u003Cp>Source Groups are a good example of how this works in practice: if a client runs three separate Google Ads accounts across different regions, you group them into one.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Source_groups_Linked_In_Ads_MCP_a471d036d5.png\" alt=\"Source groups -  LinkedIn Ads MCP.png\">\u003C/p>\u003Cp>Custom metrics and dimensions let you build cross-channel KPIs and standardise naming across clients. Different clients call the same metric by different names. Whatagraph lets you rename per client so the report always matches their internal language, without rebuilding anything.\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\">\u003C/p>\u003Cp>You can also ask \u003Ca href=\"https://whatagraph.com/whatagraph-iq\">Whatagraph IQ\u003C/a>, the platform's built-in AI, to create a custom dimension for you. Just choose your channels and dimensions, type in a prompt, and you'll have your custom dimension ready to be used in reports.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/custom_dimensions_PPC_reporting_tool_ac100bd6dd.png\" alt=\"custom dimensions  - PPC reporting tool.png\">\u003C/p>\u003Cp>\u003Cstrong>3. Report: AI that builds and writes, plus templates that actually scale\u003C/strong>\u003C/p>\u003Cp>Agencies spend way too much time creating reports from scratch - and this problem compounds with every new client you onboard.\u003C/p>\u003Cp>With Whatagraph, you build a report template once - one for lead gen clients, one for eCommerce, one for paid media - and reuse it every time a new client comes in. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/save_reports_as_a_template_ec38231020.gif\" alt=\"save reports as a template.gif\">\u003C/p>\u003Cp>Then you link those reports to one master template. Add a new tab, update a metric, change a widget layout - every linked report updates automatically. You're not opening 40 reports one by one. You make the change once, it goes everywhere.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/linked_templates_bad2a6c8c9.png\" alt=\"linked templates.png\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.maatwerkonline.nl/\" target=\"_blank\" rel=\"noopener noreferrer\">Maatwerk Online\u003C/a>, a 41-person Dutch agency managing over 100 clients, saves more than 100 hours a month with this approach. Co-Founder \u003Ca href=\"https://www.linkedin.com/in/larsmaat/\" target=\"_blank\" rel=\"noopener noreferrer\">Lars Maat\u003C/a> says templates save more than time - they save the mental load of knowing you have to do it all again.\u003C/p>\u003Cp>[quote color-variant=\"1\"]\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>On top of that, with Whatagraph IQ, you don't even need to build a report from scratch. You can just choose your channel, type in a prompt, and it automatically creates the report based on your connected data.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Whatagraph_IQ_report_creation_922663f4a7.gif\" alt=\"Here's my generated alt text:\n\nWhatagraph IQ Report Creation - A web interface with a sidebar and a search bar.\n\">\u003C/p>\u003Cp>You can also brand the report in your or your client’s branding with AI. Just upload a screenshot of your report or type in a prompt, and Whatagraph applies the colors to the report. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Create_custom_PPC_reports_in_seconds_PPC_reporting_tool_beeb7199df.png\" alt=\"Create Custom PPC Reports - Analytics dashboard with graphs and branding theme editor.\">\u003C/p>\u003Cp>Want to write performance summaries inside the report? Whatagraph IQ does it automatically for you based on your connected data so there are no hallucinations.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Performance_summary_Active_Campaign_reporting_tool_ee7bbe6a36.png\" alt=\"ActiveCampaign Reporting Tool - A summary of metrics and recommendations related to email marketing.\">\u003C/p>\u003Cp>\u003Cstrong>4. Monitor: see every client and portfolio at once\u003C/strong>\u003C/p>\u003Cp>Individual client reports tell you how one account is doing. Performance Overviews tell you how all of them are doing, from one place.\u003C/p>\u003Cp>Basically, it's a filterable dashboard across your entire client book. You can slice by account manager, client, location, or custom tag - so if you want to see every client a specific account manager owns, or every account in a particular region, it's a filter, not a manual export.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Overview_Google_Sheets_reporting_tool_20158dd963.png\" alt=\"Overview Google Sheets Reporting Tool - A table shows performance data like CPC, impressions, and spend.\">\u003C/p>\u003Cp>For agency leadership, this is the view that was missing. Instead of opening individual reports to check on accounts, or waiting for account managers to flag something, you can see the whole portfolio, spot what's off-track, and act before it becomes a client conversation.\u003C/p>\u003Cp>Goals and alerts sit on top of it. Set a performance target for a client, and Whatagraph notifies you via Slack or email when something goes off-track mid-month - not at the end of it when there's nothing left to do.\u003C/p>\u003Cp>\u003Cstrong>5. Query: ask questions about your data via MCP\u003C/strong>\u003C/p>\u003Cp>Whatagraph connects to Claude, ChatGPT, and any MCP-compatible AI tool via \u003Ca href=\"https://whatagraph.com/mcp\">Whatagraph MCP\u003C/a>. Ask your AI assistant: \"Which clients are pacing behind on spend this month?\" or \"Show me a channel comparison across Google Ads, Meta, and LinkedIn for the last 30 days\" - and it answers from your actual Whatagraph data.\u003C/p>\u003Cp>Funnel also launched an MCP server in May 2026, and it similarly sits on a governed data layer. The practical difference: Funnel's MCP outputs to your AI tool and stays there. Whatagraph's MCP queries the same foundation your client reports run on - so insights can move from AI chat to client-ready deliverable in the same platform, without switching tools or rebuilding context. Setup takes five minutes, no code required.\u003C/p>\u003Cp>\u003Cstrong>6. Share: send reports everywhere your team and clients need it\u003C/strong>\u003C/p>\u003Cp>Once you're done with reports, you can share them as white-labeled live links with a custom domain, set a password, and choose to enable IQ Chat for clients.\u003C/p>\u003Cp>IQ Chat lets you and your clients (if enabled) ask questions about your data and performance and get back accurate, fast answers. It's like having Claude built into your reporting system. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/IQ_chat_Google_ads_reporting_tool_73230cbfa8.png\" alt=\"IQ chat - Google ads reporting tool.png\">\u003C/p>\u003Cp>You can also set up automated reports where they go out to specific emails on specific days, times, and cadences. Don't worry you'll still have the option to review the reports before they're sent to clients. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Automated_reporting_that_runs_itself_cea670f58b.png\" alt=\"Automated Reporting That Runs Itself - A configuration panel with drop-down menus for scheduling a monthly performance report.\">\u003C/p>\u003Cp>\u003Cstrong>Whatagraph Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"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.\" (\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-11069239\">Source\u003C/a>)\u003C/p>\u003Cp>\"I use Whatagraph every month to show my client roster their marketing campaign metrics data. It solves a unified vision of all the campaigns we run with our clients; it's easy to understand and to connect platforms.\" (\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-12569787\">Source\u003C/a>)\u003C/p>\u003Cp>\"It's easy to use and intuitive. I enjoy how things aren't hidden in menus, and the AI reporting is very on point.\" (\u003Ca href=\"https://www.g2.com/products/whatagraph/reviews/whatagraph-review-8091020\">Source\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Whatagraph's Pricing\u003C/strong>\u003C/p>\u003Cp>Funnel’s pricing is based on flexpoints which count how many data connectors and destinations you use. \u003C/p>\u003Cp>The problem with this is if you need several breakdowns or connections for one data source, you can end up paying a lot more than expected.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Screenshot_2024_09_27_at_12_40_57_PM_f215864bbd.png\" alt=\"Screenshot 2024-09-27 at 12.40.57 PM.png\">\u003C/p>\u003Cp>That’s why many users describe Funnel’s pricing as unpredictable, even the “bane of my existence”.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/funnel_review_reddit_negative_6512ed7055.png\" alt=\"Funnel Review Reddit Negative - Reddit comment with user icon and text about Flexpoints.\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.reddit.com/r/PPC/comments/1jvxp9k/comment/mme57xh/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Cstrong>In fact, \u003C/strong>\u003Ca href=\"https://preview.whatagraph.com/case-studies/yourfellow\">\u003Cstrong>based on our customers who used to use Funnel\u003C/strong>\u003C/a>\u003Cstrong>, it's 50-65% more expensive than Whatagraph.\u003C/strong>\u003C/p>\u003Cp class=\"p1\">Whatagraph offers flexible pricing based on your team’s needs. Visit our \u003Ca href=\"https://whatagraph.com/pricing\">\u003Cspan class=\"s1\">pricing page\u003C/span>\u003C/a> for the latest plans and details.\u003C/p>\u003Ch2>2. Coupler.io\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> In-house teams and agencies that need to move massive amounts of data from 400+ sources into spreadsheets, BI tools, or AI environments.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://www.youtube.com/watch?v=uvh9FSEqMIw\">\u003Cdiv style=\"position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;\">\u003Ciframe src=\"https://www.youtube.com/embed/uvh9FSEqMIw\" 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://www.coupler.io/\">Coupler.io\u003C/a> is a no-code data integration and AI analytics platform that automates the extraction, transformation, blending, and scheduling of data so you don’t have to manually export or prepare it. \u003C/p>\u003Cp>You can connect to over 400+ business apps—covering not just marketing (Meta, Google Ads, TikTok), but also finance (QuickBooks, Stripe), sales (HubSpot, Salesforce), and project management (Jira, Asana).\u003C/p>\u003Cp>What sets Coupler.io apart is its ability to transform, aggregate, and blend data from multiple sources. This means you can customize and optimize your reports to make smarter decisions, faster.\u003C/p>\u003Cp>Before your data hits its destination, you can filter, sort, and join different sources. For example, you can blend Shopify sales with Facebook Ad spend to calculate your actual marketing efficiency ratio (MER) in real time.\u003C/p>\u003Cp>While it’s ideal for marketers, Coupler.io also brings together sales, financial, project, and other business data in one place—making cross-channel analysis seamless.\u003C/p>\u003Cfigure class=\"image\">\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Coupler_io_dashboard_38caf813bc.png\" alt=\"Coupler.io dashboard.png\">\u003C/figure>\u003Cp>In 2026, Coupler.io has leaned further into AI: an AI Agent now runs inside your data flows to analyze results directly, and AI Insights generates a one-click summary of any native Coupler.io dashboard without manual setup. \u003C/p>\u003Cp>Coupler.io also added connectivity to Claude and ChatGPT via MCP, so you can query connected data directly from an AI assistant rather than opening a spreadsheet first. \u003C/p>\u003Cp>The platform's roots are still in Google Sheets, though, and that shows: data transformations like joins and data aggregations are locked behind the Active plan and above, and the free tier caps you at one marketing data source and manual refresh only.\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Coupler_io_dashboard_funnel_alternatives_5544c85733.png\" alt=\"Coupler.io dashboard - funnel alternatives.png\">\u003C/p>\u003Cp>\u003Cstrong>Coupler.io reviews from Real Users:\u003C/strong>\u003C/p>\u003Cp>\"I love the ability I can connect to many data sources with ease.\" (\u003Ca href=\"https://www.g2.com/products/coupler-io/reviews/coupler-io-review-12634319\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"While their prebuilt Power BI dashboards save a ton of time on setup, you still have to do some work to swap out different data sources or just remove some of the presets if you don't want to use the exact combination the dashboard comes with.\" (\u003Ca href=\"https://www.g2.com/products/coupler-io/reviews/coupler-io-review-12357308\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"The customer service is really good, I had an issue and was able to book a call within 24 hours.\" (\u003Ca href=\"https://www.capterra.com/p/202311/Coupler-io/#Capterra___7149026/\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Key features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e6e15c58fc740d31bc9b8c21352e0f203\">400+ no-code data integrations\u003C/li>\u003Cli data-list-item-id=\"ed4c1acb475377d77a2c84b10fab75779\">AI Agent for in-flow data analysis\u003C/li>\u003Cli data-list-item-id=\"e935978ad9e7efb89cfc61325ecec3fa4\">AI Insights for one-click dashboard summaries\u003C/li>\u003Cli data-list-item-id=\"e5467b1b48cf6a33750e6c68dc5b75f55\">MCP connectivity for Claude and ChatGPT\u003C/li>\u003Cli data-list-item-id=\"e3490fdd04a171b0caedc8b2e9c28f57b\">Data refresh scheduling\u003C/li>\u003Cli data-list-item-id=\"e83f3bb6b55926b65f83eedb84ec4259e\">Transform module (filter, aggregate, append, join)\u003C/li>\u003Cli data-list-item-id=\"e318a35230bb4cf821129f462f7506bbb\">100+ free dashboard templates\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Pricing:\u003C/strong>\u003C/p>\u003Cp>Coupler.io offers a free tier plus multiple paid subscription plans that scale on user seats, data connections, destinations, refresh frequency, and enterprise support.\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eef0a519418dbbea847a51494099bc616\">\u003Cstrong>Free:\u003C/strong> 1 data source, 1 destination, manual refresh, 100 rows/run\u003C/li>\u003Cli data-list-item-id=\"eb2d2c5b18cf016d76fe221d91ca28d64\">\u003Cstrong>Starter ($24/month):\u003C/strong> 5,000 rows/run, daily refresh, data transformations, AI Insights\u003C/li>\u003Cli data-list-item-id=\"e25202f4dc01a0451785f9a5f90e5ce33\">\u003Cstrong>Active ($99/month):\u003C/strong> 15 accounts, unlimited users, unlimited data volume\u003C/li>\u003Cli data-list-item-id=\"e8c57802f8ce3bff5647c92d94f66b373\">\u003Cstrong>Pro ($199/month): \u003C/strong>50 accounts, unlimited destinations, hourly refresh, dedicated account manager\u003C/li>\u003Cli data-list-item-id=\"ed2a174266cb4a38aed309ea7a5130c91\">\u003Cstrong>Agency and Enterprise (custom): \u003C/strong>custom accounts and destinations, 15-minute refresh, priority support, enterprise SLA5\u003C/li>\u003C/ul>\u003Ch2>3. Supermetrics\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Large organizations and agencies with dedicated data science teams or technical analysts who need a warehouse-first strategy.\u003C/p>\u003Cfigure class=\"media\">\u003Cdiv data-oembed-url=\"https://youtu.be/8u7N-06j8dw?feature=shared\">\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\">Supermetrics\u003C/a> is a data moving tool that pulls together marketing data from over 150 platforms, like Google Analytics and Facebook Ads, into data warehouses and BI tools like Big Query and Looker Studio. \u003C/p>\u003Cp>Supermetrics’ rollout of Supermetrics AI adds an accessible layer of natural-language analytics across the platform:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ec71dc95fb80861fcde3256b9bbb79643\">AI agents include a Dashboard Agent for building reports and an Insights Agent for uncovering performance explanations.\u003C/li>\u003Cli data-list-item-id=\"ebc8080ca6f2b17852dbc492eed45c500\">The Custom Dashboard Builder now allows native visualizations directly in the platform, reducing reliance on external BI tools.\u003C/li>\u003C/ul>\u003Cp>Supermetrics also added support for feeding live metrics directly into Claude, ChatGPT, or Gemini. \u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Supermetrics_AI_7bc89c4fb8.png\" alt=\"Supermetrics AI - Diagram showing Supermetrics AI elements: Agents, Integrations, and pillars.\">\u003C/p>\u003Cp>\u003Ca href=\"https://supermetrics.com/blog/supermetrics-ai-launch\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>The structural limitation hasn't changed though: pricing is destination-based, meaning you pay separately depending on where your data lands (Google Sheets costs differently than Looker Studio), and most connectors beyond your plan's included sources cost extra. Many of the deeper data organization features are also reserved for the highest plan.\u003C/p>\u003Cp>\u003Cstrong>Supermetrics Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"Supermetrics is super efficient and reliable in data integration, and this makes it possible to connect with major software like Google Ads.\" (\u003Ca href=\"https://www.g2.com/products/supermetrics/reviews/supermetrics-review-12588126\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Many connectors are locked behind higher-tier plans, which can make the tool expensive very quickly. It often feels like you need to upgrade just to access basic functionality, and the pricing structure doesn't scale well if you only need a few specific integrations.\" (\u003Ca href=\"https://www.g2.com/products/supermetrics/reviews/supermetrics-review-12461778\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Certain connectors require reconnecting monthly, but they have a really nice UX in their dashboard that makes this fairly easy.\" (\u003Ca href=\"https://www.capterra.com/p/162846/Supermetrics/#Capterra___7020877/\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ec77d6567393c9d98a3ff187124643d3f\">150+ data source integrations\u003C/li>\u003Cli data-list-item-id=\"ef65bd3f8cf473a89006262301e28ac7c\">Supermetrics AI: Dashboard Agent and Insights Agent\u003C/li>\u003Cli data-list-item-id=\"e7e4cd07fb6d95faf5ff46a4733e1d222\">Custom Dashboard Builder with native visualizations\u003C/li>\u003Cli data-list-item-id=\"e341772003cad6aaea0e045bd4491e8a0\">TikTok Shop connector (added January 2026)\u003C/li>\u003Cli data-list-item-id=\"e0aa5ee1dcd3fc9e382c29b9fba452f6c\">AI assistant integrations (Claude, ChatGPT, Gemini)\u003C/li>\u003Cli data-list-item-id=\"e599fde6f51a71628a435d40d864a7a90\">Event tracking and multichannel reporting\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Pricing:\u003C/strong>\u003C/p>\u003Cp>As of 2026, Supermetrics has shifted its model slightly to include more AI-driven features, though its core structure remains destination-based. \u003C/p>\u003Cp>This means you pay separately for where you send your data (e.g., Google Sheets vs. Looker Studio).\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eb46b4772331ae9a6bde78eb4a81ec25c\">\u003Cstrong>Starter ($44/month, billed annually):\u003C/strong> 1 core destination, 3 data sources, 1 user, weekly refresh (Google Sheets only), MCP access (limited)\u003C/li>\u003Cli data-list-item-id=\"e8067ed583b7bc3fe53dc7b6743e49d4e\">\u003Cstrong>Growth ($177/month):\u003C/strong> 3 users, 7 data sources\u003C/li>\u003Cli data-list-item-id=\"e2ef1ca8431f5a78654dc0762c100cdfb\">\u003Cstrong>Pro ($399/month):\u003C/strong> 5 users, 10 data sources\u003C/li>\u003Cli data-list-item-id=\"ef9f3671af93ac85782f29a148e952f67\">\u003Cstrong>Enterprise (custom):\u003C/strong> unlimited sources, data warehousing, SSO\u003C/li>\u003C/ul>\u003Cp>But you also need to consider add-on costs, extra data sources cost roughly $29-39/month each; extra users cost $37-99/month each.\u003C/p>\u003Cp>Read more about \u003Ca href=\"https://whatagraph.com/blog/articles/supermetrics-pricing\">Supermetrics pricing\u003C/a> - find out what you’re really paying for.\u003C/p>\u003Ch2>4. Porter Metrics\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Small to medium businesses (SMBs) and boutique agencies running on HubSpot, Shopify, and Klaviyo\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Porter_metrics_dashboard_6afb32d3ef.png\" alt=\"\">If you’re looking for a budget-friendly alternative to Funnel, Porter Metrics is a great choice.\u003C/p>\u003Cp>Porter Metrics is a no-code BI tool built for marketing teams at small to medium-sized ecommerce and B2B businesses. It connects your data, blends cross-channel sources into accurate metrics, and ships the result to Looker Studio or Google Sheets using Porter's own report templates.\u003C/p>\u003Cp>Porter now supports Google Sheets, BigQuery, Power BI, and even Slack for automated KPI alerts. They’ve also integrated an AI layer into their Query Builder, which allows you to type questions in plain English, and it automatically generates the underlying SQL to pull that data into Looker Studio or Google Sheets.\u003C/p>\u003Cp>I went on a call with Juan, Co-Founder of Porter Metrics and he claims their Shopify and Hubspot integrations are “the best in the market”. If you mostly work with these two integrations, Porter Metrics would be a good choice for you. \u003C/p>\u003Cp>Essentially, here’s how Porter Metrics works: \u003C/p>\u003Col>\u003Cli data-list-item-id=\"e519f6b8522e94adae9b45efad9c49ce6\">Connect your data and store it without codes or engineers\u003C/li>\u003Cli data-list-item-id=\"e5df684e23b14ba11b9b4dd939447503c\">Blend your cross-channel data to get an accurate view of key metrics \u003C/li>\u003Cli data-list-item-id=\"e368fa5cbd8108ccd9e89449f9be3aa77\">Send this data to Looker Studio or Sheets\u003C/li>\u003Cli data-list-item-id=\"e6bf730fc9e4a6a23a9207e34bfb75dcb\">Use Porter’s templates to create a Looker Studio report\u003C/li>\u003Cli data-list-item-id=\"e4867c957ab46c8cd5cbf0f57afc40bc3\">Share reports via links, PDF, or scheduled emails\u003C/li>\u003C/ol>\u003Cp>Porter's free plan got more generous in 2026, too, now including MCP access for Claude and ChatGPT and a BigQuery destination, unusual for a free tier.\u003C/p>\u003Cp>The company also recently launched Celerio, a separate execution-focused product that lets users run ads, manage SEO, and handle CRM tasks from a chat interface, extending Porter beyond reporting into marketing execution.\u003C/p>\u003Cp>Apart from technical details, Porter’s advantage over Funnel is their personalized, warm support led by their very own CEO, Juan. \u003Ca href=\"https://www.g2.com/products/porter-metrics-porter/reviews/porter-review-7849892\" target=\"_blank\" rel=\"noopener noreferrer\">One of their customers\u003C/a> said:\u003C/p>\u003Cp>\u003Ci>“Their customer support is incredible; when we have a problem, they answer immediately and connect with us fast to solve it as soon as possible.”\u003C/i>\u003C/p>\u003Cp>\u003Cstrong>Porter Metrics Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"I like how easy it is to connect Porter with Claude. I can just chat with Claude, use Porter to pull the data, and then have Claude interpret it.\" (\u003Ca href=\"https://www.g2.com/products/porter-metrics-porter/reviews/porter-review-12901948\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"The only thing I wish were different is the pricing of the blended data add-on. Their connector and looker template pricing is super transparent. You have to book a call to get the blended data add-on pricing.\" (\u003Ca href=\"https://www.g2.com/products/porter-metrics-porter/reviews/porter-review-12613761\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Sometimes the UX around managing many accounts and properties can feel a bit limited, especially when you're handling multiple clients at scale.\" (\u003Ca href=\"https://www.g2.com/products/porter-metrics-porter/reviews/porter-review-12071622\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Key Features\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e05b161ba3475803f9820207777dc8919\">20+ data sources and templates\u003C/li>\u003Cli data-list-item-id=\"e1fee6f8319e2040d85b3f3a5d5cf228b\">Data blending and cross-channel reports\u003C/li>\u003Cli data-list-item-id=\"e8aa1801f7996f813bb9355d83b829891\">AI Query Builder (plain English to SQL)\u003C/li>\u003Cli data-list-item-id=\"ed0962fac4b5c144808afd2960766d79f\">MCP access (Claude and ChatGPT) on all plans, including free\u003C/li>\u003Cli data-list-item-id=\"e37ffbd1e698af661f34e1030d512ef88\">BigQuery destination on free plan\u003C/li>\u003Cli data-list-item-id=\"e56bd9233bf9e13d8bac8f5c4489f26f6\">Custom tags and filters\u003C/li>\u003Cli data-list-item-id=\"edda82f8db3562c6991c151cc1920aafd\">White-labeling (brand colors, logos, text)\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Porter Metrics Pricing\u003C/strong>\u003C/p>\u003Cp>As of June 2026, Porter Metrics has streamlined its pricing to a simplified pay-per-account model.\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e68f52dedcb6e32057469401274fe33b8\">\u003Cstrong>Free forever:\u003C/strong> 3 data source accounts, 30-day data history, MCP, BigQuery destination\u003C/li>\u003Cli data-list-item-id=\"e20b00a97c764d4e5f07e46a9d6952542\">\u003Cstrong>Paid plans:\u003C/strong> $12.50 per connected account per month, billed annually (e.g., 1 Meta Ads account = ~$12.50/month)\u003C/li>\u003Cli data-list-item-id=\"e45532d3ec1f36d1ea5e574ec87cdde74\">10 locations count as 1 account, relevant for multi-location operators\u003C/li>\u003Cli data-list-item-id=\"e91bfffd34fa100cc2dd7cba948204b5e\">14-day unlimited trial before downgrading to free-tier limits\u003C/li>\u003C/ul>\u003Ch2>5. Domo\u003C/h2>\u003Cp>\u003Cstrong>Best for: \u003C/strong>Enterprise data teams and tech-savvy marketing departments building custom data apps\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Domo_dashboard_592bc22dcf.png\" alt=\"Domo Dashboard - A business intelligence dashboard displayed on laptop and mobile screens.\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.domo.com/learn/article/the-ultimate-guide-to-building-a-bi-dashboard\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>Domo now talks about being an AI and Data Products platform where data integration, visualization, automation, and AI capabilities are part of one stack.\u003C/p>\u003Cp>It’s biggest 2026 updates came in March: \u003C/p>\u003Cp>1. An official MCP Server that connects Domo's enterprise data and workflows to external AI platforms like Claude and ChatGPT.\u003C/p>\u003Cp>2. A new AI Agent Builder and AI Toolkits.\u003C/p>\u003Cp>Domo's MCP is positioned as enterprise-grade, backed by its existing semantic layer and governance controls, a more locked-down approach than a lightweight MCP bolt-on. That governance comes at a real cost though: Domo remains one of the more expensive options here, with no public pricing and a steep learning curve once you go beyond basic dashboards.\u003C/p>\u003Cp>More skilled users can use Domo to create business apps and dashboards, and build data experiences that integrate real-time data from any source.\u003C/p>\u003Cp>Unlike some Funnel competitors, Domo has native data visualizations, self-service reporting, and embedded analytics.\u003C/p>\u003Cp>Domo has 1,000+ native connections, it’s safe to say it connects to almost everything, from your standard Facebook Ads to complex on-premise legacy databases and proprietary APIs.\u003C/p>\u003Cp>\u003Cstrong>Domo Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"One downside of Domo is its relatively high cost compared to other BI tools, which can be a concern for smaller teams.\" (\u003Ca href=\"https://www.g2.com/products/domo/reviews/domo-review-12676104\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"I really like that Domo has all the connectors and that everything is in the browser. It has over 1000 connectors, which is very convenient for connecting to different data sources.\" (\u003Ca href=\"https://www.g2.com/products/domo/reviews/domo-review-9326769\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"While basic dashboards are easy, the advanced features and integrations can take time to master. It can feel intimidating at times.\" (\u003Ca href=\"https://www.capterra.com/p/119119/Domo/#Capterra___7079692/\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ee115b4662042be133ac83250b42caefc\">1,000+ on-premise and cloud connectors\u003C/li>\u003Cli data-list-item-id=\"e099b8a807702c2799121d386a0a960f9\">Domo MCP Server (launched March 2026)\u003C/li>\u003Cli data-list-item-id=\"ed07df1f18bd18c27540191a2c7140d58\">AI Agent Builder and AI Toolkits\u003C/li>\u003Cli data-list-item-id=\"e2097f76d92ab990cb70627e406a63f2e\">Data and workflow apps (pre-built, low-code, full-code)\u003C/li>\u003Cli data-list-item-id=\"e40b79db507c5be9a89bf99b275f7404c\">Drag-and-drop report and dashboard builder\u003C/li>\u003Cli data-list-item-id=\"efa2486f3a669c5127ed9b979faa0c40b\">Embedded analytics\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Pricing\u003C/strong>:\u003C/p>\u003Cp>Domo doesn't publish pricing publicly. \u003C/p>\u003Cp>New users get a 30-day free trial with full access and unlimited users, but there's no permanent free tier afterward. \u003C/p>\u003Cp>Pricing is based on usage factors like data storage, refresh rates, and number of users, so you'll need to contact their sales team for a quote.\u003C/p>\u003Ch2>6. Adverity\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Data analysts, engineers, and high-maturity marketing teams needing complex ETL and governance\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Adverity_dashboard_4fa948cd40.png\" alt=\"\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.adverity.com/marketing-reporting\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/adverity-alternatives\">Adverity\u003C/a> is an integrated no-code data platform that marketers can use to connect various data sources, cleanse and transform data to get more granular insights, and ensure data quality.\u003C/p>\u003Cp>With Adverity, you can transfer data into databases, data lakes, cloud storage, visualization, and BI tools. Adverity helps users automate advanced data integration and governance so marketing teams can focus on managing their data and uncovering valuable insights.\u003C/p>\u003Cp>The major 2026 move is Adverity Intelligence, a dedicated AI analytics layer launched in September 2025 and expanded through this year.\u003C/p>\u003Cp>Adverity Intelligence has three parts:\u003C/p>\u003Cp>\u003Cstrong>1. Data Conversations\u003C/strong>, where you query your data in plain English without SQL.\u003C/p>\u003Cp>\u003Cstrong>2. Notebooks\u003C/strong>, a collaborative space for turning those answers into shared narratives.\u003C/p>\u003Cp>\u003Cstrong>3. Intelligent Agents\u003C/strong>, which schedule recurring insights or trigger workflows autonomously. \u003C/p>\u003Cp>It's all built on MCP, so external AI tools can coordinate with Adverity's agents directly. This is a real shift from a pure ETL tool toward a genuine analytics layer, but like Funnel.io, you still need a separate tool to visualize and share client-facing reports.\u003C/p>\u003Cp>If you need one platform to cover and scale the entire marketing reporting use case, you may have to consider other Funnel alternatives.\u003C/p>\u003Cp>\u003Cstrong>Adverity Reviews from Real Users\u003C/strong>\u003C/p>\u003Cp>\"I would say the UI of Adverity is something that I have gotten familiar with, and it's pretty neat. It's very easy to understand how the data is flowing, from the connector to the warehouse.\" (\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-12951912\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Available Adverity documentation found on the Adverity site is often not up to date, and there is no date to be seen, so it's hard to find out if something has been updated recently or not.\" (\u003Ca href=\"https://www.g2.com/products/adverity/reviews/adverity-review-12949344\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Adverity has dozens of pre-built API connections to various platforms, which makes managing extraction much simpler than using an in-house tool.\" (\u003Ca href=\"https://www.trustradius.com/products/adverity/reviews\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e2dd657da29580989c7a835dd7c27fcf0\">600+ pre-built connectors\u003C/li>\u003Cli data-list-item-id=\"e90a3ba1b137ad1c7b1df427347a6ac77\">Adverity Intelligence: Data Conversations, Notebooks, Intelligent Agents\u003C/li>\u003Cli data-list-item-id=\"ec1aa64c42773170e57e8960a52760d72\">MCP foundation for external AI coordination\u003C/li>\u003Cli data-list-item-id=\"ecc85c70b1f3d505efdd0fbb8c22db971\">Built-in data governance\u003C/li>\u003Cli data-list-item-id=\"ed3364abf24eac00db7c6fe328c486a5c\">Data transfer to databases and data lakes\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Pricing\u003C/strong>:\u003C/p>\u003Cp>Adverity has a pricing model without numbers. Instead, fully customized quotes are tailored to the needs and requirements of every client.\u003C/p>\u003Cp>But \u003Ca href=\"https://azuremarketplace.microsoft.com/en-us/marketplace/apps/adverity.adverity?tab=PlansAndPrice\" target=\"_blank\" rel=\"noopener noreferrer\">on the Microsoft Azure Marketplace, Adverity\u003C/a> offers a one‑time purchase model: a $200,000 upfront fee covers a full 12‑month subscription.\u003C/p>\u003Cp>We covered \u003Ca href=\"https://whatagraph.com/reviews/adverity\">everything you need to know about Adverity\u003C/a> in our full guide, including whether shelling out $200,000 is worth it or not!\u003C/p>\u003Ch2>7. NinjaCat\u003C/h2>\u003Cp>\u003Cstrong>Best for:\u003C/strong> Mid-market to large marketing agencies and enterprise teams needing unified call tracking, budget pacing, and white-label reporting\u003C/p>\u003Cp>\u003Cimg src=\"https://s3.us-east-2.amazonaws.com/whatagraph.com/Ninjacat_report_funnel_alternatives_f69e98e6c4.webp\" alt=\"Ninjacat report - funnel alternatives.webp\">\u003C/p>\u003Cp>\u003Ca href=\"https://www.ninjacat.io/marketing-performance-management-platform/reporting-software\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Ci>Source\u003C/i>\u003C/a>\u003C/p>\u003Cp>\u003Ca href=\"https://whatagraph.com/blog/articles/ninjacat-alternatives-and-competitors\">NinjaCat\u003C/a> is a marketing reporting platform for digital marketing agencies.\u003C/p>\u003Cp>It allows users to track the spend and performance of Google Ads, Bing Ads, Facebook Ads, and other PPC tools. You can also connect, clean, and transform marketing data before moving it to destinations like Google Cloud Platform, Amazon S3, or Microsoft Azure.\u003C/p>\u003Cp>NinjaCat's 2026 direction is built around AI Agents that execute full workflows, not just give insights:\u003C/p>\u003Cp>\u003Cstrong>1.\u003C/strong> An anomaly detection agent might spot a 40% CPC spike\u003C/p>\u003Cp>\u003Cstrong>2.\u003C/strong> It alerts the paid media team via Slack\u003C/p>\u003Cp>\u003Cstrong>3.\u003C/strong> A second agent diagnoses the root cause, such as a competitor entering your top PPC keywords\u003C/p>\u003Cp>\u003Cstrong>4.\u003C/strong> A third agent generates response options for the team to act on\u003C/p>\u003Cp>The bigger structural launch this year is a Snowflake Connected App, letting enterprise customers run NinjaCat's entire AI agent platform natively inside their own Snowflake environment.\u003C/p>\u003Cp>Unlike Funnel.io alternatives such as Adverity or Supermetrics, NinjaCat has a native visualization layer for reporting. You can auto-generate reports from pre-made templates for different reporting cases.\u003C/p>\u003Cp>\u003Cstrong>NinjaCat Reviews from Real Users\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.\" (\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-12180387\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Making it easier to connect with various apps and configure the AI agent would help increase adoption.\" (\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-11775284\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\"Sometimes NinjaCat can be a bit overwhelming with all of the features and solutions it has, but that is not really a bad thing.\" (\u003Ca href=\"https://www.g2.com/products/ninjacat/reviews/ninjacat-review-12180387\" target=\"_blank\" rel=\"noopener noreferrer\">Source\u003C/a>)\u003C/p>\u003Cp>\u003Cstrong>Key features:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e8325fcb4c52f84c0a4b2b6bdce7858ff\">PPC and SEO reporting\u003C/li>\u003Cli data-list-item-id=\"eee17d14b75f512c0ea8c216f27af74b4\">AI Agents library (chained, autonomous workflows)\u003C/li>\u003Cli data-list-item-id=\"e7781f889a225e3e3084c59b0da5880cd\">Snowflake Connected App (native, zero-copy)\u003C/li>\u003Cli data-list-item-id=\"ec5cfd7a232d6f76fa007bb24f4440219\">White-label options\u003C/li>\u003Cli data-list-item-id=\"e1862cd6d6f537635d27b0a9525d269e6\">White-glove setup and service\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>Pricing\u003C/strong>:\u003C/p>\u003Cp>NinjaCat doesn’t offer fixed pricing plans, and no information is available on its website. Market data indicates that some contracts typically start at \u003Ca href=\"https://www.capterra.com/p/132630/NinjaCat/#pricing\" target=\"_blank\" rel=\"noopener noreferrer\">$1,500 per month\u003C/a>.\u003C/p>\u003Ch2>Which Funnel.io alternative is best for you\u003C/h2>\u003Cp>Depending on your job function and need, the right Funnel.io alternative will look different for you. Here’s a sum up: \u003C/p>\u003Cp>\u003Cstrong>✅\u003C/strong> If you're a mid-size marketing agency managing multiple clients and channels - and tired of stitching Funnel and Looker Studio together, choose \u003Cstrong>Whatagraph.\u003C/strong> One governed data foundation covers your connectors, client reports, portfolio dashboards, BigQuery export, and AI queries - without rebuilding context across tools every time.\u003C/p>\u003Cp>✅ If you're an in-house team or small agency that needs to move data from 400+ sources into Google Sheets, BI tools, or AI environments, choose \u003Cstrong>Coupler.io\u003C/strong>. It's the most flexible pipe for non-marketing data (finance, sales, ops) and the free tier is genuinely usable.\u003C/p>\u003Cp>✅ If you have a dedicated data team and a warehouse-first strategy, choose \u003Cstrong>Supermetrics.\u003C/strong> It's built for technical analysts who need controlled, destination-based data delivery at scale - and the new AI agents reduce the manual work on top.\u003C/p>\u003Cp>✅ If you’re a freelancer or running a boutique agency or SMB and need a budget-friendly option, choose \u003Cstrong>Porter Metrics\u003C/strong>. The pay-per-account model keeps costs predictable, and MCP access is available even on the free plan.\u003C/p>\u003Cp>✅ If you're an enterprise data team that needs custom data apps, 1,000+ connectors, and governed AI at the infrastructure level, choose \u003Cstrong>Domo\u003C/strong>. Budget for the learning curve and the custom pricing conversation.\u003C/p>\u003Cp>✅ If you're a data engineer or analyst and need complex ETL, governance, and autonomous AI agents across your data pipelines, choose \u003Cstrong>Adverity\u003C/strong>. Just know you'll still need a separate tool for client-facing reporting.\u003C/p>","2024-07-10T07:05:37.606Z","2026-07-31T08:53:21.305Z","2026-07-31T08:53:21.547Z","2026-06-23","wn39oudd1xpd52bes399l1u9",{"id":870,"name":871,"alternativeText":872,"caption":33,"width":748,"height":749,"formats":873,"hash":879,"ext":384,"mime":385,"size":880,"url":881,"previewUrl":33,"provider":370,"provider_metadata":33,"createdAt":882,"updatedAt":883,"documentId":884,"publishedAt":373,"focalPoint":33},15590,"7 Best Funnel.io Alternatives.png","Funnel io Alternatives - Five app icons on a blue background with a wave pattern",{"thumbnail":874},{"ext":384,"url":875,"hash":876,"mime":385,"name":877,"path":33,"size":878,"width":575,"height":576},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_7_Best_Funnel_io_Alternatives_f48cc28687.png","thumbnail_7_Best_Funnel_io_Alternatives_f48cc28687","thumbnail_7 Best Funnel.io Alternatives.png",26.4,"7_Best_Funnel_io_Alternatives_f48cc28687",805.89,"https://s3.us-east-2.amazonaws.com/whatagraph.com/7_Best_Funnel_io_Alternatives_f48cc28687.png","2025-10-06T13:23:45.022Z","2025-10-06T13:23:49.106Z","ac9hpmgnw1py41s70w7p3kqa",{"id":586,"name":587,"about":588,"email":589,"createdAt":590,"updatedAt":591,"publishedAt":592,"slug":593,"linkedin_url":594,"documentId":595},{"id":92,"title":851,"slug":852,"subheading":853,"createdAt":854,"updatedAt":855,"publishedAt":856,"documentId":857},{"id":5,"title":888,"subtitle":889,"createdAt":890,"updatedAt":891,"publishedAt":892,"documentId":893,"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",1786379053908]