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leaders",{"id":528,"name":529,"alternativeText":37,"caption":37,"width":31,"height":31,"formats":37,"hash":530,"ext":351,"mime":352,"size":531,"url":532,"previewUrl":37,"provider":355,"provider_metadata":37,"createdAt":533,"updatedAt":533,"documentId":534,"publishedAt":358,"focalPoint":37},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",{},{"data":537,"meta":654},[538],{"id":217,"documentId":539,"title":540,"slug":541,"card_description":542,"order":331,"roles":543,"tasks":548,"setup_minutes":23,"runs":550,"best_for":551,"createdAt":552,"updatedAt":553,"publishedAt":554,"icon":555,"agents":559,"seo":560,"content":584},"hp4axlndl0wkmkwtjjcnnp7w","Spot campaign problems before your clients do","ppc-monitoring","Monitor every client's campaigns across every ad platform on a schedule you set. See what needs attention before the client does.",[544,545,546,547],"Agency Owner","Account Manager","Paid Media Specialist","Client Services Lead",[549],"Monitoring and Alerts","Daily, weekly, or ad-hoc","PPC leads, paid media specialists, agency owners","2026-09-30T18:25:12.183Z","2026-09-30T20:52:46.944Z","2026-09-30T20:52:47.196Z",{"id":556,"documentId":557,"url":558,"alternativeText":37},17660,"xfxpak8yt6oom7i64ap4wi3k","https://s3.us-east-2.amazonaws.com/whatagraph.com/1_1e4533cd28.svg",[],{"id":561,"metaTitle":562,"metaDescription":563,"addNoIndex":17,"canonicalURL":37,"metaImage":564},3204,"PPC monitoring across every client and channel","An AI agent checks every client's campaigns on a schedule and flags spend spikes, conversion drops and stalled delivery, with the likely cause. You decide what to change.",{"id":565,"name":566,"alternativeText":37,"caption":37,"width":567,"height":568,"formats":569,"hash":579,"ext":369,"mime":370,"size":580,"url":581,"previewUrl":37,"provider":355,"provider_metadata":37,"createdAt":582,"updatedAt":582,"documentId":583,"publishedAt":582,"focalPoint":37},17716,"PPC monitoring with agents - IQ agents (1).png",2400,1256,{"thumbnail":570},{"ext":369,"url":571,"etag":572,"hash":573,"mime":370,"name":574,"path":37,"size":575,"width":576,"height":577,"sizeInBytes":578},"https://s3.us-east-2.amazonaws.com/whatagraph.com/thumbnail_PPC_monitoring_with_agents_IQ_agents_1_05cfa871cd.png","2604f9f4433bd93728b7528ab406f298","thumbnail_PPC_monitoring_with_agents_IQ_agents_1_05cfa871cd","thumbnail_PPC monitoring with agents - IQ agents (1).png",38.85,245,128,38853,"PPC_monitoring_with_agents_IQ_agents_1_05cfa871cd",1026.04,"https://s3.us-east-2.amazonaws.com/whatagraph.com/PPC_monitoring_with_agents_IQ_agents_1_05cfa871cd.png","2026-09-30T19:21:53.822Z","ntksk1jodc2x240bscwiepgs",[585,598,602,614],{"id":151,"text_above_title":37,"title":540,"subtext":586,"background":587,"cta":588,"__component":597},"Monitor every client's campaigns across Google, Meta, LinkedIn and more on a schedule you set. Agents flag spend spikes, conversion drops and stalled campaigns, so you can fix them before the client notices.","single-use-case",[589,594],{"id":590,"label":591,"url":592,"subtext":37,"style":593,"element_id":37,"color":37,"icon":37,"width":37},3490,"Sign up for agents","https://whatagraph.com/agents-waitlist","button",{"id":595,"label":320,"url":596,"subtext":37,"style":593,"element_id":37,"color":37,"icon":37,"width":37},3491,"https://whatagraph.com/book-a-call","sections.hero-dark",{"id":599,"content":600,"__component":601},366,"\u003Ch2 id=\"what-is-ppc-monitoring\">What is PPC monitoring?\u003C/h2>\u003Cp>PPC monitoring is checking your paid campaigns on a schedule for changes that need action: spend spikes, conversion drops, campaigns that stop delivering and tracking that breaks. The goal is to be proactive instead of reactive, and to spot and fix issues before clients ask or when the budget is used up. \u003C/p>\u003Cp>It covers every paid channel you run, like \u003Ca href=\"/integrations/google-ads\">Google Ads\u003C/a>, \u003Ca href=\"/integrations/facebook-ads\">Meta Ads\u003C/a>, \u003Ca href=\"/integrations/linkedin-ads\">LinkedIn Ads\u003C/a> and \u003Ca href=\"/integrations/microsoft-ads\">Microsoft Ads\u003C/a>.\u003C/p>\u003Cp>Here's what to watch:\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Signal\u003C/th>\u003Cth>Example\u003C/th>\u003Cth>Why it matters\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Spend spike or drop\u003C/td>\u003Ctd>A campaign spends three times its usual daily amount\u003C/td>\u003Ctd>Money goes out faster than planned, or stops going out at all\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Conversions dip\u003C/td>\u003Ctd>Conversions fall by half while spend stays the same\u003C/td>\u003Ctd>The client pays the same and gets less\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Stalled delivery\u003C/td>\u003Ctd>A campaign looks set up but has zero impressions\u003C/td>\u003Ctd>Nothing runs, and nobody knows until the report\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>CPA or ROAS out of range\u003C/td>\u003Ctd>Cost per lead climbs past the client's target\u003C/td>\u003Ctd>The account drifts away from the client's goals\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Tracking breaks\u003C/td>\u003Ctd>Add-to-cart or purchases drop to zero while ads keep running\u003C/td>\u003Ctd>Spend continues with no way to measure results\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Disconnected account\u003C/td>\u003Ctd>An ad account's connection expires\u003C/td>\u003Ctd>Reports and checks run on missing data\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Big changes across the book\u003C/td>\u003Ctd>Five clients' CTR drops on the same day\u003C/td>\u003Ctd>Often a platform change, not five separate problems\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Here's what PPC monitoring is not: \u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e8413cb14810b52a3fb99d4f6d52310da\">\u003Cstrong>Brand monitoring\u003C/strong> watches for competitors bidding on your brand terms. That's a different check.\u003C/li>\u003Cli data-list-item-id=\"e054e7cd99aeffe42ed61c26ad4bf02b7\">\u003Cstrong>Budget pacing\u003C/strong> compares spend with a budget plan. See \u003Ca href=\"/ai-agents-for-marketing/budget-pacing\">budget pacing\u003C/a> for that.\u003C/li>\u003Cli data-list-item-id=\"ef8ecc342e423b7de1b196ff34a9494e1\">\u003Cstrong>An audit\u003C/strong> is a one-off review of how an account is set up. Monitoring runs every day or week.\u003C/li>\u003C/ul>\u003Ch2 id=\"manual-vs-automated-ppc-monitoring\">Manual vs. automated PPC monitoring\u003C/h2>\u003Cp>If you have less than 5 clients, manual PPC monitoring still makes sense. But once you grow past that stage, monitoring every client and campaign becomes a bloated job that can take over most of your week. \u003C/p>\u003Cp>Platform tools can be useful here. \u003Ca href=\"https://support.google.com/google-ads/answer/2472779?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">Google Ads automated rules\u003C/a> can change bids, budgets and ad status, or send you an email, when conditions you set are met. \u003Ca href=\"https://developers.google.com/google-ads/scripts/docs/start\" target=\"_blank\" rel=\"noopener noreferrer\">Google Ads scripts\u003C/a> let you write JavaScript to query and manage accounts on a schedule. \u003Ca href=\"https://support.google.com/analytics/answer/9443595?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">GA4 custom insights\u003C/a> can alert you when a metric has an anomaly. \u003C/p>\u003Cp>But the problem is: each one only covers one platform, and you need to set up each account by hand. \u003C/p>\u003Cp>With Whatagraph IQ Agents, this problem goes away because:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"eceb695e67a56b8d26131b455d2eb32b9\">\u003Cstrong>Agents work on top of your cross-channel governed data layer. \u003C/strong>Connect all your cross-channel data to Whatagraph, blend data, and normalize dimensions on one platform. Then, agents work on top of this cleaned, governed data.\u003C/li>\u003Cli data-list-item-id=\"e3fcdd4d3cc6e12f44a7beea8531d7212\">\u003Cstrong>Agents are multiplayer.\u003C/strong> Build one agent and everyone on the team can use it. Conversations are also shared by default so you can collaborate with your team. Sensitive conversations can still be marked private. \u003C/li>\u003C/ul>\u003Cp>Here's how manual vs. platform rules vs. agents compare.\u003C/p>\u003Cfigure class=\"table\">\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth> \u003C/th>\u003Cth>Manual checks\u003C/th>\u003Cth>Platform rules and scripts\u003C/th>\u003Cth>Monitoring software\u003C/th>\u003Cth>AI agent + specialist\u003C/th>\u003C/tr>\u003C/thead>\u003Ctbody>\u003Ctr>\u003Ctd>Channels covered\u003C/td>\u003Ctd>Whichever ones you log into\u003C/td>\u003Ctd>One platform at a time\u003C/td>\u003Ctd>Depends on the tool\u003C/td>\u003Ctd>Every connected channel, per client\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>How often\u003C/td>\u003Ctd>When someone has time\u003C/td>\u003Ctd>On the rule's schedule\u003C/td>\u003Ctd>On the tool's schedule\u003C/td>\u003Ctd>On your schedule, daily or several times a day\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Thresholds\u003C/td>\u003Ctd>In your head\u003C/td>\u003Ctd>Fixed numbers you set\u003C/td>\u003Ctd>Fixed or preset\u003C/td>\u003Ctd>Fixed or relative to each client's normal\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>What you're told\u003C/td>\u003Ctd>Whatever you spot\u003C/td>\u003Ctd>That a rule fired\u003C/td>\u003Ctd>That a metric crossed a line\u003C/td>\u003Ctd>What changed, by how much, and the likely cause\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Who acts\u003C/td>\u003Ctd>The account manager\u003C/td>\u003Ctd>The rule, or the account manager\u003C/td>\u003Ctd>The account manager\u003C/td>\u003Ctd>The account manager, after reading the flag\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>When the owner is away\u003C/td>\u003Ctd>Checks stop\u003C/td>\u003Ctd>Rules keep running\u003C/td>\u003Ctd>Alerts keep coming\u003C/td>\u003Ctd>The agent keeps checking, and anyone on the team can read the flags\u003C/td>\u003C/tr>\u003Ctr>\u003Ctd>Typical failure\u003C/td>\u003Ctd>A problem found at month end\u003C/td>\u003Ctd>A rule that pauses the wrong campaign\u003C/td>\u003Ctd>Too many alerts to read\u003C/td>\u003Ctd>A vague brief, caught in the first week of review\u003C/td>\u003C/tr>\u003C/tbody>\u003C/table>\u003C/figure>\u003Cp>Looking for software recommendations? Check out our \u003Ca href=\"/blog/articles/ppc-reporting-tools\">PPC reporting tools\u003C/a> guide.\u003C/p>\u003Ch2 id=\"how-do-marketing-agencies-use-ai-agents-to-monitor-ppc-campaigns-in-whatagraph\">How do marketing agencies use AI agents to monitor PPC campaigns in Whatagraph?\u003C/h2>\u003Cp>Agencies use an agent to check every client's campaigns on a schedule and tell them what changed. A person then looks at the flag and decides what to do. Here's how three agencies set it up.\u003C/p>\u003Ch3 id=\"a-canadian-paid-media-team-monitoring-200-campaigns-on-autopilot\">A Canadian paid media team: monitoring 200+ campaigns on autopilot\u003C/h3>\u003Cp>This team runs more than 200 campaigns for its clients. It's virtually impossible to monitor all of them and have a real grasp of what's going manually.\u003C/p>\u003Cp>The paid media specialist at this team built an agent instead that:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ebc0d8500de28001d7c65a7760d4db89c\">monitors their Google Ads accounts for conversion dips every week\u003C/li>\u003Cli data-list-item-id=\"eafd1f517c47c6149b4f77f129a668ba2\">compares each campaign with the week before\u003C/li>\u003Cli data-list-item-id=\"e16d80d961a4638fa4ee8fae09df78cd5\">sends digests to Slack every week \u003C/li>\u003C/ul>\u003Ch3 id=\"a-uk-agency-spotting-spend-spikes-and-drops\">A UK agency: spotting spend spikes and drops\u003C/h3>\u003Cp>This agency checks client accounts every week, and sometimes more often. They wanted something to do that check for them and flag anything odd.\u003C/p>\u003Cp>They built an agent that looks for sudden spikes or drops in Google Ads spend. The output looked like what they expected to see.\u003C/p>\u003Cblockquote class=\"quote\">\u003Cdiv class=\"quote__body\">\u003Cspan class=\"quote__text\">\"On a Monday morning, we'd come in and already have a breakdown of what it's found each week for each client.\"\u003C/span>\u003Cfooter class=\"quote__author\">Paid media lead, UK agency\u003C/footer>\u003C/div>\u003C/blockquote>\u003Ch3 id=\"a-uk-media-agency-campaigns-that-never-started\">A UK media agency: campaigns that never started\u003C/h3>\u003Cp>This agency had a problem that's hard to catch by hand. A campaign would look fully set up, and then near the end of the month they'd find it didn't actually start.\u003C/p>\u003Cblockquote class=\"quote\">\u003Cdiv class=\"quote__body\">\u003Cspan class=\"quote__text\">\"We thought the campaign's completely set up, perfectly fine, and then... it'll get to... nearly the end of the month, and it hasn't delivered any impressions at all.\"\u003C/span>\u003Cfooter class=\"quote__author\">Web team, UK media agency\u003C/footer>\u003C/div>\u003C/blockquote>\u003Cp>They built an agent that checks every connected ad platform each day for stalled campaigns, day-parting problems and spend without conversions, then writes a short digest. On the first run, the digest also showed a broken Meta connection that wasn't returning any data.\u003C/p>\u003Ch2 id=\"how-to-set-up-ppc-monitoring-alerts-with-an-ai-agent\">How to set up PPC monitoring alerts with an AI agent\u003C/h2>\u003Cp>Treat the first two weeks as co-creation. The agent runs the check, you read the flags, and you tighten the rules until the flags match what you'd have caught yourself.\u003C/p>\u003Cp>\u003Cstrong>1. Connect every channel for each client.\u003C/strong> Put each client's ad accounts in their client folder. Group accounts from the same platform into a source group, so the agent reads them as one.\u003C/p>\u003Cp>\u003Cstrong>2. Define your metrics once.\u003C/strong> Build CPA, ROAS and conversions as custom metrics in the \u003Ca href=\"/data-hub\">Data Hub\u003C/a>. The agent then uses the same numbers as your \u003Ca href=\"/blog/articles/ppc-reporting-examples\">PPC client reports\u003C/a>.\u003C/p>\u003Cp>\u003Cstrong>3. Decide what \"normal\" means for each client.\u003C/strong> Pick a baseline, like the last 7 days, the last 28 days or the same day last week. Then pick how big a change counts as a problem. A 20% drop means something different for a $3,000 account than for a $300,000 one.\u003C/p>\u003Cp>\u003Cstrong>4. Write the brief.\u003C/strong> Describe the agent to IQ Agent in plain language, or paste this:\u003C/p>\u003Cdiv class=\"prompt-box\">\u003Cbutton class=\"prompt-box__copy\" type=\"button\" aria-label=\"Copy prompt\" data-tooltip=\"Copy\">\u003Csvg class=\"prompt-box__icon\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\">\u003Crect x=\"3.75\" y=\"6.75\" width=\"13\" height=\"13\" rx=\"1.5\"/>\u003Cpath d=\"M7.25 3.25h11.5a1.5 1.5 0 0 1 1.5 1.5v11.5\"/>\u003C/svg>\u003C/button>\u003Cspan class=\"prompt-box__status\" role=\"status\">\u003C/span>\u003Cdiv class=\"prompt-box__content\">\u003Cp>Run every [day] at [time], in [client's time zone].\u003Cbr>\u003Cbr>For each client in [client folder or list], compare [yesterday / the last 7 days] with [the 7 days before / the same day last week].\u003Cbr>\u003Cbr>Flag any campaign or ad set where:\u003Cbr>- spend is up or down more than [X]%\u003Cbr>- conversions are down more than [Y]% while spend is steady\u003Cbr>- there is spend but zero impressions or zero conversions for [N] days\u003Cbr>- CPA or ROAS is outside [range]\u003Cbr>- conversions or key events are at zero while spend continues\u003Cbr>\u003Cbr>Also list any data source with an expired or failed connection.\u003Cbr>\u003Cbr>Group the flags by client, most urgent first. For each flag, give the numbers, what changed and the likely cause. If you're not sure of the cause, say so.\u003Cbr>\u003Cbr>If nothing needs attention, reply \"none\".\u003Cbr>\u003Cbr>Don't pause campaigns, change budgets or edit anything. Only report.\u003C/p>\u003C/div>\u003C/div>\u003Cp>\u003Cstrong>5. Run it on one client and check the flags.\u003C/strong> Open the ad platform and compare two or three flagged numbers. Fix anything that doesn't match, like a time zone, a currency or a campaign you meant to exclude, and tell the agent to save the fix to its instructions.\u003C/p>\u003Cp>\u003Cstrong>6. Schedule it.\u003C/strong> Daily works for most clients. Run it several times a day for big spenders or during launches. It runs on Whatagraph's servers, so nobody has to keep a laptop open.\u003C/p>\u003Cp>\u003Cstrong>7. Decide where the flags go.\u003C/strong> Each run starts a conversation in Whatagraph that the whole team can see. If you've connected Slack, the agent can post the summary to a channel.\u003C/p>\u003Cp>\u003Cstrong>8. Keep the changes with a person.\u003C/strong> The agent reports. Your specialist pauses, edits or changes budgets in the platform.\u003C/p>\u003Cp>For the account-level checks, like expired connections, the pre-made Pacing agent reviews your whole account setup and gives you a checklist. Once one client works, copy the monitoring agent and change the client folder and thresholds.\u003C/p>\u003Ch2 id=\"what-are-the-benefits-of-ppc-monitoring-with-ai-agents\">What are the benefits of PPC monitoring with AI agents?\u003C/h2>\u003Cp>The first benefit is finding problems sooner. The business impact comes from what that changes: less wasted spend, fewer awkward client calls, and specialists who spend their time fixing campaigns instead of looking for what's wrong.\u003C/p>\u003Cp>\u003Cstrong>✅ Problems found before the client finds them.\u003C/strong> A stalled campaign caught on day two is a quick fix. Caught at month end, it's a hard conversation.\u003C/p>\u003Cp>\u003Cstrong>✅ Every client checked, not only the biggest.\u003C/strong> Manual checks favor the largest accounts. An agent checks all of them on the same schedule.\u003C/p>\u003Cp>\u003Cstrong>✅ Every channel in one check.\u003C/strong> Google, Meta, LinkedIn and Microsoft are checked together, per client, instead of in four separate places.\u003C/p>\u003Cp>\u003Cstrong>✅ Flags that explain themselves.\u003C/strong> Each flag comes with the numbers and the likely cause, so your specialist starts from a diagnosis.\u003C/p>\u003Cp>\u003Cstrong>✅ A Monday summary instead of 50 logins.\u003C/strong> The team starts the week with one list of what needs attention.\u003C/p>\u003Cp>\u003Cstrong>✅ Checks keep running when someone's away.\u003C/strong> The agent lives in the team's workspace, so monitoring doesn't stop when one person is on leave.\u003C/p>\u003Cp>\u003Cstrong>✅ Numbers that match the client report.\u003C/strong> The agent reads the same governed data as your reports, so a flag and a chart use the same numbers.\u003C/p>\u003Ch2 id=\"best-practices-for-ppc-monitoring\">Best practices for PPC monitoring\u003C/h2>\u003Cp>Good monitoring comes down to a few habits:\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e6e7fb1970d4d9f3f73995cd6da1f51b1\">\u003Cstrong>Compare each client with their own normal.\u003C/strong> Use each client's recent history as the baseline, not one number for everyone.\u003C/li>\u003Cli data-list-item-id=\"e7752104553e685826778123328aec397\">\u003Cstrong>Watch results, not only spend.\u003C/strong> Track conversions and revenue next to spend and clicks. Spend can look fine while results fall.\u003C/li>\u003Cli data-list-item-id=\"e3498ebe034e3bee274e23b8d4612c04d\">\u003Cstrong>Split urgent from weekly.\u003C/strong> A campaign that stopped delivering needs a same-day flag. A slow drift in CTR can wait for the Monday summary.\u003C/li>\u003Cli data-list-item-id=\"e3906ac9a916f8671dc218452f43ea3cd\">\u003Cstrong>Send one summary per run.\u003C/strong> Group flags by client, most urgent first. Ten separate alerts get ignored. One clear list gets read.\u003C/li>\u003Cli data-list-item-id=\"ee8d7defe238c2012186723e9d1e239b4\">\u003Cstrong>Tell the agent about planned changes.\u003C/strong> Launches, sales and paused products all look like problems in the data. Save them to the agent's memory so it doesn't flag them.\u003C/li>\u003Cli data-list-item-id=\"ed1eaa367c0d59e6cee9581fa505a5278\">\u003Cstrong>Review flags for two weeks, then tune.\u003C/strong> Loosen thresholds that flag too much and tighten ones that miss real problems.\u003C/li>\u003Cli data-list-item-id=\"eef6e55a1e4a87474bb16e7bb9a7d80f8\">\u003Cstrong>Log what each flag led to.\u003C/strong> Note which flags led to a fix and which were noise. That tells you which checks to keep.\u003C/li>\u003C/ol>\u003Cp>To decide which numbers to watch for each client, start from the goals you already track. Our \u003Ca href=\"/kpi-reporting-tool\">KPI tracking\u003C/a> page covers how to set them up.\u003C/p>\u003Ch2 id=\"what-common-mistakes-to-avoid-in-ppc-monitoring\">What common mistakes to avoid in PPC monitoring?\u003C/h2>\u003Ch3 id=\"one-threshold-for-every-client\">1. One threshold for every client\u003C/h3>\u003Cp>A 20% drop is noise on a small account and a real problem on a large one. One fixed number means too many flags for some clients and missed problems for others. Set the threshold per client, or make it relative to each client's recent history.\u003C/p>\u003Ch3 id=\"watching-one-platform\">2. Watching one platform\u003C/h3>\u003Cp>Alerts on paid search alone miss what happens on Meta, LinkedIn and in the analytics behind them. A tracking break often shows up as a drop in conversions on every channel at once. Check all channels together, per client.\u003C/p>\u003Ch3 id=\"treating-it-as-real-time\">3. Treating it as real-time\u003C/h3>\u003Cp>Scheduled checks can run several times a day, but not second by second. If you need to know within minutes that a website is down, use an uptime monitor. A PPC agent is for the changes you'd want to catch within hours, not seconds.\u003C/p>\u003Ch3 id=\"flags-with-nowhere-to-land\">4. Flags with nowhere to land\u003C/h3>\u003Cp>Without Slack connected, each run starts a conversation in Whatagraph that someone has to open. If nobody opens it, the flag doesn't help. Connect Slack, or make reading the summary part of the team's morning.\u003C/p>\u003Ch3 id=\"trusting-a-zero\">5. Trusting a zero\u003C/h3>\u003Cp>A metric at zero can mean the campaign stopped, tracking broke or the data connection failed. Each one has a different fix. Before you act, check which it is. Ask the agent to list failed connections separately, so you can tell them apart.\u003C/p>\u003Ch3 id=\"comparing-numbers-with-different-definitions\">6. Comparing numbers with different definitions\u003C/h3>\u003Cp>If the agent calculates CPA one way and your report calculates it another, the flag and the chart won't match. Define each metric once in the Data Hub and have the agent use it.\u003C/p>\u003Ch3 id=\"letting-the-agent-act-on-its-own\">7. Letting the agent act on its own\u003C/h3>\u003Cp>Pausing campaigns or changing budgets through an agent depends on each platform's access rules, and a pause is a client decision anyway. Keep the agent on detect and report. Your specialist makes the change.\u003C/p>\u003Ch3 id=\"mixing-monitoring-with-pacing\">8. Mixing monitoring with pacing\u003C/h3>\u003Cp>Monitoring looks for campaigns that behave differently than normal. Pacing checks spend against a budget plan. They need different rules, so run them as separate checks. \u003C/p>","sections.rich-text-content",{"id":603,"title":604,"subtext":605,"subtextBottom":37,"titleSize":606,"type":607,"subtextStyle":606,"disableTopMargin":17,"disableBottomMargin":17,"text_above_title":37,"CTA":608,"cta_collection":37,"__component":613},578,"Use agents to monitor your campaigns","\u003Cp>IQ Agents access is open in cohorts with guided setup for each. Sign up now.\u003C/p>","normal","dark 2",[609,611],{"id":610,"label":591,"url":592,"subtext":37,"style":593,"element_id":37,"color":37,"icon":37,"width":37},3492,{"id":612,"label":320,"url":596,"subtext":37,"style":593,"element_id":37,"color":37,"icon":37,"width":37},3493,"sections.headline",{"id":615,"description":37,"title":37,"items":616,"__component":653},1190,[617,621,625,629,633,637,641,645,649],{"id":618,"question":619,"answer":620},7168,"What is PPC monitoring?","\u003Cp>PPC monitoring is checking paid campaigns on a schedule for changes that need action, like spend spikes, conversion drops, stalled delivery and broken tracking. It covers every paid channel you run, so you can fix problems before they cost the client money.\u003C/p>",{"id":622,"question":623,"answer":624},7169,"What should you monitor in PPC campaigns?","\u003Cp>Watch spend, conversions, cost per conversion (CPA) and return on ad spend (ROAS) against each client's normal range. Also watch for campaigns with spend but no impressions or conversions, tracking that drops to zero, and ad accounts whose connection has expired.\u003C/p>",{"id":626,"question":627,"answer":628},7170,"How often should you monitor PPC campaigns?","\u003Cp>Daily for most accounts. Several times a day for large budgets, new campaigns and launches. Add a weekly summary for slower trends, like a gradual drop in click-through rate.\u003C/p>",{"id":630,"question":631,"answer":632},7171,"What's the difference between PPC monitoring and brand monitoring?","\u003Cp>PPC monitoring checks how your own campaigns perform. Brand monitoring watches for competitors bidding on your brand terms or using your brand name in their ads. Many agencies do both, as separate checks.\u003C/p>",{"id":634,"question":635,"answer":636},7172,"What's the difference between PPC monitoring and budget pacing?","\u003Cp>Budget pacing checks spend against a budget plan: are you over, under or on track. PPC monitoring watches everything else that can go wrong, like a drop in conversions, a stalled campaign or broken tracking. Most agencies run both, as separate checks.\u003C/p>",{"id":638,"question":639,"answer":640},7173,"Can AI detect anomalies in ad campaigns?","\u003Cp>Yes. An AI agent can compare each campaign with its own recent history and flag changes that fall outside the normal range, like a spend spike or a conversion drop. It works best when you tell it what normal looks like for each client, and when a person reviews the flags before acting.\u003C/p>",{"id":642,"question":643,"answer":644},7174,"Can I get real-time PPC alerts?","\u003Cp>Not from a scheduled agent. Checks can run several times a day, which catches most problems within hours. If you need to know within minutes that something broke, like a website going down, use a dedicated uptime monitor alongside it.\u003C/p>",{"id":646,"question":647,"answer":648},7175,"Will a monitoring agent pause my campaigns?","\u003Cp>Not unless you set it up to, and we recommend you don't. The agent checks and reports. Pausing campaigns or changing budgets depends on each platform's access rules, and it's a decision your specialist should make with the client in mind.\u003C/p>",{"id":650,"question":651,"answer":652},7176,"PPC monitoring tools: which ones are most recommended?","\u003Cp>It depends on how many accounts and channels you manage. Platform tools, like Google Ads automated rules and scripts, work well inside one platform. Dedicated monitoring software adds alerts across accounts. AI agents on a governed data layer check every channel against each client's own normal and explain what changed. If you already use Claude, you can also ask it about campaign performance by connecting it to your data through \u003Ca href=\"https://whatagraph.com/mcp\">Whatagraph MCP\u003C/a>.\u003C/p>","sections.faq",{"pagination":655},{"page":5,"pageSize":147,"pageCount":5,"total":5},1790805759085]