For digital analytics teams # Automate the work that consumes your analytics capacity. 70% of your analytics capacity goes to work that never makes it into the dashboard: verifying data, maintaining implementations, diagnosing issues, debugging what breaks. It rarely gets seen, but every number depends on it. **This work has to be done. It doesn’t have to be done by you.** Data checks Every event, property and value verified on real traffic, around the clock: coverage, types, casing, consent — before the number lands in a dashboard. Implementation maintenance A living schema of your tracking, kept current with every release: what appeared, what disappeared, what changed shape, and who owns it. Diagnosis A drop, a spike, a gap between platforms: Trackingplan investigates before it answers and tells you whether it’s demand or tracking. Debugging Real sessions and payloads, from the dataLayer to the destination, with the tag, the trigger or the variable that caused it. > “Before Trackingplan, we spent around five to six hours per project every month just debugging and ensuring data accuracy.” **Álvaro Salmerón** · Digital Analytics Consultant, On Top Media Ask it [Can I send these numbers to the board?Send](/#ask=Can%20I%20send%20these%20numbers%20to%20the%20board%3F) [Review the dataLayer and the main events — tell me if you see any implementation problem.Send](/#ask=Review%20the%20dataLayer%20and%20the%20main%20events%20%E2%80%94%20tell%20me%20if%20you%20see%20any%20implementation%20problem.) [Start asking your data →](https://app.trackingplan.com/signup) [Book a demo](/demo) Sounds familiar? ### Everyone’s questions end up on your desk. None of them really needed your judgment. But they still need your time. So the work that actually does need an analyst keeps waiting. And everyone else waits with it. **#analytics** · direct requeststoday unanswered*0* requests ## Analytics, without the bottleneck. Trackingplan takes care of repetitive questions, reports, and data checks, giving analysts their time back — and everyone else an answer. - Analytics capacity, regained ### Automate the invisible work your data depends on. You’ve got better things to do than manually auditing tags, maintaining outdated spreadsheets, or scrambling to fix tracking issues only after they’ve already broken your tracking. Posted to #tracking · 4 minutes ago Slack·Email Real-time alert · 4 minutes ago **TikTok – Purchase is firing on two different triggers** since the GTM publish at 11:02. Every order has been reaching TikTok twice since then. **Trackingplan** · monitor Since 11:02, each purchase goes out to TikTok twice from the same tag: once on the *Purchase Confirmation* pageview and once on the *purchase* DataLayer event. TikTok’s bidding has been optimizing on a doubled signal since 11:02. GA4 and the other pixels are unaffected. **Cause:** the 11:02 publish added the *purchase* DataLayer trigger to *TikTok – Purchase* without removing *Purchase Confirmation*, so both match on every order. One trigger to remove in GTM. Purchase hits to TikTok, per minuteSince the publish - Answers, on demand ### Give every team an AI analyst they can turn to. Let our agent answer the questions you get asked every day — grounded in your data, directly in the channels they already use, and without adding another request to your to-do list. **Trackingplan** demo workspace **Sarah** · Paid Media Lead Pinterest conversions fell off a cliff — is the campaign dying? traffic\_vs\_conversions · pinterest · 14dinspect\_hits · pinterest checkout · last 24h **Trackingplan** **The campaign isn’t. The tag is.** Since Tuesday at 16:40 the Pinterest tag fires without `order_id` on 100% of checkouts, and Pinterest discards those. Clicks and landing sessions are flat versus last week. **Cause:** the variable `DL – order_id` was renamed in GTM release v92. One change, no budget decision needed. clicks *flat* · landing sessions *flat* · conversions −97% · since Tue 16:40 Suggested next actions [Give me the exact change](/#ask=Pinterest%20conversions%20fell%20off%20a%20cliff%20%E2%80%94%20is%20the%20campaign%20dying%3F) [Send this to #paid-social](/#ask=Pinterest%20conversions%20fell%20off%20a%20cliff%20%E2%80%94%20is%20the%20campaign%20dying%3F) [Tell me when it’s back](/#ask=Pinterest%20conversions%20fell%20off%20a%20cliff%20%E2%80%94%20is%20the%20campaign%20dying%3F) [Continue this thread with the agentSend](/#ask=Pinterest%20conversions%20fell%20off%20a%20cliff%20%E2%80%94%20is%20the%20campaign%20dying%3F) - The layer where data breaks ### The agent that knows when to trust the data. Most AI analytics starts with what’s already in the warehouse. Trackingplan starts where your data is actually produced — the hit, the dataLayer, the SDK, the pixel, the CAPI payload, the consent state, the GTM release. That’s where a number becomes true or false — and where Trackingplan AI actually looks. **Trackingplan** demo workspace **You** · Analyst Can I send these numbers to the board? reconcile · revenue, purchases, sessions · quarterconsent\_coverage · EU · since 20th **Trackingplan** **Revenue and purchases: yes.** Server-side and GA4 agree within 0.4% for the quarter, consent coverage is stable, no open implementation warnings. **Sessions: not yet.** Since the cookie banner update on the 20th, 9% of EU sessions land without a consent state and GA4 drops them. The quarter is undercounted by roughly 6%. Send the revenue slide as is; footnote sessions or wait for the banner fix I’ve drafted. revenue *±0.4%* · purchases *±0.4%* · sessions −6% est. Suggested next actions [Give me the footnote text](/#ask=Can%20I%20send%20these%20numbers%20to%20the%20board%3F) [Send the banner fix to the web team](/#ask=Can%20I%20send%20these%20numbers%20to%20the%20board%3F) [Check these three again before the next board pack](/#ask=Can%20I%20send%20these%20numbers%20to%20the%20board%3F) [Continue this thread with the agentSend](/#ask=Can%20I%20send%20these%20numbers%20to%20the%20board%3F) - 24/7 Monitoring ### Shift from reactive to proactive Stop waiting for a dashboard to look weird — or for someone to complain – to realize two weeks later that tracking is broken. Trackingplan monitors your implementation 24/7 and alerts you as soon as something stops firing, starts sending unexpected values, or silently disappears. Posted to #paid-media · 2 hours ago Slack·Email Real-time alert · 2 hours ago **utm\_campaign is empty on 97% of paid landings** since yesterday. Google Ads and Meta traffic is being attributed as direct. **Trackingplan** · monitor Since yesterday morning, sessions landing from Google Ads and Meta arrive with *utm\_source* and *utm\_medium* but no *utm\_campaign*: 11,400 sessions so far, across the 14 landing pages of the *Back to School* campaigns. GA4 is reporting them as *direct / (none)*. Organic and email traffic are unaffected. **Cause:** the new ad sets went live yesterday with a tracking template that never fills *utm\_campaign*. The old ad sets still do. One template to fix in the ad accounts. Paid sessions with utm\_campaign, %Since yesterday - Automated debugging ### Turn errors into instant fixes And when an error appears, ask Trackingplan to automate its debugging — from finding the cause to routing it to the right person. With full visibility into what was sent, what wasn’t, and why. No emulators. No need to replicate the issue or the user’s environment. Just actual data from real users navigating your sites or apps, with all the context you need to fix it fast. Posted to #tracking · 14 minutes ago Slack·Email Warning · 14 minutes ago **purchase is missing *currency* on 22% of hits** since the 09:15 release. Meta and Google Ads are discarding those conversions. **You** · analyst · 09:31 Automate the debugging: find the cause, and send the fix to whoever owns the tag. diff · release 09:15 vs previoussample\_hits · purchase without currency · 40owner · GTM tag history **Trackingplan** · debugging **Cause found.** Every purchase without *currency* comes from the new express checkout: it builds its own *purchase* payload and never sets the property. The regular checkout still carries it, so 78% of orders are fine. **Fix:** add `currency: order.currency` to the express checkout’s dataLayer push, next to *value*. One line. Sent to @ashley (last editor of the tag) in #implementation\_analytics with the 40 sample hits and the diff. I’ll confirm here on the first clean purchase. 312 orders affected · 1 property · owner notified · *watching for the fix* ## Some answers before the answers. ?What is Trackingplan? tp Trackingplan is your digital analytics agent. It works the way a digital analyst works: it sees the data as it is produced, monitors it continuously across 170+ analytics and ad providers, investigates what happened before it answers, and shows the evidence behind its conclusions. Ask it a question, give it a task, or let it run an automation. It works from your actual traffic — not from assumptions — and can deliver the answer where your team already works: Slack, Teams, email, your app, or your IDE. ?What data does it actually see? tp Every request your website, iOS and Android apps, and server-side endpoints send to 170+ analytics and ad providers — including GA4, Meta, Google Ads, TikTok, Bing, Mixpanel, Segment, Amplitude, Snowplow, your CDP, and your consent stack — plus the dataLayer underneath them. Trackingplan captures the schema, values, providers, consent signals, timing, and implementation context as data flows through your stack. The agent reasons over your actual traffic and its history, rather than filling gaps with a model’s guess. ?Why not use a general assistant with an MCP on our warehouse? tp **Because an AI agent can only reason about what it can see.** A warehouse tells you what data eventually arrived. It doesn’t tell you whether the pixel fired correctly this morning, whether a consent state changed, whether a GTM release dropped a parameter, or whether Meta started receiving a different payload after a deployment. By the time the problem reaches the warehouse, the evidence about how the number was produced may already be gone. Trackingplan starts at that layer. It observes the hits, dataLayer, pixels, SDKs, server-side payloads, consent signals, and implementations that determine what eventually reaches your analytics stack. It automatically builds the schema and semantic context around your real traffic, so the agent can understand what happened, what changed, where it happened, and whether the resulting data can be trusted. ?Another tool to configure? tp **No.** Trackingplan is designed to start observing without asking you to build a data model first. Add one tag, pixel, server-side connection, or our iOS/Android SDK. No tables to expose, no relationships to define, no semantic layer to build, and no tracking plan to configure before the agent can start working. As data flows in, Trackingplan automatically infers your schema and semantic model from what is actually happening. ?What about privacy and PII? tp We are fully committed to respecting user privacy and maintaining compliance with global privacy regulations such as GDPR and CCPA. Trackingplan only observes the data your site or app is already sending to analytics or marketing tools — and only for the purpose of monitoring tracking quality and detecting implementation issues. - **Cookies.** Trackingplan does not use cookies. Our SDK only uses local storage to keep working locally, never to identify users across sessions or transmit that information to our servers. - **User IDs.** If your site or app sends user IDs to your analytics or ad vendors, Trackingplan inspects these requests as part of its monitoring. These IDs are never stored, linked, or enriched. All data is anonymized or masked on the user’s device before being forwarded for analysis. - **Fingerprinting.** Trackingplan does not use any form of fingerprinting. We do not collect device characteristics, behavioral patterns, or any other data used to generate unique identifiers. In short: Trackingplan never introduces new tracking mechanisms, never stores personal data, and never builds user profiles. We act only as a passive observer of the data you’re already sending to your vendors, with strict safeguards against access to personally identifiable information. If you want to review the decompiled script under NDA, contact our support team. For a complete overview, visit our Privacy & Security documentation. ?Prevention cannibalizes my billable hours. tp **It should cannibalize the work nobody wants to bill for.** For agencies and consultants, the value isn’t in spending hours manually checking pixels, chasing broken implementations, or answering the same tracking question for the tenth time. It’s in being able to take on more sophisticated work, serve more clients without adding proportional headcount, and spend your time where expertise actually matters. Trackingplan automates the repetitive operational layer. Your expertise stays in the loop where judgment matters. [Still have questions? Book a demo · 30–45 min →](/demo) Book a demo ## Let’s see if we’re a match, data-style. This isn’t a sales call. It’s a chance to understand what matters most to you, discuss any data quality concerns you may have, and share practical ways Trackingplan could support your goals, if it makes sense. [Book a demo →](/demo) [Start free trial](https://app.trackingplan.com/signup) **Chats** × Send Sample workspace. Answers are scripted — the real one reads your traffic.