For developers # Your QA engineer for the dataLayer, the SDKs and every release. Every push to production gets reviewed. Trackingplan sees every hit and tells you what the schema actually looks like in the wild — casing duplicates, missing keys, orphan events, dead pushes — with the offending hits and the change that caused them. [Start asking your data →](/#ask=What%20broke%20in%20my%20tracking%20this%20week%3F) [Book a demo](/demo) Ask it ## Every release, reviewed The agent works from your real traffic, investigates before it answers, and shows the evidence. Two threads a developer would open here. **Trackingplan** demo workspace **You** · Developer Review the dataLayer and the main events — tell me if you see any implementation problem. inspect\_datalayer · 24h · web, ios, androidschema\_diff · vs last week **Trackingplan** **Overall healthy: 31 events, two problems worth fixing.** 1 · `purchase.value` arrives as a string (“129.90”) on the new checkout — GA4 accepts it, Google Ads doesn’t count it. 2 · `view_item` is missing `item_category` on 18% of Android hits since SDK 3.1. The dataLayer itself is consistent: same event names and property types across web, iOS and Android, no duplicates, consent state present on 100% of hits. 31 events · 2 issues · 3 platforms consistent Suggested next actions [Show me the string-value hits](/#ask=Review%20the%20dataLayer%20and%20the%20main%20events%20%E2%80%94%20tell%20me%20if%20you%20see%20any%20implementation%20problem.) [Open issues for both](/#ask=Review%20the%20dataLayer%20and%20the%20main%20events%20%E2%80%94%20tell%20me%20if%20you%20see%20any%20implementation%20problem.) [Check every release like this](/#ask=Review%20the%20dataLayer%20and%20the%20main%20events%20%E2%80%94%20tell%20me%20if%20you%20see%20any%20implementation%20problem.) [Continue this thread with the agentSend](/#ask=Review%20the%20dataLayer%20and%20the%20main%20events%20%E2%80%94%20tell%20me%20if%20you%20see%20any%20implementation%20problem.) **Trackingplan** demo workspace **You** · Developer Did the last release drop any parameter on checkout? compare\_releases · v94 → v95 · checkout\*query\_property\_coverage · 48h **Trackingplan** **One.** Release v95 (yesterday 17:02) dropped `coupon` from `checkout_step` on web — coverage went from 41% to 0% in the same minute. `begin_checkout`, `add_payment_info` and `purchase` are unchanged. Cause: the variable `DL – coupon` now points to `ecommerce.coupon_code`, which the checkout doesn’t set. v95 · checkout\_step · coupon 41% → 0% Suggested next actions [Show me the hits before and after](/#ask=Did%20the%20last%20release%20drop%20any%20parameter%20on%20checkout%3F) [Open an issue with the fix](/#ask=Did%20the%20last%20release%20drop%20any%20parameter%20on%20checkout%3F) [Check every release like this](/#ask=Did%20the%20last%20release%20drop%20any%20parameter%20on%20checkout%3F) [Continue this thread with the agentSend](/#ask=Did%20the%20last%20release%20drop%20any%20parameter%20on%20checkout%3F) AI at the core ## Analytics intelligence that never sleeps Replace manual QA workflows with specialized AI agents automating every stage of analytics quality, from discovery to governance. - *Agent 01***Discovery Agent** Maps your entire tracking ecosystem from real user data. No schemas or setup required. - *Agent 02***Monitoring Agent** Watches every analytics signal, pixel, and UTM continuously to detect anomalies the moment they happen. - *Agent 03***Debugging Agent** Traces root causes instantly. telling you exactly what broke and how to fix it in plain language. - *Agent 04***Governance Agent** Enforces naming conventions, UTM standards, and consent compliance across every team automatically. In the product ## What it does for your releases - 01 · Discovery Agent ### Everything’s Automated, Except Your Tracking Your stack is modern. Your pipelines are automated. But tracking validation? Still a manual afterthought. That’s a risk. One that hits production too often. **Everything’s Automated, Except Your Tracking** trackingplan · app ![User interface of Trackingplan showing Google Analytics 4 events with status, names, daily](/images/668fdff15c798d4f1d1c38de_Slider_01.webp) - 02 · Monitoring Agent ### Real-time visibility into your analytics releases See exactly what’s firing and how during analytics deployments, catching errors immediately and not weeks later when data is already lost. Think of it as a QA layer that runs 24/7, validating every tracking implementation automatically, so you don’t have to. - 03 · Debugging Agent ### Debug tracking faster by exploring real user sessions Debugging tracking errors shouldn’t mean spending hours trying to reproduce what went wrong in the browser. Explore real sessions and payloads 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. **Debug tracking faster by exploring real user ses** trackingplan · app ![User interface screenshot of a Tracks Explorer dashboard showing filters for date, destina](/images/68d56b15cdd9014eb56b7ea4_Group-12240-1.avif) - 04 · Monitoring Agent ### Live-debug your tracking in real time Watch hits flow into your website or app as they happen, with instant visibility into the payloads being sent. And when when testing a new implementation or troubleshooting tracking issues in high-traffic environments, simply isolate your session to focus on your own interactions. - 05 · Debugging Agent ### Protect your sprints from unexpected tracking issues Tracking problems often surface too late — breaking dashboards, triggering urgent bug fixes, and derailing your team’s priorities. Trackingplan helps you catch issues as they happen, so tracking issues never blow up into a full-on emergency. **Protect your sprints from unexpected tracking is** trackingplan · app ![Trackingplan daily digest on a phone listing seven new problems, such as a required label missing in Amplitude, next to the Segment overview with events, properties and warnings on a tablet.](/images/668ce560a5adddf78c437309_02.webp) 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) FAQ ## Some answers before the answers. ?How long does it take for Trackingplan to work? tp Trackingplan starts monitoring your data in real time immediately after installation — no lengthy setup, no code changes to your existing tracking. Depending on your traffic volume, your dashboard can be ready in as little as one hour. For lower-traffic sites, it may take up to a week. You will receive an email notification as soon as enough data has been collected and your dashboard is ready. ?Will Trackingplan affect my site's visitor experience or performance? tp Not at all. Trackingplan is designed to have a minimal impact on your site. Our lightweight tag, only 10kb in size, has no significant effect on page load times. Additionally, our SDKs are optimized to ensure that your app's performance remains unaffected.The Trackingplan tag loads asynchronously with the page content, responding in less than 500ms. This means that it won't slow down your site's loading speed. Furthermore, once the configuration is stored in the browser cache, it won't be reloaded during subsequent page views for a period of 24 hours.With Trackingplan, you can gather the data you need without compromising the visitor experience or your site's performance. ?What are the problems Trackingplan will notify me about? tp Trackingplan automatically detects and alerts you about missing or dropped events, unexpected traffic drops or spikes, property type mismatches (e.g. a string where a number is expected), naming convention violations in events and UTMs, broken pixels (Meta, TikTok, Google Ads), consent and PII leaks, schema changes introduced by third-party tools, and regressions between releases. All monitoring runs continuously 24/7 in the background, with no manual checks required. Moreover, [Trackingplan's Digests](/docs/digests) will notify your team with all you need to know about the state of your data at the beginning of your work day so that you can work on what you do best instead of having to find those errors by yourself. ?How does Trackingplan's AI Debugger identify the root cause of analytics errors? tp When Trackingplan detects an anomaly, its AI debugging engine analyzes the affected events, properties, and context to automatically pinpoint the root cause. Instead of a generic alert, you get a structured diagnosis: a plain-language summary of the issue, the most likely root cause hypothesis, recommended actions to fix it, and the conditions under which it occurs - with sample hits to reproduce the problem. What makes this especially powerful is the Potential Impact analysis. Rather than framing issues as purely technical, Trackingplan estimates the business consequences of leaving them unresolved - such as the effect on ROAS, conversion tracking, campaign attribution, or data reliability. This makes it significantly easier to prioritize fixes and communicate their value to stakeholders, clients, or leadership. ?How do I know if Trackingplan is for me? tp Trackingplan is built for digital analysts, developers, and marketing teams who deal with data quality issues. If your team spends time manually auditing tracking implementations, debugging broken events, or discovering data errors after they have already affected reports or ad spend, Trackingplan automates that entire process. It detects errors in real time, so you can focus on insights, not data firefighting. You can get started for free with no credit card required. ?Is there any free trial? tp Yes. The Growth plan includes a 14-day free trial with no credit card required. For Enterprise plans, a free Proof of Concept (PoC) period is also available so you can evaluate the solution against your specific business needs before committing. ?How do I get started? tp Getting started with Trackingplan takes three simple steps: 1\. Create a free account to generate your Trackingplan snippet. Install it via Google Tag Manager, by adding a lightweight code snippet to your site's head section, or via iOS and Android SDKs for apps — no code changes to your existing tracking required. 2\. Trackingplan automatically starts discovering and documenting all analytics traffic sent to your integrations. No manual configuration needed. 3\. Once your dashboard is ready, explore all events, pixels, UTMs, and campaigns automatically discovered. Invite your team, customize your alerts, and start resolving the issues Trackingplan has already spotted. More of Trackingplan - [Monitoring · always on**Every hit, every hour, every event — watched.**](/landings/monitoring) - [Install · 30 seconds**One tag. Your entire data layer monitored.**](/landings/install) - [Coverage · every platform**If it leaves the browser, the app or the server, we see it.**](/landings/coverage) - [Schema · semantics & context**The context your AI needs, built automatically.**](/landings/schema) - [For performance teams**Stop bidding blind on Meta, Google, Bing and TikTok.**](/landings/paid-media) - [For digital analytics teams**Automate the work that consumes your analytics capacity.**](/landings/data-analyst) - [For privacy & legal**Catch PII leaks and consent breaches before legal does.**](/landings/privacy) - [Agencies & consultancies**Every client’s tracking, audited every day, without a bigger team.**](/landings/agencies) - [Automation**Describe it once. Runs forever.**](/landings/automations) - [Journey explorer · real sessions**Complete visibility into your users data, every step of the way**](/landings/journey-explorer) - [Monitoring · iOS, Android, backend**Always accurate mobile analytics, even as your apps evolve**](/landings/app-tracking-monitoring) **Chats** × Send Sample workspace. Answers are scripted — the real one reads your traffic.