Automation
Ask anything. In plain English. Trackingplan builds the automation for you — writing the narrative, creating the chart, linking the evidence, and delivering it where your team already works.
Reports
A weekly leads report, a Monday conversion-gap email, a daily traffic digest. The numbers, the chart, and what changed — written for the people who read it.
Ad-hoc monitoring
Turn the checks your team cares about into always-on monitoring: “Logged-in users must always carry user_id”, “Every purchase must include currency”…
Routing
Slack, Teams, email, Jira, or a webhook. Every automation goes where its audience already works, with the evidence linked.
Your touch
Add your reading of the numbers before it goes out. The analyst’s note travels with the report.
“Trackingplan allows you to direct your efforts to the most impactful areas, which means better outcomes with fewer resources wasted.”
How it works
See it in action
Slack, email, Claude over the MCP, Jira: pick one on the left to see its latest run, with the evidence it came with.
In the product
Reporting
Per-team digests, live reports that never go stale… for those who want answers, wherever they want them.
Anomalies: notification events spiked +214% at 09:00, most likely the push campaign; confirm with growth. Meta Purchase CAPI events fell 31% below baseline: event_id coverage dropped from 99% to 41% at 03:14 UTC.
Issues opened overnight: the checkout_v2 tag is missing on /cart/payment (200 sessions), gclid coverage on Google Ads conversions is down to 32%, and the new onboarding_started event fires without user_id in 17% of hits.
Ad-hoc monitoring
Turn the weird, specific checks your team has learned to care about into always-on monitoring.
Since the 09:15 release, purchases from the new express checkout leave without currency: 312 orders so far, 22% of the total. Meta and Google Ads discard those conversions, GA4 reports them with no revenue. Purchases from the regular checkout still carry it.
Cause: the express checkout builds its own purchase payload and never sets currency. One property to add in the express checkout’s dataLayer push.
Custom schedules
Turn manual verifications into scheduled checks that run automatically and surface changes when they matter.
_ttp is set by TikTok – Base Pixel on every page, 240 ms after load; _uetsid by Bing – UET on /checkout. Neither tag existed in the container before yesterday’s 18:40 publish. The other 45 cookies still match the CMP declaration, purpose and retention included.
To fix: add both cookies to the CMP with their purpose, and put the two tags behind the marketing consent trigger, as the other pixels are.
Automated debugging
And when an error appears, ask Trackingplan to automate its debugging — from finding the cause to routing it to the right person.
Since v96 went live at 10:20, the Meta pixel sends content_ids from ecommerce.items[].id while GA4 keeps reading item_id: 100% of purchases since then, 1,204 orders. Meta’s catalog matching has been failing on all of them, so Advantage+ is learning from purchases with no product.
Cause and fix: v96 renamed item_id to id in the items array; the GA4 tag has a fallback, the Meta tag does not. Either restore item_id in the dataLayer push, or point the DL – content_ids variable at items[].id and map it to the SKU. Owner @ashley, last editor of the tag.
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 80+ 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.
Every request your website, iOS and Android apps, and server-side endpoints send to 80+ 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.
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.
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.
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.
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.
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.
Put expert digital analytics capabilities in everyone’s hands — grounded in what's actually happening in your data.