AI analytics agent · for marketing teams
Agentic analytics that starts where the numbers do. Trackingplan reads the hits your sites and apps send to GA4 and 170+ other providers, plus spend, clicks, and conversions from your ad accounts — and answers in Slack, in the app, or in Claude and ChatGPT through MCP.
Ask it
The agent works from your real traffic, investigates before it answers, and shows the evidence. Two threads a marketing lead would open here.
Pinterest conversions fell off a cliff — is the campaign dying?
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.
Why is Meta showing 240 more purchases than GA4 this week?
The gap is real, and this time it’s not a tracking error: Meta counts 1-day view-through conversions, GA4 doesn’t — that’s 212 of the 240. The remaining 28 are iOS purchases GA4 lost to consent.
Nothing to fix — but if you need one number for the deck, use the server-side count: 13,172.
In the product
Install · 30 seconds
One tag, SDK, or server-side hook. Events appear as traffic flows — web, mobile, and server — and your tracking plan builds itself from real traffic, with no rules to write.
Coverage · ads, marketing, analytics
GA4, Adobe, Amplitude, Meta, Google Ads, TikTok, LinkedIn, your CDP, and your consent vendor — 170+ providers, captured where each request is produced. Connect your ad accounts and spend, impressions, clicks, and conversions per campaign sit next to the traffic they bring.
Context · built from your traffic
Raw events are mapped to the concepts your team talks about, so anyone can ask about revenue, not about purchase.value. What your team teaches it, it keeps for the next question.
Evidence · behind every answer
It checks its work with SQL, Python, and a real browser before it answers. Every answer shows the queries behind it, and carries a data quality note when an issue changes the number.
Reports · where your team works
A weekly leads report, a Monday conversion-gap email — the numbers, the chart, and what changed, written for the people who read it. Ask in Slack or Teams, or in Claude, ChatGPT, or Cursor through MCP.
Book a demo
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.
FAQ
An AI that investigates before it answers. It reads the data, checks its work with tools, and shows the evidence behind its conclusion — the way a digital analyst would. That is what “agentic analytics” means in practice.
Trackingplan is your digital analytics agent. It sees the data as it is produced, monitors it continuously across 170+ analytics and ad platforms, and answers where your team already works: Slack, Teams, email, the app, or your AI tool through MCP.
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, or whether a GTM release dropped a parameter. Trackingplan starts at that layer — the hits, the dataLayer, the pixels, the server-side payloads, and the consent signals — so the agent can tell a weaker campaign from a broken tag.
No. Trackingplan doesn’t replace a warehouse semantic model, a BI platform, or a multi-touch attribution model. It makes the data feeding them inspectable, and it answers the questions they can’t: whether the number was produced correctly, and what changed when it wasn’t.
No. Add one tag, pixel, server-side connection, or our iOS or 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 infers your schema and semantic model from what is actually happening.
It names a cause only when two independent pieces of evidence agree. Anything less is presented as a hypothesis and labeled as one. If it can’t find the cause, it says so; it never claims there isn’t one. Every answer shows the queries behind it.
Trackingplan only observes the data your site or app is already sending to analytics or marketing tools. It does not use cookies, and all data is anonymized or masked on the user’s device before being forwarded for analysis. It never introduces new tracking mechanisms, never stores personal data, and never builds user profiles.
Yes. Starter and Growth start with a 9-day free trial: Trackingplan learns your tracking from real traffic, then you ask it about your own data. Plans start at 89€ a month; see pricing.
More of Trackingplan