Trackingplan's answer
In 2021, our founders faced a familiar frustration: broken analytics and unreliable data. Dashboards didn’t add up, key events were missing, and making decisions felt like guesswork.
Determined to fix it, we built Trackingplan; a tool to automatically monitor, validate data tracking, and catch issues before they impact business decisions. What began as a solution for ourselves quickly became essential for companies around the world.
Since then, we have been building the best observability layer for analytics data, sitting exactly where data breaks: the hit, the dataLayer, the SDK, the pixel, the CAPI payload, the consent state, the GTM release.
That’s where the truth of a number is actually decided, before it becomes the number everyone relies on.
But observability was only the foundation. Agency is the destination.
With AI, the question is no longer whether a system can act on your data. It’s whether the signal it acts on can be trusted.
Agents can now fix a tag, pause a campaign, rewrite an attribution model, or move your budget and bids. And the more autonomous they become, the more their decisions depend on the quality of the signal underneath them.
That’s where Trackingplan comes in: the observed state of your tracking, checked against what should be there, with a clear answer when reality and expectation don’t match. Because most AIs are trained to answer, ours is trained to tell the truth.
ObservePoint
Taglert
Analyzify
Briefmetrics
Elevar
TrackingCoder
Kickin Pixel Monitor
