Data platform · Tracking · Under NDA
One view of marketing data from many platforms.
A normalization layer, a token broker and a dashboard builder.
The problem
The client's marketing data lived in several ad and analytics platforms. Each one names things differently, counts differently and expires access on its own schedule. Getting one view you could trust meant stitching it together by hand.
What we built
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01
A normalization layer.
Data from every source is mapped into one consistent model, so "a conversion" or "spend" means the same thing everywhere.
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02
A token broker.
One service that holds and refreshes the access tokens for every connected platform. When a token expires, it's renewed in the background, so dashboards don't quietly go blank.
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03
A dashboard builder.
The client's team builds and edits their own dashboards on top of the clean data, without asking us.
Architecture diagram
Redrawn without client names.
Real data stays with the client.
What the client owns
The code, the database, the documentation and every platform connection. Built in their accounts.
Why it matters for you
The same skills that make this platform work are the ones behind a reliable GA4, GTM and ad conversion setup: knowing exactly how each platform counts things, and making them agree.
Your project could be the next story. (With your permission.)
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