Analytics.
The solution depends on the problem. This page describes when analytics work is worth doing and when it is not.
What problem does this solve?
You cannot trust the numbers.
When does a business actually need it?
Platforms report different results, or decisions are made on data nobody believes.
What do we investigate?
Tracking setup, attribution, event quality, reporting and what decisions the data should support.
What can we change?
Tracking, naming conventions, dashboards and how the business reads its own performance.
How do we implement it?
Server and tag configuration, then reporting built around decisions rather than charts.
How do we measure it?
Agreement between platforms and the store, and fewer decisions made on guesswork.
When might this not be the right solution?
The business is too early to have data worth analyzing. A simple setup is enough.
A clearer view of the business starts with the right questions.
Share the commercial context. Each request is reviewed before a next step is recommended.