All Our Tracking Was Correct… but Our Conclusions Were Wrong

We had Google Analytics set up perfectly. UTM parameters on every link. Custom events firing on every meaningful interaction. Conversion funnels configured exactly the way the documentation recommended. Our data was clean, consistent, and completely misleading. The problem was not our tracking implementation. The problem was our interpretation logic. We were drawing business conclusions from marketing-layer data, and those two layers do not always point in the same direction. Why Technically Correct Tracking Produces Wrong Insights Marketing analytics tools are built to answer marketing questions. Which ad drove this session? Which page did the user visit before converting? These are valid questions for campaign optimization. They are not equipped to answer questions about business health, customer quality, or revenue sustainability. Understanding the structural limitations of your measurement model is just as important as having clean data. The choice between marketing mix modelling v