Why Meta, Google and Shopify Never Agree on Revenue
Why the three platforms report different numbers, what each one actually measures, and which figure you should trust for decisions.
Read article →Practical guides on attribution, incrementality, budget allocation, and building decision-ready analytics for DTC brands.
These articles focus on the real measurement problems DTC and e-commerce teams face when Meta, Google, and Shopify disagree — and how to move from platform-reported numbers to evidence-based decisions.
Why the three platforms report different numbers, what each one actually measures, and which figure you should trust for decisions.
Read article →No single metric is enough. How to use ROAS, CAC, and LTV together — and when each one becomes misleading.
Read article →Platform-reported conversions do not prove incrementality. The practical ways to measure true lift from Meta spend.
Read article →Rising CAC is often normal economics, not broken ads. How to diagnose the cause and decide what to do next.
Read article →Stop giving the next dollar to the channel with the highest reported ROAS. A clearer framework for marginal allocation.
Read article →Attribution and MMM answer different questions. When to use each — and why the strongest teams use both.
Read article →Last-click systematically undervalues demand creation and overvalues demand capture. What to use instead.
Read article →Start with order data, layer clean cost data, enforce consistent definitions — then every other analysis gets easier.
Read article →Don’t try to fix everything at once. The highest-leverage tracking fixes for DTC brands, in priority order.
Read article →True ROI requires incremental revenue, not just attributed revenue. A practical path from platform ROAS to decision-ready numbers.
Read article →I help DTC brands move from conflicting platform numbers to clear, incremental insight through MMM, incrementality tests, and decision-ready dashboards.
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