Measured Commerce — Page 3

When MMM makes sense for smaller DTC brands and when it doesn't.

Data-driven attribution silently fails on small budgets without warning.

Three measurement methods reveal where traditional ROAS math gets it catastrophically wrong.

Platforms claim last-click credit they didn't earn.

Brands lose visibility into AI-driven sales that attribution models cannot track.

Frequent testing contaminates control groups and masks true channel performance.

How to fix noisy baselines before incrementality tests fall apart.

Ghost ads measure true ad impact by withholding exposure while preserving auction conditions.

Incrementality testing isolates causation; conversion lift only measures correlation.

Comparing engaged shoppers to non-engaged shoppers measures intent, not the AI tool's actual value.

Platform dashboards inflate ad performance; geo-holdout tests reveal what actually drove sales.