How AI Vendors Define and Report Influenced Revenue
Each vendor defines "influenced revenue" differently, making comparisons meaningless.
Each vendor defines "influenced revenue" differently, making comparisons meaningless.
Platform gaps and vendor incentives make AI commerce lift claims impossible to compare fairly.
Vendor case studies hide the measurement decisions that inflate their results.
Engaged-shopper filters distort conversion rates before any measurement begins.
Per-order profit dollars reveal which DTC brands actually survive customer acquisition costs.
Three metrics reveal what platform dashboards hide about your actual profitability.
Why CAC payback period matters more to your cash flow than ROAS ever will.
DTC brands systematically overstate customer lifetime value by five compounding mistakes.
Brands need AI conversation metrics their dashboards were never built to track.
Two metrics that look alike reveal different problems when you know where to look.
Platform differences in session definitions create incompatible conversion rates.
Breaking down AOV into units, price, and discounts reveals which team should fix what.