ConceptDiscovery layer

Adoption Attribution Split

Adoption Attribution Split is the practice of separating adoption gains caused by in-app guidance from gains caused by product changes, pricing shifts, or seasonality before an agency claims credit.

By InnovaAI ResearchPublished Updated

What is Adoption Attribution Split?

Guidance lift vs. product lift → who gets credit

Guidance-attributable lift vs. product-attributable lift, plotted per feature

Adoption Attribution Split is the practice of separating adoption gains caused by in-app guidance from gains caused by product changes, pricing shifts, or seasonality before an agency claims credit. It matters because in-app assistants sit on top of the client's product, so every tour, checklist, or tooltip competes with roadmap work for the same metric. Without a split, agencies either overclaim (and lose trust at the first flat month) or underclaim (and get treated as a tool reseller). The split is built from three inputs: a holdout cohort that never sees the guidance, event-level completion data from the assistant, and a baseline period before launch. Userflow's real product signals let teams trigger experiences at the right moment, which makes holdout design cleaner than time-based comparisons. Chameleon's AI agents monitor retention impact, giving a second read on whether lift persists past week two. Present the split as a one-page table in the retainer review, not a dashboard screenshot.

in-app-assistants