Map the message across the journey.
Record what a campaign tells people and what the store listing shows when they arrive. Check whether both describe the same supported task. A mismatch is a useful investigation even before you know its performance effect.
Use value proposition guidance. Consistency means preserving a coherent promise, not forcing every surface to use identical wording.
Keep arrival contexts visible.
Visitors arriving from an advertisement may have different information from people who discover the app through a query or browsing. Do not assume every source sees the same message or starts with the same intent.
Use source-context reporting and the actual reporting dimensions available. Avoid inventing a user-level journey from independent aggregate counts.
Coordinate changes and experiment scope.
If campaign creative, targeting and listing assets change together, the resulting movement concerns a combined environment. Record those changes and define what the evaluation can answer.
Use a shared timeline. A test plan should identify the delivered treatment, not assume that paid acquisition stayed constant when it did not.
Separate attribution from incrementality.
A source category describes how a system classifies an event. It does not necessarily reveal every influence on the person’s decision. An increase in a bucket called organic does not automatically prove ASO caused it.
Use organic measurement guidance. Keep reported acquisition and causal conclusions distinct, especially when wider marketing activity changes.
Review the product outcome together.
Where appropriate evidence is available, inspect whether acquired users reach the intended product value. More installs can be a partial answer if the message attracts people the product does not serve.
Use shared KPI definitions and a decision-focused report. Let the evidence guide the next change to the message, audience or product.
