Start with the question you need answered.
A launch review asks whether the listing communicates a credible reason to install. A ranking decline needs a timeline of metadata, releases, competitors and acquisition changes. A conversion problem needs visitor context. The same checklist cannot answer all three without understanding what happened.
Send the store links, priority market, current concern and any known changes. I use that context to agree the depth of the audit and the evidence required.
What I examine.
The review connects positioning, search intent, metadata, screenshot sequence, claims, ratings themes and available acquisition data. I compare the listing with relevant alternatives, looking for differences in the promise and user journey rather than copying whatever competitors do. A popular competitor can still have a poor listing.
If the issue is already isolated, keyword research or screenshot strategy may be a better starting point than a broad review.
Evidence, inference and open questions.
Every important finding should say what was observed, why it may matter, and what remains uncertain. Public listing reviews can identify unclear copy or conflicting messages. They cannot reveal your actual acquisition funnel or establish that one screenshot caused a conversion decline.
An audit based on public material is labelled accordingly. Where agreed, account reports or exports add context. Passwords are never needed in the enquiry form.
A prioritised output, not a pile of opinions.
The deliverable groups actions by importance, confidence, effort and dependencies. An inaccurate promise can need immediate correction. A plausible but untested creative idea belongs in the testing backlog. A low-confidence recommendation should not be disguised as a guaranteed growth lever.
You receive a walkthrough, the rationale for the priorities, and a practical handoff. The next step may be an implementation project, internal work, or further investigation.
An example of a decision-ready finding.
Illustrative finding: the title promises a beginner running plan, but the first screenshots show advanced performance charts. Recommendation: test an opening sequence that demonstrates how a beginner starts the first week. Evidence needed: visitor mix, current listing conversion and a suitable test setup.
The finding connects a mismatch to an action and a way to learn. It does not invent an uplift. Read the working process for how findings become a plan.