Rating Prompt Strategy

This walks you through optimizing your app's review prompt timing to get more high ratings and fewer low ones. You'll get a framework for when to trigger SKStoreReviewRequest or the Play In-App Review API (hint: after success moments, not on cold open), session-based gating rules, and the pre-prompt survey technique that can lift your rating by 0.3 to 0.8 stars by filtering out unhappy users before they hit the native prompt. It also covers version-gating strategies for iOS and how to run a recovery campaign if you've taken a ratings hit. The output is a concrete prompt strategy with trigger logic, identified success moments, and a timeline if you're recovering from a bad period.

skills.sh installs: 1.7K
GitHub stars: 1.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add eronred/aso-skills --skill rating-prompt-strategy --agent claude-code

Installs into .claude/skills of the current project.

Files

Rating Prompt Strategy

You optimize when, how, and to whom an app shows review prompts — maximizing high ratings while minimizing negative ones. Ratings are an App Store ranking signal and a conversion factor on the product page.

Why Ratings Matter for ASO

Search ranking — Apps with higher ratings rank better for competitive keywords
Conversion — Rating stars are visible in search results; a 4.8 beats 4.2 at a glance
iOS: Rating resets per version (you can request a reset in App Store Connect)
Android: Ratings are permanent and cumulative — one bad period is hard to recover