rating-prompt-strategy

To increase app ratings, trigger review prompts at success moments like after a purchase or delivery. Using in-app review APIs at peak satisfaction avoids asking users too early or after frustrating experiences, directly boosting star ratings and review volume.

The best approach for iOS SKStoreReviewRequest and Android In-App Review API is applying native platform behavior correctly. You must respect frequency limits and throttling rules while using session and install-age eligibility to filter who sees the prompt.

Filter unhappy users before an in-app review prompt by adding a quick yes/no pre-prompt question. Route dissatisfied users to an internal feedback flow instead of the native review API, reducing damage from low ratings and recovering negative sentiment.

You can recover app ratings after a drop by using reply-based recovery and targeted campaigns after product fixes. Implementing pre-prompt filtering ensures only satisfied users reach the review flow, slowly rebuilding your overall star rating.

Avoid showing app review prompts during checkout failures, frustrating flows, or before establishing session and install-age eligibility. Asking users too early or after a negative experience leads to low ratings and wastes native API frequency limits.

This review prompt strategy works for both iOS and Android apps. It provides platform-specific guidance for native review APIs, including frequency limits, throttling realities, and fallback paths for both operating systems.