App Rating Simulator & Stress Test

See what it takes to move your app rating

Fetch your app's current rating, choose a displayed rating target, and see how many future ratings you need.

Step 1: Fetch your app

Paste an app URL or app ID

Inputs are used only for this calculation and are not stored.

Want to simulate a bad update, PR issue, store bug, or review-prompt failure? Jump to Stress Test.

Calculate rating goal Run stress test

Step 2: Set your rating goal

Your rating scenario

We filled this from the store. Change only what you want to test.

Start here: choose your goal

Target displayed rating Choose the rating you want users to see in the store. Expected average of future ratings Test different future rating scenarios, such as 4.3, 4.5, or 4.8.

Store data

This was filled from the store. Change it only if you want to override the fetched data.

Platform Choose the store model to use. Current rating count Auto-filled from the store. Google Play math uses the effective base below. Current exact average The real average used for the math, not the rounded store display.

Google Play weighting estimate

Google Play does not use a simple lifetime average. We estimate the active rating base from recent rating pace. Edit this only if you know your recent ratings per day.

Recent ratings per day Use your real recent 60-day rating pace if available. Effective rating base Recent ratings per day × 60. Used instead of lifetime ratings for Google Play.

Step 3: See what it takes

Result

Store ratings round to one decimal. To display 4.5, your exact rating must reach at least 4.4500.

Main result -

Assuming future ratings average 4.5.

Sensitivity

Exact threshold -

Minimum exact rating required to display the target rating

Projected exact average -

Projected displayed rating -

Projected rating over time

Rating pace is estimated. You can edit it.

Ratings per day Time unit

Sensitivity

Rating Stress Test

Use this to simulate a bad update, PR issue, store bug, or review-prompt failure.

Start here: crisis impact

Number of low ratings How many low ratings hit during the crisis. Average rating during crisis The average rating during the negative period.

Timing assumptions

Crisis length, in days How long the low-rating period lasts. Recovery ratings per day New ratings expected per day during recovery.

Recovery assumption

Average rating during recovery The average rating expected after the issue is fixed.

Exact rating after crisis -

Displayed rating after crisis -

Exact rating drop -

Ratings to recover displayed rating -

Ratings to recover exact rating -

Time to recover displayed rating -

Time to recover exact rating -

App Rating Simulator & Stress Test

Paste an app URL or app ID

Your rating scenario

Start here: choose your goal

Store data

Result

Sensitivity

Projected rating over time

Rating Stress Test

Start here: crisis impact

Timing assumptions

Recovery assumption

Rating drops fast. Recovery takes longer.