0Pricing
ASO & App Growth · Lesson

Timing In-App Review Prompts for Maximum Ratings

Learn when and how to ask users for ratings so prompts feel natural, comply with platform rules, and maximize positive reviews.

Timing In-App Review Prompts for Maximum Ratings is a free ASO & App Growth lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the ASO & App Growth learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

Why Timing Beats Frequency

Asking for a review at the wrong moment annoys users and earns low ratings. The secret is timing the prompt to a moment of delight—right after the user experiences value.

This lesson covers when, how, and how often to ask.

Identifying Happy Moments

A happy moment is just after a user succeeds: completing a workout, finishing a level, hitting a savings goal.

  • The user feels positive.
  • They have just seen the app value.
  • They are most likely to leave a high rating.

Avoiding Bad Timing

Never prompt during friction:

  • Right after an error or crash.
  • During first launch before any value.
  • In the middle of a critical task.

Bad timing converts a neutral user into a 1-star reviewer.

Native Review APIs and Their Rules

Both platforms provide native in-app review APIs that show a standardized prompt without leaving the app.

Key platform rules:
- The system controls if/when it shows
- Limited displays per user per period
- Do NOT call it from a custom button
- Do NOT incentivize ratings

The Pre-Prompt Pattern

A smart pattern is a soft pre-prompt: first ask "Enjoying the app?" yourself. If yes, trigger the native review request; if no, route to a feedback form instead.

This sends happy users to the store and unhappy users to private feedback.

if user_taps_yes:
    requestNativeReview()   # store rating
else:
    openFeedbackForm()       # private, no public 1-star

Compliance: No Gating or Bribes

Platforms forbid incentivizing ratings or blocking app features behind a review. Offering rewards for reviews can get an app removed.

The pre-prompt above is allowed because it routes, not bribes—everyone can still rate.

Respecting Display Limits

The native APIs cap how often the prompt appears—you cannot force it on every session. Design your trigger logic to request rarely and at the best moment, and let the OS decide whether to show it.

Counting Engagement First

Only ask users who are engaged. A common rule: trigger after the user has had several quality sessions or completed a key action.

should_ask = (
    sessions >= 3 and
    completed_key_action and
    not already_rated
)

Personalizing by Behavior

Segment your prompts: power users who use the app daily are far more likely to leave 5 stars than someone who opened it once.

Target prompts at your most satisfied cohorts to lift the average rating.

Measuring Prompt Performance

Track prompt-to-rating conversion and the resulting star distribution. If timing is right, you should see mostly high ratings.

If ratings dip, revisit when you are triggering the prompt.

Putting It Together

A great review strategy: detect a happy moment, confirm engagement, optionally pre-prompt, then call the native API—rarely, fairly, and never with incentives.

Quick Check

Test your understanding of review prompt timing.

Recap: Timing Review Prompts

You learned to maximize ratings ethically:

  • Prompt at happy moments, never during friction.
  • Use native review APIs and respect their limits.
  • A soft pre-prompt routes feedback without gating or bribing.
  • Target engaged users and measure prompt performance.

Frequently asked questions

Is the “Timing In-App Review Prompts for Maximum Ratings” lesson free?

Yes — the full text of “Timing In-App Review Prompts for Maximum Ratings” is free to read here on the web, and the ASO & App Growth course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the ASO & App Growth course, upgrade to CoddyKit PRO.

What will I learn in “Timing In-App Review Prompts for Maximum Ratings”?

Learn when and how to ask users for ratings so prompts feel natural, comply with platform rules, and maximize positive reviews. You practise ASO & App Growth with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start ASO & App Growth?

No prior experience is required. ASO & App Growth on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Timing In-App Review Prompts for Maximum Ratings” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this ASO & App Growth lesson?

Yes. Every ASO & App Growth lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. The Impact of Ratings & Reviews on ASO
  2. Strategies for Earning Positive Reviews
  3. Responding to User Feedback & Backlinks
  4. Timing In-App Review Prompts for Maximum Ratings
← Back to ASO & App Growth