การกำหนดเวลาขอรีวิวในแอปเพื่อคะแนนสูงสุด

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.

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.

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.

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

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.

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.

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.

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

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.

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.

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

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.