
For mobile apps, installing is only the beginning: most users abandon the app within days. Advertising well requires optimising for activation, retention and value, looking after the first experience and measuring by cohorts, not by installs.
The essentials in a definition
In ads for mobile apps, installing is not the same as retaining: many users install and never return. Measure activation, retention and value, not just installs. Measurement on iOS depends on SKAdNetwork and App Tracking Transparency, which limit individual data, and in-app events let you track behaviour.
The retention challenge
Many users install and never return. Acquisition cost is wasted if the app does not deliver value quickly. Retention at day 1, 7 and 30 shows the quality of users and experience. Without retention, growth is a leaky bucket.
Before increasing acquisition, improve retention.
First experience
Onboarding should take the user to first value in a short time: ask only for the essentials, explain the benefit, personalise. Ask for permissions (notifications, location) at the right moment and with an explanation. Reactivation messages (notifications, email) useful and not intrusive, respecting consent.
The first use decides the second.

Ads for mobile apps: installing is not retaining
- Measure retention by cohort
- Look after onboarding and first value
- Optimise for value events
- Reactivate inactive users
Ads and measurement
Optimise for value events (completed sign-up, first purchase, subscription) instead of installs. Set up in-app event measurement and communication with the platforms, considering operating-system privacy limitations. Segment by source, creative and audience to see which bring users who stay.
Honest creatives attract more suitable users.

An app that does not retain fills the bucket while it leaks.
Scaling sensibly
Analyse value over time by cohort and channel, and the payback period. Reinforce sources with the highest retention. Reactivate inactive users with remarketing campaigns. Keep the app store listing cared for: reviews, screenshots and descriptions. Update regularly.
Healthy growth balances acquisition and retention.
Decision table
| Indicator | What it shows | Caution |
|---|---|---|
| Installs | Initial interest | Do not guarantee use |
| Activation | Reaching first value | Define the key action |
| Retention | Returning and continuing to use | Measure by cohort |
| Value | Revenue or value action per user | Long measurement window |
Common mistakes to avoid
- Optimising only for installs. It attracts low-quality users.
- Ignoring the first experience. Many abandon on first use.
- Measuring without cohorts. Behaviours from different periods get mixed.
How to measure the result
Track cost per install, activation, 7- and 30-day retention and value per user, by channel.
Limits and exceptions
Mobile platforms’ privacy rules change and limit data. Results vary by category and market. Validate with tests before scaling.
Illustrative example
Illustrative example: a fitness app starts optimising for those who complete the first workout, improves the start of the experience and measures 7- and 30-day retention by channel. Channels with the most installs are not always those that retain most; it adjusts budget accordingly.
In practice: checkpoints
Create cohorts by channel and creative and compare retention at day 1, 7 and 30, as well as the value generated. Concentrate budget on the sources that retain, and cut those that bring installs that do not return. Improve first use: reduce steps, explain value in seconds and ask for permissions only when they make sense. Test the app store page as a landing page: screenshots, description and ratings. Reply to negative reviews, fix technical faults and communicate improvements. Combine app data with the database to calculate value over time, and review results every month. Check that tracking works on both operating systems, record the limitations of iOS reporting so that nobody over-interprets figures, and plan tests that do not rely on individual-level data, such as comparing regions or periods, to confirm that the channels you favour really bring users who stay and pay.
Frequently asked questions
What retention is good?
It depends on the type of app. Compare with your category and improve over time.
Should I optimise for installs?
Prefer value events when there are data.
How do I reactivate users?
With useful messages and remarketing campaigns, with consent.
Which event is best to optimise?
The closest to value with enough volume.
How do I handle the limitation on iOS?
With aggregated metrics, cohorts and tests, interpreting with caution.
In apps, optimise for activation and retention, measure by cohort and channel, and interpret limited iOS measurement with caution.
Sources and recommended reading
- Apple: SKAdNetwork
- Apple: user privacy and data use on the App Store
- Analytics Help: GA4 recommended events
Last editorial review: October 2026. Informational content; always confirm current conditions in the official sources before deciding.