What’s your best ad frequency?
What’s your most efficient waterfall configuration
Which ad networks should you deactivate?
Learn what works best with your users, and scale your mobile apps & games.
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Control the Impact of Updates in Your Monetization

Use our A/B testing templates, evaluate new hypotheses, or experiment using your own metrics.
Take control and A/B test anything of your monetization strategy.
You can even forecast the impact of your monetization on your player’s behavior, your UA campaigns, and other areas of your business.
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Boost Your Revenues: the Data-driven Way!

Create New Segments
Determining the Test Segment

Create new segments

Assign a name to each segment. It will be displayed on the list of segments and will appear in the impression statistics for this particular segment. Apply the “Part of audience” filter according to your breakdown.
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Determining the Test Segment

Once the test segment has been created, it has to be set up depending on what parameter you are planning to test. The parameters include grouping users by device type, app version, average session length, OS version, in-app purchases, purchasing a certain number of built-in apps, launching the app several times, currently online etc.
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Why A/B Test your Monetization?

Every Mobile App is Different, and Players Interact With You in a Unique Way

Appodeal A/B testing features allow you to find your customers' ideal ad monetization strategy.
Ensure you’re always delivering the best user experience & avoid doing changes that can cause a major income loss.
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Smart Questions Generate Great Results!

When you should not spend time on A/B test? Only when you have clear signs that what you’re about to change will not cause any impact. Always start testing hypotheses where you expect major changes in your tested metrics.
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How different frequency of full-screen ad impressions affects app economics
How different banner refresh rates affect ARPU and retention
The impact of high CPI networks on user retention and monetization
Other waterfall and ad network configurations and their impact on ARPU

Trustworthy Results

Appodeal allows you to create as many user segments and cohorts on an A/B test as you want.

A/A/B Testing

Working with 2 control groups provides more accurate results and avoids random results caused by extreme disparities in your data.
* Avoid using too many cohorts, as it will take more time to set up & analyze the data.
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Assess the Results!

Use the Reports tool from your Appodeal Growth Platform to verify the A/B Testing results of your monetization.
Take smarter decisions by crossing your data with other key data points & metrics.
* Ideally, when an A/B test delivers a revenue increase of +10%, it is considered successful.
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Learn how A/B Test your monetization strategy from your Appodeal Dashboard.
Experiment with new Ad Setups, analyze the reports, and scale your mobile apps & games!

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