Monitor the performance of an App Uplift experiment

After you set up an App Uplift experiment, you can monitor its performance in Google Ads and find if adding video assets improve your App campaign performance. Based on the experiment results, you can make an informed decision on creatives and their development.

This article explains how to monitor and understand the performance of an App Uplift experiment.



Note: The instructions below are part of the new design for the Google Ads user experience. To use the previous design, click the "Appearance" icon, and select Use previous design. If you're using the previous version of Google Ads, review the Quick reference map or use the Search bar in the top navigation panel of Google Ads to find the page you’re searching for.

View your app asset experiment’s performance

  1. In your Google Ads account, click the Campaigns icon Campaigns Icon.
  2. Click the Campaigns drop down in the section menu.
  3. Click Experiments.
  4. Click Experiments from the “Experiments” menu.
  5. Find and click the app experiment that you want to check performance for.
  6. Now, the “App asset experiment summary” table and a scorecard is displayed.
  7. You can choose to either “Apply experiment” or “End experiment”.

What the scorecard shows

App asset comparison shows the dates for which your App asset experiment's performance is being compared to the original campaign's performance. Only full days that fall between your App asset experiment's start and end dates and the date range you've selected for the table below will show. If there is no overlap, the full days between your App asset experiment's start and end dates will be used for "Performance comparison".

By default, you’ll have performance data for “Clicks”, “CTR”, “Impressions”, “Cost”, and “All conversions”, but you can select the performance metrics that you want to view by clicking the down arrow next to the metric name. You’ll be able to choose from the following:


Interpreting your results

  1. We recommend excluding the first 5 to 10 days of the experiment from the results (using the date selector) to avoid having the campaign learning period influence the metrics.
  2. You have the option to monitor experiment results using the 3 confidence levels (80%, 85%, 95%).
  3. If you added multiple video assets in the trial campaign, you can view the performance of an individual video asset in Google Ads reporting.



  1. Make faster decisions: If your experiment reaches a statistically significant result before the experiment ends, you can end the experiment early.
  2. Pick the winner with directional results: If you added multiple video assets in a trial campaign, you can pick the best performing video asset using Google Ads reporting if you are comfortable with directional results.
  3. Take action on your results: If your experiment results are statistically significant or directionally positive, you can promote the video assets in your trial campaign to your base campaign to maximize performance.
  4. Scale the learning and impact: If you find out that adding certain video assets improve your App campaign performance through experiments, consider promoting these assets to the rest of your relevant App campaigns, and use this to inform the development of future video assets.
  5. Investigate inconclusive results: If there are issues preventing the tested video assets from getting enough traffic (for example, budget limited flagged during experiment creation), consider fixing those issues and experiment again.


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