Step 4: Start the A/B test and review the test results in the Firebase console
| Introduction: Optimize AdMob ad frequency using Firebase |
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| Step 1: Use AdMob to create new ad unit variants for testing |
| Step 2: Set up an A/B test in the Firebase console |
| Step 3: Handle Remote Config parameter values in your app's code |
Step 4: Start the A/B test and review the test results in the Firebase console |
| Step 5: Decide whether to roll out the new ad format |
Now that you have everything set up, you're ready to start and run your A/B test. While the test is running, you can review results in the Firebase console.
Deploy your app and start the test
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After you add the logic to handle the Remote Config parameter value (previous step), deploy the latest builds of your app that include them.
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In the Firebase console, start the A/B test by clicking Start Experiment.
Review results
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Firebase A/B Testing will run your experiment. After it's exposed users to the different variants, the Firebase console will display an improvement suggestion.
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Review how each variant performed based on the metrics that you selected during test setup.
Firebase A/B Testing makes its judgement based on the primary metric that you selected, but A/B Testing also provides you with data for all the other secondary metrics that you selected. This allows you to take into account these secondary metrics when making a final judgement about the performance of a variant.
The image below shows an example of a test run with four variants, including the baseline (note that in this tutorial we kept it more simple with only three variants). In this example below, A/B Testing has determined that the winning variant is Variant A due to the improvements in the primary metric of Estimated total revenue .
Firebase console UI showing example A/B test results"
class="screenshot">Step 3 : Handle Remote Config parameter values Step 5 : Decide whether to roll out the new ad format
