A/B-test your publications

Prepr A/B tests give you the power to perform A/B tests with your content in an easy-to-implement way. By A/B-testing your content frequently, you increase CTR and time spent. Zoom in on retrieved metrics and learn what content works best – or improve the content that needs tweaking.

An A/B test is a randomized experiment using two variants of the same publication (A and B). Variant A is the original and variant B through n each contains at least one element that is modified from the original. Before you can start testing, you need to create at least one B version of a publication.

Enabling A/B-testing

Implementation of A/B testing needs a configuration of your website or app as well. Learn more on how to implement A/B-testing on your own frontend. To enable A/B-testing in Prepr, go to Settings > Publish > Publication models. Activate the A/B-testing toggle. Now you are ready to go!

Start an A/B test

To start A/B-testing, simply click the 'A/B test' toggle in a publication. The current publication will be version A, visible with the version A-label prefixed on the publication title.

After the A/B test toggle is opened, you can make a second version of the publication, version B. Now change some elements, like the title or cover image, and save the publication. Approximately 50% of your website or app visitors will see version A, the other 50% the B-version.

Test result insights

Prepr gives an insight into the A/B test results in the sidebar of the publication view. Open the sidebar to see more information about the underlying numbers. In the sidebar, you will find the number of exposes of both versions, the number of views, and the click-through rate.
A calculation based on the amount of 'expose events' and 'view events' will result in a verdict about the test. The B version has to have a 95% probability to beat the baseline for the result to be significant. You need more test results to achieve higher reliability.

Close the A/B test

If the test is significant you can choose to continue with the version that had the best results. Switch off the A/B testing option and check the test results in the popup. Choose the version you want to continue with and close the test.

The version you have chosen will remain, the other version will be deleted. A/B test results do not persist. So, when you start a new A/B test with the same publication, your publication starts with 0 exposes and 0 views. Any engagement score will remain.