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With A/B Testing you can split traffic randomly into different groups and show each group variations of a message. This is done by creating multiple experiences, then assigning each a percentage of traffic.

What is an A/B Test?

A/B testing, in it's true definition, is a form of statistical hypothesis testing with two variants: test and control. Within Evergage, we use A/B testing to more broadly define any campaign that uses a randomized split in the traffic to test a hypothesis. There are several things you should understand before creating an A/B test:

  • When creating an Evergage campaign, you can create multiple experiences which are shown to a set percentage of traffic as determined by your needs
  • As a best practice for an unbiased, statistically sound test, create messages as variations of each other. For example, testing a popup against an inline message is not a true measure of effectiveness as both invoke different behaviors for the users and cannot be compared. A better example of an A/B test would be a campaign that tests which exit popup discount code is more effective

For a better understanding of how you can design a campaign such that the results are statistically sound and do not contain any biases, please contact your Customer Success representative for guidance.


Create an A/B Test

  1. Create or Edit a Campaign
  2. Create the necessary experiences and messages
  3. Click 
  5. Test Mode is set to A/B by default
  6. Use the sliders or enter a percentage for each experience 


    Changing the percentage of traffic on one experience adjusts percentage(s) on the remaining experience(s) to total 100%. If you adjust user percentages after publishing your campaign, visitors who saw the campaign prior to the change will continue to see the experience (or control) they saw first.
  7. If needed, set the Control percentage of viewers who will see the original page experience
  8. Click SAVE or SAVE & CLOSE

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