A/B Testing in Justuno

The steps below will help explain how to set up an A/B test in Justuno

 


Step 1: Click on A/B testing from your dashboard.

Step 2: Hit New A/B test.

Step 3: Name the promotion and select desktop or mobile.

Step 4Select the dates you would like the AB test to run. We recommend to run a test at least two weeks, but a month will give you more data!

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Step 5: Select the A promotion to compare to the B promotions. You can select as many B promotions however only one A promotion. Please note, that our AB testing software does not currently test rules, the A promotions rules will override the B promotions rules.

Justuno now has the ability to test against a control group, which essentially means no promotion will be displayed, but the rules for the promotion trigger were matched and tracked the same as though a promotion from the testing group had shown.

Head here to check how the A/B reporting works.

 

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Step 6: Hit save and you will be all set! 

 

Troubleshooting Tips: If the promotions you would like to choose are grayed out that is because they have been used in another A/B test. Please archive the previous A/B tests with those promotions and you will then be able to re-use them!

 

 


Blog Articles: Our blog has some great reference material for A/B testing

Mastering A/B Testing: When to Run an A/B Test

Optimizing Website Pop Ups with A/B Tests: Do Images Increase Conversion Rates?

[Quick Video] Optimizing Email Pop Ups with A/B Tests: One Step Opt-In vs. Two Step Opt-In

 

 

 


Tags: AB test, AB testing

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2 Comments

  • 0
    Avatar
    Rade Radovanović

    So it is impossible to do a/b testing for the same design of e-mail opt-in pop-up but with different rules? You suggest to run each rule separately for a month and then to compare?

  • 0
    Avatar
    Yuno

    Hi Rade, 

    If you would like to test rules the only option at this time would be to create two different promotions, both using the same design and discount, and adding in two different rules. After which, you could compare the data. This however still wouldn't be a true AB test as it would not be targeting 50/50 of the same customers! 

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