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A/B testing campaigns for promotions

A/B testing campaigns for promotions

Last updated: 29-Feb-2024
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Set up A/B testing campaigns for your promotions to identify what type of discount is more efficient.

Requirements & limitations

  1. You can test up to five promotions in one experiment.
  2. You can only select pairs of promotions that have at least one common product.
  3. Promotions applied through the COUPON parameter directly into the URL are not taken into account in the A/B test. "Auto-apply" promotions, however, are taken into account. Nonetheless, promotions with the “Auto-apply” function will not appear in the A/B testing available promotions drop-down.
  4. Only regular promotions are available for use in A/B testing campaigns.


When the shopper places the order, the test is considered successful regardless of the order or payment status.


  1. Go to the Promotions page and define the promotions that you want to test. Choose between percentage-based discounts and fixed discounts.
  2. Navigate to the A/B Testing page and click the Campaigns tab.
  3. Scroll until you find the Promotions section and click Edit Campaign on an inactive campaign.
  4. Fill in the details of the new campaign, such as the campaign name, maximum number of tests and the date when the campaign should end.
  5. Create a new scenario by selecting a promotion from the drop-down menu and assigning the percentage of traffic you want to go through it. You can choose between existing promotions and assign them as A/B testing campaign variants. You can also test specific promotions against using no promotion at all by checking the No promotion option.
  6. Click Add Scenario.
  7. Repeat steps 5 and 6 until you have used the entire available traffic.
  8. Click Save campaign.
  9. Go back to the Campaigns tab and click the Start Campaign button when you want the campaign to begin.

Where can I see what promotions are used in my A/B tests?

When you open a promotion's configuration page, a notification informs you if the promotion is being used in an A/B test at that moment.

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