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How to conduct A/B Testing

A/B tests, A/B testing, split tests, split testing, pages, sales funnels, conversions, compare, performance, results, winner, winning page

Eduardo Stewart avatar
Written by Eduardo Stewart
Updated this week

A/B Testing: A Powerful Marketing Strategy

A/B testing is a powerful marketing strategy that compares two or more versions of a page to determine which one performs best, based on a specific conversion metric (e.g., registrations, sales, or page visits). The version with the highest conversion rate is automatically declared the winner.

Note: Once a winning page is established, all traffic will be redirected to that page, and the others will no longer be accessible. The system will automatically redirect all visitors to the winning page, as long as the A/B test remains active. To restore access to the other versions, you must disable the A/B test.

How to Create an A/B Test

Option 1: Use the A/B Testing Tool

Navigate to Marketing A/B Tests using the side navigation menu.

Select your test type:

  • Squeeze Page Registrations – Compare at least two opt-in pages.

  • Number of Sales – Compare at least two order pages with payment forms.

  • Page Visits – Compare page redirections to measure which path attracts more traffic.

You can configure the test with the following parameters:

  • Minimum visits per page before one can be set as the winner (e.g., 100 visits).

  • Minimum conversion rate required to qualify a page as a potential winner (e.g., 20%).

  • Statistical confidence level (e.g., 90%) to ensure results are reliable and not due to chance. This parameter determines how sure the system must be before declaring a page as the winner. It represents the probability that the difference in conversion rates between pages is real and not due to random chance.

    For example, if you set the confidence level to 90%, the system must be at least 90% certain that the better-performing page is not winning by accident. A higher confidence level makes the result more reliable but may require more data (visits and conversions) to reach a conclusion.

    In simple terms: the higher the statistical confidence, the more trustworthy the result — but it might take longer to set a winner.

Advanced settings also allow for automatic winner selection based on a significant performance gap.

Option 2: Create an A/B Test from a Sales Funnel

Within your sales funnel:

  1. Select Run A/B Test for a sales funnel page (from the funnel page options)

  2. Choose to compare the page with either:

    • A duplicated version (which you can edit), or

    • A completely different page.

To edit an existing test, click on Edit A/B Test from the funnel page options.

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