A/B testing
Developed for simplicity
A/B testing, also known as split testing, is a method used to compare two or more versions of a webpage.
The goal of A/B testing is to determine which version performs better among a sample audience. Typically, the two versions (A and B) are identical except for one variation that might affect a user's behaviour.
By randomly presenting one of the versions to each user and measuring key metrics such as click-through rates, conversion rates, or engagement, businesses can make data-driven decisions to optimize their content and improve overall performance.
No additional theme templates required
You can test new versions of your sections without having to write a single line of code. Simply select two or more variations in any section, across any of your templates and A/B testing instantly enabled.
Metrics
In the “Analytics” tab within a recipe, you’ll find Impression, engagement, CVR and AOV metrics for your split tests, organized by date range.
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