A/B split testing is a method used to compare two versions of a webpage to determine which one performs better. It involves creating two variations (A and B) of the same element and randomly dividing the audience into groups to see which version yields better results.
In A/B split testing, the two versions of the webpage (A and B) are typically identical except for one element that is being tested. This element could be a headline, button, layout, image, or any other element of the webpage. By measuring the performance metrics such as click-through rates, conversion rates, or engagement levels, the effectiveness of the different variations can be assessed, and the version that performs better can be identified.