What is A/B Testing?

A/B testing, also known as split testing, refers to a randomized experimentation process wherein two or more versions of a variable (web page, page element, etc.) are shown to different segments of website visitors at the same time to determine which version leaves the maximum impact and drive business metrics.

A/B testing is a method of comparing two versions of a webpage or app interface, to determine which one performs better. It is also known as split testing. The goal of A/B testing is to increase conversions, engagement or other metrics that are important to the business. A/B testing is done by randomly dividing website visitors or app users into two groups: the control group, which sees the original version (A), and the variation group, which sees the new version (B). The performance of the two versions is then measured and compared, with the goal of identifying the version that performs better. A/B testing can be used to test various elements of a website or app, such as headlines, call-to-action buttons, images, and more.

A/B testing, additionally acknowledged as cut up testing, refers to a randomized experimentation procedure whereby two or greater variations of a variable (web page, page element, etc.) are proven to specific segments of internet site visitors at the identical time to decide which model leaves the most have an impact on and pressure commercial enterprise metrics.

Simply put, it’s a comparative test.