AB testing can be referred to as a randomized experiment that compares two versions of a web page or app to determine which one performs better.
Imagine you have a cake recipe and you’re not sure if you should use butter or oil. So, you make two cakes—one with butter and one with oil—and give them to different groups of people to taste. By comparing their reactions, you can determine which version tastes better.
A/B testing works the same way but with digital campaigns like web pages, apps, online ads, etc. You create two versions, show them to different users, and see which version gets better results. It helps you make data-driven decisions and improve your product based on what people prefer.