A/B testing (also known as bucket testing, split-run testing or split testing) is a user-experience research method. [1] A/B tests consist of a randomized experiment that usually involves two …

Jul 23, 2025 · A/B testing or split testing, in a nutshell, is a means to compare two iterations of an email, website, or other marketing asset and assess the performance differences between them.

Sep 22, 2025 · A/B testing is an experiment in which marketers split their audience and create multiple versions of a particular variable in a campaign to test the effectiveness of that variable …

May 6, 2025 · A/B testing can be defined as a controlled experiment in which two versions of a variable, algorithm, or system, are compared against each other. The goal is quite simple: to …

Mar 7, 2025 · What is A/B testing? A/B testing is the process of comparing two versions of a website or campaign to see which one appeals more to visitors. It helps brands choose the …

Aug 13, 2025 · A/B testing (also called split testing) is a method of comparing two+ versions of a webpage, app feature, or marketing element to determine which performs better.

Sep 18, 2025 · A/B testing is a simple method to compare two versions of a web page, ad, or feature to see which performs better. It helps you make smarter decisions based on data, not …

What is A/B testing? A/B testing is a simple yet powerful technique for comparing two product versions, feature, or page versions to see which works better for your users.

Learn the basics of A/B testing in this beginner-friendly guide. Discover what A/B testing is, how it works, what to test, and best practices to optimize your digital campaigns effectively.

A/B testing, also called split testing, is a process that compares two versions of something, such as a web page, email, or product feature, in order to determine which, one performs better.