A/B testing is a way to compare multiple versions of a single variable, for example by testing a subject's response to variant A against variant B, and determining which of the variants is more effective.

Jul 22, 2024 · A/B testing, also referred to as split testing or bucket testing, is the process of comparing two versions of the same web page, email, or other digital asset to determine which one performs better based on user behavior.

May 12, 2016 · A/B testing, also known as split testing, is a marketing experiment wherein you split your audience to test variations on a campaign and determine which performs better. In other words, you can show version A of a piece of marketing content to one half of your audience and version B to another.

Dec 15, 2016 · What Is an A/B test? In statistical terms, A/B testing is a method of two-sample hypothesis testing. This means comparing the outcomes of two different choices (A and B) by running a controlled mini-experiment. This method is also sometimes referred to as split testing. What Is A/B Testing Used For?

A/B testing (also known as split testing or bucket testing) is a methodology for comparing two versions of a webpage or app against each other to determine which one performs better.

Apr 12, 2024 · Split testing (also known as A/B testing and multivariate testing) is an experimental method for improving website metrics (such as clicks or conversions) that involves publishing slightly different versions of a page and presenting each version to different visitors to see which performs better.

A/B testing (also called split testing) is comparing two versions of a web page to figure out the better performing variation. Learn more with examples.