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.

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?

Oct 22, 2024 · A/B testing also known as bucket testing or split testing is a method in which you take a look at two unique variations of a website or app to see which one gets higher results. For instance, you would possibly check distinct email subject strains to …

Oct 4, 2024 · What Precisely Is A/B Testing? 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. To accomplish this, distribute one version to one group and the other to a separate group.

A/B testing, also known as split testing, helps businesses test and compare two versions of content—such as a webpage, email, or app feature—to see which one performs better. In this article, we’ll explain how the process works, strategies for effective testing, and best practices for achieving reliable results.

Dec 13, 2022 · Also called split testing or bucket testing, you can use A/B tests for emails, web pages, product designs, apps, and more. A/B testing is a conversion rate optimization (CRO) technique that businesses use to boost conversions. After analytics, A/B testing is the second most-used tool for CRO.

Dec 13, 2022 · Preparing for Your GA4 Implementation.

What is A/B Testing? An A/B test aims to compare the performance of two items or variations against one another. In product management, A/B tests are often used to identify the best-performing option.

Feb 18, 2025 · A/B testing is also called split testing. The idea is to segment the audience (users, customers) into two groups and present each group with a distinct version of a product or feature. The objective is to analyze which version yields a more favorable result according to …

Aug 23, 2021 · Put simply, it means comparing two versions of a product to see which one performs better. A/B testing is also called "split testing" or "bucket testing," as in, "putting things into two different buckets." And it can be really useful in refining your design. Why Use It?