What’s A/B testing?

[John - Smith]

What's A/B testing and why A/B testing used?

I think you read this while creating FB campaign right?

[georgebell]

In web analytics, A/B testing is a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics.

[pitterjhon44]

A/B testing is the act of running a simultaneous experiment between two or more pages to see which performs or converts the best. Despite the name (A/B testing), the experiment can be conducted with as many pages as desired.

[riyaa_rp]

What's A/B testing and why A/B testing used?

A/B testing is a randomized experiment with two variants, A and B. It includes the application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics.

[Ravina123]

A/B testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.

[Lishmalinyjames]

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.) ... Essentially, A/B testing eliminates all the guesswork out of website optimization and enables experience optimizers to make data-backed decisions.

[makoo]

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
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[Ravina123]

A/B testing (also known as split testing) is the process of comparing two versions of a web page, email, or other marketing asset and measuring the difference in performance. You do this giving one version to one group and the other version to another group.

[Gasntools]

What Is A/B Testing? A/B testing (which is also referred to as split testing) involves changing one or more elements of a page, and comparing how the original page and test page variant perform when shown to different segments of an audience.

[makoo]

A/B testing is a method to test multiple versions of a webpage to see which version is more effective in terms of getting the user's goal accomplished. To understand A/B testing, you need to understand its two core principles, known as the statistical significance and the practical significance. The statistical significance shows whether different versions are effective in general and you should take action. Practical significance shows how big an impact each page variation has and if it deserves further improvements.