What Is A/B Testing?

A/B testing is randomized testing that allows a company to compare two variables, A and B. Using statistical analysis, a company can compare results through hypothesis testing. This allows companies to optimize their site or product by determining which variable performs the best in terms of engagement and conversion. This type of testing can give you answers to the most focused questions, which allows you to make specific changes to meet your goals, whether they involve sales leads, conversion, or visitor behavior.

In Data Defined, we make the complex world of data more accessible by breaking down all aspects of the field.

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