Glossary entry

A/B testing: data-driven optimisation for maximum performance

A/B testing is a method in the field of marketing, product & web development and data analysis in which two variants (A and B) of an element - e.g. a website, an email, an interface or an advert - are compared with each other. The aim is to use real user data to find out which variant delivers better results. The target group is randomly divided into two groups, each of which sees one of the variants. Key figures such as click rate, conversion rate or dwell time are then analysed in order to make data-based decisions for optimisation.

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