A/B testing is a methodology used in marketing and user experience research to compare two versions of a webpage, advertisement, or campaign in order to determine which one performs better. The objective is to understand which variation produces higher conversion rates, more clicks, or better user engagement. The process involves randomly dividing a target audience into two groups, exposing each group to a different version, and tracking their behavior and responses. The results obtained from A/B testing help businesses optimize their marketing strategies, improve customer experiences, and make data-driven decisions to drive better performance.
This mind map was published on 9 October 2023 and has been viewed 134 times.