What type of testing allows organizations to see how variations of page elements perform?

A/B testing is a method used to compare two or more variations of a web page or app to determine which version performs better in achieving a specific goal, such as conversion rates, user engagement, or any measurable outcome. In this testing approach, different groups of users are shown different versions of the page elements, allowing organizations to gather quantitative data on how each variation performs against established metrics.

This method is especially valuable because it provides clear, statistically significant results based on real user interactions. Organizations can use A/B testing to make informed decisions about design and content changes, optimizing their digital experiences based on evidence rather than assumptions. For example, by changing a call-to-action button's color or positioning and tracking user responses, businesses can identify the version that leads to higher engagement or sales.

The other testing types mentioned do not focus on comparing variations of page elements in the same targeted way that A/B testing does. Regression testing primarily ensures that existing functionalities work as intended after new changes are made. Unit testing focuses on individual components of code to confirm they function correctly. System testing evaluates the entire system as a whole to ensure it meets specified requirements. Each of these has its purpose but does not directly assess the performance of varying elements like A/B testing does.