A/B Testing
Definition
A/B testing is a method of comparing two versions of something to determine which performs better.
This process involves presenting two variations, labeled 'A' and 'B', to different segments of an audience simultaneously. The goal is to observe how each variation impacts a specific outcome, such as user engagement, conversion rates, or click-through rates. By measuring the results for each group, one can statistically analyze which version achieved the desired objective more effectively.
For example, a website designer might test two different button colors to see which one leads to more clicks.
A/B testing is frequently employed in fields such as digital marketing, web design, software development, and user experience research to optimize various aspects of products and services.