Split Testing

Split Testing, also known as A/B Testing, is a method of comparing two or more versions of a product or feature to determine which one performs better. Users are randomly assigned to different variants, and metrics like click-through rates, conversions, or engagement are measured to assess the effectiveness of each version. Split testing allows designers and marketers to make data-driven decisions and optimize user experiences based on real user behavior.