Businesses use A/B Testing, a technique, to determine which variant of a webpage or element performs best among two options. In this procedure, businesses create two variants, A and B, with a single distinguishing element, such as a caption, call-to-action icon, or layout. Analysts present the two versions to visitors at random and then analyze their interactions. By measuring critical metrics like click-through rates, conversions, and engagement, businesses identify the best-performing version. A/B Testing allows data-driven decisions, optimizing websites and marketing for better user experience and performance.
