Conversion
A/B Testing
A/B testing is the process of comparing two versions of a webpage, email, or ad to determine which performs better. It uses controlled experiments with randomized audiences to make data-driven decisions.
Examples
An ecommerce store tests two different headline variations on its product page to see which generates more purchases.
Best Practices
Test only one variable at a time and run the experiment until you reach statistical significance before declaring a winner.