A/B Testing, also known as split testing, is a method used to compare two versions of a webpage or app against each other to determine which one performs better. It involves showing the two variants (A and B) to similar visitors at the same time, and the one that gives a better conversion rate wins. It's a powerful tool for understanding user preferences and making data-driven decisions that enhance the user experience and increase conversion rates.
