An A-B Test is a method used to compare two versions of a product, webpage, or marketing campaign to determine which one performs better. In this test, one group of users is shown version A, while another group sees version B. By analyzing the results, businesses can make data-driven decisions to improve user experience and increase effectiveness. The key to a successful A-B Test is ensuring that the two versions are identical except for the one element being tested, such as color, layout, or content. This helps isolate the impact of that specific change, allowing for clearer insights into user preferences and behaviors.