A method used to compare different versions of digital ads or website landing pages in order to determine which one performs better. A typical A/B test for ads involves running the two ads simultaneously and then measuring which version gets a better response from the audience. When running an A/B test, only one element of the ads should be changed at a time. This is because the goal of these tests is to determine which variables generate the best responses from the audience. Once a winner is selected, it is then used as the next control and compared with another version to isolate and identify, the ad element that causes the audience to respond favorably to the ad
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