In A/B testing, marketers compare different versions of emails to determine which performs better. When multiple tests are conducted simultaneously, the chance of a false positive increases. For instance, if you run 20 tests with a 5% significance level, the probability of at least one test showing a false positive result can be as high as 64%. This makes it essential to account for the FWER to maintain the integrity of your test results.