Why is the Holm-Bonferroni Method Important in Email Marketing?
When conducting multiple A/B tests or analyzing multiple performance metrics, there's a risk of encountering false positives. The Holm-Bonferroni method controls this risk by adjusting p-values, ensuring that the probability of making one or more Type I errors (incorrectly rejecting a true null hypothesis) remains below a specified level. This is crucial for maintaining the integrity of your email campaigns and making data-driven decisions.