How Does Insufficient Sample Size Affect A/B Testing?
A/B testing is a common practice in email marketing to compare two versions of an email to see which performs better. When the sample size is too small, the results of your A/B test may not be statistically significant. This means that any observed difference between the two versions could be due to random chance rather than a true underlying preference. Therefore, it's crucial to ensure a sufficiently large sample size to derive meaningful insights.