Low statistical power poses several risks to email marketing efforts:
Increased Type II Errors: You may fail to detect a meaningful difference between test versions, leading to missed opportunities for optimization. Unreliable Results: Decisions based on low-power tests might lead to incorrect conclusions and ineffective strategies. Wasted Resources: Running tests with insufficient power can consume time and resources without providing actionable insights.