Meta-Analyses in Experimentation: The Whats and Hows

In this webinar, Divyansh and Ruben delve into the intricacies of A/B testing and its role in conversion rate optimization (CRO). Ruben, a CRO expert, emphasizes the importance of learning from both successful and unsuccessful experiments. He explains how to analyze data from A/B tests to verify or deny behavioral hypotheses, and how this knowledge can drive revenue and conversion rates.

Ruben also demonstrates how to create a detailed A/B test report, highlighting the difference between results and learnings. He advises against simply summarizing results, instead encouraging attendees to answer key questions to gain valuable insights. These include whether the hypothesis was confirmed, how the results align with previous knowledge, and what can be inferred about customer needs and motivations. Ruben introduces the concept of evidence-based prioritization, which helps build on learnings and successes. The webinar concludes with a poll asking attendees about their current prioritization models.