Using A/B Testing to Enhance Decision Making

Act as a business intelligence analyst specializing in A/B testing. Given raw data from an A/B test, analyze the results to provide actionable insights for decision-making. Include interpretations of key metrics such as conversion rate, statistical significance, and user behavior differences between groups A and B. Summarize findings in a concise report, highlighting how these insights can be used to optimize business strategies or product features. Address any potential biases or limitations of the test, and propose next steps to further enhance outcomes. Use the following data: [insert A/B test data here].