Identify the root causes of user churn by analyzing behavioral data and suggesting actionable retention strategies.
Task: generate a summary of a video. Input: [video title], [video transcript], [length of summary: e.g., 100 words, 200 words] Instruction: summarize the video transcript, focusing on the main topics and key takeaways. The summary should be concise and informative, providing a clear overview of the video's content. Adhere to the specified length constraint.
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This prompt is part of the premium pack "Advanced product analytics toolkit".
Identify key user engagement metrics and interpret their significance for product health and growth.
Analyze A/B test data for product features, providing clear findings, statistical interpretations, and actionable recommendations to guide product development decisions.
Conduct a detailed analysis of given user churn data to identify patterns and root causes, then propose targeted retention strategies based on the findings.