Generate a detailed plan to optimize a customer churn prediction model, including data sources, feature engineering, and model evaluation metrics.
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 "Growth hacking toolkit for startups".
Craft a comprehensive strategy to maximize customer lifetime value (CLTV) by identifying key touchpoints and implementing retention and upsell tactics.
Analyze sales and usage data to predict customer churn risk, identify contributing factors, and suggest effective retention strategies to minimize attrition.
Generate a structured outline for developing a churn prediction model, including data sources, methodology, and key metrics.
