Develop a comprehensive list of potential customer churn signals based on various interaction data points, enabling proactive intervention 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.
Analyze open-ended customer feedback for nuanced sentiment, identifying key emotions and underlying issues.
Act as a data scientist to analyze provided customer behavior data and identify key indicators and patterns that predict churn. This prompt helps you proactively address potential customer attrition.
Act as a data-driven customer retention expert to analyze potential churn risks based on provided user data and propose targeted intervention strategies.
