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Data & Analytics Data Analysis

Customer Churn Prediction Brief

Identify at-risk customers from behavioral data.

Prompt
Analyse this customer data to predict churn risk. Provide: 1) Risk segmentation (high/medium/low) with criteria, 2) Top 5 churn indicators from the data, 3) Retention strategy for each segment, 4) Estimated revenue impact of churn, 5) A/B test suggestions for retention campaigns. Present findings as an executive brief with data visualisation recommendations. Industry: [industry]. Market: [APAC country].
Data:
[paste data summary]
For image models
churn analysis, dashboard, red amber green, 16:9

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