A standardized churn early-warning system powered by user behavioral data. By analyzing 12 key metrics—such as login frequency, depth of feature usage, and billing payment cycles—the system generates a daily-updated report featuring risk-level classifications, churn probability forecasts, and prioritized intervention lists. The deliverable includes an Excel tool equipped with an automated scorecard and a panel for configuring early-warning thresholds.
The tool comes bundled with a library of customer retention strategies, recommending personalized interventions (e.g., coupon distribution or outreach by a dedicated customer service representative) tailored to specific risk levels.