Correlation vs. Causation in Customer Churn

Most churn strategies rely on surface-level patterns and lagging indicators, which explain churn after it happens but don’t prevent it. The real opportunity lies in understanding causation—how multiple signals and events interact to drive customer decisions. By shifting from correlation to causal insight, teams can move from reactive churn management to proactive retention strategies that…