Introduction

Client attrition threatens advisory business sustainability. Survival analysis predicts client churn risk enabling proactive retention efforts targeting at-risk clients before they leave.

Survival Analysis Methodology

Cox proportional hazards models estimate churn probability considering client characteristics, account metrics, and engagement patterns. Models identify factors correlating with client retention or departure.

Retention Programs and Results

Identifying high-churn-risk clients enables targeted retention programs improving retention rates 15-25%. Interventions might include special attention from advisors, fee adjustments, or relationship deepening activities.

Conclusion

Survival analysis enables proactive retention protecting client relationships and advisory revenue.