Customer Survival Analysis
Analyze customer retention and predict churn probability using survival models
Overall Survival Rate
78.5%
at 12 months
Median Survival Time
24.3 mo
+2.1 mo from baseline
High Risk Customers
247
>50% churn probability
Model Accuracy
92.3%
C-index score
Kaplan-Meier Survival Curve
Customer survival probability over time
Time (months)
Risk Segments
Customers by survival probability
Low risk (80-100%)8,234
Medium risk (50-79%)2,891
High risk (<50%)247
Key Survival Factors
Features impacting customer survival probability
Product usage frequency
HighHazard Ratio: 0.42
Active users have 58% lower churn risk
Support ticket volume
MediumHazard Ratio: 1.35
More tickets = 35% higher risk
Contract length
HighHazard Ratio: 0.38
Longer contracts = 62% lower risk