Predicting Insurance Customer Lifetime Value (CLTV)

Personalized Customer Engagement

For insurance companies, not all customers present the same long-term value. Segmenting customers based on their predicted Customer Lifetime Value (CLTV) enables highly targeted marketing and personalized retention strategies.

Regression for CLTV

Using behavioral and interaction data, I implemented an ensemble regression model combining LightGBM, Gradient Boosting, and MLP Regressors to estimate the continuous CLTV metric.

Strategic Value

This approach, which ranked 25th out of over 7000 participants, demonstrates how enterprise insurance providers can transition from generic mass-marketing to data-driven, personalized customer lifecycle management.