MarketingReasoningMedium complexity
Customer Lifetime Value Prediction
Predict which customers will be worth most over time, and what moves that value.
How we approach it
Model product holdings, transactions, engagement and life events to forecast lifetime value by segment and by customer, with the main drivers shown. Results steer acquisition budgets, retention offers and service levels, within consent and fairness limits.
Business value
Marketing and retention spend aimed where it pays
Technology stack
- Python
- LightGBM
- survival models
- CDP
- BI dashboards
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