Advanced Customer Lifetime Value Predictive Model

Develop a comprehensive predictive model for customer lifetime value (CLV) in banking using machine learning techniques. The model should incorporate historical transaction data, customer demographics, product usage, and behavioral signals. Create a methodology that segments customers into distinct value tiers, calculates probabilistic future revenue, and provides confidence intervals for each prediction. Include feature importance analysis and model interpretability metrics to help financial strategists understand key drivers of customer value.