Implementing and Training Predictive Customer Lifetime Value Models in Python are covered in this talk by Jean-Rene Gauthier and  Ben Van Dyke. Customer lifetime value models (CLVs) are powerful predictive models that allow analysts and data scientists to forecast how much customers are worth to a business.

CLV models provide crucial inputs to inform marketing acquisition decisions, retention measures, customer care queuing, demand forecasting, etc. They are used and applied in a variety of verticals, including retail, gaming, and telecom.