Project 4 : Customer Predictive Lifetime Value Modelling

The aim is to model the behavior of customers for purchasing anything in order to predict their future activities. The evaluation of this model can be performed by using such as Beta-geometric binomial model for customer alive probability or by using the Gamma-gamma model. These models collect, classify and clean the data around customer’s needs, expenses, recent purchases, etc. The data science algorithm is then used after the processing of data to spot the inter dependencies between the choices and behaviors of the customers assuring a better understanding of the customers.