Customer Lifetime Value, Bayesian, Survival Analysis, Hierarchical Modeling, Retention.
only need one row of data per customer, rather than a row that describes each point in time in their history. This latter point is important and can save you months of stitching stubborn datasets together! Why hierarchical bayesian? Bayesian models, while sometimes tricky to implement, have a