Customer Lifetime Value, Bayesian, Survival Analysis, Hierarchical Modeling, Retention.
model time-to-event data, focusing on the occurrence of events, such as death, product failure, or subscription cancellation. A key aspect of these models is data censoring — i.e. being able to include in your model observations who haven’t had the relevant ‘event’ occur yet (active subscribers).