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The Buy Till You Die (BTYD) class of statistical models are designed to capture the behavioral characteristics of non-contractual customers, or when the company is not able to directly observe when a customer stops being a customer of a brand. The goal is typically to model and forecast customer lifetime value. BTYD models all jointly model two processes: (1) a repeat purchase process, that explains how frequently customers make purchases while they are still "alive"; and (2) a dropout process, which models how likely a customer is to churn in any given time period.

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  • Buy Till you Die (en)
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  • The Buy Till You Die (BTYD) class of statistical models are designed to capture the behavioral characteristics of non-contractual customers, or when the company is not able to directly observe when a customer stops being a customer of a brand. The goal is typically to model and forecast customer lifetime value. BTYD models all jointly model two processes: (1) a repeat purchase process, that explains how frequently customers make purchases while they are still "alive"; and (2) a dropout process, which models how likely a customer is to churn in any given time period. (en)
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  • The Buy Till You Die (BTYD) class of statistical models are designed to capture the behavioral characteristics of non-contractual customers, or when the company is not able to directly observe when a customer stops being a customer of a brand. The goal is typically to model and forecast customer lifetime value. BTYD models all jointly model two processes: (1) a repeat purchase process, that explains how frequently customers make purchases while they are still "alive"; and (2) a dropout process, which models how likely a customer is to churn in any given time period. Common versions of the BTYD model include: * The Pareto/NBD model, which models the dropout process as a Pareto Type II distribution and the purchase frequency process as a negative binomial distribution * The Beta-Geometric/NBD model, which models the dropout process as a geometric distribution with a beta mixing distribution, and models the purchase frequency process as a negative binomial distribution. The concept was firstly introduced in 1987, in an article in Management Science, which concerns on counting and identifying those customers who are still active. (en)
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