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Flexible purchase frequency modeling
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AI
DOI：10.2307/3152016.png)
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摘要
En 中文
The authors present a general framework for purchase frequency modeling that enables flexible fitting and convenient computation. Their easily described purchase frequency distributions subsume many previous models and provide a connection between mixed Poisson marketing models and the conceptually distinct compound Poisson models. These distributions provide simple parametric equations for individual-level prediction of second-period purchase frequency based on observed first-period purchase frequencies. The results are applied to four marketing panel data sets.
Keyword:
FUTURE RANDOM EVENTS
POISSON-DISTRIBUTION
NBD MODEL
PREDICTION
