A stochastic RFM model
β Scribed by Richard Colombo; Weina Jiang
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 205 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1094-9968
No coin nor oath required. For personal study only.
β¦ Synopsis
R i c h a r d C o l o m b o
W e i n a J i a n g f
A B S T R A C T
A central problem in database marketing is how to choose which customers in the firm's database to target with an offer. This paper presents a simple stochastic RFM model to carry out such a task. By making a few straightforward assumptions about the customers in the database, the stochastic model provides a means of (1) ranking customers in terms of their expected contribution (or lifetime value) and ( 2) deciding how deep to go in the customer file to make the offer. The model provides a more insightful alternative to scoring or segmenting customers than regression or cross-tabulation methods. The approach is demonstrated with an example from the market research industry.
π SIMILAR VOLUMES
## Abstract This article introduces a new model to capture simultaneously the mean and variance asymmetries in time series. Threshold nonβlinearity is incorporated into the mean and variance specifications of a stochastic volatility model. Bayesian methods are adopted for parameter estimation. Fore