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Author:Montgomery, A.L.
Title:Applying quantitative marketing techniques to the Internet
Journal:Interfaces
2001 : MAR-APR, VOL. 31:2, p. 90-108
Index terms:BAYESIAN STATISTICS
CONSUMER BEHAVIOUR
ELECTRONIC COMMERCE
INTERNET
MARKETING
QUANTITATIVE TECHNIQUES
Language:eng
Abstract:Quantitative models have proved valuable in predicting consumer behavior in the offline world. These same techniques can be adapted to predict online actions. The use of diffusion models provides a firm foundation to implement and forecast viral marketing strategies. Choice models can predict purchases at online stores and shobots. Hierarchical Bayesian models provide a framework for implementing versioning and price-segmentation strategies.
SCIMA record nr: 221122
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