Applying Quantitative Marketing Techniques to the Internet
- Tags:
- Alan Montgomery,
- Bayesian,
- Internet,
- Marketing,
- Marketing Research,
- Model
- Source:
- Alan Montgomery
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Overview: 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 shop bots. Hierarchical Bayesian models provide a framework to implement versioning and price segmentation strategies. Bayesian updating is a natural tool for profiling users with click stream data.
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Format: PDF | Size: 105KB | Date: Jul 2000 | Pages: 32






