HIGH-PRECISION CUSTOMER-BASED TARGETING BY INDIVIDUAL USAGE STATISTICS
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United States of America Patent
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N/A
Issued Date -
Jul 9, 2009
app pub date -
Jun 6, 2008
filing date -
Jul 8, 2003
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
A system for distributing limited numbers of promotional offers targeted to individual customers based on the customers' individual probabilities of accepting the offers is disclosed. Each customer can receive a limited number of offers estimated to be most likely to be acceptable by the customer. Customer-Based targeting analyzes each customer's past purchasing behavior relative to a master list of promotional offers made available to all customers and selects a number of promotional offers most likely to be preferred by each customer. Various techniques, such as empirical Bayes techniques and sparse data handling techniques, are disclosed for providing an offer acceptance probability profile tailored for individual customers. Product groupings and market segments are taken into account. Various marketing strategies are incorporated into the system. An individual can override a system computation and manually set the relative offer acceptance probabilities for an individual user or class of users using a graphical technique.
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