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US Patent 7328169 Method and system for purchase-based segmentation

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7328169
Date of Patent
February 5, 2008
Patent Application Number
10947589
Date Filed
September 22, 2004
Patent Citations Received
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US Patent 11995664 Systems and methods to rank and select triggers for real-time offers
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US Patent 11954731 System and method for generating a finance attribute from tradeline data
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US Patent 11989242 Generating sequential segments with pre-sequence or post-sequence analytics data
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US Patent 11995656 Systems and methods to set up an operation at a computer system connected with a plurality of computer systems via a computer network using a round trip communication of an identifier of the operation
0
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US Patent 11657411 System, method, software and data structure for independent prediction of attitudinal and message responsiveness, and preferences for communication media, channel, timing, frequency, and sequences of communications, using an integrated data repository
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US Patent 11682041 Systems and methods of a tracking analytics platform
0
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US Patent 11748503 Access control system for implementing access restrictions of regulated database records while identifying and providing indicators of regulated database records matching validation criteria
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US Patent 11803873 Systems and methods for providing a direct marketing campaign planning environment
...
Patent Primary Examiner
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Yogesh C. Garg
Patent abstract

A method and system for purchased-based segmentation of potential customers employs the use of actual, observed purchases instead of presumptions and correlations to improve the accuracy of segmentation and involves collecting empirical data for a client on actual purchasing behavior of a group of customers and applying statistical modeling techniques to the empirical purchasing behavior data to identify segments or clusters of the customers that exhibit similar purchasing propensity characteristics. Thereafter, the segments or clusters are further differentiated from one another according to other factors having a tendency to directly affect actual purchasing behavior of the customers within the segments or clusters, and potential customers are then identified according to a correlation with the segments or clusters for customized marketing.

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