METHOD AND SYSTEM FOR PURCHASE-BASED SEGMENTATION
First Claim
1. A method for purchased-based segmentation of customers, comprising:
- collecting, using a computer having a processor and memory, empirical data on purchasing behavior of a subset of a group of customers, the empirical data comprising purchase information associated with purchase behavior of the group of customers;
analyzing, using the computer, the empirical purchasing behavior data to identify at least one segment or cluster that includes the group of customers;
analyzing, using the computer, the empirical purchasing behavior data to identify at least one segment or cluster for the subset of customers;
analyzing, using the computer, the empirical purchasing behavior data to identify at least one segment or cluster for the group of customers that does not include the subset of the group of customers;
identifying, using the computer, characteristics indicative of purchasing behavior for the segment or cluster for the group of customers;
analyzing, using the computer, the subset of the group of customers based upon the characteristics of the group of customers; and
identifying, using the computer, potential customers for according to a correlation with the segments or clusters and the information generated about the purchasing behavior of the group of customers that does not include the subset of the group of customers.
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Accused Products
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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Citations
23 Claims
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1. A method for purchased-based segmentation of customers, comprising:
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collecting, using a computer having a processor and memory, empirical data on purchasing behavior of a subset of a group of customers, the empirical data comprising purchase information associated with purchase behavior of the group of customers; analyzing, using the computer, the empirical purchasing behavior data to identify at least one segment or cluster that includes the group of customers; analyzing, using the computer, the empirical purchasing behavior data to identify at least one segment or cluster for the subset of customers; analyzing, using the computer, the empirical purchasing behavior data to identify at least one segment or cluster for the group of customers that does not include the subset of the group of customers; identifying, using the computer, characteristics indicative of purchasing behavior for the segment or cluster for the group of customers; analyzing, using the computer, the subset of the group of customers based upon the characteristics of the group of customers; and identifying, using the computer, potential customers for according to a correlation with the segments or clusters and the information generated about the purchasing behavior of the group of customers that does not include the subset of the group of customers. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A machine for purchased-based segmentation of customers, comprising:
a computer having a processor and memory, the processor being programmed for; collecting empirical data on purchasing behavior of a subset of a group of customers, the empirical data comprising purchase information associated with purchase behavior of the group of customers; analyzing the empirical purchasing behavior data to identify at least one segment or cluster that includes the group of customers; analyzing the empirical purchasing behavior data to identify at least one segment or cluster for the subset of customers; analyzing the empirical purchasing behavior data to identify at least one segment or cluster for the group of customers that does not include the subset of the group of customers; identifying characteristics indicative of purchasing behavior for the segment or cluster for the group of customers; analyzing the subset of the group of customers based upon the characteristics of the group of customers; and identifying potential customers for according to a correlation with the segments or clusters and the information generated about the purchasing behavior of the group of customers that does not include the subset of the group of customers. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
Specification