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Multi-dimensional segmentation for use in a customer interaction

  • US 7,698,163 B2
  • Filed: 11/22/2002
  • Issued: 04/13/2010
  • Est. Priority Date: 11/22/2002
  • Status: Active Grant
First Claim
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1. A computer-implemented method for segmenting data representing a plurality of customers, comprising the computer-implemented steps of:

  • choosing, using a data type choosing module, at least four different data types stored in a data warehouse on a computer platform,wherein the at least four different data types comprise a first data type containing customer behavior data, a second data type containing customer value data, a third data type, and a fourth data type; and

    wherein the third and fourth data types are chosen from a group comprising attitude, satisfaction, brand experience, brand attachment, brand utility, lifestyle, life-stage, and category involvement;

    segmenting, using at least one software module, a subset of the plurality of customers by each of the at least four different data types to produce a corresponding plurality of segmentation results;

    generating a multi-dimensional hypercube, for cross-segmenting the subset of the plurality of customers, and combining the at least four different data types by overlaying the plurality of segmentation results within the multi-dimensional hypercube;

    profiling the plurality of segmentation results overlaid within the multi-dimensional hypercube, wherein profiling includes cross-segmenting the subset of the plurality of customers to produce a joint view of relationships among the at least four different data types, and to identify the relationships among the at least four data types;

    associating the identified relationships to a superset of the plurality of customers; and

    updating a customer record stored in the data warehouse on the computer platform for each of the superset of the plurality of customers to reflect the identified relationships.

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