SYSTEM AND METHOD FOR MATCHING CONSUMERS BASED ON SPEND BEHAVIOR
First Claim
1. A method comprising:
- passively collecting spend level data for a transaction of a first entity;
aggregating the collected spend level data for a plurality of entities; and
clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity; and
matching a first cluster member with a second cluster member.
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Accused Products
Abstract
The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided.
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Citations
20 Claims
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1. A method comprising:
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passively collecting spend level data for a transaction of a first entity; aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity; and matching a first cluster member with a second cluster member. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A system configured to:
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passively collect spend level data for a transaction of a first entity; aggregate the collected spend level data for a plurality of entities; cluster the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity; and match a first cluster member with a second cluster member.
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20. A computer readable medium having instructions stored thereon that, if executed by a computing device, cause the computing device to perform a method comprising:
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passively collect spend level data for a transaction of a first entity; aggregate the collected spend level data for a plurality of entities; cluster the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity; and match a first cluster member with a second cluster member.
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Specification