AUTOMATIC CLASSIFICATION OF CONSUMERS INTO MICRO-SEGMENTS

• US 20120226559A1
• Filed: 03/02/2011
• Published: 09/06/2012
• Est. Priority Date: 03/02/2011
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Baum, Geoff, Chang, Walter
• Granted Patent: US 8,630,902 B2
• Time in Patent Office: Days
• US Class Current: 705/14.66
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A campaign is received, at a micro-segmentation system, from an offer provider. The micro-segmentation system is a third-party system. The campaign indicates a set of target attributes and one or more offers corresponding to the set of target attributes. A set of user attributes pertaining to each of the plurality of users is received at the micro-segmentation system. The set of attributes is defined by an attribute knowledge structure. Permission is received at the micro-segmentation system from each of the plurality of users to receive an offer from the micro-segmentation system. Data associated with the micro-segment classification is provided from the micro-segmentation system without user information to the offer provider.

Claims

1. A computer program product comprising a computer useable medium having a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

receive, at a micro-segmentation system, a campaign from an offer provider, the micro-segmentation system being a third-party system, the campaign indicating a set of target attributes and one or more offers corresponding to the set of target attributes;

receive, at the micro-segmentation system, a set of user attributes pertaining to each of a plurality of users, the set of attributes being defined by an attribute knowledge structure;

receive, at the micro-segmentation system, permission from each of the plurality of users to receive an offer from the micro-segmentation system;

process, at the micro-segmentation system, a micro-segment definition, the campaign, and the set of target attributes to determine a micro-segment classification from the plurality of users that each have a match between the set of user attributes and the set of target attributes;

provide, from the micro-segmentation system, data associated with the micro-segment classification without user information to the offer provider;

receive, at the micro-segmentation system, the offer based on the data associated with the micro-segment from the offer provider; and

provide, from the micro-segmentation system, the offer based on the data associated with the micro-segment classification to users in the micro-segment classification.

2. The computer program product of claim 1, wherein the computer readable program when executed on the computer is further caused to calculate a score based upon a quantity of the user attributes equaling a quantity of the target attributes.

3. The computer program product of claim 2, wherein the computer readable program when executed on the computer is further caused to determine the match by comparing the score to a predetermined score threshold.

4. The computer program product of claim 1, wherein the computer readable program when executed on the computer is further caused to generate a recommendation for an offer for a user based upon the micro-segment classification.

5. The computer program product of claim 1, wherein the offer provider is a merchant.

6. The computer program product of claim 1, wherein the offer provider is an advertiser.

7. The computer program product of claim 1, wherein the offer provider is a marketer.

8. A method comprising:

receiving, at a micro-segmentation system, a campaign from an offer provider, the micro-segmentation system being a third-party system, the campaign indicating a set of target attributes and one or more offers corresponding to the set of target attributes;

receiving, at the micro-segmentation system, a set of user attributes pertaining to each of a plurality of users, the set of attributes being defined by an attribute knowledge structure;

receiving, at the micro-segmentation system, permission from each of the plurality of users that to receive an offer from the micro-segmentation system;

processing, with a processor in the micro-segmentation system, a micro-segment definition, the campaign, and the set of target attributes to determine a micro-segment classification from the plurality of users that each have a match between the set of user attributes and the set of target attributes;

providing, from the micro-segmentation system, data associated with the micro-segment classification without user information to the offer provider;

receiving, at the micro-segmentation system, the offer based on the data associated with the micro-segment from the offer provider; and

providing, from the micro-segmentation system, the offer based on the data associated with the micro-segment classification to users in the micro-segment classification.

9. The method of claim 8, further comprising calculating a score based upon a quantity of the user attributes equaling a quantity of the target attributes.

10. The method of claim 9, further comprising determining the match by comparing the score to a predetermined score threshold.

11. The method of claim 8, further comprising generating a recommendation for an offer for a user based upon the micro-segment classification.

12. The method of claim 8, wherein the offer provider is a merchant.

13. The method of claim 8, wherein the offer provider is an advertiser.

14. The method of claim 8, wherein the offer provider is a marketer.

15. A system comprising:

a micro-segmentation reception module that receives (i) a campaign from an offer provider, (ii) a set of user attributes pertaining to each of the plurality of users, (iii) permission from each of a plurality of users that to receive an offer, and (iv) the offer based on data associated with a micro-segment classification from the offer provider, the campaign indicating a set of target attributes and one or more offers corresponding to the set of target attributes;

a micro-segmentation processor that processes a micro-segment definition, the campaign, and the set of target attributes to determine the micro-segment classification from the plurality of users that each have a match between the set of user attributes and the set of target attributes, the set of attributes being defined by an attribute knowledge structure; and

a micro-segmentation transmission module that sends data associated with the micro-segment classification without user information to the offer provider and the offer based on the data associated with the micro-segment classification to users in the micro-segment classification.

16. The system of claim 15, wherein the micro-segmentation processor calculates a score based upon a quantity of the user attributes equaling a quantity of the target attributes.

17. The system of claim 16, wherein the micro-segmentation processor determines the match by comparing the score to a predetermined score threshold.

18. The system of claim 15, wherein the micro-segmentation processor generates a recommendation for an offer for a user based upon the micro-segment classification.

19. The system of claim 15, wherein the offer provider is a merchant.

20. The system of claim 15, wherein the offer provider is an advertiser.