SYSTEMS AND METHODS FOR ELECTRONIC COUPON TARGETING

• US 20130024262A1
• Filed: 06/22/2012
• Published: 01/24/2013
• Est. Priority Date: 06/23/2011
• Status: Abandoned Application

• Current Assignee: SavingStar Incorporated (Quotient Technology Inc.)
• Original Assignee: SavingStar Incorporated (Quotient Technology Inc.)
• Inventors: Libenson, Michael D., Rochon, David A., White, Gregory T.
• Application Number:
  US13/531,300
• Publication Number:
  US 20130024262A1
• Time in Patent Office: Days
• US Class Current: 705/14.25
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Described herein are methods and systems for implementing personalized targeting via electronic coupons, providing aggregate cap control of electronic coupons, implementing viral marketing using electronic coupons, and performing real time processing of electronic coupons.

Claims

1. A method for personalized electronic coupon targeting based on offline Universal Product Code (UPC) tracking, the method comprising:

(a) receiving, by a server via one or more networks from one or more point of sale (POS) systems, Universal Product Code (UPC) transaction information attributable to a specific user making offline transactions at one or more stores associated with the one or more POS systems;

(b) analyzing, by the server, behavior of the specific user at a UPC level based on the UPC transaction information;

(c) updating, by the server, a user profile of the specific user based on the analysis;

(d) identifying, by the server, the specific user interacting with an online medium; and

(e) determining, by the server based on the user profile, an electronic coupon campaign to be delivered via the online medium to the specific user.

2. The method of claim 1, wherein step (a) further comprises receiving, by the server, UPC transaction information from the specific user making offline transactions at physical locations of the one or more stores via the one or more POS systems.

3. The method of claim 1, wherein step (b) further comprises analyzing, by the server, behavior of the specific user at the UPC level to identify purchases of related goods or servers in transactions of the specific user.

4. The method of claim 1, wherein step (b) further comprises analyzing, by the server, behavior of the specific user at the UPC level to identify quantity of items purchased in the transaction of the specific user.

5. The method of claim 1, wherein step (b) further comprises analyzing, by the server, behavior of the specific user at the UPC level to identify one of time or frequency of visits to the one or more stores corresponding to the transactions of the specific user.

6. The method of claim 1, wherein step (b) further comprises analyzing, by the server, behavior of the specific user at the UPC level to identify items purchased in the connection with a promotion.

7. The method of claim 1, wherein step (c) further comprises updating, by the server, the user profile to identify the specific user'"'"'s preferences based on the analysis.

8. The method of claim 1, wherein step (d) further comprises receiving, by the server, identification of the specific user from an online service provider, the online service provider providing the online medium via which the user is interacting.

9. The method of claim 1, wherein step (d) further comprises identifying, by the server, the specific user via a cookie.

10. The method of claim 1, wherein step (e) further comprises delivering, by the server, an electronic coupon to the specific user via the online medium.

11. A system for personalized electronic coupon targeting based on offline Universal Product Code (UPC) tracking, the system comprising:

a server receiving, via one or more networks from one or more point of sale (POS) systems, Universal Product Code (UPC) transaction information attributable to a specific user making offline transactions at one or more stores associated with the one or more POS systems;

an electronic coupon manager of the server analyzing behavior of the specific user at a UPC level based on the UPC transaction information and updating a user profile of the specific user based on the analysis; and

wherein the server, responsive to identifying the specific user interacting with an online medium, determines, based on the user profile, an electronic coupon campaign to be delivered via the online medium to the specific user.

12. The system of claim 11, wherein the server receives UPC transaction information from the specific user making offline transactions at physical locations of the one or more stores via the one or more POS systems.

13. The system of claim 11, wherein the electronic coupon manager analyzes behavior of the specific user at the UPC level to identify purchases of related goods or servers in transactions of the specific user.

14. The system of claim 11, wherein the electronic coupon manager analyzes behavior of the specific user at the UPC level to identify quantity of items purchased in the transaction of the specific user.

15. The system of claim 11, wherein the electronic coupon manager analyzes behavior of the specific user at the UPC level to identify one of time or frequency of visits to the one or more stores corresponding to the transactions of the specific user.

16. The system of claim 11, wherein the electronic coupon manager analyzes behavior of the specific user at the UPC level to identify items purchased in the connection with a promotion.

17. The system of claim 11, wherein the electronic coupon manager updates the user profile to identify the specific user'"'"'s preferences based on the analysis.

18. The system of claim 11, wherein the server received identification of the specific user from an online service provider, the online service provider providing the online medium via which the user is interacting.

19. The system of claim 11, wherein the server identifies the specific user via a cookie.

20. The system of claim 11, wherein the server delivers an electronic coupon to the specific user via the online medium.