GENERATING PROMOTIONS TO A TARGETED AUDIENCE

• US 20130218677A1
• Filed: 02/22/2012
• Published: 08/22/2013
• Est. Priority Date: 02/22/2012
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: YOPP, John, PILON, Charles
• Granted Patent: US 10,157,388 B2
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A system generates a targeted promotion for a group of consumers in a store. The system determines the group of consumers or an audience that are within a viewable area of a display during at least a portion of a time period. The system then generates a profile for each of the consumers and, based at least on the profiles and a goal of the store, determines the targeted promotion from multiple potential promotions. The system then displays the determined promotion on the display during the time period.

Claims

1. A computer readable medium having instructions stored thereon that, when executed by a processor, causes the processor to generated a targeted promotion for a plurality of consumers in a store, the instructions comprising:

determine a plurality of consumers that are within a viewable area of a display during at least a portion of a time period;

generate a profile for each of the consumers;

based at least on the profiles and a goal of the store, determine the targeted promotion from a plurality of promotions; and

display the determined promotion on the display during the time period.

2. The computer readable medium of claim 1, wherein the plurality of consumers each correspond to a mobile device that comprises a machine identification.

3. The computer readable medium of claim 2, the instructions further comprising:

track a location within the store for each of the consumers.

4. The computer readable medium of claim 3, wherein the determine the plurality of consumers comprises:

identify consumers dwelling in the viewable area;

determine a first probability that each consumer will enter the viewable area during a first portion of the time period; and

determine a second probability that each consumer will leave the viewable area during a second portion of the time period.

5. The computer readable medium of claim 1, wherein the determine the targeted promotion from a plurality of promotions comprises a regression analysis.

6. The computer readable medium of claim 3, wherein each of the consumers has enrolled in a loyalty program of the store.

7. The computer readable medium of claim 6, wherein the profile comprises demographic information for each consumer, and previous purchasing history for each consumer.

8. A computer implemented method for generating a targeted promotion for a plurality of consumers in a store, the method comprising:

determining a plurality of consumers that are within a viewable area of a display during at least a portion of a time period;

generating a profile for each of the consumers;

based at least on the profiles and a goal of the store, determining the targeted promotion from a plurality of promotions; and

displaying the determined promotion on the display during the time period.

9. The method of claim 8, wherein the plurality of consumers each correspond to a mobile device that comprises a machine identification.

10. The method of claim 9, the further comprising tracking a location within the store for each of the consumers.

11. The method of claim 10, wherein the determining the plurality of consumers comprises:

identifying consumers dwelling in the viewable area;

determining a first probability that each consumer will enter the viewable area during a first portion of the time period; and

determining a second probability that each consumer will leave the viewable area during a second portion of the time period.

12. The method of claim 8, wherein the determining the targeted promotion from a plurality of promotions comprises a regression analysis.

13. The method of claim 10, wherein each of the consumers has enrolled in a loyalty program of the store.

14. The method of claim 13, wherein the profile comprises demographic information for each consumer, and previous purchasing history for each consumer.

15. A system that generates a targeted promotion for a plurality of consumers in a store, the system comprising:

a viewable area module to determine a plurality of consumers that are within a viewable area of a display during at least a portion of a time period;

a profile generation module to generate a profile for each of the consumers;

a determine promotion module that, based at least on the profiles and a goal of the store, determines the targeted promotion from a plurality of promotions; and

a display module that displays the determined promotion on the display during the time period.

16. The system of claim 15, wherein the plurality of consumers each correspond to a mobile device that comprises a machine identification.

17. The system of claim 16, further comprising a tracking module to track a location within the store for each of the consumers.

18. The system of claim 17, wherein the determine the plurality of consumers comprises:

identify consumers dwelling in the viewable area;

determine a first probability that each consumer will enter the viewable area during a first portion of the time period; and

determine a second probability that each consumer will leave the viewable area during a second portion of the time period.

19. The system of claim 15, wherein the determine the targeted promotion from a plurality of promotions comprises a regression analysis.

20. The system of claim 17, wherein each of the consumers has enrolled in a loyalty program of the store.

21. The system of claim 20, wherein the profile comprises demographic information for each consumer, and previous purchasing history for each consumer.