ANALYSIS AND PREDICTION OF COUPON EFFECTIVENESS

• US 20140172524A1
• Filed: 12/16/2012
• Published: 06/19/2014
• Est. Priority Date: 12/16/2012
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Saura, Jose
• Application Number:
  US13/716,170
• Publication Number:
  US 20140172524A1
• Time in Patent Office: Days
• US Class Current: 705/14.13
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives

Abstract

Coupons may be analyzed in order to determine the relationship between a coupon'"'"'s content and the coupon'"'"'s performance. In one example, a service delivers coupons to users, and receives feedback on the coupons'"'"' performance. For example, the service may receive information on how often users print a given coupon, or how often a coupon results in a conversion. The service may build a model of how a coupon'"'"'s features, and external events such as the weather, correlate with a coupon'"'"'s performance. The service may offer a portal that businesses use to design and disseminate coupons. The portal may suggest particular types of coupons, or particular coupon dissemination strategies, based on the models that have been built from analysis of prior coupons.

Claims

1. A computer-readable medium that stores executable instructions for distributing coupons, the executable instructions, when executed by a computer, causing the computer to perform acts comprising:

analyzing first content of coupons and feedback on performance of said coupons to determine a first relationship between effectiveness of said coupons and said first content;

proposing, to an entity, second content for a coupon, said second content being based on what content, as determined from said first relationship, is likely to lead to an effective coupon campaign;

receiving, from said entity, a design of said coupon and distribution instructions for said coupon; and

distributing said coupon through electronic media channels based on said instructions.

2. The computer-readable medium of claim 1, said analyzing indicating a first correlation between a graphic and said effectiveness, said second content that is proposed to said entity comprising said graphic.

3. The computer-readable medium of claim 1, said analyzing indicating a correlation between a substantive offer and said effectiveness, said second content that is proposed to said entity comprising said substantive offer.

4. The computer-readable medium of claim 1, said acts further comprising:

analyzing said coupons and external factors to determine a second relationship between a first external factor and said effectiveness; and

proposing a timing of said distribution of said coupon based on said second relationship.

5. The computer-readable medium of claim 4, said external factor comprising a weather event.

6. The computer-readable medium of claim 4, said external factor comprising a time of year.

7. The computer-readable medium of claim 1, said effectiveness being determined based on a number of clicks that said coupons have received, a number of times that said coupons have been downloaded or printed, or a number of conversions that have resulted from said coupons.

8. A method of distributing coupons, the method comprising:

using a processor to perform acts comprising;

receiving a plurality of coupons;

distributing said coupons through a plurality of channels;

receiving feedback on effectiveness of said coupons based on whether said coupons are generating consumer interest;

analyzing first content of said coupons and said feedback to determine a first relationship between said effectiveness and said first content;

receiving a contact from an entity through a portal;

proposing, to said entity through said portal, second content for a coupon, said second content being based on what content, as determined from said first relationship, is likely to lead to an effective coupon campaign;

receiving, from said entity, a design of said coupon and distribution instructions for said coupon; and

distributing said coupon through said channels based on said instructions.

9. The method of claim 8, said analyzing indicating a first correlation between a graphic and said effectiveness, said second content that is proposed to said entity comprising said graphic.

10. The method of claim 8, said analyzing indicating a correlation between a substantive offer and said effectiveness, said second content that is proposed to said entity comprising said substantive offer.

11. The method of claim 8, said acts further comprising:

analyzing said coupons and external factors to determine a second relationship between a first external factor and said effectiveness; and

proposing a timing of said distribution of said coupon based on said second relationship.

12. The method of claim 11, said external factor comprising a weather event or a time of year.

13. The method of claim 8, said effectiveness being determined based on a number of clicks that said coupons have received, a number of times that said coupons have been downloaded or printed, or a number of conversions that have resulted from said coupons.

14. A system for distributing coupons, the system comprising:

a memory;

a processor; and

a component that is stored in said memory, that executes on said processor, that analyzes first content of coupons and feedback on performance of said coupons to determine a first relationship between effectiveness of said coupons and said first content, that proposes, to an entity, second content for a coupon, said second content being based on what content, as determined from said first relationship, is likely to lead to an effective coupon campaign, that receives, from said entity, a design of said coupon and distribution instructions for said coupon, and that distributes said coupon through electronic media channels based on said instructions.

15. The system of claim 14, analysis performed by said component indicating a first correlation between a graphic and said effectiveness, said second content that is proposed to said entity comprising said graphic.

16. The system of claim 14, analysis performed by said component indicating a correlation between a substantive offer and said effectiveness, said second content that is proposed to said entity comprising said substantive offer.

17. The system of claim 14, said component analyzing said coupons and external factors to determine a second relationship between a first external factor and said effectiveness, and said component proposing a timing of said distribution of said coupon based on said second relationship.

18. The system of claim 17, said external factor comprising a weather event.

19. The system of claim 17, said external factor comprising a time of year.

20. The system of claim 14, said effectiveness being determined based on a number of clicks that said coupons have received, a number of times that said coupons have been downloaded or printed, or a number of conversions that have resulted from said coupons.