SYSTEM AND METHOD OF DETERMINING PRICING AND SPONSORSHIP OPTIMIZATION FOR BRAND PROMOTERS AND SOCIAL PUBLISHERS

• US 20090177588A1
• Filed: 11/05/2008
• Published: 07/09/2009
• Est. Priority Date: 11/05/2007
• Status: Abandoned Application

• Current Assignee: TrueX, Inc. (PaeDae, Inc.)
• Original Assignee: TrueX, Inc. (PaeDae, Inc.)
• Inventors: Marchese, Joseph John
• Application Number:
  US12/265,082
• Publication Number:
  US 20090177588A1
• Time in Patent Office: Days
• US Class Current: 705/80
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0215 Including financial accounts
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/188 Electronic negotiation

Abstract

Systems and methods for quantifying points of value in a personality relevant publishing environment are disclosed. These systems and method determine and account for the value that a brand campaign provides to brand promoters when the brand campaign is delivered within the social content of social publishers.

Claims

1. A computer-implemented method of quantifying points of value in a personality relevant publishing environment, the method comprising:

identifying a plurality of social publishers each having social characteristics of interest to a brand promoter;

sending a first message to each of the social publishers, wherein the message comprises data indicative of the brand promoter and an offer to provide details of a brand sponsorship opportunity to each of the social publishers;

storing data indicative of the first message, the data indicative of the first message including the identity of the social publisher receiving the message, social characteristics of the social publisher receiving the message, and the brand associated with the brand sponsorship opportunity associated with the first message;

receiving and storing data indicative of responses the social publishers to the first message, wherein the responses to the first message include data indicative of an acceptance or declination of the offer to provide details of the brand sponsorship opportunity;

sending a second message to those of the social publishers whose response to the first message includes an acceptance of the offer to provide details of the brand sponsorship opportunity, wherein the second message comprises data indicative of the details of the brand sponsorship opportunity;

storing data indicative of the second message, the data indicative of the second message including the identity of the social publisher and the details of the second offer; and

receiving and storing data indicative of responses by the social publishers to the second message, wherein the responses to the second message include data indicative of an acceptance or declination of brand sponsorship opportunity.

2. The computer-implemented method of claim 1, wherein the data indicative of the details of the brand sponsorship opportunity comprises digital assets including social publisher-selectable compensation and one or more available selections of brand art for display within social content of the social publisher.

3. The computer-implemented method of claim 1, further comprising generating metrics based at least in part on the first response from the selected social publishers and the second response from the selected social publishers, wherein the generated metrics comprise a brand interaction count and a brand selection count.

4. The computer-implemented method of claim 3, wherein the brand interaction count comprises data indicative of acceptance by the social publishers of the offer to provide details of the brand sponsorship opportunity.

5. The computer-implemented method of claim 4, further comprising generating data indicative of a brand interaction rate, wherein the brand interaction rate is indicative of the rate of acceptance by the social publishers of the offer to provide details of a brand sponsorship opportunity.

6. The computer-implemented method of claim 3, wherein the brand selection count comprises data indicative of acceptance by the social publishers of the sponsorship offer.

7. The computer-implemented method of claim 6, further comprising generating data indicative of a brand selection rate, wherein the brand selection rate is indicative of the rate of acceptance by the social publishers of the brand sponsorship opportunity.

8. The computer-implemented method of claim 2, wherein the data indicative of acceptance of the brand sponsorship opportunity comprises data indicative of a selection of one or more digital assets by the social publisher.

9. The computer-implemented method of claim 8, further comprising incorporating the selected digital assets into the social content of the social publisher whom made the selection of the one or more digital assets.

10. The computer-implemented method of claim 8, further comprising generating an digital asset performance metric for one or more of the digital assets based at least in part on the rate of selection of the one or more digital assets when one or more of the social publishers indicates an acceptance of the brand sponsorship opportunity.

11. The computer-implemented method of claim 1, further comprising generating an influence garnered metric based on a volume of endorsed impressions received among social publishers who have accepted the brand sponsorship offer, an average quality of the social publishers who have accepted the brand sponsorship offer based on the social content of the social publisher, and an alignment score based on the alignment of the social characteristics of interest to a brand promoter and the social characteristics of the social publishers who have accepted the brand sponsorship offer.

12. A computer-readable medium having computer-executable instructions stored thereon which, when executed, cause a computing device to perform a method of quantifying points of value in a personality relevant publishing environment, the method comprising:

identifying a plurality of social publishers each having social characteristics of interest to a brand promoter;

sending a first message to each of the social publishers, wherein the message comprises data indicative of the brand promoter and an offer to provide details of a brand sponsorship opportunity to each of the social publishers;

storing data indicative of the first message, the data indicative of the first message including the identity of the social publisher receiving the message, social characteristics of the social publisher receiving the message, and the brand associated with the brand sponsorship opportunity associated with the first message;

receiving and storing data indicative of responses the social publishers to the first message, wherein the responses to the first message include data indicative of an acceptance or declination of the offer to provide details of the brand sponsorship opportunity;

sending a second message to those of the social publishers whose response to the first message includes an acceptance of the offer to provide details of the brand sponsorship opportunity, wherein the second message comprises data indicative of the details of the brand sponsorship opportunity;

storing data indicative of the second message, the data indicative of the second message including the identity of the social publisher and the details of the second offer; and

receiving and storing data indicative of responses by the social publishers to the second message, wherein the responses to the second message include data indicative of an acceptance or declination of brand sponsorship opportunity.

13. The computer-readable medium of claim 12, wherein the data indicative of the details of the brand sponsorship opportunity comprises digital assets including social publisher-selectable compensation and one or more available selections of brand art for display within social content of the social publisher.

14. The computer-readable medium of claim 12, further comprising generating metrics based at least in part on the first response from the selected social publishers and the second response from the selected social publishers, wherein the generated metrics comprise a brand interaction count and a brand selection count.

15. The computer-readable medium of claim 14, wherein the brand interaction count comprises data indicative of acceptance by the social publishers of the offer to provide details of the brand sponsorship opportunity.

16. The computer-readable medium of claim 15, further comprising generating data indicative of a brand interaction rate, wherein the brand interaction rate is indicative of the rate of acceptance by the social publishers of the offer to provide details of a brand sponsorship opportunity.

17. The computer-readable medium of claim 14, wherein the brand selection count comprises data indicative of acceptance by the social publishers of the sponsorship offer.

18. The computer-readable medium of claim 17, further comprising generating data indicative of a brand selection rate, wherein the brand selection rate is indicative of the rate of acceptance by the social publishers of the brand sponsorship opportunity.

19. The computer-readable medium of claim 13, wherein the data indicative of acceptance of the brand sponsorship opportunity comprises data indicative of a selection of one or more digital assets by the social publisher.

20. The computer-readable medium of claim 19, further comprising incorporating the selected digital assets into the social content of the social publisher whom made the selection of the one or more digital assets.

21. The computer-readable medium of claim 19, further comprising generating an digital asset performance metric for one or more of the digital assets based at least in part on the rate of selection of the one or more digital assets when one or more of the social publishers indicates an acceptance of the brand sponsorship opportunity.

22. The computer-readable medium of claim 12, further comprising generating an influence garnered metric based on a volume of endorsed impressions received among social publishers who have accepted the brand sponsorship offer, an average quality of the social publishers who have accepted the brand sponsorship offer based on the social content of the social publisher, and an alignment score based on the alignment of the social characteristics of interest to a brand promoter and the social characteristics of the social publishers who have accepted the brand sponsorship offer.