Measuring the effectiveness of a person testimonial promotion

• US 20090319351A1
• Filed: 07/14/2009
• Published: 12/24/2009
• Est. Priority Date: 06/18/2008
• Status: Abandoned Application

• Current Assignee: Invent.ly LLC
• Original Assignee: Vyrl MKT., Inc.
• Inventors: Brown, Stephen J., Soza, Harry R., Wayman, Mark
• Application Number:
  US12/460,223
• Publication Number:
  US 20090319351A1
• Time in Patent Office: Days
• US Class Current: 705/14.130
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives
• CPC Class Codes: G06Q 30/0245 Surveys
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

Behavioral targeting to push promotional offers to a person, such as an artist, celebrity, athlete, politician, of a fan-based network is provided. The selection and redemption of promotional offers can increase by providing persons of a fan-based network with relevant and high value offers. In addition, marketing campaigns can increase their effectiveness with knowledge and identification of persons having a high degree of influence on other persons. A person'"'"'s measure of influence is determined by characterizations of the person'"'"'s fans based on monitored actions of the fans. Relevant promotional offers can be targeted to a consumer based indirectly on the actions of the fans of the consumer in addition to the direct behavior of the consumer himself. The actions and behavior of a consumer and his or her fans can be tracked within the fan-based network setting. Pushing relevant and high value offers enables rapid and viral spread of offers.

Claims

1. A method of pushing promotional offers to a person of a computer-implemented fan-based network based on behavior of fans of said person, said method comprising:

(a) monitoring one or more actions of multiple fans of said person of said computer-implemented fan-based network, wherein each of said fans of said person has a pre-existing relationship with said person by at least being a fan of said person;

(b) characterizing at least one of said fans of said person based on said one or more monitored actions of said fans, wherein said characterizing is with respect to one or more domains;

(c) determining a measure of influence of said person with respect to one or more of said domains, wherein said measure of influence is at least partially based on said characterizing of said fans of said person;

(d) having a plurality of promotional offers, wherein each of said promotional offers is associated with one or more of said domains; and

(e) pushing at least one of said promotional offers to said person based on said measure of influence of said person and said domain associated with said pushed promotional offer.

2. The method as set forth in claim 1, wherein said person is an artist, a celebrity, an athlete, a politician or any person with a fan-base of people.

3. The method as set forth in claim 1, wherein said monitored actions of said fans of said person comprises an acceptance of promotional offers, a referral of promotional offers, a redemption of promotional offers, a frequency of receiving promotional offers, a frequency of referring promotional offers, a stated interest of promotional offers, a stated interest, or any combination thereof.

4. The method as set forth in claim 1, further comprising determining a value of said promotional offer pushed to said person, wherein said value determining is based at least partially on said measure of influence of said person.

5. The method as set forth in claim 1, further comprising providing a refer function for allowing said person to refer said pushed promotional offer to said fans of said person.

6. The method as set forth in claim 5, further comprising determining a value of said promotional offer pushed to said person, wherein said value determining is based at least partially on a number of said referrals by said person.

7. The method as set forth in claim 1, further comprising maintaining a record of said fans of said person, wherein said record comprises an identifier for each of said fans and said monitored actions of each of said fans.

8. The method as set forth in claim 1, further comprising providing a survey to said person, wherein said survey is related to an interest of said person, an interest of said fans of said person, a usage pattern of said person, a usage pattern of one or more of said fans of said person, or any combination thereof.

9. The method as set forth in claim 8, further comprising:

(a) determining a relevant domain for said person based on said survey;

(b) selecting a second promotional offer to push to said person of said fan-based network, wherein said selecting said second promotional offer is based on said relevant domain of said person; and

(c) pushing said second promotional offer to said person.

10. The method as set forth in claim 1, wherein said promotional offer pushed to said person includes an identifier associated with one of said fans of said person, and wherein said identifier comprises text, an audio clip, a visual graphic, an audio-visual clip, or any combination thereof.

11. The method as set forth in claim 1, wherein said promotional offers are directed to a product or a service of one or more sponsors, and wherein said plurality of promotional offers comprises a discount, a coupon, an advertisement, a voucher, an incentive to purchase, a ticket, an access pass, or any combination thereof.

12. The method as set forth in claim 1, further comprising tracking behavior of one of said persons of said fan-based network, wherein said measure of influence of the same of said persons is at least partially based on said tracked behavior of the same of said persons.

13. The method as set forth in claim 1, wherein said relationship between said person and each of said fans of said person is bidirectional, wherein said person can refer said promotional offers to said fans of said person, and wherein said person can receive said promotional offers referred by at least one of said fans of said person.

14. A system for measuring influence and pushing promotional offers, said system comprising:

(a) a computer-implemented fan-based network of a plurality of persons, wherein each of said persons of said fan-based network has one or more fans;

(b) a monitor function for monitoring actions of said fans of one or more of said persons;

(c) a characterize function for characterizing at least one of said fans of one or more of said persons based on said one or more monitored actions of said fans, wherein said characterizing is with respect to one or more domains;

(d) an influence function for determining a measure of influence of each of said persons with said monitored fans, wherein said measure of influence is with respect to one or more of said domains, and wherein said measure of influence is at least partially based on said characterizing of said fans of the same of said persons;

(e) a plurality of promotional offers, wherein each of said promotional offers is associated with one or more of said domains; and

(f) an offer function for pushing at least one of said promotional offers to be received by at least one of said persons, wherein said pushed promotional offers are based on said measure of influence of each of said receiving persons and said domains associated with said pushed promotional offers.

15. The system as set forth in claim 14, wherein said person is an artist, a celebrity, an athlete, a politician or any person with a fan-base of people.

16. The system as set forth in claim 14, wherein said monitored actions of said fans of said person comprises an acceptance of promotional offers, a referral of promotional offers, a redemption of promotional offers, a frequency of receiving promotional offers, a frequency of referring promotional offers, a stated interest of promotional offers, a stated interest, or any combination thereof.

17. The system as set forth in claim 14, wherein a value of one of said promotional offers pushed to one of said persons is based at least partially on said measure of influence of the same of said persons.

18. The system as set forth in claim 14, further comprising a refer function for allowing one of said persons to refer at least one of said pushed promotional offers to said fans of the same of said persons.

19. The system as set forth in claim 14, further comprising a database for storing a record of said fans of each of said persons, wherein said record comprises an identifier for each of said fans of the same of said persons and said monitored actions of each of said fans of the same of said persons.

20. The system as set forth in claim 14, further comprising a survey function for providing one or more surveys to some of said persons of said computer-implemented fan-based network, wherein said surveys are related to an interest of said person, an interest of said fans of said person, a usage pattern of said surveyed persons, a usage pattern of one or more of said fans of said surveyed persons, or any combination thereof.

21. The system as set forth in claim 20, wherein said offer function:

determines a relevant domain for said person based on said survey;

selects a second promotional offer to push to said person of said fan-based network, wherein said selecting said second promotional offer is based on said relevant domain of said person; and

pushes said second promotional offer to said person.

22. The system as set forth in claim 14, wherein one of said promotional offers pushed to one of said persons includes an identifier associated with one of said fans of the same of said persons, and wherein said identifier comprises text, an audio clip, a visual graphic, an audio-visual clip, or any combination thereof.