CUSTOMER INSIGHT SYSTEMS AND METHODS

• US 20120232956A1
• Filed: 03/09/2012
• Published: 09/13/2012
• Est. Priority Date: 03/11/2011
• Status: Abandoned Application

• Current Assignee: Compass Labs, Inc.
• Original Assignee: Compass Labs, Inc.
• Inventors: Dilip, Venkatachari, Jayaram, Arjun, Eslick, Ian
• Application Number:
  US13/416,937
• Publication Number:
  US 20120232956A1
• Time in Patent Office: Days
• US Class Current: 705/7.33
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Example systems and methods of identifying customer insights are described. In one implementation, a method generates seed data associated with a likely advertisement audience, and generates sets of interests and demographic clusters based on the seed data. An advertisement campaign is launched based on the sets of interests and the demographic clusters. The demographic clusters are divided into smaller clusters based on advertisement campaign results. The method then identifies interests associated with individuals engaging with specific advertisements.

Claims

1. A method comprising:

generating seed data associated with a likely advertisement audience;

generating, using one or more processors, sets of interests and demographic clusters based on the seed data;

launching an advertisement campaign based on the sets of interests and demographic clusters;

dividing the demographic clusters into smaller clusters based on advertisement campaign results, the smaller clusters associated with specific targeting of advertisements; and

identifying interests associated with individuals engaging with specific advertisements.

2. A method as recited in claim 1, further comprising identifying demographic information associated with individuals engaging with specific advertisements.

3. A method as recited in claim 1, further comprising:

identifying individuals purchasing an advertised product as a result of an advertisement; and

obtaining additional information about interests of the identified individuals.

4. A method as recited in claim 1, the seed data associated with a likely advertisement audience includes at least one of interests, keywords, and demographic information.

5. A method as recited in claim 1, the generating of sets of interests and demographic clusters includes applying the seed data to at least one social media web site.

6. A method as recited in claim 4, the applying of the seed data to at least one social media web site includes identifying a plurality of social media relationships.

7. A method as recited in claim 1, the generating of sets of interests and demographic clusters includes applying the seed data to a plurality of social media web sites and normalizing the results from the plurality of social media web sites.

8. A method as recited in claim 1, the identified interests including social media interests.

9. A method as recited in claim 1, the identified interests including at least one of favorite television shows, favorite sports, and favorite hobbies.

10. A method as recited in claim 1, the identified interests including bounce rates associated with individuals who respond to specific advertisements.

11. A method as recited in claim 1, the identifying of interests includes identifying final conversions into a sale by individuals who respond to specific advertisements.

12. A method as recited in claim 1, further comprising identifying typical search terms used by the likely advertisement audience for use in targeting future advertisements.

13. A method as recited in claim 1, further comprising determining social media usage patterns associated with the likely advertisement audience for use in targeting future advertisements.

14. An apparatus comprising:

a memory to store data associated with a plurality of individuals; and

one or more processors coupled to the memory, the one or more processors configured to;

generate seed data associated with a likely advertisement audience;

generate sets of interests based on the seed data;

launch an advertisement campaign based on the sets of interests;

divide the sets of interests into smaller clusters based on advertisement campaign results, the smaller clusters associated with specific targeting of advertisements; and

identify interests associated with individuals engaging with specific advertisements.

15. The apparatus of claim 14, the one or more processors further configured to identify demographic information associated with individuals engaging with specific advertisements.

16. A method comprising:

defining an audience having a plurality of users, wherein the users are associated with at least one online social media service;

identifying online social behavior associated with the plurality of users in the audience based on interaction of the plurality of users with the at least one social media service; and

determining, using one or more processors, audience insights for the audience based on the identified online social behavior.

17. The method of claim 16, the determining audience insights including identifying user interests associated with the plurality of users in the audience.

18. The method of claim 16, the determining audience insights including identifying at least one social engagement activity associated with the plurality of users in the audience.

19. The method of claim 16, the determining audience insights including identifying common demographic characteristics across the audience.

20. The method of claim 16, further comprising generating an advertisement campaign based on the audience insights.