METHODS, DEVICES AND SYSTEMS FOR PROVIDING SUPERIOR ADVERTISING EFFICIENCY IN A NETWORK

• US 20110093334A1
• Filed: 04/15/2010
• Published: 04/21/2011
• Est. Priority Date: 04/15/2009
• Status: Abandoned Application

• Current Assignee: Raaves, Inc.
• Original Assignee: Raaves, Inc.
• Inventors: Wood, Craig
• Application Number:
  US12/761,176
• Publication Number:
  US 20110093334A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history

Abstract

Provided herein is a system and device comprising at least one database module that is configured to monitor a referral count or an opinion agreement count of at least one user of a network. Also provided herein is a method for advertising a product or service to at least one user of a network comprising targeting the product or service to the user using transformed data derived from the activity of the user. Also provided herein is a method for a user of a network to access content and information stored in a different user'"'"'s database module that is locally stored and/or locally controlled.

Claims

1. A system comprising at least one database module that is configured to monitor a referral count or an opinion agreement count of at least one user of a network.

2. The database module of claim 1 that is further configured to monitor a referral count or an opinion agreement count of at least two users of the network.

3. The database module of claim 2 that is further configured to compare the referral count of a first user with the referral count of a second user.

4. The database module of claim 2 that is further configured to compare the opinion agreement count of a first user with the opinion agreement count of a second user.

5. The database module of claim 2 that is further configured to compare the referral count of a first user with the referral count of all users of the network.

6. The database module of claim 2 that is further configured to compare the opinion agreement count of a first user with the opinion agreement count of all users of the network.

7. The database module of claim 4 that is further configured to transform the referral count of the first user into a referral percentile for that user.

8. The database module of claim 1 that is further configured to transform the opinion agreement count of the first user into an opinion percentile for that user with respect to a different user in the network.

9. The database module of claim 1 that is further configured to transform the opinion agreement count of the first user into an opinion percentile for that user with respect to all other users in the network.

10. The database module of claim 1 that is configured to provide the exchange of items of interest from the local storage of one user of the network to the local storage of a different user of the network.

11. The database module of claim 1 that is configured to monitor an opinion agreement count of at least one user.

12. The database module of claim 2 that is configured to monitor growth of the network.

13. The database module of claim 12 that is configured to transform information pertaining to at least two users of the network into a hierarchical model depicting relationship of the users.

14. The network of claim 1 wherein the network is directed to a common interest shared by its users.

15. A method for advertising a product or service to at least one user of a network of computerized entities comprising targeting the product or service to the user on the basis of transformed data derived from the activity of the user on the network.

16. The method of claim 15 wherein the transformed data is a referral count for the user.

17. The method of claim 15 wherein the transformed data is an opinion agreement count for the user.

18. The method of claim 15 wherein the transformed data is a referral percentile for the user.

19. The method of claim 15 wherein the transformed data is an opinion percentile for the user with respect to a different user in the network.

20. The method of claim 15 wherein the transformed data is an opinion percentile for the user with respect to all other users in the network.