MONETIZING A SOCIAL NETWORK PLATFORM

• US 20090222322A1
• Filed: 06/27/2008
• Published: 09/03/2009
• Est. Priority Date: 03/02/2008
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Jain, Kamal, Mirrokni, Seyed Vahab, Borgs, Christian Herwarth, Chayes, Jennifer Tour, Andersen, Reid Marlow
• Application Number:
  US12/163,247
• Publication Number:
  US 20090222322A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system and/or methodology that exploits user interaction within a social network in order to derive profits. The invention provides for increased flow of money through a social network, and simultaneously allows advertisers and merchants to focus their advertising spending within the social network. Additionally, the invention provides for quantitative measurement of the effects of relational proximity marketing /advertising (RPM), and creates incentives for users to purchase goods through the social network.

Claims

1. A monetization system, comprising:

a relational proximity marketing component that associates with a user'"'"'s profile, wherein the relational proximity component obtains data regarding at least one good the user has purchased, the data including the identity of the good; and

a quantifier component that measures the relational proximity of the user to at least one subsequent purchaser of the good.

2. The system of claim 1, the quantifier component provides quantitative measurement data of the relational proximity of the user to at least one subsequent purchaser of the good.

3. The system of claim 2, wherein a reward is issued to the user based at least in part on the measurement data.

4. The system of claim 1, wherein the quantifier component measures the relational proximity of the user and the subsequent purchaser based at least in part on at least one of:

a random walk model, or a degree of separation model.

5. The system of claim 1, the relational proximity marketing component including a display component that exhibits on the user'"'"'s profile at least one of:

a good the user has purchased, or a good the user is using.

6. The system of claim 5, wherein the display component includes at least one of:

a user rating, or user review.

7. The system of claim 1, the good includes at least one of a client side application, a physical good, or a digital good.

8. The system of claim 1, wherein at least one of the relational proximity marketing component, or quantifier component is bundled with a mobile device.

9. The system of claim 1, further comprising an artificial intellingence component that facilitates automating at least one feature of the system.

10. A method for monetizing social networks, comprising:

obtaining marketing data regarding at least one good the user has purchased or is using, the data including at least the identity of the good;

associating the marketing data with a user'"'"'s profile; and

quantifying a relational proximity of the user to at least one subsequent purchaser of the good.

11. The method of claim 10, further comprising displaying the good on the user'"'"'s profile.

12. The method of claim 11, further comprising displaying at least one of:

a user rating, or user review.

13. The method of claim 11, further comprising displaying the good on the user profile only to associated users.

14. The method of claim 11, wherein the user has purchased the good through the social network.

15. The method of claim 10, further comprising issuing a reward to the user.

16. The method of claim 10, further comprising issuing the reward based at least in part on the quantitative proximity of the user to at least one subsequent purchaser of a good.

17. A computer readable medium having stored thereon the components of the system of claim 10.

18. The system of claim 10, further comprising automating at least one of the steps of claim 10 via artificial intelligence.

19. A system for monetizing social networks, comprising;

means for enabling a user to participate in a relational proximity marketing system;

means for obtaining marketing data regarding at least one good the user has purchased or is using, the data including at least the identity of the good;

means for associating the marketing data with a user'"'"'s profile;

means for displaying at least part of the marketing data on the user'"'"'s profile; and

means for quantifying a relational proximity of the user to at least one subsequent purchaser of the good.

20. The system of claim 19, further comprising means for issuing the user a reward based at least in part on the proximity of the user to at least one subsequent purchaser of a good.