CRITICAL MASS BILLBOARD

• US 20090197616A1
• Filed: 01/28/2009
• Published: 08/06/2009
• Est. Priority Date: 02/01/2008
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: MANDYAM, Giridhar D., LEWIS, Robert C.
• Application Number:
  US12/361,423
• Publication Number:
  US 20090197616A1
• Time in Patent Office: Days
• US Class Current: 455/456.1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0212 Chance discounts or incentives
• CPC Class Codes: H04M 2207/18 wireless networks
• CPC Class Codes: H04M 2242/30 Determination of the location of a subscriber
• CPC Class Codes: H04M 3/4878 Advertisement messages

Abstract

A public advertisement display (e.g., billboard) is dynamically adjusted for advertising content in response to characterizing a viewing population. At least a subset of the viewing population carries a wireless networked device that can be associated with a user'"'"'s identity as well as a location of the user. A user profile is developed based on behavior, collected demographic data, web browsing through other devices, etc. Advertising campaigns have royalty values based on the number of viewers of a particular characterization. Optimization of the royalty is dynamically determined based on determining a number of viewers and a characterization of at least a portion of the viewers. A targeted advertising campaign of reach-frequency-time per viewer can be satisfied at least in part by tracking these views for identified users. A marketplace platform depersonalizes tracking and royalty reports to advertisers to protect the users and encourage their participation in the tracking.

Claims

1. A method for distributing advertisement content, comprising:

characterizing a plurality of users of a plurality of mobile communication devices;

sensing a subset of the plurality of users as a viewing population being proximate to a dynamic advertisement display based upon a location value of the corresponding mobile communication device; and

selecting an advertisement for displaying on the dynamic advertisement display that is based on the characterization of the subset of users.

2. The method of claim 1, further comprising determining a location value by receiving location data detected by a location sensing device incorporated into the mobile communication device.

3. The method of claim 1, further comprising determining a location value by receiving location data from a network node in communication with the mobile communication device.

4. The method of claim 3, further comprising determining a location value using a short range detector.

5. The method of claim 4, further comprising determining a location value using a radio frequency identification (RFID) system.

6. The method of claim 3, further comprising determining a location value using a digital cellular network.

7. The method of claim 3, further comprising determining a location value using a wireless data packet network access point having a coverage area approximating a viewing area for the dynamic advertising display.

8. The method of claim 1, further comprising quantifying additional anonymous viewers of the viewing population of the dynamic advertisement display by motion sensing.

9. The method of claim 1, further comprising quantifying additional anonymous viewers of the viewing population of the dynamic advertisement display by image recognition of viewers in proximity to the dynamic advertisement display.

10. The method of claim 1, further comprising selecting the advertisement by optimizing royalty revenue wherein each advertisement is associated with a royalty metric based upon a quantity of viewers characterized within a predetermined category.

11. The method of claim 10, further comprising optimizing royalty revenue wherein at least one advertisement is further associated with a royalty metric based upon a quantity of anonymous viewers.

12. At least one processor for distributing advertisement content, comprising:

a module for characterizing a plurality of users of a plurality of mobile communication devices;

a module for sensing a subset of the plurality of users as a viewing population being proximate to a dynamic advertisement display based upon a location value of the corresponding mobile communication device; and

a module for selecting an advertisement for displaying on the dynamic advertisement display that is based on the characterization of the subset of users.

13. A computer program product for distributing advertisement content, comprising:

a computer program product, comprising;

at least one instruction for causing a computer to characterize a plurality of users of a plurality of mobile communication devices;

at least one instruction for causing a computer to sense a subset of the plurality of users as a viewing population being proximate to a dynamic advertisement display based upon a location value of the corresponding mobile communication device; and

at least one instruction for causing a computer to select an advertisement for displaying on the dynamic advertisement display that is based on the characterization of the subset of users.

14. An apparatus for distributing advertisement content, comprising:

means for characterizing a plurality of users of a plurality of mobile communication devices;

means for sensing a subset of the plurality of users as a viewing population being proximate to a dynamic advertisement display based upon a location value of the corresponding mobile communication device; and

means for selecting an advertisement for displaying on the dynamic advertisement display that is based on the characterization of the subset of users.

15. An apparatus for distributing advertisement content, comprising:

a marketplace platform for characterizing a plurality of users of a plurality of mobile communication devices;

a location sensing component for sensing a subset of the plurality of users as a viewing population being proximate to a dynamic advertisement display based upon a location value of the corresponding mobile communication device; and

a revenue optimization component for selecting an advertisement for displaying on the dynamic advertisement display that is based on the characterization of the subset of users.

16. The apparatus of claim 15, further comprising a location sensing device incorporated into at least one of the plurality of the mobile communication device for determining the location value for communicating to the location sensing component.

17. The apparatus of claim 15, further comprising a network node in communication with at least one of the plurality of mobile communication devices for determining the respective location value.

18. The apparatus of claim 15, further comprising a short range detector for determining a location value.

19. The apparatus of claim 18, further comprising a radio frequency identification (RFID) system for determining a location value of the mobile communication device.

20. The apparatus of claim 17, further comprising a digital cellular network for determining a location value of the mobile communication device.

21. The apparatus of claim 17, further comprising a wireless data packet access point having a coverage area approximating a viewing area for the dynamic advertising display for determining the location value.

22. The apparatus of claim 15, further comprising a motion sensor for quantifying additional anonymous viewers of the viewing population of the dynamic advertisement display by motion sensing.

23. The apparatus of claim 15, further comprising an image recognition component proximate to the dynamic advertising display for quantifying additional anonymous viewers of the viewing population.

24. The apparatus of claim 15, further comprising the royalty optimization component for selecting the advertisement by optimizing royalty revenue wherein each advertisement is associated with a royalty metric based upon a quantity of viewers characterized within a predetermined category.

25. The apparatus of claim 23, further comprising the royalty optimization component for selecting the advertisement wherein at least one advertisement is further associated with a royalty metric based upon a quantity of anonymous viewers.