System and method for verified monetization of commercial campaigns

• US 10,223,701 B2
• Filed: 08/06/2009
• Issued: 03/05/2019
• Est. Priority Date: 08/06/2009
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: King, Simon P, Davis, Marc Eliot, Higgins, Christopher William
• Primary Examiner(s): Sorkowitz, Daniel M
• Application Number:
  US12/536,892
• Publication Number:
  US 20110035265A1
• Time in Patent Office: 3,498 Days
• Field of Search: 705 1427
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising

Abstract

A system and method for verified monetization. A definition of a commercial campaign is received wherein the definition comprises an identification of an advertiser and an advertisement, at least one trigger condition, at least one monetization condition, at least one verification policy, and at least one monetization action, wherein trigger conditions relate to the occurrence of trigger events, the monetization conditions relate to location data relating to at least one person, verification policies relates to the reliability of the location data, and the monetization actions relates to payments to payees. When an indication of an association between a user and the advertisement is received, the user is associated with the commercial campaign. When the occurrence of trigger events is detected, if the campaigns monetization conditions and verification policies have been satisfied, payees are paid according to the campaign'"'"'s monetization actions.

Claims

1. A method comprising:

assigning, by the computing device, a user to an archetype by;

initially assigning a reliability value of the user to a default value,

accumulating network interactions of the user over a time period,

correlating the network interactions with a sensor measurement,

increasing the reliability value after the time period expires when the network interactions are correlated with the sensor measurement,

decreasing the reliability value after the time period expires when the network interactions are not correlated with the sensor measurement, and

assigning the user to an archetype based on the reliability value;

assigning, by the computing device, a sensor reliability value to a sensor by;

initially assigning a sensor reliability value to a second default value,

accumulating location measurements of the sensor, and

adjusting the sensor reliability value based on a correlation between the location measurements of the sensor and other location measurements;

detecting, by the computing device, the occurrence of a trigger event, the trigger event comprising an action performed by the user that is capable of electronic detection and a level of granularity;

receiving, by the computing device, current location data associated with the user and the sensor based on a current measurement of the sensor or the user;

calculating, by the computing device, a current reliability of the current location data based on the archetype and the sensor reliability value;

determining, by the computing device, that the level of granularity has been satisfied based in part on the location data and based in part on the reliability of the location data; and

transmitting, by the computing device, the current location data to a requesting device if the reliability of the current location satisfies the level of granularity in the request for the location.

2. The method of claim 1, the action performed by the user that is capable of electronic detection comprising a user interface action performed by the user on a website.

3. The method of claim 1, the action performed by the user that is capable of electronic detection comprising the user'"'"'s presence at a location.

4. The method of claim 1, the action performed by the user that is capable of electronic detection comprising the co-location of the user with at least a second person.

5. The method of claim 1, the action performed by the user that is capable of electronic detection comprising a purchase of at least one item.

6. The method of claim 1, the action performed by the user that is capable of electronic detection comprising the user'"'"'s attendance at an event.

7. The method of claim 1, the trigger event comprising a passage of a time interval after a user interface action performed by the user on a website.

8. The method of claim 1, the trigger event comprising receipt by the user of a targeted advertisement.

9. The method of claim 1, the trigger event comprising redemption by the user of a targeted advertisement.

10. The method of claim 1, the level of granularity relating to the reliability of location data relating to the at least two persons, a purpose of the level of granularity comprising verifying that the co-location of the at least two persons has at least a threshold level of reliability.

11. The method of claim 1, the determining step comprising:

formulating, by the computing device, a location verification request;

submitting, by the computing device over the network, the location verification request to a verified presence system;

receiving, by the computing device over the network, a response to the location verification request.

12. A system comprising:

a verified monetization engine executed by the processor programmed to execute software code retrieved from the non-transitory computer readable storage medium storing software for

assigning a user to an archetype by initially assigning a reliability value of the user to a default value, accumulating network interactions of the user over a time period, correlating the network interactions with a sensor measurement, increasing the reliability value after the time period expires when the network interactions are correlated with the sensor measurement, decreasing the reliability value after the time period expires when the network interactions are not correlated with the sensor measurement, and assigning the user to an archetype based on the reliability value, and

assigning a sensor reliability value to a sensor by initially assigning a sensor reliability value to a second default value, accumulating location measurements of the sensor, and adjusting the sensor reliability value based on a correlation between the location measurements of the sensor and other location measurements;

a campaign tracking manager executed by the processor programmed to execute software code retrieved from the non-transitory computer readable storage medium storing software for

detecting the occurrence of a trigger event, the trigger event comprising an action performed by the user that is capable of electronic detection and a level of granularity;

receiving current location data associated with the user and the sensor based on a current measurement of the sensor or the user,

calculating a current reliability of the current location data based on the archetype and the sensor reliability value,

determining that the level of granularity has been satisfied, based in part on the location data and based in part on the reliability of the location data; and

a monetization manager executed by the processor programmed to execute software code retrieved from the non-transitory computer readable storage medium storing software for transmitting the current location data to a requesting device if the reliability of the current location satisfies the level of granularity in the request for the location.

13. The system of claim 12, the level of granularity relating to the reliability of location data relating to the two persons, a purpose of the level of granularity comprising verifying that the co-location of the two persons has a threshold level of reliability.

14. The system of claim 12, the campaign tracking manager further programmed to execute software code retrieved from the non-transitory computer readable storage medium storing software for

formulating location verification requests,

submitting, over the network, the location verification requests to a verified presence system, and

receiving, over the network, responses to the location verification requests.

15. A non-transitory computer-readable storage medium having computer-executable instructions for execution by a processor of a computing device, the instructions for a method comprising the steps of:

assigning, by the computing a device, a user to an archetype by;

initially assigning a reliability value of the user to a default value,

accumulating network interactions of the user over a time period,

correlating the network interactions with a sensor measurement,

increasing the reliability value after the time period expires when the network interactions are correlated with the sensor measurement,

decreasing the reliability value after the time period expires when the network interactions are not correlated with the sensor measurement, and

assigning the user to an archetype based on the reliability value;

assigning, by the computing device, a sensor reliability value to a sensor by;

initially assigning a sensor reliability value to a second default value,

accumulating location measurements of the sensor, and

adjusting the sensor reliability value based on a correlation between the location measurements of the sensor and other location measurements;

detecting, by the computing device, the occurrence of a trigger event, the trigger event comprising an action performed by the user that is capable of electronic detection and a level of granularity;

receiving, by the computing device, current location data associated with the user and the sensor based on a current measurement of the sensor or the user;

calculating, by the computing device, a current reliability of the current location data based the archetype and the sensor reliability value;

determining, by the computing device, that the level of granularity has been satisfied based in part on the location data and based in part on the reliability of the location data; and

transmitting, by the computing device, the current location data to a requesting device if the reliability of the current location satisfies the level of granularity in the request for the location.

16. The non-transitory computer-readable storage medium of claim 15, in the level of granularity relating to the reliability of location data relating to the two persons, the purpose of the level of granularity comprising verifying that the co-location of the two persons has at least a threshold level of reliability.

17. The non-transitory computer-readable storage medium of claim 15, the determining step comprising:

formulating, by the computing device, a location verification request;

submitting, by the computing device over the network, the location verification request to a verified presence system;

receiving, by the computing device over the network, a response to the location verification request.