System and method for verified monetization of commercial campaigns

Patent metadata

Field	Value
Publication number	US-10223701-B2
Application number	US-53689209-A
Country	US
Kind code	B2
Filing date	Aug 6, 2009
Priority date	Aug 6, 2009
Publication date	Mar 5, 2019
Grant date	Mar 5, 2019

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.

First claim

We claim:

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
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Assignees

• King Simon P
• Davis Marc Eliot
• Higgins Christopher William
• Excalibur Ip Llc

Inventors

• King Simon P
• Davis Marc Eliot
• Higgins Christopher William

Classifications

• G06Q30/0246

  Traffic · CPC title

• G06Q30/0211

  Determining the effectiveness of discounts or incentives · CPC title

• G06Q30/0273

  Determination of fees for advertising · CPC title

• G06Q30/02 Primary

  Marketing; Price estimation or determination; Fundraising · CPC title