METHOD AND SYSTEM OF PROVIDING OFFERS BY MESSAGING SERVICES

• US 20110145057A1
• Filed: 12/14/2010
• Published: 06/16/2011
• Est. Priority Date: 12/14/2009
• Status: Abandoned Application

• Current Assignee: ChaCha Search, Inc.
• Original Assignee: ChaCha Search, Inc.
• Inventors: Matheny, Blake R., Friend, Esther M., Jones, Scott A.
• Application Number:
  US12/967,655
• Publication Number:
  US 20110145057A1
• Time in Patent Office: Days
• US Class Current: 705/14.42
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

A system and method for providing coupon targeting delivers a message responsive to a user request and for compensating workers performing diverse tasks assigns point values to various tasks. The response message, which may be an SMS or IM message, includes a list of offers in an order based on a ranking of the offers. A user may select a listed offer and receive information detailing the offer and redemption information. Redemption may be tracked using electronic monitoring. Compensation associated with results from the tasks performed is determined and aggregated over a time interval.

Claims

1. A computer-implemented method for delivering an offer comprising:

receiving a request;

ranking an offer for the request;

presenting an offer to a source of the request based on the ranking and a medium of the request; and

delivering a coupon to the source of the request based on a selection by the source.

2. The computer-implemented method of claim 1, further comprising:

ranking a plurality of offers based on a selection by a human assistant associated with a location and a demographic characteristic of the source of the request.

3. The computer-implemented method of claim 1, further comprising:

receiving the request including an SMS message; and

presenting the offer as an MMS message in an order based on the ranking.

4. The computer-implemented method of claim 1, further comprising:

ranking a plurality of offers based on a number of responses received from the source of the request.

5. The computer-implemented method of claim 1, further comprising:

determining a subject matter of the request;

associating the subject matter with the offer;

providing a predetermined number of offers including the offer to a human assistant; and

receiving a selection by the human assistant.

6. The computer-implemented method of claim 1, further comprising:

ranking the offer based on a bid price associated with the offer;

adjusting the ranking based on a response frequency of the offer; and

composing a message including an identifier of the offer and an identifier of at least a second offer.

7. The computer-implemented method of claim 1, further comprising:

obtaining a location associated with the source of the request;

analyzing a historical query associated with the source of the request; and

ranking the offer based on the query and the location.

8. The computer-implemented method of claim 1, further comprising:

obtaining a profile of the source of the request;

analyzing a response of a plurality of request sources associated with the profile; and

ranking the offer based on the profile.

9. The computer-implemented method of claim 1, further comprising:

associating the offer with an advertiser;

receiving a query history associated with an advertiser;

selecting a subset of the query history associated with a profile;

determining a response frequency associated with the advertiser and the profile; and

ranking the offer based on a response history.

10. The computer-implemented method of claim 1, further comprising:

ranking a plurality of offers based on a selection by a human assistant associated with a location and a demographic characteristic of the source of the request;

receiving the request including an SMS message;

presenting the offer as an MMS message in an order based on the ranking;

ranking the plurality of offers based on a number of responses received from the source of the request;

determining a subject matter of the request;

associating the subject matter with the offer;

providing a predetermined number of offers including the offer to a human assistant;

receiving a selection by the human assistant;

ranking the offer based on a bid price associated with the offer;

adjusting the ranking based on a response frequency of the offer;

composing a message including an identifier of the offer and at least a second offer;

obtaining a profile of the source of the request;

analyzing a response of a plurality of request sources associated with the profile;

ranking the offer based on the profile.

associating the offer with an advertiser;

receiving a query history associated with an advertiser;

selecting a subset of the query history associated with a profile;

determining a response frequency associated with the advertiser and the profile;

ranking the offer based on the response frequency;

selecting a human assistant based on a ranking of the human assistant for the profile; and

adjusting the ranking of the offer based on a choice by the human assistant.

11. A system for delivering offers comprising:

a user system receiving a message including indicators of a plurality of offers and providing a selection of an offer; and

a system server receiving a request for an offer, ranking the plurality of offers, delivering the message, and providing the offer.

12. The system of claim 11 further comprising:

an advertiser system providing an advertisement, the offer, and a bid value associated with the offer; and

a human assistant system performing a task associated with the request, providing a result, selecting a durable activity, and monitoring compensation associated with the task and the durable activity.

13. A persistent computer readable storage medium storing therein a program for causing a computer to execute an operation including delivering a coupon, comprising;

obtaining a query;

ranking a coupon for the query;

displaying information of the coupon to an originator of the query based on the ranking; and

delivering a coupon electronically to the originator of the query based on a selection by the originator.

14. The computer readable medium of claim 13, the operation further comprising:

identifying a task required to respond to the query;

assigning a point value to the task;

crediting a human assistant performing the task with the point value; and

determining compensation for the human assistant based on a summation of points credited to a plurality of human assistants for a predetermined time period.

15. The computer readable medium of claim 13, the operation further comprising:

receiving from an advertiser a bid associated with the coupon;

determining a monetary value based on selection of the coupon; and

compensating a human assistant based on the monetary value associated with the coupon and a point value associated with the query.

16. The computer readable medium of claim 13, the operation further comprising:

providing the query to a human assistant to perform a search;

the human assistant producing a search result for the query; and

awarding a point value to the human assistant when determining that a search result is provided responsive to the query.

17. The computer readable medium of claim 13, the operation further comprising:

crediting a human assistant with a first point value associated with a first task required by the query;

awarding the human assistant with a second point value associated with a second task required by the query; and

determining the first point value and the second point value based on expected effort associated with the first task and the second task.

18. The computer readable medium of claim 13, the operation further comprising:

determining whether the query is associated with a task;

assigning a first point value to the task; and

assigning a second point value to the task when determining that the task is not a durable task.

19. The computer readable medium of claim 13, the operation further comprising:

associating a monetary value with the coupon;

crediting the monetary value to a compensation pool; and

determining compensation of a human assistant responding to the query based on an accrued point value of the human assistant and the compensation pool.

20. The computer readable medium of claim 13, the operation further comprising:

identifying a task required to respond to the query;

assigning a first point value to the task;

crediting a human assistant performing the task with the first point value;

determining compensation for the human assistant based on a summation of points credited to a plurality of human assistants for a predetermined time period;

receiving from an advertiser a bid associated with the coupon;

determining a monetary value based on selection of the coupon;

compensating the human assistant based on the monetary value associated with the coupon and the point value associated with the task;

providing the query to a human searcher to perform a search;

the human searcher producing a search result for the query;

awarding a point value to the human searcher when determining that the search result is provided responsive to the query;

crediting the human assistant with a second point value when determining that a second task is required by the query;

awarding the human assistant with a third point value when determining that a third task is required by the query;

determining the second point value and the third point value based on expected effort associated with the second task and the third task;

determining whether the query is associated with an activity;

assigning a first point value to the activity;

assigning a second point value to the activity when determining that the activity is not a durable task;

associating a monetary value with the coupon;

crediting the monetary value to a compensation pool;

selecting by the human searcher a plurality of durable activities;

crediting the human searcher with a point value associated with the plurality of durable activities when determining that a work product associated with the plurality of durable activities produces revenue;

determining compensation of the human assistant responding to the query based on an accrued point value of the human assistant and the compensation pool.