Behavior-Based Online Deal Transactions

• US 20130091001A1
• Filed: 04/02/2012
• Published: 04/11/2013
• Est. Priority Date: 10/26/2010
• Status: Abandoned Application

• Current Assignee: Monetate, Inc. (StartApp, Inc.)
• Original Assignee: Baynote Incorporated (StartApp, Inc.)
• Inventors: Brave, Scott Brenner, JIA, JACK
• Application Number:
  US13/437,809
• Publication Number:
  US 20130091001A1
• Time in Patent Office: Days
• US Class Current: 705/14.25
• CPC Class Codes: G06Q 30/0224 based on user history

Abstract

A system and method are provided for offering product deals to users based on the online behavior and other information of groups of users. This information associated with multiple users within groups and individuals having common interests in products to be purchased online and information associated with a finite set of data elements in the computer application are analyzed to determine a configuration of the data elements such that user access to relevant information and shopping deals is improved. In some embodiments, deals are offered to “swarms” of individuals with common interest and are made active upon acceptance of the deal by a minimum number of buyers. Deals may be automatically generated based on parameters defined by a vendor.

Claims

1. A method for behavior based marketing comprising:

evaluating, by a server computer, shopping activity of a plurality of users;

identifying, by the server computer, a swarm of users from the plurality of users, the swarm of users having at least one similar interest;

generating, by the server computer, a deal corresponding to the at least one similar interest; and

initiating, by the server computer, transmission of the deal to each user of the swarm of users.

2. The method of claim 1, further comprising:

receiving, by the server computer, acceptances of the deal from one or more accepting users of the swarm of users; and

processing, by the server computer, the acceptances.

3. The method of claim 2, wherein the deal defines a minimum acceptance number and purchase terms;

and

wherein processing the acceptances further comprises;

evaluating, by the server computer, the number of acceptances with respect to the minimum acceptance number;

initiating, by the server computer, a purchase for each acceptance according to the purchase terms only if the number of acceptances are at least a large as the minimum acceptance number.

4. The method of claim 3, wherein the deal defines an acceptance window;

and

wherein processing the acceptances further comprises;

evaluating, by the server computer, the a receipt date of each acceptance with respect to the acceptance window; and

initiating, by the server computer, the purchase according to the purchase terms for each acceptance received within the acceptance window only if the number of acceptances received within the acceptance window is at least as large as the minimum acceptance number.

5. The method of claim 3, wherein the acceptances each have payment information associated therewith;

and

wherein initiating, by the server computer, a purchase according to the purchase terms for each acceptance further comprises processing payment using the payment information for the acceptance.

6. The method of claim 2, wherein processing the acceptances further comprises:

identifying a first to accept of the one or more accepting users; and

assigning an additional discount to the first to accept user.

7. The method of claim 2, further comprising:

receiving, by the server computer, one or more endorsements of a in-need user of the one or more accepting users; and

assigning, by the server computer, an additional discount to the in-need user according to the one or more endorsements.

8. The method of claim 1, wherein identifying, by the server computer, the swarm of users from the plurality of users further comprises:

receiving, by the server computer, specification of a qualifying activity;

detecting, by the server computer, the qualifying activity among the shopping activity by a user of the plurality of users; and

associating, by the server computer, the user with the swarm upon detecting the qualifying activity.

9. The method of claim 8, wherein the qualifying activity includes one or more of, viewing a specified document, browsing a specified uniform resource locator (URL);

and typing a specified term.

10. The method of claim 1, wherein generating, by the server computer, the deal corresponding to the at least one similar interest further comprises:

automatically selecting, by the server computer, a product from a product selection associated with a vendor according to the at least one similar interest; and

generating, by the server, deal terms according to deal generation parameters associated with the vendor.

11. The method of claim 10, wherein the deal parameters include one or more of:

a minimum number of buyers, a maximum number of buyers, a time window, a discount amount, a discount percentage, a minimum margin, a minimum value, and a maximum value.

12. The method of claim 1, wherein the shopping activity includes shopping activity reported to the server computer from a vendor computer.

13. The method of claim 12, wherein shopping activity includes one or more of browsing, searching, and purchasing.

14. The method of claim 1, further comprising:

assigning, by the server computer, points to users of the plurality of users according to the shopping activity; and

assigning a discount to one or more of the plurality of users according to the assigned points.

15. The method of claim 14, further comprising transmitting for display on a user computer a ranking of a portion of the plurality of users according to assigned points.

16. The method of claim 1, further comprising:

assigning, by the server computer, an expertise area to one or more expert users of the plurality of users according to shopping activity of the one or more expert users; and

facilitating, by the server computer, communication by a novice user of the plurality of users with an expert user of the one more expert users upon detection of an area of interest of the novice user corresponding to the expertise area of the expert user.

23. The system of claim 2, wherein the operational and executable data are further operable to cause the processor to:

receive one or more endorsements of a in-need user of the one or more accepting users; and

assign an additional discount to the in-need user according to the one or more endorsements.

17. A system for behavioral marketing comprising:

a server comprising a processor for executing executable data and process operational data and a memory operably coupled to the processor and storing operational and executable data operable to cause the processor to;

evaluate shopping activity for a plurality of users;

identify a swarm of users from the plurality of users, the swarm of users having at least one similar interest;

generate a deal corresponding to the at least one similar interest; and

initiate transmission of the deal to each user of the swarm of users.

18. The system of claim 17, wherein the operational and executable data are further operable to cause the processor to:

receive acceptances of the deal from one or more accepting users of the swarm of users; and

process the acceptances.

19. The system of claim 18, wherein the deal defines a minimum acceptance number and purchase terms;

and

wherein the operational and executable data are further operable to cause the processor to process the acceptance by;

evaluating the number of acceptances with respect to the minimum acceptance number; and

initiating a purchase for each acceptance according to the purchase terms only if the number of acceptances are at least a large as the minimum acceptance number.

20. The system of claim 19, wherein the deal defines an acceptance window;

and

wherein the operational and executable data are further operable to cause the processor to process the acceptance by;

evaluating the a receipt date of each acceptance with respect to the acceptance window; and

initiating the purchase according to the purchase terms for each acceptance received within the acceptance window only if the number of acceptances received within the acceptance window is at least as large as the minimum acceptance number.

21. The system of claim 19, wherein the acceptances each have payment information associated therewith;

and

wherein the operational and executable data are further operable to cause the processor to process the acceptance by initiating the purchase according to the purchase terms for each acceptance further comprises processing payment using the payment information for the acceptance.

22. The system of claim 18, wherein the operational and executable data are further operable to cause the processor to process the acceptance by identifying a first to accept of the one or more accepting users and assigning an additional discount to the first to accept user.

24. The system of claim 17, wherein the operational and executable data are further operable to cause the processor to identify the swarm of users from the plurality of users by:

receiving a specification of a qualifying activity;

detecting the qualifying activity among the shopping activity by a user of the plurality of users; and

associating the user with the swarm upon detecting the qualifying activity.

25. The system of claim 24, wherein the qualifying activity includes one or more of, viewing a specified document, browsing a specified uniform resource locator (URL);

and typing a specified term.

26. The system of claim 17, wherein the operational and executable data are further operable to cause the processor to generate the deal corresponding to the at least one similar interest by:

automatically selecting a product from a product selection associated with a vendor according to the at least one similar interest; and

generating deal terms according to deal generation parameters associated with the vendor.

27. The system of claim 26, wherein the deal parameters include one or more of:

a minimum number of buyers, a maximum number of buyers, a time window, a discount amount, a discount percentage, a minimum margin, a minimum value, and a maximum value.

28. The system of claim 17, wherein the shopping activity includes shopping activity reported to the server computer from a vendor computer in data communication with the server computer.

29. The system of claim 28, wherein shopping activity includes one or more of browsing, searching, and purchasing.

30. The system of claim 17, wherein the operational and executable data are further operable to cause the processor to:

assign points to users of the plurality of users according to the shopping activity; and

assign a discount to one or more of the plurality of users according to the assigned points.

31. The system of claim 30, wherein the operational and executable data are further operable to transmit for display on a user computer a ranking of a portion of the plurality of users according to assigned points.

32. The system of claim 17, wherein the operational and executable data are further operable to:

assign an expertise area to one or more expert users of the plurality of users according to shopping activity of the one or more expert users; and

facilitate communication by a novice user of the plurality of users with an expert user of the one more expert users upon detection of an area of interest of the novice user corresponding to the expertise area of the expert user.