MARKETING SYSTEM AND METHODS IN AUTOMATED TRADING CONTEXT

• US 20070244772A1
• Filed: 04/11/2007
• Published: 10/18/2007
• Est. Priority Date: 04/14/2006
• Status: Abandoned Application

• Current Assignee: Swap.com, Inc.
• Original Assignee: Swap.com, Inc.
• Inventors: Boesel, Greg
• Application Number:
  US11/733,828
• Publication Number:
  US 20070244772A1
• Time in Patent Office: Days
• US Class Current: 705/27
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]

Abstract

A marketing system and method for use with an automated trading system are provided. A set of databases is configured to store data representing a plurality of users, the data including a set of interest information and a set of user information comprising data representing a set of tradable items. A set of ads is available from at least one of a marketing database and a set of ad sources. And ads from the set of ads are directed to the plurality of users, wherein ads directed to a user are chosen based on interest information associated with the user.

Claims

1. A marketing system for use with an automated trading system, the marketing system comprising:

a set of databases configured to store data representing a plurality of users, the data including a set of interest information and a set of user information comprising data representing a set of tradable items;

a set of ads from at least one of a marketing database and a set of ad sources; and

a marketing module configured to direct an ad from the set of ads to a user from the plurality of users, wherein the ad directed to the user is based on interest information associated with the user.

2. A system as in claim 1, wherein the interest information includes information input by the user.

3. A system as in claim 1, wherein the interest information includes information related to at least one tradable item associated with the user.

4. A system as in claim 3, wherein the tradable item includes an item on at least one of a have list and a want list associated with the user.

5. A system as in claim 1, wherein the interest information includes information related to a trade history of the user.

6. A system as in claim 1, wherein the ad is directed via at least one of a Web page, an e-mail, a postal service, a text message, and a telephone call.

7. A system as in claim 1, wherein the ad includes at least one of an e-mail ad, a text message ad, an automated telephone ad, and an ad presented in relation to a Web page.

8. A system as in claim 7, wherein the ad presented in relation to the Web page includes at least one of a pop-up ad, a banner ad, and a sidebar ad.

9. A system as in claim 1, wherein the marketing module includes a prediction module configured to predict interest information associated with the user based on the user information.

10. A system as in claim 1, wherein the user information includes demographic information.

11. A system as in claim 1, wherein the user information includes information associated with at least one of a have list, a want list, and a trade history.

12. A computer program code storable on a computer readable medium and executable by at least one processor configured to perform a method comprising:

storing data representing a plurality of users, wherein the data includes a set of interest information and a set of user information comprising data representing a set of tradable items;

providing a set of ads from at least one of a marketing database and a set of ad sources; and

directing an ad from the set of ads to a user from the plurality of users, wherein the ad directed to a user is based on interest information associated with the user.

13. A computer program code as in claim 12, wherein the method includes inputting at least some of the interest information by the user.

14. A computer program code as in claim 12, wherein the interest information includes information related to a tradable item associated with the user.

15. A computer program code as in claim 14, wherein the tradable item includes an item on at least one of a have list and a want list associated with the user.

16. A computer program code as in claim 12, wherein the interest information includes information related to a trade history of the user.

17. A computer program code as in claim 12, wherein the method includes directing the ad via at least one of a Web page, an e-mail, a postal service, a text message, and a telephone call.

18. A computer program code as in claim 12, wherein the method includes providing the ad as at least one of an e-mail ad, a text message ad, an automated telephone ad, and an ad presented in relation to a Web page.

19. A computer program code as in claim 18, wherein the ad presented in relation to the Web page includes at least one of a pop-up ad, a banner ad, and a sidebar ad.

20. A computer program code as in claim 12, wherein the method includes determining at least some of the interest information associated with the user by applying a prediction algorithm based on at least some of the user information.

21. A computer program code as in claim 12, wherein the user information includes demographic information.

22. A computer program code as in claim 12, wherein the user information includes information associated with at least one of a have list, a want list, and a trade history.

23. A method of marketing in connection with an automated trading system, the method comprising:

storing data representing a plurality of users, wherein the data includes a set of interest information and a set of user information comprising data representing a set of tradable items;

providing a set of ads from at least one of a marketing database and a set of ad sources; and

directing an ad from the set of ads to a user from the plurality of users, wherein the ad directed to the user is based on interest information associated with the user.

24. A method as in claim 23, wherein the method includes inputting at least some of the interest information by the user.

25. A method as in claim 23, wherein the interest information includes information related to a tradable item associated with the user.

26. A method as in claim 25, wherein the tradable item includes an item on at least one of a have list and a want list associated with the user.

27. A method as in claim 23, wherein the interest information includes information related to a trade history of the user.

28. A method as in claim 23, wherein the method includes directing the ad via at least one of a Web page, an e-mail, a postal service, a text message, and a telephone call.

29. A method as in claim 23, wherein the method includes providing the ad as at least one of an e-mail ad, a text message ad, an automated telephone ad, and an ad presented in relation to a Web page.

30. A method as in claim 29, wherein the ad presented in relation to the Web page includes at least one of a pop-up ad, a banner ad, and a sidebar ad.

31. A method as in claim 23, wherein the method includes determining at least some of the interest information associated with the user by applying a prediction algorithm based on at least some of the user information.

32. A method as in claim 23, wherein the user information includes demographic information.

33. A method as in claim 23, wherein the user information includes information associated with at least one of a have list, a want list, and a trade history.

34. An automated trading and marketing system comprising:

a data storage system configured to store data representing a plurality of users, the data including a set of interest information and a set of user information comprising data representing a set of tradable items, wherein the set of tradable items includes a set of have items and a set of want items;

a trade module configured to determine a trade among at least two users selected from the plurality of users, wherein the trade is determined based on at least one have item from the set of have items and at least one want item from the set of want items of the at least two users; and

a marketing module configured to direct an ad to a user from the plurality of users based on an interest of the user, wherein the interest is determined based on at least one of a have item from the set of have items and a want item from the set of want items associated with the user.