Internet advertising method and system

• US 20070250390A1
• Filed: 04/23/2007
• Published: 10/25/2007
• Est. Priority Date: 04/24/2006
• Status: Abandoned Application

• Current Assignee: Advanced Commerce Strategies, Inc.
• Original Assignee: Advanced Commerce Strategies, Inc.
• Inventors: Lee, Antony H., Cucalon, Camilo E.
• Application Number:
  US11/788,895
• Publication Number:
  US 20070250390A1
• Time in Patent Office: Days
• US Class Current: 705/14.510
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0253 During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

In an Internet or online advertising method, a server computer maintains a an electronic site or page accessible via a computer network and transmits to a user computer accessing the site or page advertisements selected in accordance with buying habits of individual users and independently of content on the site or page. The transmitting of the site or page and the transmitting of the advertisements is such that the advertisements and the sites or pages are simultaneously displayed on user computer monitors. The sites or pages may include Internet search results, the advertisements being independent of or unrelated to the content of displayed search results.

Claims

1. A business method comprising:

automatically determining an identity of an online shopping entity associated with a user computer logged on a computer network;

automatically selecting at least one advertisement in accordance with online purchasing behavior embodied in multiple purchases made over said computer network at a plurality of different Web sites by said online shopping entity; and

transmitting said at least one advertisement to said user computer via said computer network so that said advertisement may be presented in at least one display screen of said user computer simultaneously with primary information transmitted to said user computer via said computer network, said primary information being organized for presentation in said at least one display screen of said user computer,

the selecting of said at least one advertisement being made independently of and separately from said primary information.

2. The method defined in claim 1 wherein said online shopping entity is one online shopping entity among a multiplicity of distinct online shopping entities, the selecting of said at least one advertisement including accessing a database of consumer purchase data including multiple online purchase histories each associated with a respective online shopping entity.

3. The method defined in claim 2 wherein the selecting of said at least one advertisement includes comparing the online purchasing behavior of said one online shopping entity with statistically collated online purchase history information in said database to determine at least one potential product interest.

4. The method defined in claim 2 wherein said consumer purchase data is collected by monitoring online purchases made by said online shopping entities on said computer network.

5. The method defined in claim 4 wherein the monitoring of online purchases includes collecting of particulars as to transactions using screen scraper or data extraction software resident at least in part on multiple online computers.

6. The method defined in claim 4 wherein the monitoring of online purchases includes collecting of particulars as to transactions using email reading software.

7. The method defined in claim 4 wherein the email reading software is resident on a server computer of an Internet service provider.

8. The method defined in claim 1 wherein said primary information is taken from the group consisting of (a) results of a search executed over said computer network in response to a query from said user computer and (b) a Web page accessed by said user computer via said computer network.

9. The method defined in claim 8 wherein said search is a product search for information pertaining to one or more potential product purchases, and wherein said Web page is on a merchant Web site, further comprising transmitting to said user computer additional information taken from the group consisting of merchant popularity information and product popularity information, said additional information being adapted for display simultaneously with said primary information in said display screen.

10. The method defined in claim 9 wherein the transmitting of said additional information includes accessing a database of consumer purchase data including multiple online purchase histories each associated with a respective online shopping entity, said additional information being obtained from a statistical analysis of said consumer purchase data.

11. The method defined in claim 1 wherein said online shopping entity is taken from the group consisting of (a) said user computer and (b) an individual.

12. The method defined in claim 11 wherein determining the identity of said online shopping entity includes communicating with browser plug-in software on said user computer.

13. An online computer method comprising:

storing, in a memory of a user computer, an identity of an online shopping entity;

accessing a computer network via said user computer;

after the accessing of said computer network, transmitting the stored identity over said computer network to a source computer;

receiving, from said source computer via said computer network, at least one advertisement selected in accordance with online purchasing behavior embodied in multiple purchases made over said computer network at a plurality of different Web sites by said online shopping entity;

receiving primary information via said computer network, said primary information being organized for presentation in at least one display screen on said user computer; and

displaying said advertisement on a monitor of said user computer simultaneously with said primary information,

said at least one advertisement being selected independently of and separately from said primary information.

14. The method defined in claim 13 wherein said online shopping entity is one online shopping entity among a multiplicity of online shopping entities, said at least one advertisement is selected in accordance with consumer purchase data stored in a common database, said consumer purchase data including multiple online purchase histories each associated with a respective one of said online shopping entities.

15. The method defined in claim 14 wherein the selection of said at least one advertisement is a result of comparing the online purchasing behavior of said one online shopping entity with statistically collated online purchase history information in said database to determine at least one potential product interest of said online shopping entity.

16. The method defined in claim 13 wherein said primary information is taken from the group consisting of (a) results of a search executed over said computer network in response to a query from said user computer and (b) a Web page accessed by said user computer via said computer network, the accessing of said computer network including a step taken from the group consisting of (i) transmitting a search query to a search engine and (ii) accessing said Web page.

17. The method defined in claim 16 wherein said search is a product search for information pertaining to one or more potential product purchases, and wherein said Web page is on a merchant Web site, further comprising:

receiving additional information taken from the group consisting of merchant popularity information and product popularity information; and

displaying said additional information on said monitor simultaneously with said primary information.

18. The method defined in claim 17 wherein said additional information is obtained from a statistical analysis of said consumer purchase data.

19. A data collection method comprising:

monitoring online activity of a user conducted on a computer network via a respective user computer;

during the monitoring of said online activity, automatically determining whether the user is engaged in online purchase activity;

upon detecting that an individual user has entered into an online transaction, extracting particulars of said transaction from said user computer;

transmitting the particulars of said transaction to a database of consumer purchasing behavior; and

automatically establishing an identity of an online shopping entity associated with said user computer for reference in future online activity performed by said online shopping entity.

20. The method defined in claim 19, further comprising loading screen scraper or data mining software on said user computer and running said software during operation of a browser on said user computer.

21. The method defined in claim 19 wherein the establishing of the identity of said online shopping entity includes extracting said identity from said memory of said user computer.

22. The method defined in claim 19 wherein said online shopping entity is taken from the group consisting of (a) said user computer and (b) an individual.

34. The method defined in claim 19 wherein the establishing of the identity of said online shopping entity includes extracting said identity from said memory of said user computer.

35. The method defined in claim 19 wherein said online shopping entity is taken from the group consisting of (a) said user computer and (b) an individual.

23. A business computer system comprising:

at least one server computer connected to a computer network;

a database of consumer purchase data including identities of multiple online shopping entities and further including multiple online purchase histories each associated with a respective one of said online shopping entities, said multiple online purchase histories each including multiple purchases made over said computer network at a plurality of different Web sites by the respective online shopping entities, said server computer being operatively connected to said database; and

a memory storing advertisements, said server computer being operatively connected to said memory for selecting advertisements for display on a computer monitor associated with a given one of said online shopping entities simultaneously with but independently of other information and in accordance with online purchasing behavior embodied in multiple purchases made over said computer network at a plurality of different Web sites by said given one of said online shopping entities.

24. The system defined in claim 23 wherein said server computer includes means for comparing the online purchasing behavior of said given one of said online shopping entities with statistically collated online purchase history information in said database to determine at least one product potentially purchased by said given one of said online shopping entities.

25. The system defined in claim 23 wherein said server computer includes means for monitoring online purchases made by said online shopping entities on said computer network and for updating said database to incorporate online purchase data.

26. A computer network method comprising:

maintaining a database of consumer purchase data including identities of multiple online shopping entities and further including multiple online purchase histories each associated with a respective one of said onlien shopping entities, said multiple online purchase histories each including multiple purchases made over said computer network at a plurality of different Web sites by the respective online shopping entities;

accessing said database to provide consumer assistance information to a given one of said online shopping entities while same is logged onto said computer network; and

transmitting said consumer assistance information to said given one of said online shopping entities for display on a computer monitor simultaneously with other information transmitted to said given one of said online shopping entities.

27. The method defined in claim 26 wherein said consumer assistance information is taken from the group consisting of advertisements unrelated to said other information, merchant popularity information, merchant reliability data, product popularity information, products related to a product searched by said given one of said online shopping entities, and rewards and free gifts offered to a user of said given one of said online shopping entities.

28. The method defined in claim 27, further comprising automatically determining an identity of said given one of said online shopping entities, said consumer assistance information being selected in accordance with the determined identity of said given one of said online shopping entities.

29. The method defined in claim 28, further comprising:

processing information from the consumer purchase history of said given one of said online shopping entities to determine products potentially purchased by said given one of said online shopping entities;

processing information from the consumer purchase histories of others of said online shopping entities to determine purchasing interests of said others of said online shopping entities; and

comparing the determined purchasing interests of said given one of said online shopping entities with the determined purchasing interests of said others of said online shopping entities to determine at least one product potentially purchased by said given one of said online shopping entities.

30. The method defined in claim 26, further comprising automatically determining an identity of said given one of said online shopping entities, said consumer assistance information being selected in accordance with the determined identity of said given one of said online shopping entities.

31. A business computer system comprising:

at least one server computer connected to a computer network for providing information to user computers via said computer network; and

a database operatively connected to said server computer, said database storing data pertaining to buying habits of individual users determined in accordance with purchases made over said computer network via respective user computers connected to said computer network,

said server computer being programmed to;

transmit said information via said computer network to the user computers in response to queries from the user computers,

determine identities of the user computers,

transmit to each of the user computers a respective advertisement selected in accordance with past online purchases made at multiple different Web sites by on online shopper using at least the respective one of said user computers,

the advertisements being transmitted to the user computers for simultaneous display with the information on user computer monitors,

said advertisements having content independent of and separate from the information.

32. A data collection method comprising:

monitoring email of a user conducted on a computer network via a respective user computer;

during the monitoring of said email, automatically determining whether the email evidences online purchase activity by the user;

upon detecting from the user'"'"'s email that the user has entered into an online transaction, extracting particulars of said transaction from email of the user;

transmitting the particulars of said transaction to a database of consumer purchasing behavior; and

automatically establishing an identity of an online shopping entity associated with said user computer for reference in future online activity performed by said online shopping entity.

33. The method defined in claim 32, wherein the monitoring of the email and the extracting of the transaction particulars includes operating a server computer to execute email reading software.