Targeted online marketing

• US 7,617,122 B2
• Filed: 08/28/2002
• Issued: 11/10/2009
• Est. Priority Date: 08/28/2002
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Srivastava, Biplav, Nanavati, Amit Anil, Kumar, Manoj, Modani, Natwar, Mittal, Parul A
• Primary Examiner(s): Alvarez; Raquel
• Application Number:
  US10/230,910
• Publication Number:
  US 20040044565A1
• Time in Patent Office: 2,631 Days
• Field of Search: 705/10, 705/14, 705/26
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0239 Online discounts or incentives
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0259 based on store location
• CPC Class Codes: G06Q 30/0263 based upon Internet or website rating
• CPC Class Codes: G06Q 30/0271 Personalized advertisement

Abstract

Selecting one or more marketing messages for optimal display at marketing locations in a marketing environment is performed on the basis of information relating to a user to whom the messages are to be displayed, the marketing messages, and the marketing locations. Dynamic selection and display of marketing messages in this manner can be advantageously performed for online environments for which relevant information is readily accessed and used as a basis for selection and display of marketing messages.

Claims

1. A computer-implemented method of advantageously using web marketing space by determining a marketing element that is shown in web marketing spots to a user, said method comprising:

inputting, to a computer, user information, said user information comprising current session attributes,

wherein said current session attributes comprise any of shopping cart contents, web marketing spots visited in a current session, products viewed in said current session, and responses to marketing elements shown in said current session;

inputting, to said computer, web marketing spot information, said web marketing spot information comprising locations of each of a plurality of web marketing spots on a containing page of said web marketing space;

inputting, to said computer, marketing element information, said marketing element information comprising marketing elements including any of an advertisement, a discount, a cross-sell recommendation, an up-sell recommendation, and a coupon,

wherein each one of said plurality of web marketing spots contains one marketing element;

inputting, to said computer, a merchant'"'"'s marketing objective information, said merchant'"'"'s marketing objective information comprising a merchant'"'"'s marketing objective including one of profit from a purchase, gain in market share, an increase in product awareness, and time taken to compute a solution;

computing, by said computer, for each possible location of each of said marketing elements in said plurality of web marketing spots, a merchant gain, according to said merchant'"'"'s marketing objective, from showing said each possible location of each of said marketing elements to said user in said current user session, said computing being based on probabilities derived from said current session attributes of said user and said merchant'"'"'s marketing objective; and

outputting, by said computer, an advantageous marketing element for each of said plurality of web marketing spots in said current user session, which maximizes said merchant gain, based on said probabilities derived from said current session attributes of said user and said merchant'"'"'s marketing objective.

2. The method as claimed in claim 1,

wherein said user information further comprises past transaction attributes and demographic attributes, and

wherein said past transaction attributes comprise any of products or product categories purchased, response to advertisements, cross-sales and up-sales, coupon acceptance and redemption record, response to discounts, navigation paths, and other web marketing spots visited.

3. The method as claimed in claim 1,

wherein said web marketing spot information further comprises any of content of said containing page, type of containing page, and probability of said user visiting said containing page,

wherein said content comprises any of terms of products or product categories, and

wherein said type comprises any of a catalog page, a login page, a shopping cart page, and an order process page.

4. The method as claimed in claim 1, wherein said marketing elements are characterized as one of advertised, recommended, or discounted products or product categories.

5. The method as claimed in claim 1, wherein said coupon is characterized by a validity period, a discount type and amount, and redemption terms.

6. The method as claimed in claim 1, wherein said marketing elements further comprise a subset of marketing elements to display in a set of web marketing spots for said user in said current user session, and said computing and said outputting relates to said subset of marketing elements.

7. A computer system that advantageously uses web marketing space by determining a marketing element that is shown in web marketing spots to a user, the system comprising:

a memory that stores;

user information, said user information comprising current session attributes,

wherein said current user attributes comprise any of shopping contents, web marketing spots visited in a current session, products viewed in said current session, and responses to marketing elements shown in said current session;

web marketing spot information, said web marketing spot information locations of each of a plurality of web marketing spots on a containing page of said marketing space;

marketing element information, said marketing element information comprising marketing elements including any of an advertisement, a discount, a cross-sell recommendation, an up-sell recommendation, and a coupon,

wherein each one of said plurality of web marketing spots contains one marketing element; and

a merchant'"'"'s marketing objective information, said merchant'"'"'s marketing objective information comprising a merchant'"'"'s marketing objective including one of profit from a purchase, gain in market share, an increase in product awareness, and time taken to compute a solution; and

a processor configured to;

compute, for each possible location of each of said marketing elements in said plurality of web marketing spots, a merchant gain, according to said merchant'"'"'s marketing objective, from showing said each possible location of each of said marketing elements to said user in said current user session, said computing being based on probabilities derived from said current session attributes of said user and said merchant'"'"'s marketing objective; and

output an advantageous marketing element for each of said plurality of web marketing spots in said current user session, which maximizes said merchant gain, based on said probabilities derived from said current session attributes of said user and said merchant'"'"'s marketing objective.

8. The system as claimed in claim 7,

wherein said user information further comprises past transaction attributes and demographic attributes, and

wherein said past transaction attributes comprise any of products or product categories purchased, response to advertisements, cross-sales and up-sales, coupon acceptance and redemption record, response to discounts, navigation paths, and other web marketing spots visited.

9. The system as claimed in claim 7,

wherein said web marketing spot information further comprises any of content of said containing page, type of containing page, and probability of said user visiting said containing page,

wherein said content comprises any of terms of products or product categories, and

wherein said type comprises any of a catalog page, a login page, a shopping cart page, and an order process page.

10. The system as claimed in claim 7, wherein said marketing elements are characterized as one of advertised, recommended, or discounted products or product categories.

11. The system as claimed in claim 7, wherein said coupon is characterized by a validity period, a discount type and amount, and redemption terms.

12. The system as claimed in claim 7, wherein said marketing elements further comprise a subset of marketing elements to display in a set of web marketing spots for said user in said current user session, and said computing and said outputting relates to said subset of marketing elements.

13. A computer program storage medium readable by a computer, tangibly embodying a program of instructions executable by said computer to perform a method of advantageously using web marketing space by determining a marketing element that is shown in web marketing spots to a user, said method comprising:

inputting user information, said user information comprising current session attributes,

wherein said current session attributes comprise any of shopping cart contents, web marketing spots visited in a current session, products viewed in said current session, and responses to marketing elements shown in said current session;

inputting web marketing spot information, said web marketing spot information comprising locations of each of a plurality of web marketing spots on a containing page of said web marketing space;

inputting marketing element information, said marketing element information comprising marketing elements including any of an advertisement, a discount, a cross-sell recommendation, an up-sell recommendation, and a coupon,

wherein each one of said plurality of web marketing spots contains one marketing element;

inputting a merchant'"'"'s marketing objective information, said merchant'"'"'s marketing objective information comprising a merchant'"'"'s marketing objective including one of profit from a purchase, gain in market share, an increase in product awareness, and time taken to compute a solution;

computing, for each possible location of each of said marketing elements in said plurality of web marketing spots, a merchant gain, according to said merchant'"'"'s marketing objective, from showing said each possible location of each of said marketing elements to said user in said current user session, said computing being based on probabilities derived from said current session attributes of said user and said merchant'"'"'s marketing objective; and

outputting an advantageous marketing element for each of said plurality of web marketing spots in said current user session, which maximizes said merchant gain, based on said probabilities derived from said current session attributes of said user and said merchant'"'"'s marketing objective.

14. The computer program storage medium as claimed in claim 13,

wherein said user information further comprises past transaction attributes and demographic attributes, and

wherein said past transaction attributes comprise any of products or product categories purchased, response to advertisements, cross-sales and up-sales, coupon acceptance and redemption record, response to discounts, navigation paths, and other web marketing spots visited.

15. The computer program storage medium as claimed in claim 13,

wherein said web marketing spot information further comprises any of content of said containing page, type of containing page, and probability of said user visiting said containing page,

wherein said content comprises any of terms of products or product categories, and

wherein said type comprises any of a catalog page, a login page, a shopping cart page, and an order process page.

16. The computer program storage medium as claimed in claim 13, wherein said coupon is characterized by a validity period, a discount type and amount, and redemption terms.

17. The computer program storage medium as claimed in claim 13, wherein said marketing elements further comprise a subset of marketing elements to display in a set of web marketing spots for said user in said current user session, and said computing and said outputting relates to said subset of marketing elements.