Method and system for simulating the distribution of targeted advertising

• US 20020194062A1
• Filed: 04/19/2001
• Published: 12/19/2002
• Est. Priority Date: 04/19/2001
• Status: Abandoned Application

• Current Assignee: Ericsson, Inc. (Telefonaktiebolaget LM Ericsson)
• Original Assignee: Ericsson, Inc. (Telefonaktiebolaget LM Ericsson)
• Inventors: Linde, Leif
• Application Number:
  US09/838,397
• Publication Number:
  US 20020194062A1
• Time in Patent Office: Days
• US Class Current: 705/14.52
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0258 Registration
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04L 67/53 using third party service providers
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

The present invention provides an Internet based service that enables retailers to create and distribute wireless promotions to customer groups based on specific profile criteria. These promotions are distributed to all types of wireless and mobile devices, as well as the Internet. This Internet service also has the ability to track the reception and acceptance of the promotion from the end user, and providing the retailers with the ability to monitor the promotion activity to determine if is has been received and executed. The present invention provides a method, computer program and system for simulating the distribution of a promotion that includes accessing target subscriber information for the promotion, selecting one or more subscribers to receive the promotion based on the target subscriber information and subscriber information associated with each subscriber, calculating one or more statistics regarding the selected subscribers, and providing the one or more statistics to a user.

Claims

1. A method for simulating the distribution of a promotion comprising the steps of:

accessing target subscriber information for the promotion;

selecting one or more subscribers to receive the promotion based on the target subscriber information and subscriber information associated with each subscriber;

calculating one or more statistics regarding the selected subscribers; and

providing the one or more statistics to a user.

2. The method as recited in claim 1 wherein the target subscriber information comprises one or more target preference categories and a target interest level associated with each target preference category.

3. The method as recited in claim 1 wherein the subscriber information comprises one or more preference categories and a subscriber interest level associated with each preference category.

4. The method as recited in claim 1 wherein the target subscriber information comprises target non-sensitive demographic information.

5. The method as recited in claim 1 wherein the subscriber information comprises non-sensitive demographic information about the subscriber.

6. The method as recited in claim 1 further comprising the step of estimating a success rate for the promotion based on historical data and the one or more statistics.

7. The method as recited in claim 1 wherein the step of selecting one or more subscribers comprising the steps of:

retrieving the subscriber information for the subscriber; and

selecting the subscriber when a comparison of the target subscriber information to the subscriber information for the subscriber satisfies one or more rules.

8. The method as recited in claim 1 further comprising the step of modifying the target subscriber information based on the one or more statistics.

9. A computer program embodied on a computer readable medium for simulating the distribution of a promotion comprising:

a code segment for accessing target subscriber information for the promotion;

a code segment for selecting one or more subscribers to receive the promotion based on the target subscriber information and subscriber information associated with each subscriber;

a code segment for calculating one or more statistics regarding the selected subscribers; and

a code segment for providing the one or more statistics to a user.

10. The computer program as recited in claim 9 wherein the target subscriber information comprises one or more target preference categories and a target interest level associated with each target preference category.

11. The computer program as recited in claim 9 wherein the subscriber information comprises one or more preference categories and a subscriber interest level associated with each preference category.

12. The computer program as recited in claim 9 wherein the target subscriber information comprises target non-sensitive demographic information.

13. The computer program as recited in claim 9 wherein the subscriber information comprises non-sensitive demographic information about the subscriber.

14. The computer program as recited in claim 9 further comprising a code segment for estimating a success rate for the promotion based on historical data and the one or more statistics.

15. The computer program as recited in claim 9 wherein the code segment for selecting one or more subscribers comprises:

a code segment for retrieving the subscriber information for the subscriber; and

a code segment for selecting the subscriber when a comparison of the target subscriber information to the subscriber information for the subscriber satisfies one or more rules.

16. The computer program as recited in claim 9 further comprising a code segment for modifying the target subscriber information based on the one or more statistics.

18. The system as recited in claim 17 wherein the target subscriber information comprises one or more target preference categories and a target interest level associated with each target preference category.

19. The system as recited in claim 17 wherein the subscriber information comprises one or more preference categories and a subscriber interest level associated with each preference category.

20. The system as recited in claim 17 wherein the target subscriber information comprises target non-sensitive demographic information.

21. The system as recited in claim 17 wherein the subscriber information comprises non-sensitive demographic information about the subscriber.

22. The system as recited in claim 17 wherein the subscriber selector receives a request to simulate distribution of the promotion and retrieves the promotion and the target subscriber information.

23. The system as recited in claim 17 wherein the subscriber selector retrieves the subscriber information for the subscriber and selects the subscriber when a comparison of the target subscriber information to the subscriber information for the subscriber satisfies one or more rules.

17. A system for simulating the distribution of a promotion comprising:

a subscriber selector that selects one or more subscribers to receive the promotion based on target subscriber information associated with the promotion and subscriber information associated with each subscriber, calculating one or more statistics regarding the selected subscribers and providing the one or more statistics to a user;

a first database communicably connected to the subscriber selector, the first database storing the target subscriber information; and

a second database communicably connected to the subscriber selector, the second database storing the subscriber information.