Location Calendar Targeted Advertisements

• US 20080021728A1
• Filed: 08/15/2007
• Published: 01/24/2008
• Est. Priority Date: 07/02/2004
• Status: Active Grant

• Current Assignee: Denis Khoo
• Original Assignee: Denis Khoo
• Inventors: Khoo, Denis
• Granted Patent: US 8,620,735 B2
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass

Abstract

A method and system is described for targeting advertisements to a targeted travel habit. A targeted travel habit is comprised of a derived travel habit and associated values for any variables relevant to the derived travel habit. A derived travel habit allows targeting an advertisement towards a specific travel habit of a traveler, and utilizes the raw data entered by a traveler into a location calendar system. This raw data includes the traveler'"'"'s home locations and travel plans. Raw data may be for the past, present, or future.

Claims

1. A method of targeting an advertisement, comprising the steps of:

receiving raw data from a traveler;

specifying a targeted travel habit for an advertisement;

associating said advertisement to said targeted travel habit;

matching said targeted travel habit to said traveler; and

displaying said advertisement to said traveler.

2. The method as defined in claim 1, wherein said raw data is comprised of a home location and a travel plan.

3. The method as defined in claim 2, wherein said travel plan is comprised of a travel destination and related transit info.

4. The method as defined in claim 1, wherein said step of receiving raw data from a traveler is for the purpose of populating a location calendar.

5. The method as defined in claim 1, wherein said matching step involves said raw data received from said traveler.

6. The method as defined in claim 1, wherein said matching step involves said raw data received from a related individual of said traveler.

7. The method as defined in claim 1, wherein said targeted travel habit is comprised of a derived travel habit and values for a plurality of variables relevant to said derived travel habit.

8. The method as defined in claim 1, wherein said advertisement is comprised of a title, URL, and description.

9. The method as defined in claim 1, wherein said advertisement is comprised of an image.

10. A targeted advertisement system comprising:

a receiving means for receiving raw data from a traveler;

a first storage means for storing said raw data;

a placement means for placing an advertisement, said advertisement is associated with a targeted travel habit during placement;

a second storage means for storing said advertisement;

a matching means for matching said targeted travel habit with said raw data; and

a display means for displaying said advertisement to said traveler.

11. The system as defined in claim 10, wherein said targeted travel habit is comprised of a derived travel habit and values to a plurality of variables relevant to said derived travel habit.

12. The system as defined in claim 10, wherein said receiving means is an internet browser.

13. The system as defined in claim 10, wherein said placement means is through the use of an internet browser.

14. The system as defined in claim 10, wherein said first storage means is a database.

15. The system as defined in claim 10, wherein said first storage means is a search engine.

16. The system as defined in claim 10, wherein said second storage means is a database.

17. The system as defined in claim 10, wherein said second storage means is a search engine.

18. The system as defined in claim 10, wherein said display means is through the use of an internet browser.

19. The system as defined in claim 10, further comprising a pricing means for adjusting the price based on the properties of said targeted travel habit.

20. The system as defined in claim 10, wherein said raw data is comprised of a home location and a travel plan.