Method for pricing advertising on the internet

• US 20070271136A1
• Filed: 05/19/2006
• Published: 11/22/2007
• Est. Priority Date: 05/19/2006
• Status: Abandoned Application

• Current Assignee: DW Data, Inc.
• Original Assignee: DW Data, Inc.
• Inventors: Morganstern, Michael, Strauss, Paul
• Application Number:
  US11/438,050
• Publication Number:
  US 20070271136A1
• Time in Patent Office: Days
• US Class Current: 705/14.610
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0264 based upon schedule
• CPC Class Codes: G06Q 30/0272 Period of advertisement exposure
• CPC Class Codes: G06Q 30/0275 Auctions
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

A method for determining a price charged to an advertiser to place a geographically targeted advertisement on an Internet web page or other remote area computer network is disclosed. The method involves the use of multiple databases containing pricing information; audience information, and advertisement information. An advertiser pricing information from a first database, identifies a target audience using information in a second database, defines the characteristics of the advertisement using information in a third database, and calculates a price for the advertisement based on the target audience and the characteristics of the advertisement. A method for allocating the time and day an advertisement appears based on an auction system is also disclosed.

Claims

1. A method for determining a price for an advertiser to place an advertisement on an Internet web page, the method comprised of:

providing a first database containing pricing information;

providing a second database containing audience information;

providing a third database containing advertisement information;

requesting pricing information from the first database;

identifying a target audience using information in the second database;

defining advertisement characteristics using information in the third database; and

calculating a price for the advertisement based on the target audience and the characteristics of the advertisement.

2. The method of claim 1, wherein the first database includes pricing information based on the time of day the advertisement appears on a web page.

3. The method of claim 1, wherein the first database includes pricing information based on a geographical area targeted by the advertisement.

4. The method of claim 3, wherein a center point of the geographical area is identified using a coordinate defined by a latitude and a longitude and a size of the area is defined by a radius extending from the coordinate.

5. The method of claim 4, wherein the pricing information is based on the size of the geographical area.

6. The method of claim 4, wherein the pricing information is based on a number of visitors to a publisher'"'"'s web page.

7. The method of claim 1, wherein the second database includes information on a population of consumers located in a geographic area centered on a coordinate defined by a latitude and a longitude.

8. The method of claim 7, wherein the information on the population of consumers includes population density of the geographic area.

9. The method of claim 7, wherein the information on the population consumers includes data on the days and time of day the population visits a publishers web page or web site.

10. The method of claim 1, wherein the third database includes information on a period of time the advertisement would appear.

11. The method of claim 1, wherein the third database includes information on various styles of advertisement available.

12. The method of claim 1, wherein the third database includes information competing advertisements.

13. The method of claim 12, wherein the information on competing advertisements includes the number of competing advertisements.

14. The method of claim 1 further comprised of:

changing the information received from at least one of the three databases; and

recalculating the price for the advertisement.

15. The method of claim 1 further comprised of collecting billing information from the advertiser.

16. The method of claim 15, wherein the billing information includes advertisement content.

17. The method of claim 15 further comprised of storing the collected billing information in the first database.

18. A method for allocating advertising space on a web page to a plurality of advertisements, the method comprised of:

defining a geographical area in which one of the plurality of advertisement will appear;

selecting at least one day of a week in which one of the plurality of advertisement will appear;

choosing a block of time during the at least one day in which one of the plurality of advertisement will appear;

identifying a maximum price per “

click”

or impression that each one of the plurality of advertisements will pay; and

setting a maximum price value of an advertising campaign in which the advertisement will appear.

19. The method of claim 18, wherein the geographical area is defined by determining a radial distance extending from a geographical center point of the area to a point on an outer boundary of the area.

20. The method of claim 18 further comprising assigning a relevancy quotient to the advertisement, the relevancy quotient being based on a distance a user is from the defined geographical area.

21. The method of claim 20 further comprising increasing the relevancy quotient for advertisements specifically target for a particular day and time.

22. The method of claim 20 further comprising decreasing the relevancy quotient for advertisements not specifically target for a particular day and time.

23. The method of claim 20 further comprising assigning a frequency to each advertisement.

24. The method of claim 23, wherein the frequency quotient is the highest for an advertisement having the highest bid and lowest for an advertisement having the lowest bid.

25. The method of claim 23 further comprising displaying each of the plurality of advertisements in a web browser at pre-determined rotation intervals with each of the plurality of advertisements prioritized firs by a relevancy quotient and second by a frequency quotient.