SYSTEM AND METHOD FOR APPLYING SPATIALLY INDEXED DATA TO DIGITAL ADVERTISING BIDS

• US 20140279053A1
• Filed: 03/14/2013
• Published: 09/18/2014
• Est. Priority Date: 03/14/2013
• Status: Abandoned Application

• Current Assignee: Did-It
• Original Assignee: Did-It
• Inventors: LEE, Kevin
• Application Number:
  US13/829,335
• Publication Number:
  US 20140279053A1
• Time in Patent Office: Days
• US Class Current: 705/14.71
• CPC Class Codes: G06Q 30/0275 Auctions

Abstract

A method for modifying bids on keywords used in targeted advertising including generating by one or more computers a data map made up of data representing spatially sorted information related to attributes of a plurality of users of electronic devices each located at a respective location within a space and used to access electronic media, receiving from a user computer a bid amount on an opportunity to display an advertisement through the electronic media, and automatically adjusting by the one or more computers the bid amount for each location so that display of the advertisement through the electronic media is spatially optimized based on the spatially sorted information provided by the data map.

Claims

1. A method for modifying bids on keywords used in targeted advertising, comprising:

generating by one or more computers a data map made up of data representing spatially sorted information related to attributes of a plurality of users of electronic devices each located at a respective location within a space and used to access electronic media;

receiving from a user computer a bid amount on an opportunity to display an advertisement through the electronic media; and

automatically adjusting by the one or more computers the bid amount for each location so that display of the advertisement through the electronic media is spatially optimized based on the spatially sorted information provided by the data map.

2. The method of claim 1, further comprising the step of providing the adjusted bid amount to the user computer.

3. The method of claim 1, further comprising the step of providing the adjusted bid amount to a media provider that displays the advertisement.

4. The method of claim 1, wherein the electronic media is accessible through the Internet.

5. The method of claim 1, wherein the electronic media is accessible through a set top box.

6. The method of claim 1, wherein the attributes of the plurality of users comprise attributes selected from the group consisting of:

demographic attributes, psychographic attributes and behavioral attributes.

7. The method of claim 1, wherein the information represented by the data map is geospatially sorted.

8. The method of claim 1, wherein the information represented by the data map is spatially sorted based on network addresses within a computer network.

9. The method of claim 1, wherein the spatially sorted information relates to a single temporal coordinate set.

10. The method of claim 1, wherein the step of generating a data map comprises generating the data by searching through the locations and generating the data at each searched location.

11. The method of claim 1, wherein the step of generating a data map comprises generating the data based on an incoming data stream of variables used to generate the data.

12. The method of claim 1, wherein the step of generating a data map comprises:

generating a raw data map by generating a first subset of the data corresponding to the locations within the space where direct measurement of variables used to generate the data is available;

generating a second subset of the data corresponding to the locations within the space where direct measurement of variables used to generate the data is not available by estimating the second subset of the data based on the first subset; and

combining the first subset and the second subset of the data.

13. The method of claim 12, wherein the second subset of the data is estimated using near neighbor averaging of the first subset of the data.

14. The method of claim 12, wherein the second subset of the data is estimated using binary sample cross validation.

15. The method of claim 12, wherein the second subset of the data is estimated using time series estimation.

16. The method of claim 1, wherein the locations are defined based on coordinates within the space.

17. The method of claim 1, wherein the locations are based on ZIP codes, cities, towns, counties, states, countries or combinations thereof.

18. The method of claim 1, wherein the step of adjusting comprises:

determining a multiplier at each location based on the data map; and

for each location, applying the respective multiplier to the bid amount.

19. The method of claim 18, wherein the step of adjusting further comprises, for each location, modifying the bid amount so as to obtain a desired average placement position for the advertisement at the location.

20. The method of claim 1, wherein the step of adjusting comprises:

for each location, modifying the bid amount so as to obtain a desired average placement position for the advertisement at the location based on the average placement position of the bid amount prior to adjustment.

21. A system for modifying bids on keywords used in targeted advertising, comprising:

a memory unit;

one or more processors; and

a computer-readable storage medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform a method comprising;

generating by one or more computers a data map made up of data representing spatially sorted information related to attributes of a plurality of users of electronic devices each located at a respective location within a space and used to access electronic media;

receiving from a user computer a bid amount on an opportunity to display an advertisement through the electronic media; and

automatically adjusting by the one or more computers the bid amount for each location so that display of the advertisement through the electronic media is spatially optimized based on the spatially sorted information provided by the data map.