Methods and apparatus for integrating volumetric sales data, media consumption information, and geographic-demographic data to target advertisements

• US 8,688,516 B2
• Filed: 03/14/2011
• Issued: 04/01/2014
• Est. Priority Date: 03/15/2010
• Status: Active Grant

• Current Assignee: Nielsen Consumer LLC (Nielsen Holdings plc)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Shimizu, Jerome, Miller, Ryan Chase, Georgiev, Georgi Y., Wu, Jingyi
• Primary Examiner(s): Singh, Gurkanwaljit
• Application Number:
  US13/047,541
• Publication Number:
  US 20120053991A1
• Time in Patent Office: 1,114 Days
• Field of Search: None
• US Class Current: 705/14.27
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 30/0254 based on statistics

Abstract

A disclosed example method involves generating a geographic-based consumption index for a product based on a first per-person sales volume of the product in a first cell of a plurality of geographic cells of a larger geographic area. The example method also involves generating a demographic-based consumption index for the product based on a second per-person sales volume of the product for a demographic group in the first cell. An advertisement to present to a person is selected based on an online web interest, a geographic location, and a demographic of the person and further based on the geographic-based consumption index and the demographic-based consumption index.

Claims

1. A method, comprising:

generating a geographic-based consumption index for a product in a first cell of a plurality of geographic cells of a larger geographic area based on dividing a first per-person local average sales volume of the product corresponding to the first cell by a second per-person average sales volume of the product corresponding to the larger geographic area;

generating a demographic-based consumption index for the product based on a sales volume of the product for a demographic group in the first cell;

generating a consumer affinity model via a hardware processor based on panel member information and non-panelist information, the panel member information indicative of panelist off-line purchases, panelist on-line activity, panelist geographic locations, and demographics of the panel members, the non-panelist information associated with the geographic-based consumption index and the demographic-based consumption index and generated independent of monitoring activities of the panel members; and

using the consumer affinity model to select an advertisement to present on a computer of a person based on an online web interest, a geographic location, and a demographic of the person and further based on the geographic-based consumption index and the demographic-based consumption index.

2. A method as defined in claim 1, wherein the first per-person local average sales volume and the sales volume of the product for the demographic group in the first cell are based on volumetric sales for a retailer located in the first cell.

3. A method as defined in claim 1, further comprising generating a geographic-demographic consumption index for the product based on the geographic-based consumption index for the product and the demographic-based consumption index for the product.

4. A method as defined in claim 3, wherein selecting the advertisement based on the geographic-based consumption index and the demographic-based consumption index comprises selecting the advertisement for presentation to the person based on the geographic-demographic consumption index.

5. A method as defined in claim 1, wherein the panel members are members of a panel maintained and monitored by a market research entity for the express purpose of market research.

6. A method as defined in claim 1, wherein the person associated with the computer is not one of the panel members.

7. A method as defined in claim 1, wherein the advertisement is selected for presentation to the person in real-time while the person is accessing a web page, the advertisement to be presented via the web page or a second web page related to the web page.

8. An apparatus, comprising:

a processor; and

a memory having instructions stored thereon that, when executed, cause the processor to;

generate a geographic-based consumption index for a product in a first cell of a plurality of geographic cells of a larger geographic area based on dividing a first per-person local average sales volume of the product corresponding to the first cell by a second per-person average sales volume of the product corresponding to the larger geographic area;

generate a demographic-based consumption index for the product based on a sales volume of the product for a demographic group in the first cell;

generate a consumer affinity model based on panel member information and non-panelist information, the panel member information indicative of panelist off-line purchases, panelist on-line activity, panelist geographic locations, and demographics of the panel members, the non-panelist information associated with the geographic-based consumption index and the demographic-based consumption index and generated independent of monitoring activities of the panel members; and

use the consumer affinity model to select an advertisement to present on a computer of a person based on an online web interest, a geographic location, and a demographic of the person and further based on the geographic-based consumption index and the demographic-based consumption index.

9. An apparatus as defined in claim 8, wherein the first per-person local average sales volume and the sales volume of the product for the demographic group in the first cell are based on volumetric sales for a retailer located in the first cell.

10. An apparatus as defined in claim 8, wherein the instructions, when executed, cause the processor to generate a geographic-demographic consumption index for the product based on the geographic-based consumption index for the product and the demographic-based consumption index for the product.

11. An apparatus as defined in claim 10, wherein selecting the advertisement based on the geographic-based consumption index and the demographic-based consumption index comprises selecting the advertisement for presentation to the person based on the geographic-demographic consumption index.

12. An apparatus as defined in claim 8, wherein the panel members are members of a panel maintained and monitored by a market research entity for the express purpose of market research.

13. An apparatus as defined in claim 8, wherein the person associated with the computer is not one of the panel members.

14. An apparatus as defined in claim 8, wherein the instructions, when executed, cause the processor to select the advertisement in real-time while the person is accessing a web page, the advertisement to be presented via the web page or a second web page related to the web page.

15. A tangible machine readable storage medium comprising instructions that, when executed, cause a machine to at least:

generate a geographic-demographic consumption index for a product based on a geographic-based consumption index for the product and a demographic-based consumption index for the product, the geographic-based consumption index for the product corresponding to a first cell of a plurality of geographic cells of a larger geographic area, the geographic-based consumption index being based on dividing a first per-person local average sales volume of the product corresponding to the first cell by a second per-person average sales volume of the product corresponding to the larger geographic area, the demographic-based consumption index for the product being based on a sales volume of the product for a demographic group in the first cell;

generate a consumer affinity model based on panel member information and non-panelist information, the panel member information indicative of panelist off-line purchases, panelist on-line activity, panelist geographic locations, and demographics of the panel members, the non-panelist information associated with the geographic-based consumption index and the demographic-based consumption index and generated independent of monitoring activities of the panel members; and

use the consumer affinity model to select an advertisement to present on a computer of a person based on an online web interest, a geographic location, and a demographic of the person and based on the geographic-demographic consumption index for the product.

16. A machine readable medium as defined in claim 15, wherein the first per-person local average sales volume and the sales volume of the product for the demographic group in the first cell are based on volumetric sales for a retailer located in the first cell.

17. A machine readable medium as defined in claim 15 having instructions stored thereon that, when executed, cause the machine to generate a geographic-demographic consumption index for the product based on the geographic-based consumption index for the product and the demographic-based consumption index for the product.

18. A machine readable medium as defined in claim 17 having instructions stored thereon that, when executed, cause the machine to select the advertisement based on the geographic-based consumption index and the demographic-based consumption index by selecting the advertisement for presentation to the person based on the geographic-demographic consumption index.

19. A machine readable medium as defined in claim 15, wherein the panel members are members of a panel maintained and monitored by a market research entity for the express purpose of market research.

20. A machine readable medium as defined in claim 15, wherein the person associated with the computer is not one of the panel members.

21. A machine readable medium as defined in claim 15 having instructions stored thereon that, when executed, cause the machine to select the advertisement in real-time while the person is accessing a web page, the advertisement to be presented via the web page or a second web page related to the web page.