CROSS-PLATFORM AUDIENCE MEASUREMENT WITH PRIVACY PROTECTION

• US 20130035979A1
• Filed: 08/01/2011
• Published: 02/07/2013
• Est. Priority Date: 08/01/2011
• Status: Abandoned Application

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: Arbitron Inc. (MOOD Media Corporation)
• Inventors: Tenbrock, Michael
• Application Number:
  US13/195,399
• Publication Number:
  US 20130035979A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Systems and methods for performing market research studies using techniques for maximizing privacy for persons. Exposure data relating to television, radio, outdoor advertising, digital signage, newspapers and magazines, retail store visits, interne usage and panelists'"'"' beliefs and opinions relating to consumer products and services are received along with facial image data that is secured to allow only partial reproduction of the image data and/or otherwise minimize further identification of the person beyond a market study identity. Further privacy features are employed to allow for blind participation in a given market study.

Claims

1. A computer-implemented method for processing data in a tangible medium for a market study for a person having a market study identity, comprising the steps of:

receiving exposure data comprising data relating to a person'"'"'s exposure to media in a plurality of different mediums during a period of the market study;

receiving transaction data comprising data relating to one or more commercial transactions attributed to the person during the period of the market study;

receiving image identification data comprising image data of the person, wherein the image data is received in a secure format that (i) prevents full reproduction of the image data or (ii) minimizing further identification of the person beyond the market study identity; and

correlating the exposure data, transaction data and image identification data to determine correlations between exposure to media and transactions attributed to the person.

2. The computer-implemented method of claim 1, wherein the plurality of different mediums of exposure data comprises at least two of television, radio, outdoor advertising, digital signage, newspapers and magazines, retail store visits, internet usage and panelists'"'"' beliefs and opinions relating to consumer products and services.

3. The computer-implemented method of claim 1, wherein the transaction data comprises at least one of credit card data, debit card data, shopper card data, telephone number, email address, home address and identification number.

4. The computer-implemented method of claim 1, where in the transaction data comprises data relating to a time in which the transaction data was generated compared to a time in which the image data was generated.

5. The computer-implemented method in claim 1, wherein the secure format for the image data comprises bit-scrambling a predetermined portion of the image data.

6. The computer-implemented method according to claim 5, wherein the bit-scrambling is formed by pseudo-random scrambling initialized by an encrypted seed value, wherein the encrypted seed value is inserted into the image data.

7. The computer-implemented method according to claim 1, further comprising the step of forming demographic data from the image identification data, said demographic data being formed by comparing the image identification data to one of (i) pre-stored image identification data relating to the panelist, and (ii) pre-stored image identification data relating to one or more demographic image characteristics relating to a census dataset.

8. The computer-implemented method according to claim 7, wherein the step of comparing image identification data comprises the comparison of coefficients extracted from the received image identification data to coefficients extracted from one of (i) pre-stored image identification data relating to the panelist, and (ii) pre-stored image identification data relating to one or more demographic image characteristics relating to a census dataset.

9. The computer-implemented method according to claim 1, wherein one or more of the exposure data and transaction data is formatted such that further identification of the person beyond the market study identity is minimized.

10. A computing system for processing data in a tangible medium for a market study for a person having a market study identity, comprising:

a processing apparatus;

a memory, operatively coupled to the processing apparatus; and

a communications input for (i) receiving exposure data comprising data relating to a person'"'"'s exposure to media in a plurality of different mediums during a period of the market study, (ii) receiving transaction data comprising data relating to one or more commercial transactions attributed to the person during the period of the market study, and (iii) receiving image identification data comprising image data of the person, wherein the image data is received in a secure format that (a) prevents full reproduction of the image data or (b) minimizing further identification of the person beyond the market study identity;

wherein the processing apparatus correlates the exposure data, transaction data and image identification data to determine correlations between exposure to media and transactions attributed to the person.

11. The computing system of claim 10, wherein the plurality of different mediums of exposure data comprises at least two of television, radio, outdoor advertising, digital signage, newspapers and magazines, retail store visits, internet usage and panelists'"'"' beliefs and opinions relating to consumer products and services.

12. The computing system of claim 10, wherein the transaction data comprises at least one of credit card data, debit card data, shopper card data, telephone number, email address, home address and identification number.

13. The computing system of claim 10, where in the transaction data comprises data relating to a time in which the transaction data was generated compared to a time in which the image data was generated.

14. The computing system in claim 10, wherein the secure format for the image data comprises bit-scrambling a predetermined portion of the image data.

15. The computing system according to claim 14, wherein the bit-scrambling is formed by pseudo-random scrambling initialized by an encrypted seed value, wherein the encrypted seed value is inserted into the image data.

16. The computing system according to claim 10, wherein the processing apparatus generates demographic data from the image identification data, said demographic data being formed by comparing the image identification data to one of (i) pre-stored image identification data relating to the panelist, and (ii) pre-stored image identification data relating to one or more demographic image characteristics relating to a census dataset.

17. The computing system according to claim 16, wherein the comparing of image identification data by the processing apparatus comprises the comparison of coefficients extracted from the received image identification data to coefficients extracted from one of (i) pre-stored image identification data relating to the panelist, and (ii) pre-stored image identification data relating to one or more demographic image characteristics relating to a census dataset.

18. The computing system according to claim 10, wherein one or more of the exposure data, transaction data and image identification data is formatted such that further identification of the person beyond the market study identity is minimized.

19. A computer-implemented method for processing data in a tangible medium for a market study for a person having a market study identity, comprising the steps of:

receiving exposure data comprising data relating to a person'"'"'s exposure to media in a plurality of different mediums during a period of the market study, said mediums comprising television, radio, outdoor advertising, digital signage, newspapers and magazines, retail store visits, internet usage and panelists'"'"' beliefs and opinions relating to consumer products and services;

receiving transaction data comprising data relating to one or more transactions attributed to the person during the period of the market study;

receiving image identification data comprising image data of the person, wherein the image data is received in a secure format that (i) allows only partial reproduction of the image data or (ii) minimizes further identification of the person beyond the market study identity;

confirming the market study identity of the person using the image identification data; and

correlating the exposure data, transaction data and image identification data to determine correlations between exposure to media and transactions attributed to the market study identity of the person.

20. The computer-implemented method of claim 19, wherein the secure format for the image data comprises bit-scrambling a predetermined portion of the image data.