Methods, systems and apparatus to generate market segmentation data with anonymous location data

• US 9,996,855 B2
• Filed: 02/21/2017
• Issued: 06/12/2018
• Est. Priority Date: 08/25/2010
• Status: Active Grant

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Cochran, Laura, Miller, David R., Stevens, Jeff, Nelson, Mark
• Primary Examiner(s): Neff, Michael
• Application Number:
  US15/438,344
• Publication Number:
  US 20170161788A1
• Time in Patent Office: 476 Days
• Field of Search: 4554561
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Claims

1. A computer-implemented method to deliver tailored advertisements to a mobile device based on a consumer classification segment comprising:

associating, by executing an instruction with a processor, a mobile device with an anonymous identifier to protect privacy of a user of the mobile device;

determining, by executing an instruction with the processor, a first location of interest based on (a) a pattern of location data collected from the mobile device and (b) an application type of an application executing on the mobile device when the location data are collected;

associating, by executing an instruction with the processor, the anonymous identifier with the consumer classification segment based on the first location of interest; and

delivering, by executing an instruction with the processor, one of the tailored advertisements to the mobile device based on the consumer classification segment.

2. The method as defined in claim 1, further including applying a one-way hash to an identifier of the mobile device to produce the anonymous identifier.

3. The method as defined in claim 1, further including translating the first location of interest to form an alternate location of interest associated with the mobile device.

4. The method as defined in claim 1, further including determining a second location of interest, the second location of interest associated with a retailer, and delivering the one of the tailored advertisements associated with the retailer located at the second location of interest.

5. The method as defined in claim 1, further including identifying the pattern of location data based on a threshold number of location data points corresponding to a same location captured at a same time of day.

6. The method as defined in claim 1, further including eliminating a location from consideration as the first location of interest based on the application type.

7. A tangible computer readable medium comprising computer readable instructions that, when executed, cause a processor to, at least:

associate a mobile device with an anonymous identifier to protect privacy of a user of the mobile device;

determine a first location of interest based on (a) a pattern of location data collected from the mobile device and (b) an application type of an application executing on the mobile device when the location data are collected;

associate the anonymous identifier with the consumer classification segment based on the first location of interest; and

deliver a tailored advertisement to the mobile device based on the consumer classification segment.

8. The tangible computer readable medium as defined in claim 7, wherein the instructions, when executed, cause the processor to apply a one-way hash to an identifier of the mobile device to produce the anonymous identifier.

9. The tangible computer readable medium as defined in claim 7, wherein the instructions, when executed, cause the processor to translate the first location of interest to form an alternate location of interest associated with the mobile device.

10. The tangible computer readable medium as defined in claim 9, wherein the instructions, when executed, cause the processor to calculate a centroid location based on addresses within the pattern of location data to translate the first location of interest to form the alternate location of interest associated with the mobile device.

11. The tangible computer readable medium as defined in claim 7, wherein the instructions, when executed, cause the processor to determine a second location of interest, the second location of interest associated with a retailer, and to deliver the one of the tailored advertisements associated with the retailer located at the second location of interest.

12. The tangible computer readable medium as defined in claim 7, wherein the instructions, when executed, cause the processor to identify the pattern of location data based on a threshold number of location data points corresponding to a same location captured at a same time of day.

13. The tangible computer readable medium as defined in claim 7, wherein the instructions, when executed, cause the processor to eliminate a location from consideration as the first location of interest based on the application type.

14. A system to deliver tailored advertisements to a mobile device based on a consumer classification segment comprising:

means for associating the mobile device with an anonymous identifier to protect privacy of a user of the mobile device;

means for determining a first location of interest based on (a) a pattern of location data collected from the mobile device and (b) an application type of an application executing on the mobile device when the location data are collected;

means for associating the anonymous identifier with the consumer classification segment based on the first location of interest; and

means for delivering one of the tailored advertisements to the mobile device based on the consumer classification segment.

15. The system as defined in claim 14, further including means for applying a one-way hash to an identifier of the mobile device to produce the anonymous identifier.

16. The system as defined in claim 14, further including means for translating the first location of interest to form an alternate location of interest associated with the mobile device.

17. The system as defined in claim 16, further including means for calculating a centroid location based on addresses within the pattern of location data to translate the first location of interest to form the alternate location of interest associated with the mobile device.

18. The system as defined in claim 14, further including means for determining a second location of interest, the second location of interest associated with a retailer, and means for delivering the one of the tailored advertisements associated with the retailer located at the second location of interest.

19. The system as defined in claim 14, further including means for identifying the pattern of location data based on a threshold number of location data points corresponding to a same location captured at a same time of day.

20. The system as defined in claim 14, further including means for eliminating a location from consideration as the first location of interest based on the application type.