METHODS, SYSTEMS AND APPARATUS TO GENERATE MARKET SEGMENTATION DATA WITH ANONYMOUS LOCATION DATA

• US 20150127427A1
• Filed: 01/07/2015
• Published: 05/07/2015
• 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
• Granted Patent: US 9,613,363 B2
• Time in Patent Office: Days
• US Class Current: 705/7.34
• 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 method to determine a consumer classification segment, comprising:

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.

2. A method as defined in claim 1, further comprising presenting an advertisement on the mobile device based on the associated one of the first consumer classification segment or the second consumer classification segment with the mobile device.

3. A method as defined in claim 1, further comprising protecting user privacy by translating the geographic indicators to form alternate geographic indicators associated with the mobile device.

4. A method as defined in claim 3, wherein the geographic indicators exhibit a zip+6 granularity and the alternate geographic indicators exhibit a zip+4 granularity.

5. A method as defined in claim 3, further comprising calculating a centroid location based on addresses within the geographic indicators to translate the geographic indicators.

6. A method as defined in claim 1, wherein the first application is indicative of at least one of a user home location, a user work location, or a user shopping location.

7. A method as defined in claim 1, further comprising pushing an advertisement associated with one of the first consumer classification segments in response to detecting usage of the first application within proximity of a store.

8. A method as defined in claim 1, wherein the geographic indicators comprise global positioning satellite data points from the mobile device.

9. A method as defined in claim 1, wherein the geographic indicators are associated with a potential rating index for zip markets (PRIZM) segmentation model.

10. An apparatus to determine a consumer classification segment, comprising:

a segmentation system to generate a list of consumer classification segments based on geographic indicators associated with a mobile device; and

a segmentation application interface to;

associate 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

associate the mobile device with a second consumer classification segment of the consumer classification segments if the geographic indicators were retrieved while a second application was executed.

11. An apparatus as defined in claim 10, further comprising a segmentation manager to transmit an advertisement to the mobile device based on which of the first consumer classification segment or the second consumer classification segment is associated with the mobile device.

12. An apparatus as defined in claim 10, further comprising a privacy manager to protect user privacy by translating the geographic indicators into alternate geographic indicators associated with the mobile device.

13. An apparatus as defined in claim 12, wherein the geographic indicators have a zip+6 granularity and the alternate geographic indicators have a zip+4 granularity.

14. An apparatus as defined in claim 12, wherein the privacy manager is to calculate a centroid location based on addresses within the geographic indicators to translate the geographic indicators.

15. An apparatus as defined in claim 10, wherein the first application is indicative of at least one of a user home location, a user work location, or a user shopping location.

16. An apparatus as defined in claim 10, further comprising a segmentation manager to push an advertisement associated with the first consumer classification segments in response to detecting execution of the first application within proximity of a store.

17. An apparatus as defined in claim 10, wherein the geographic indicators comprise global positioning satellite data points from the mobile device.

18. An apparatus as defined in claim 10, wherein the geographic indicators are associated with a potential rating index for zip markets (PRIZM) segmentation model.

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

generate a list of consumer classification segments based on geographic indicators associated with a mobile device;

associate 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

associate 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.

20. A tangible computer readable storage medium as defined in claim 19, wherein the instructions further cause the processor to present an advertisement on the mobile device based on the associated one of the first consumer classification segment or the second consumer classification segment with the mobile device.

21. A tangible computer readable storage medium as defined in claim 19, wherein the instructions further cause the processor to protect user privacy by translating of the geographic indicators to form alternate geographic indicators associated with the mobile device.

22. A tangible computer readable storage medium as defined in claim 21, wherein the instructions further cause the processor to associate a zip+6 granularity with the geographic indicators, and associate a zip+4 granularity with the alternate geographic indicators.

23. A tangible computer readable storage medium as defined in claim 21, wherein the instructions further cause the processor to calculate a centroid location based on addresses within the geographic indicators to translate the geographic indicators.

24. A tangible computer readable storage medium as defined in claim 19, wherein the instructions further cause the processor to associate the first application with at least one of a user home location, a user work location, or a user shopping location.

25. A tangible computer readable storage medium as defined in claim 19, wherein the instructions further cause the processor to push an advertisement associated with one of the first consumer classification segments in response to detecting usage of the first application within proximity of a store.