Systems and methods for targeting consumers attitudinally aligned with determined attitudinal segment definitions

• US 7,835,940 B2
• Filed: 12/19/2008
• Issued: 11/16/2010
• Est. Priority Date: 02/24/2000
• Status: Expired due to Term

• Current Assignee: Twenty-Ten Incorporated
• Original Assignee: Twenty-Ten Incorporated
• Inventors: Kowalchuk, Craig W.
• Primary Examiner(s): Jeanty; Romain
• Application Number:
  US12/340,244
• Publication Number:
  US 20090164308A1
• Time in Patent Office: 697 Days
• Field of Search: 705/10
• US Class Current: 705/7.33
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0204 Market segmentation

Abstract

Disclosed herein are systems and methods for selecting a target group of consumers from a larger group of consumers in a computer database. Thus, for a given brand and marketing objective, the systems and methods provide for identifying the dimensions that define a relevant attitudinal consumer segment (or segments). In addition, the systems and methods select consumers, from an in-house or third party database containing appended variables, who are most attitudinally aligned with the target segment definition(s).

Claims

1. A method, implemented at least in part by a computing device, the method comprising:

with the computing device, receiving attitudinal data associated with a first plurality of consumers;

with the computing device, associating a first subgroup of the first plurality of consumers with a first attitudinal segment based on the received attitudinal data;

with the computing device, determining a first attitudinal segment based score for at least one consumer in the first plurality of consumers, wherein determining the first attitudinal segment based score comprises determining the score based on;

attitudinal data associated with the at least one consumer in the first plurality of consumers; and

at least one attitudinal dimension associated with the first attitudinal segment; and

with the computing device, associating at least one non-attitudinal variable with each consumer in the first plurality of consumers, wherein a value of the at least one non-attitudinal variable associated with a first one of the first plurality of consumers is different from a value of the at least one non-attitudinal variable associated with a second one of the first plurality of consumers.

2. The method of claim 1, wherein associating the subgroup comprises associating the subgroup based on at least one attitudinal dimension associated with the first attitudinal segment.

3. The method of claim 1, further comprising associating a second subgroup of the first plurality of consumers with a second attitudinal segment based on the received attitudinal data.

4. The method of claim 3, wherein associating the consumers associated with the second subgroup comprises associating consumers who are exclusive of the consumers associated with the first subgroup.

5. The method of claim 1, further comprising determining a second attitudinal segment based score for the at least one consumer.

6. The method of claim 1, further comprising determining at least one attitudinal segment based score for each consumer in the first plurality of consumers.

7. The method of claim 1, wherein associating the at least one non-attitudinal variable comprises associating an objective variable.

8. The method of claim 1, further comprising defining at least one attitudinal dimension based on the received attitudinal data.

9. The method of claim 1, further comprising defining the first attitudinal segment based on the received attitudinal data.

10. The method of claim 1, further comprising defining at least one additional attitudinal segment based on the received attitudinal data.

11. The method of claim 1, further comprising:

defining a plurality of attitudinal dimensions based on the received attitudinal data; and

defining a plurality of additional attitudinal segments based on the defined attitudinal dimensions.

12. The method of claim 1, further comprising defining a predetermined number of additional attitudinal segments.

13. The method of claim 1, wherein associating the at least one non-attitudinal variable with each consumer in the first plurality of consumers comprises associating a plurality of non-attitudinal variables with each consumer in the first plurality of consumers.

14. The method of claim 1, further comprising determining a relationship between the following:

the first attitudinal segment based scores for each consumer in the first plurality of consumers; and

the non-attitudinal variables associated with the consumers in the first plurality of consumers.

15. The method of claim 14, wherein determining the relationship comprises performing a regression analysis.

16. The method of claim 1, further comprising utilizing a predictive model to generate a first attitudinal segment based score per consumer for each consumer in a second plurality of consumers.

17. The method of claim 16, further comprising determining a ranking of the first attitudinal segment based scores for the second plurality of consumers.

18. The method of claim 16, further comprising utilizing the predictive model to generate a second attitudinal segment based score per consumer for each consumer in the second plurality of consumers.

19. The method of claim 18, further comprising determining a ranking of the second attitudinal segment based scores for the second plurality of consumers.