Computer System, Methods, Computer Models, and Computer Software for Enhancing a Customer List for a Targeted Marketing Campaign

• US 20110166930A1
• Filed: 01/20/2011
• Published: 07/07/2011
• Est. Priority Date: 03/22/2001
• Status: Abandoned Application

• Current Assignee: Phoenix Marketing International
• Original Assignee: Phoenix Marketing International
• Inventors: DeCotiis, Allen R., Rea, Martha M.
• Application Number:
  US13/010,459
• Publication Number:
  US 20110166930A1
• Time in Patent Office: Days
• US Class Current: 705/14.52
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• 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 30/0254 based on statistics

Abstract

Various computer systems, methods, computer models, and computer software are provided for enhancing a customer list for a targeted marketing campaign. One embodiment is a computer system comprising: a data storage device comprising: a customer list comprising customer information for a plurality of customers; and a survey results database for storing the results of a survey of each of the plurality of customers; a predictive computer model which models a relationship between the customer information and the results of the survey; and a scoring algorithm configured to generate a score for each of the plurality of customers based on the predictive computer model.

Claims

1. A computer system for enhancing a customer list for a targeted marketing campaign, the computer system comprising:

a data storage device comprising;

a customer list comprising customer information for a plurality of customers; and

a survey results database for storing the results of a survey of each of the plurality of customers;

a multivariate statistical computer model which models a relationship between the customer information and the results of the survey; and

a scoring algorithm configured to generate a score for each of the plurality of customers based on the predictive computer model.

2. The computer system of claim 1, wherein the multivariate statistical computer model employs a multivariate statistical technique in which the results of the survey is a dependent variable and the customer information is a predictive variable.

3. The computer system of claim 1, wherein the multivariate statistical computer model defines a predictive equation which is processed by the scoring algorithm.

4. The computer system of claim 1, wherein the customer information comprises credit card use information.

5. The computer system of claim 1, wherein the results of the survey comprises information regarding purchase intent for a particular product.

6. The computer system of claim 1, further comprising a network device configured to interface with a communications network.

7. The computer system of claim 6, wherein the customer list is received from a client via the communications network.

8. The computer system of claim 7, wherein the scores are provided to the client via the communications network.

9. The computer system of claim 6, wherein the survey is administered to the customers via the communications network.

10. The computer system of claim 1, wherein the scores generated by the scoring algorithm indicate at least one of the following:

a propensity to purchase a good or service;

a propensity to exhibit a particular attitude;

a propensity to have a particular consumer behavior; and

a propensity to possess a particular demographic.

11. The computer system of claim 1, wherein the multivariate statistical computer model comprises a plurality of consumer characteristics and a corresponding weight for calculating the score.

12. The computer system of claim 1, wherein the customer list is modified to reflect the scores.

13. The computer system of claim 1, wherein the scores are provided in a sorted list.

14. A method for generating an enhanced customer list for a targeted marketing campaign, the method comprising:

receiving a customer list comprising customer information for a plurality of customers;

surveying each of the plurality of customers based on a market survey to determine survey results;

modeling a relationship between the customer information and the survey results; and

generating a score for each of the plurality of customers based on the predictive computer model.

15. The method of claim 14, wherein the receiving the customer list comprises receiving a data file from a client via a communications network.

16. The method of claim 14, wherein the scores indicate at least one of the following:

a propensity to purchase a good or service;

a propensity to exhibit a particular attitude;

a propensity to have a particular consumer behavior; and

a propensity to possess a particular demographic.

17. The method of claim 14, wherein the surveying each of the plurality of customers occurs via a communications network.

18. The method of claim 17, wherein the customer information comprises credit card use information.

19. A computer system for providing a customer list enhancement service to a plurality of clients via a communications network, the computer system comprising:

a controller for interfacing with a communications network, the controller configured to;

receive a customer list from a client via the communications network, the customer list comprising customer information for a plurality of customers;

administer a survey to each of the plurality of customers via the communications network;

a predictive computer model which models a relationship between the customer information and results of the survey; and

a scoring algorithm configured to generate a score for each of the plurality of customers based on the predictive computer model.

20. The computer system of claim 19, wherein the score comprises a probabilistic indicator of a consumer attribute, and the controller is further configured to provide the scores to the client.