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.

Abstract: A system, method, and article of manufacture are provided for creating a weighted propensity to have a characteristic such as purchase intent utilizing survey research data combined with either external or internal list information. A model is created. A score is then calculated for a plurality of individuals based on the survey information and the model. Such score indicates a propensity to have a particular attitude, behavior or demographic. Further, the model sets forth a plurality of characteristics and a weight of each of the characteristics for calculating the score.

Abstract: A system, method, and article of manufacture are provided for ranking individuals based on a propensity to have a particular attitude, behavior, demographic, or purchase intent. Initially, a model is created. Next, a score is calculated for a plurality of individuals based on the model. Such score indicates a propensity. Further, the individuals may be sorted or ranked based on the score.

Abstract: A system, method, and article of manufacture are afforded for providing a model indicating a propensity of an individual to have a particular attitude, behavior or demographic. Initially, a plurality of individuals are identified. Thereafter, first information is retrieved on each of the individuals. A survey is then conducted to collect second information from each of the individuals. A model is subsequently created which defines a relationship between the first and second information. A score is calculated for each individual based on the first information, the second information, and the model, wherein the score indicates a propensity of the individual to have a particular attitude, behavior or demographic.

Abstract: A system, method, and article of manufacture are afforded for providing a model indicating a propensity of a customer to purchase goods or services. Initially, a plurality of customers are identified. Thereafter, first information is retrieved on each of the customers. A survey is subsequently conducted to collect second information from each of the customers. A model may then be created. A score may then be calculated for each customer based on the first information and the second information, and the model. Such scores indicate a propensity of the customers to purchase goods or services.