Abstract: A method. The method includes receiving, at a computing device, data associated with a first plurality of consumers. The data comprises a combination of behavioral data and attitudinal data. The method also includes assigning a consumer of the first plurality of consumers to a first respective segments based on the received data, wherein the assigning is performed by the computing device. The method further includes calculating a goodness-of-fit score for the consumer of the first plurality of consumers for the first segment, wherein the calculating is performed by the computing device. Additionally, the method includes calculating a predicted goodness-of-fit score for a consumer of a second plurality of consumers for the first segment, the second plurality of consumers including at least the first plurality of consumers, wherein the calculating is performed by the computing device.

Abstract: A method. The method includes receiving, at a computing device, data associated with a first plurality of consumers. The method also includes assigning a consumer of the first plurality of consumers to a first respective segments based on the received data, wherein the assigning is performed by the computing device. The method further includes calculating a goodness-of-fit score for the consumer of the first plurality of consumers for the first segment, wherein the calculating is performed by the computing device. Additionally, the method includes calculating a predicted goodness-of-fit score for a consumer of a second plurality of consumers for the first segment, the second plurality of consumers including at least the first plurality of consumers, wherein the calculating is performed by the computing device. The method further includes screening at least some of the second plurality of consumers, wherein the screening is performed by the computing device.

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).

Abstract: The invention provides a method or system for selecting a target group of most profitable consumers of a product or service from a group of consumers contained in a database. The invention involves selecting from the database a sub-group of consumers to whom a series of questions is posed. The invention then calculates a statistical relationship between the behavioral variables of each consumer and the variables contained in the database of the consumers. One then identifies variables contained in the database that are predictive of consumer profitability based on the strength of the statistical relationship. The invention then creates a mathematical algorithm that assigns a profitability score to each consumer. The invention then permits one to select from the database of scored consumers a target group of consumers that are most likely to be profitable targets for direct marketing.