This work investigates the limitations of traditional demographic and psychographic metrics in predicting modern consumer purchasing behavior. The author, Ken Green, utilizes his background in market research to challenge established industry standards for data collection. He proposes a refined framework that prioritizes behavioral intent and real-time interaction data over static profile modeling. The text argues that shifting the focus from who the consumer is to what the consumer does provides a more accurate predictive model for market success.

The subject matter points to a specialized, technical approach to market analysis that reflects the methodologies prevalent in the mid-1970s. The framing suggests an accessible introduction for business professionals seeking to modernize their data collection strategies during that era.