Brand Preference Analysis via Emotional Rational Response Segmentation
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Solution Overview
Problem
Existing methods fail to accurately determine consumer brand preference over networks, as market sales and market share do not directly correspond to consumer preference due to factors like pricing and availability, making it difficult to analyze and improve advertisement plans and brand health.
Innovation Solution
A method and system that present brands to consumers via networks, determining their emotional and rational responses through icons and questions, and analyzing interests from web sites visited, to generate graphs representing average consumer preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If market sales and market share are used to determine brand preference, then data availability is improved, but measurement precision deteriorates because sales data does not directly reflect consumer preference due to pricing and availability factors
Solution Approach 1:
The patent introduces consumer preference surveys and psychological testing as intermediary mechanisms to directly measure consumer sentiment toward brands. These surveys act as mediators between brand exposure and purchase behavior, capturing emotional and rational responses that sales data alone cannot reflect. The system uses these intermediary measurements to correct and refine market share calculations, providing a more accurate picture of true brand preference independent of pricing and availability distortions.
2Ease of operation
If traditional sales-based brand preference measurement is used, then ease of operation is improved, but device complexity increases when attempting to account for multiple influencing factors like pricing and availability
Solution Approach 1:
The patent segments the brand preference measurement process into distinct operational modules: (1) data collection through standardized consumer preference surveys, (2) psychological response assessment using controlled testing protocols, (3) statistical analysis separating emotional from rational responses, and (4) integration with market data to calculate adjusted brand preference. This segmentation allows each component to be operated independently using established methodologies, reducing overall system complexity while improving measurement accuracy.
3Measurement precision
If comprehensive consumer response analysis including emotional and rational responses is implemented, then measurement precision is improved, but loss of time increases due to the complexity of data collection and analysis processes
Solution Approach 1:
The patent implements preliminary consumer preference profiling and psychological baseline assessment before actual brand preference measurement. By pre-characterizing consumers' emotional and rational response patterns, the system can efficiently collect and interpret preference data without requiring lengthy real-time analysis. The preliminary profiles serve as reference frameworks that accelerate subsequent measurement processes while maintaining high precision through standardized comparison protocols.
Data Source
AI summary
A method for determining brand preference of a consumer includes presenting the consumer with a number of brand choices and determining a brand selected by the consumer from the number of brand choices. The method also includes determining an emotional response and a rational response of the consumer to the selected brand. The method may include generating a graph(s) indicative of the brand preference, the emotional responses, and/or the rational responses of the consumer to the selected brand. The graph(s) may be indicative of such preference and/or responses at a point in time or over a period of time. Additionally, the method may include determining the emotional and rational responses of the consumer to non-selected brands of the number of brand choices presented to the consumer.