Forward-Looking Promotion Optimization via Segmented Subpopulation Testing
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Solution Overview
Problem
Current promotion optimization methods rely on backward-looking, aggregate historical data, which fails to account for unanticipated events and individual consumer behavior, leading to inefficient promotion strategies and potential long-term negative impacts on brand equity.
Innovation Solution
Implement a forward-looking promotion optimization approach by administering test promotions on purposefully segmented subpopulations to gather actual revealed preferences, allowing for iterative testing and validation of promotion variables, and generating general public promotions based on statistically significant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If backward-looking aggregate historical data is used for promotion optimization, then data collection is simple, but the ability to account for unanticipated events and individual consumer behavior deteriorates
Solution Approach 1:
The patent segments the consumer population into distinct subpopulations based on behavioral characteristics, demographics, or other relevant criteria. This segmentation enables the system to analyze and respond to individual consumer behavior patterns within each segment, rather than treating all consumers as a homogeneous group. The segmentation principle directly addresses the contradiction by maintaining data collection efficiency while gaining granular insights into consumer behavior that were previously lost in aggregate data.
Solution Approach 2:
The patent introduces a new dimension of analysis by moving from backward-looking aggregate data to forward-looking individual-level data. This dimensional shift allows the system to capture unanticipated events and consumer behaviors that cannot be detected in historical aggregate data. The dimensionality change enables simultaneous maintenance of data collection simplicity through automated digital tracking while gaining rich behavioral insights across multiple dimensions including temporal, demographic, and behavioral variables.
2Loss of information
If test promotions are administered on purposefully segmented subpopulations, then consumer behavior insights are improved, but the complexity of the promotion system increases
Solution Approach 1:
The patent applies segmentation to divide the consumer population into manageable subpopulations, which simplifies the complexity of analyzing individual consumer behavior. By segmenting consumers into distinct groups with similar characteristics, the system can apply standardized testing protocols to each segment without having to individually manage every consumer, thus reducing operational complexity while maintaining detailed behavioral insights.
Solution Approach 2:
The patent implements preliminary action by pre-segmenting consumer populations and pre-defining testing protocols before conducting promotion tests. This preliminary preparation work is done once and then reused across multiple testing iterations, reducing the complexity of repeated testing. The system establishes the segmentation framework and testing procedures in advance, allowing for efficient execution of multiple test promotions without proportionally increasing system complexity.
Solution Approach 3:
The patent incorporates feedback mechanisms where results from test promotions on segmented subpopulations are systematically collected and used to refine future promotion strategies. This feedback loop allows the system to learn from each test and improve subsequent decisions, reducing the need for complex manual analysis and decision-making processes. The automated feedback system handles the complexity of interpreting behavioral insights and translating them into actionable promotion strategies.
3Reliability
If iterative testing and validation of promotion variables is performed, then promotion effectiveness is improved, but the time required for promotion implementation increases
Solution Approach 1:
The patent applies preliminary action by conducting iterative testing and validation of promotion variables before full-scale implementation. Test promotions are administered to segmented subpopulations to validate hypotheses and optimize promotion variables in advance. This preliminary testing ensures that when promotions are rolled out to the general public, they have already been validated and optimized, improving effectiveness while minimizing the time loss associated with post-implementation adjustments.
Solution Approach 2:
The patent uses segmentation to enable parallel testing of multiple promotion variables across different consumer subpopulations simultaneously. Rather than testing variables sequentially with the entire population, the system can conduct multiple tests in parallel on different segments, significantly reducing the total time required for iterative validation while maintaining high reliability through comprehensive testing coverage.
Data Source
AI summary
Methods and apparatus for implementing forward looking optimizing promotions by administering, in large numbers and iteratively, test promotions formulated using highly granular test variables on segmented subpopulations, whereby the test promotions are automatically generated. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate a general public promotion.