Geometric Framework for Marketing Entropy Reduction
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Solution Overview
Problem
Large enterprises face challenges in effectively measuring and reducing marketing entropy, which leads to wasteful and inefficient marketing efforts, making it difficult to achieve personalized customer engagement across vast customer bases.
Innovation Solution
A geometric framework is introduced to model marketing activities as entropy, using a triangle model that represents marketing efforts, effects, and relative returns. This framework allows for the quantitative measurement and reduction of marketing entropy by identifying clusters of customers with similar engagement patterns, enabling informed adjustments to marketing strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional marketing techniques are used to reach and engage customers, then brand awareness and sales can be increased, but marketing costs accumulate excessively and marketing noise becomes overwhelming
Solution Approach 1:
The patent transforms marketing parameters into a geometric framework where marketing activities are represented as points in a multi-dimensional space defined by effort, effect, and return parameters. This allows quantitative measurement and optimization of marketing efficiency by changing how these parameters are visualized and analyzed
Solution Approach 2:
The patent introduces a geometric dimension to marketing analysis by representing marketing activities as points in a multi-dimensional space with axes for effort, effect, and return. This dimensional transformation enables visualization of marketing efficiency patterns that are not apparent in traditional two-dimensional metrics
2Productivity
If traditional marketing techniques are used to reach and engage customers, then sales can be driven, but the volume of marketing noise increases which can alienate consumers
Solution Approach 1:
The patent implements feedback mechanisms by continuously measuring marketing effectiveness through geometric analysis of effort, effect, and return parameters. This feedback loop enables real-time optimization of marketing strategies to reduce noise while maintaining effectiveness
Solution Approach 2:
The patent segments the marketing population into distinct geometric regions based on their engagement patterns and responses to marketing efforts. This segmentation allows targeted marketing to high-value segments while reducing or eliminating noise in segments with negative responses
3Adaptability or versatility
If personalization is attempted across vast customer bases, then customer engagement can be enhanced, but the complexity of measuring and achieving this increases
Solution Approach 1:
The patent creates a universal geometric framework that can be applied across entire customer bases while maintaining personalization capability. The same multi-dimensional space and geometric analysis methods work for both individual customer optimization and population-level strategy
4Productivity
If marketing activities are increased to drive business value, then revenue can be generated, but the difficulty of measuring and isolating campaign impact increases
Solution Approach 1:
The patent replaces traditional mechanical attribution modeling with a geometric measurement framework that visually and mathematically isolates campaign impact through spatial relationships between marketing activities and business outcomes
Data Source
AI summary
Quantitative techniques to measure and reduce the entropy in customer centric marketing activities in large enterprises using geometric methods and heuristics. Quantitative real time representations of marketing efforts, their effects and relative returns as line segments of a triangle with their lengths denoting the digitally encoded weights of the relations of the corresponding constituents pairwise. Hierarchically entropy deduction using mathematical formulae to deduce entropy from a nine-point circle formed of the triangle constructed to empirically assess marketing activities to customer journeys. Identification means to determine effectiveness and sensitivity to such marketing efforts by particularized customer types and clusters with automated recommendations in the form of prescription of lower activity levels of a segment or total suspension of marketing activity levels to reduce the overall entropy in marketing activity.