Promotion Targeting System Using Consumer Interaction Data
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Solution Overview
Problem
Conventional systems for providing promotions over electronic networks face inefficiencies in targeting advertisements, leading to unnecessary system processing and network congestion due to irrelevant data transmission.
Innovation Solution
A system and method that utilize servers with communication and processing circuitry to receive and analyze consumer interaction data, determining impression and promotion scores based on consumer interactions, thereby selecting and delivering targeted promotions that reduce irrelevant data transmission and enhance network efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems distribute promotions to all consumers, then coverage is maximized, but network congestion and processing requirements increase
Solution Approach 1:
The system performs preliminary actions by collecting consumer interaction data and calculating relevance scores before distributing promotions. This pre-screening process identifies which consumers are most likely to be interested in specific promotions, allowing the system to target only relevant consumers and avoid transmitting unnecessary promotion data to irrelevant users, thereby reducing network congestion and improving throughput
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring consumer interactions with promotions and using this data to refine relevance scoring. Consumer behavior data feeds back into the system to improve future targeting accuracy, creating a closed-loop system that progressively reduces data transmission waste while maintaining high promotion delivery efficiency
2Measurement precision
If promotions are targeted based on consumer interactions, then relevance is improved, but system complexity increases
Solution Approach 1:
The system segments the consumer base into distinct groups based on their interaction patterns and relevance scores. By dividing consumers into segments with similar characteristics, the system can apply simplified targeting rules to each segment rather than evaluating every promotion against every consumer individually, thereby maintaining high relevance accuracy while reducing overall system complexity
Solution Approach 2:
The system changes parameters by transforming raw consumer interaction data into standardized relevance scores and consumer profiles. This parameter transformation simplifies the complexity of raw behavioral data into manageable metrics that can be efficiently processed and used for targeted promotion distribution, maintaining measurement precision while reducing processing complexity
3Measurement precision
If consumer interaction data is collected and processed, then targeting accuracy is improved, but processing requirements increase
Solution Approach 1:
The system extracts only the most relevant features and signals from consumer interaction data that are necessary for determining promotion relevance. By selectively extracting key behavioral indicators rather than processing all available data, the system maintains high targeting accuracy while significantly reducing the computational energy required for data processing
Data Source
AI summary
Systems, apparatus, and methods for providing promotions based on consumer interaction data are discussed herein. Some embodiments may include a system and/or apparatus including circuitry configured to provide electronic user interfaces (or impressions) of promotions to consumer devices and receive consumer interaction data indicating consumer interaction with the impressions. The system may be further configured to determine a selected promotion for providing in a subsequent impression based on the consumer interaction data. For example, the system may be configured to determine a promotion score of available promotion based on consumer interaction data indicating consumer responses to the available impressions. The promotion score may provide a rating by which available promotions may be selected and may be determined based on various criteria discussed herein to provide selected promotions to consumer devices.