Promotion Matching for Preference-Based Future Offer Impressions
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Solution Overview
Problem
Existing promotion management systems fail to effectively provide consumers with impressions of future promotions that satisfy their specific preferences, leading to inefficiencies in consumer engagement and provider profitability.
Innovation Solution
A system that analyzes consumer preferences, parses promotion data to identify suitable promotions, and provides impressions indicating the availability of promotions that meet consumer criteria, including combinability with other offers, using an analytical model and databases to enhance relevance and consumer experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a system provides generic promotion notifications to all consumers, then the coverage and reach are improved, but the relevance and consumer engagement deteriorate
Solution Approach 1:
The system segments consumers into different groups based on their preferences, behaviors, and characteristics stored in consumer databases. By dividing the consumer base into segments, the system can send targeted promotion notifications to specific groups rather than generic notifications to all consumers, thereby improving both coverage within segments and relevance for each segment simultaneously
Solution Approach 2:
The system applies local quality by customizing promotion notifications according to individual consumer characteristics, preferences, and historical behaviors. Each consumer receives promotions tailored to their specific profile rather than a uniform message, enhancing the relevance and engagement quality for each local consumer context while maintaining broad system-wide coverage
2Measurement precision
If a system analyzes detailed consumer preferences and promotion parameters, then the promotion accuracy and consumer satisfaction are improved, but the computational complexity and processing time worsen
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing consumer preferences, behaviors, and promotion parameters in databases before actual promotion matching occurs. Consumer profiles, preference hierarchies, and promotion criteria are prepared in advance, allowing the matching process to retrieve and compare pre-structured data rather than processing raw information in real-time, thus reducing computational complexity during promotion delivery
Solution Approach 2:
The system uses copying by creating structured representations of consumer preferences and promotion parameters in database formats. Instead of analyzing complex raw consumer data repeatedly, the system creates simplified copies or models of consumer profiles with key attributes and preference weights, enabling efficient comparison and matching while maintaining high accuracy in promotion recommendations
3Reliability
If a system monitors and analyzes multiple promotion parameters including combinability, then the promotion quality and consumer value are improved, but the data processing requirements and system resources worsen
Solution Approach 1:
The system extracts and separates specific promotion parameters such as combinability, redemption terms, and quality metrics from the overall promotion data into distinct database fields and analysis categories. By extracting these critical parameters separately, the system can focus computational resources on analyzing only the most important factors for promotion quality and consumer value, rather than processing all promotion data uniformly, thus improving promotion quality while managing data processing volume
Data Source
AI summary
Methods, apparatus, and computer program products are disclosed for providing an impression to a consumer based on consumer preferences for future promotions. The methods include accessing consumer preferences for future promotions that specify at least one promotion request relating to a provider or a promotion category, and one or more promotion qualities, analyzing a plurality of promotions to identify those that satisfy the consumer preferences, and providing an impression to the consumer indicating the availability of the identified promotions. In embodiments, the methods can be used to identify promotions that are combinable with additional promotions offered by the same provider. Corresponding apparatus and computer program products are also provided.