Promotional Diversity System Using Modulo Segmentation
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Solution Overview
Problem
Current promotional systems fail to provide diversified and targeted promotions to consumers effectively, often resulting in lack of diversity within impressions, which can lead to repetitive or uninteresting offers, and may not adapt well to consumer preferences over time.
Innovation Solution
A system and method that utilize a promotion database and servers to generate impressions by selecting promotion data records based on relevance ranking, diversity characteristics, and historical consumer data, ensuring intra-impression and inter-impression diversity by replacing similar promotions with new ones, and adding promotions with different characteristics to maintain freshness and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple promotions of different merchants and products are provided to consumers, then the quantity and variety of promotions increase, but the diversity within single impressions decreases leading to repetitive offers
Solution Approach 1:
The system segments promotions into multiple diversity characteristics (merchant, category, product type) and applies separate filtering rules for each characteristic. This segmentation allows the system to maintain overall promotion quantity while ensuring diversity within each impression by controlling the distribution across different segments.
Solution Approach 2:
The system changes the parameters of promotion selection by introducing diversity characteristic values and applying mathematical operations (modulo arithmetic) to distribute promotions across different diversity categories. This parameter-based approach ensures that promotions are systematically diversified across impressions while maintaining adequate quantity.
2Reliability
If promotions are selected based on relevance ranking, then the relevance to consumer preferences improves, but the diversity of promotions decreases due to selection of similar high-ranking promotions
Solution Approach 1:
The system modifies the selection parameters by applying modulo operations on promotion indices to distribute selected promotions across different diversity characteristic categories. This allows the system to maintain relevance ranking as the primary selection criterion while using parameter transformation to ensure diversity in the final promotion set.
Solution Approach 2:
The system segments the promotion selection process into two stages: first selecting based on relevance ranking, then segmenting the selected promotions into different diversity categories using mathematical distribution. This two-stage approach preserves relevance while ensuring diversity across different characteristic dimensions.
3Adaptability or versatility
If manual tracking of consumer preferences is used, then the personalization of promotions improves, but the complexity and time consumption increase significantly
Solution Approach 1:
The system implements self-service by automatically collecting consumer interaction data (impressions viewed, promotions redeemed) and using this data to dynamically adjust promotion selection. This eliminates the need for manual tracking while maintaining personalization, as the system serves itself by learning from consumer behavior patterns.
Solution Approach 2:
The system incorporates feedback loops where consumer responses to promotions are continuously monitored and used to adjust future promotion selections. This automated feedback mechanism enables personalization without manual intervention, reducing system complexity while improving adaptability to consumer preferences.
4Stability of the object's composition
If the same promotions are provided repeatedly to consumers, then the consistency of messaging is maintained, but the engagement and interest of consumers decrease
Solution Approach 1:
The system applies periodic action by rotating promotions across different diversity characteristic categories in a systematic manner. Promotions are cycled through different merchants, categories, and types according to predefined periods, ensuring that consumers receive varied content while maintaining consistent delivery frequency and messaging quality.
Solution Approach 2:
The system changes promotion parameters systematically by using modulo arithmetic to cycle through different diversity characteristic values. This ensures that promotions are refreshed periodically across different categories while maintaining consistent delivery timing and messaging structure, balancing stability with variety.
Data Source
AI summary
Systems, apparatus, and methods for providing diversified promotions are discussed herein. Some embodiments may include a system including circuitry configured to provide diversified promotions within an impression or other communication including multiple promotions. For example, promotions may be associated with diversity characteristics to determine the diversity of promotional offerings within an impression and/or within a series of impressions over a period of time sent to a targeted consumer. When an impression is determined to lack diversity based on the diversity characteristics of the promotions, the system may be configured to take corrective action such as by replacing at least one promotion with a replacement promotion that provides greater diversity to the impression.