Refined Location Marketing Matching Engine
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Solution Overview
Problem
Current location-based marketing systems fail to accurately determine relevant marketing devices for consumers due to simplistic binary methods that ignore important factors such as product type, consumer state, and logistical considerations, leading to irrelevant offers and potential consumer dissatisfaction.
Innovation Solution
A refined location-based marketing system that collects and analyzes data from both merchants and consumers to create detailed profiles, using a matching engine with a location refinement filter to assess relevance based on physical distance, service offerings, consumer preferences, and logistical factors, ensuring more accurate and relevant marketing device distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If location-based marketing devices are distributed using simple proximity methods, then distribution speed and system complexity are improved, but marketing device relevance and consumer satisfaction deteriorate
Solution Approach 1:
The patent segments the location-based marketing system into multiple independent filtering components: proximity filter, merchant category filter, consumer preferences filter, and temporal filter. Each filter operates independently to assess different aspects of relevance, allowing the system to maintain low complexity while achieving high relevance through modular processing of multiple criteria.
2Reliability
If multiple factors are analyzed to determine marketing device relevance, then marketing device relevance is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-computing and storing merchant categories, consumer preferences, and temporal constraints in database profiles before the actual matching process. When a marketing device needs to be distributed, the system retrieves these pre-prepared profiles and applies filters using stored data, avoiding time-consuming real-time analysis of all consumer and merchant attributes.
3Reliability
If detailed consumer and merchant profiles are created and maintained, then marketing device relevance is improved, but data storage requirements and system complexity increase
Solution Approach 1:
The patent extracts only the essential attributes needed for marketing device matching from consumer and merchant data, storing them in compact profile formats. Instead of maintaining complete consumer and merchant databases, the system extracts and stores specifically: consumer location preferences, temporal availability, and category interests; and merchant location, category, and operational hours. This extraction approach maintains high relevance while minimizing storage requirements.
Data Source
AI summary
A method and system for providing refined location relevant marketing devices whereby a marketing device management system obtains: data representing one or more marketing devices from one or more merchants; location refinement data associated with the merchants; location refinement data associated with the marketing devices; and location refinement data associated with a consumer. The marketing device management system includes a marketing device matching engine that includes a location refinement matching filter. The location refinement matching filter uses all, or part of: the location refinement data associated with the merchant; the location refinement data associated with the marketing devices; and the location refinement data associated with the consumer; to determine the marketing devices in the marketing device database most relevant to the consumer, and the consumer's current state. The most relevant marketing devices are then provided to the consumer.