NFC Mobile Promotion Targeting via Location and Behavior
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Solution Overview
Problem
Consumers often receive irrelevant promotions, and modern mobile device users are overwhelmed with promotional content for products or services they have no interest in, making it challenging to provide relevant and engaging promotional content effectively.
Innovation Solution
A system that uses near-field communication (NFC) devices to deliver games and challenges to mobile devices, selecting content based on user location, purchase behavior, and demographic information, with rewards such as coupons or discounts provided upon successful completion, and allowing for social networking to promote repeat business and increase discounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If promotions are broadly distributed to mobile devices, then promotion coverage is improved, but promotion relevance deteriorates
Solution Approach 1:
The patent applies local quality by tailoring promotion content to specific local contexts. The system determines promotion relevance based on location-based factors (geographic location, proximity to businesses) and user-specific factors (purchase history, demographic information), ensuring that each user receives promotions customized to their local needs and preferences rather than generic broadcasts.
Solution Approach 2:
The system changes multiple parameters to determine promotion relevance, including geographic location, user location, purchase behavior patterns, demographic information, and time-based factors. By dynamically adjusting these parameters, the system can filter and select promotions that are both locally relevant and individually targeted, resolving the contradiction between broad coverage and relevance.
2Adaptability or versatility
If multiple promotions are provided to users, then promotion variety is improved, but user engagement deteriorates
Solution Approach 1:
The patent segments promotion content into distinct categories based on user preferences and local relevance. The system divides available promotions into relevant and irrelevant segments by evaluating each promotion against multiple criteria (location match, purchase history alignment, demographic suitability), then presents only the relevant segmented promotions to users, reducing clutter and improving engagement.
Solution Approach 2:
The system extracts and removes irrelevant promotions from the overall promotion pool before presenting them to users. By filtering out promotions that do not match user preferences, location, or purchase behavior patterns, the system delivers a curated set of high-relevance promotions, making the user experience more engaging and less overwhelming.
3Loss of information
If location-based promotions are delivered, then promotion relevance is improved, but system complexity deteriorates
Solution Approach 1:
The patent introduces an intermediary processing layer that handles the complexity of location-based promotion delivery. This intermediary system collects location data (geographic location, user location), matches it with promotion information, and filters promotions based on proximity and relevance criteria. By centralizing this complex matching logic in an intermediary layer, the system achieves high relevance without requiring complex client-side processing.
Solution Approach 2:
The system employs a universal promotion evaluation framework that handles multiple relevance criteria through a single multi-functional processing mechanism. The same evaluation logic accommodates various factors including geographic location, user location, purchase behavior, demographics, and time-based parameters, simplifying the system architecture while maintaining high promotion relevance across diverse scenarios.
Data Source
AI summary
Systems and methods for providing games, challenges, and/or promotions to mobile devices are usable to provide incentives to customers. According to one embodiment, a system can be provided. The system can be operable to receive location information associated with a mobile device and additional information, such as but not limited demographic and/or purchase history information, associated with the mobile device. Additionally, the system can be operable to select content based on the received information, transmit the content to the mobile device, receive an event outcome indicator associated with the content, and provide a promotional offer to the mobile device.