Beacon-Based Location Puzzle System for Customer Engagement
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Solution Overview
Problem
Institutions face challenges in accurately locating and profiling customers' mobile devices to deliver targeted and relevant content, as existing technologies often provide inaccurate or generalized information, leading to negative user experiences.
Innovation Solution
A system and method utilizing beacons to detect user devices within proximity zones, generating datasets based on presence values, and dynamically retrieving and displaying location-based puzzle elements to enhance customer engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional technological solutions transmit promotional material to a large pool of potential customers, then the quantity of customers reached increases, but the accuracy of customer location and relevance of material decreases
Solution Approach 1:
The system segments the large pool of potential customers into smaller, location-specific groups based on beacon proximity detection. Each beacon creates a distinct segment of customers physically present at that location, allowing targeted material delivery to each segment rather than broadcasting to all customers simultaneously.
Solution Approach 2:
The system applies local quality by delivering different promotional materials to different geographic locations based on beacon presence. Each location receives customized content relevant to its specific context, rather than receiving generic material suitable for no particular audience.
2Ease of operation
If institutions use generalized promotional material based on inaccurate customer information, then the ease of operation increases, but the user experience deteriorates
Solution Approach 1:
The system implements self-service by automatically detecting customer presence through beacons and delivering appropriate promotional material without requiring manual customer profiling or intervention. The beacon technology and server automatically perform the segmentation and content delivery tasks.
Solution Approach 2:
The system uses feedback from beacon detection data to dynamically determine which promotional material to deliver. The server continuously monitors beacon presence information and adjusts material delivery based on real-time location data, creating a feedback loop that improves relevance.
3Device complexity
If institutions fail to accurately determine customer vicinity, then the device complexity decreases, but the productivity of customer engagement decreases
Solution Approach 1:
The system introduces beacons as intermediary devices that simplify location detection. Rather than using complex tracking systems, the beacons act as simple mediators that broadcast location information, which the server then uses to determine customer vicinity and deliver appropriate content.
Data Source
AI summary
Disclosed herein are systems and methods for dynamic generation of an intelligent and location-based puzzle. The method comprises locating a mobile device within a proximity zone associated with an establishment and generating a user dataset comprising a counter representing how many times the user has been identified within the proximity zone. The method further comprises querying, receiving, and displaying a first media element associated with a puzzle. Upon locating the mobile device within the proximity zone for the second time, the method comprises adjusting the counter value and querying, receiving, and displaying a second media element associated with the puzzle.