Mutable Geo-Fence Boundary Adjustment for Dynamic Targeting
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Solution Overview
Problem
Existing geo-fencing systems are inflexible and unable to dynamically adjust their boundaries based on real-time usage metrics and location-specific data, leading to inefficient content delivery and inaccurate targeting of devices within a geo-fenced area.
Innovation Solution
A mutable geo-fence system that generates and adjusts virtual boundaries using geo-location data, divides the area into cells to track usage metrics, and adjusts the boundary based on predefined thresholds, allowing for real-time adjustments and more accurate targeting of devices within the geo-fenced area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed geo-fence boundary is established, then the system is simple to implement and manage, but it cannot dynamically adjust to real-time usage metrics and location-specific data
Solution Approach 1:
The geo-fence boundary is transformed from a static geometric shape to a dynamic entity that automatically adjusts its parameters (center location, radius, shape) based on real-time usage metrics and location-specific data. The system continuously monitors device interactions and recalculates boundary parameters to optimize content delivery effectiveness.
Solution Approach 2:
The system implements a feedback loop where usage metrics (device entries, content interactions, engagement levels) are continuously collected from within the geo-fenced area, processed to determine optimal boundary adjustments, and then applied to modify the geo-fence parameters. This closed-loop control enables adaptive optimization of the boundary configuration.
2Measurement precision
If the geo-fence boundary is adjusted frequently based on real-time data, then content delivery accuracy improves, but system resource consumption increases
Solution Approach 1:
Instead of continuous real-time adjustments, the system implements periodic boundary updates at predetermined time intervals (e.g., hourly, daily). Usage metrics are accumulated during each period, and boundary adjustments are made at periodic checkpoints, balancing targeting accuracy with reduced computational overhead and resource consumption.
Solution Approach 2:
The system adjusts boundary parameters partially rather than completely recalculating the entire geo-fence. Only specific parameters (such as radius or center coordinates) are modified based on usage patterns in specific directions, reducing the computational effort required while maintaining improved targeting accuracy in high-value areas.
3Quantity of substance
If the geo-fence encompasses a large area, then more devices can be targeted, but content delivery efficiency decreases due to unnecessary distribution
Solution Approach 1:
The system applies different boundary characteristics to different regions by adjusting the geo-fence parameters based on location-specific usage metrics. Areas with high device density and engagement receive expanded coverage, while low-activity regions are excluded or reduced, creating a non-uniform boundary that optimizes content delivery efficiency for each local zone.
Solution Approach 2:
The geo-fenced area is divided into multiple cells or zones, and usage metrics are calculated separately for each segment. The boundary adjustment process evaluates each segment independently, allowing the system to include high-value segments while excluding low-value ones, thereby optimizing the overall target set while maintaining delivery efficiency.
Data Source
AI summary
In various embodiments, boundaries of geo-fences can be made mutable based on principles described herein. The term “mutable” refers to the ability of a thing (in this case, the boundary of a geo-fence) to change and adjust. In a typical embodiment, a mutable geo-fence system is configured to generate and monitor a geo-fence that encompasses a region, in order to dynamically vary the boundary of the geo-fence based on a number of boundary variables. The term “geo-fence” as used herein describes a virtual perimeter (e.g., a boundary) for a real-world geographic area. A geo-fence could be a radius around a point (e.g., a store), or a set of predefined boundaries. Boundary variables, as used herein, refers to a set of variables utilized by the mutable geo-fence system in determining a location of the boundary of the geo-fence.