Geographic Grid Content Targeting System
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Solution Overview
Problem
Content providers face challenges in efficiently organizing and delivering information to the most relevant demographic due to the vast amount of data available, especially with the rise of internet-based information dissemination.
Innovation Solution
A method and system that divide geographical areas into virtual grids, assign geographically relevant information to cells, and use location rules to match search campaigns, allowing for targeted content delivery to information playback devices based on geographic, business, audience, census, or impressions parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If content is transmitted to all viewers over long distances using Internet and information playback devices, then the volume of information available to individuals expands quickly, but content providers face challenges in efficiently organizing and transmitting information to the demographic most likely to use it
Solution Approach 1:
The geographical area is divided into a virtual grid of discrete cells, each assigned geographically relevant information. This segmentation allows content providers to target specific cells rather than broadcasting to all areas, improving transmission efficiency to the demographic most likely to use the information while maintaining extensive information availability.
2Adaptability or versatility
If geographically relevant information is assigned to each cell in the virtual grid, then informed geo-targeting decisions can be made, but the system complexity increases due to the need to manage and compare location rules with geographically relevant information
Solution Approach 1:
A computing system acts as an intermediary between content providers and information playback devices. This intermediary manages the virtual grid, stores geographically relevant information for each cell, and automatically compares location rules with cell information to determine content delivery, simplifying the interface for content providers while maintaining sophisticated geo-targeting capabilities.
Solution Approach 2:
The system automatically performs the comparison between location rules and geographically relevant information assigned to cells, eliminating the need for manual intervention. The computing system self-manages the complex tasks of rule evaluation and content selection, reducing operational complexity for users.
3Productivity
If content is selectively delivered to information playback devices within specific cells based on location rules, then content relevance is improved, but the loss of information occurs due to selective filtering
Solution Approach 1:
The system dynamically adjusts content delivery based on real-time comparison of location rules with geographically relevant information. Rather than static filtering, the system adaptively selects content for each cell based on current rule evaluations, maintaining high relevance while preserving access to the full information set through the virtual grid structure.
Data Source
AI summary
Systems and methods are provided for presenting information about discrete geographical areas and the use of such information by content providers to facilitate delivery of targeted or geographically relevant content to information playback devices located in one or more particular discrete geographical areas. Data (e.g., contextual, behavioral, predictive, trending, geo-consumer patterns) can be collected and associated with relevant virtual cells within a grid. A portal can be provided to enable content provider to search the cells based on customized campaigns to identify trends, interest, patterns and opportunities. Such information can facilitate informed geo-targeting decisions and consumer understandings for business of all sizes and sectors in order to deliver more relevant content to information playback devices within selected cells according to customized settings configured by the content provider.


