Real-Time Out-of-Home Ad Analytics via Mobile Data Streams
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Solution Overview
Problem
Service providers and device manufacturers face challenges in determining the effectiveness of out-of-home advertising as existing methods lack immediate analysis of user interactions with location-based displays, leading to delayed insights on sales connections and relevance to user context and interest.
Innovation Solution
A system that processes data streams to extract arbitrary events coinciding with location-based displays, determining information placement parameters by analyzing user interactions, intents, and behavioral models in real-time, enabling immediate optimization of content distribution and A/B testing for enhanced user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional advertising management methods are used to determine sales connections, then analysis can be performed, but the analysis takes weeks and connections between user actions and advertisements are not immediate
Solution Approach 1:
The patent replaces traditional mechanical data collection and analysis methods with electronic data processing systems. Mobile devices automatically transmit location and interaction data electronically, which is then processed by servers using algorithms to rapidly analyze advertising effectiveness, reducing analysis time from weeks to near-real-time while maintaining or improving accuracy through automated pattern recognition.
Solution Approach 2:
The patent introduces mobile devices as intermediaries between users and advertising displays. These devices capture user location, timing, and interaction data, serving as a bridge that automatically collects and transmits information to analysis systems, eliminating the need for manual tracking and enabling rapid automated analysis of advertising performance.
2Quantity of substance
If out of home advertising content is displayed on location-based assets, then advertising reach is expanded, but there is little relevance to whether users are interested in the advertisements
Solution Approach 1:
The patent implements a feedback loop where mobile devices continuously provide data about user location, movement patterns, and interaction with advertising content. This feedback enables the system to analyze user behavior in real-time and determine interest levels, allowing advertisers to assess whether their content is resonating with the target audience while maintaining broad geographic reach.
Solution Approach 2:
The patent changes the parameters used to measure advertising effectiveness from simple impression counts to multi-dimensional metrics including user location, time spent near displays, repeated visits, and contextual relevance. By analyzing these changed parameters, the system can determine user interest levels while maintaining expanded advertising reach through location-based targeting.
3Adaptability or versatility
If content distribution is tailored to user context and interest, then user engagement is improved, but significant challenges exist in determining user context and interest in real-time
Solution Approach 1:
The patent creates a universal platform where mobile devices perform multiple functions: location tracking, interaction detection, data transmission, and contextual analysis. This multi-functional approach consolidates what would otherwise require separate complex systems, enabling real-time content personalization based on user context while managing system complexity through integrated architecture.
Solution Approach 2:
The patent performs preliminary actions by continuously collecting and pre-processing user data in the background before advertising decisions are needed. Mobile devices constantly track location and usage patterns, and servers pre-analyze this data to build user profiles and contextual understanding, enabling rapid content personalization when advertising opportunities arise without complex real-time computation.
Data Source
AI summary
An approach is provided for determining performance of location-based displays. The coincidences computational platform may process and/or facilitate a processing of at least one data stream associated with at least one device to cause, at least in part, an extraction of one or more data sets. Then, the content platform may determine one or more arbitrary events data sets from among the one or more data sets based, at least in part, on a coincident occurrence of casual and non-causal events of the one or more arbitrary events data sets with at least on location-based display. Lastly, the content platform may determine one or more information placement parameters for the at least one location-based display based, at least in part, on the one or more arbitrary events data sets.