Offline Media Engagement Measurement via Unique Codes
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Solution Overview
Problem
Current methods lack the ability to effectively measure and analyze consumer engagement data for offline advertising, such as TV, radio, and print media, which hinders the creation of efficient media plans and maximizes advertising investment.
Innovation Solution
A method utilizing tools for real-time consumer response measurement, data collection, and treatment with AI-driven algorithms to generate primary data, combine with secondary data for predictive optimization, and develop optimized media plans for offline advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If offline advertising is used (TV, radio, print), then broad audience reach is achieved, but consumer engagement data cannot be captured and measured
Solution Approach 1:
The patent introduces unique identification codes and measurement tools as intermediaries between offline advertising and consumer response data collection. These codes embedded in advertising materials enable tracking of consumer interactions without altering the core offline media format, thus preserving broad reach while capturing engagement data.
Solution Approach 2:
The patent replaces traditional mechanical/manual methods of tracking offline ad effectiveness with automated digital measurement systems. By using unique codes, mobile device detection, and automated data processing algorithms, the system transforms the manual tracking process into an automated electronic system that captures engagement data in real-time.
2Ease of manufacture
If traditional offline advertising measurement methods are used, then implementation is simple, but measurement precision and data richness are insufficient
Solution Approach 1:
The patent segments the measurement process into distinct components: unique identification codes for different advertising materials, device detection mechanisms, data collection modules, and analysis algorithms. This segmentation allows each component to be independently optimized and implemented, maintaining ease of deployment while achieving high measurement precision through the coordinated operation of multiple specialized elements.
3Measurement precision
If comprehensive data collection tools are implemented in offline media, then consumer engagement can be measured, but system complexity increases
Solution Approach 1:
The measurement system is designed to operate autonomously without requiring complex manual intervention. Unique codes self-identify advertising materials, mobile devices automatically detect and report interactions, and algorithms autonomously process and analyze data. This self-service approach reduces system complexity by eliminating the need for human operators to manually track and record engagement data while maintaining high measurement precision.
4Productivity
If AI-driven predictive algorithms are used for media optimization, then media plan effectiveness is maximized, but computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary data processing and pattern recognition during the data collection phase, preparing cleaned and structured data before it reaches the predictive algorithms. By pre-processing data in real-time as it is collected, the system reduces the computational burden on subsequent analysis stages, enabling faster execution of AI-driven optimization without sacrificing media plan effectiveness.
Data Source
AI summary
The present invention relates to methods for evaluating the effectiveness of all types of communication carried on offline communication media so as to generate data equivalent to the data obtained in online communication media. The present invention uses tangible tools such as fixed-line telephones, cellphones, computers, tablets and any other wearable mobile device to generate that data that will be used in media plans that are much more precise and efficient than the plans currently known. Finally, the present invention relates to said media plan obtained using one of said methods as well as the purchase of optimized media.