On-Screen Promotion Outcome Tracking Using ACR Viewer Data
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Solution Overview
Problem
Conventional methods for measuring the effectiveness of digital on-screen graphics-based advertisements are inefficient and error-prone, preventing content providers and media network operators from accurately determining the impact of promotional content on viewer behavior.
Innovation Solution
A system and method for determining the outcomes of digital on-screen graphics using a processor to receive and analyze graphic information, presentation data, and post-presentation information to assess the inclusion and interaction with promoted content offerings, enabling automated and efficient evaluation of advertising campaigns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sampling data and test groups are used to measure advertisement effectiveness, then the measurement process can be implemented with existing methods, but the measurement accuracy and reliability are insufficient
Solution Approach 1:
The patent uses Automated Content Recognition (ACR) technology to create digital copies of the advertised content and compares these copies with viewing data to track whether viewers watched the promoted program. This copying approach enables precise, automated measurement of advertisement effectiveness without relying on error-prone sampling methods.
Solution Approach 2:
The system implements a feedback loop by continuously monitoring viewing data, comparing it with advertisement exposure data, and generating effectiveness metrics. This automated feedback mechanism provides real-time, reliable measurement of whether viewers who were exposed to advertisements subsequently watched the promoted content.
2Measurement precision
If automated tracking systems are implemented to capture viewer interactions, then measurement accuracy improves, but system complexity increases
Solution Approach 1:
The system employs Automated Content Recognition (ACR) technology that operates autonomously to detect and track content viewing without requiring manual intervention. The automated system self-manages the entire measurement process from data collection to effectiveness calculation, reducing the need for complex manual tracking infrastructure.
Solution Approach 2:
The patent replaces complex manual sampling and test group methodologies with automated digital processing systems. By substituting mechanical/manual measurement processes with automated content recognition and data analysis, the system achieves high precision while managing complexity through automation rather than human effort.
3Loss of information
If comprehensive post-presentation data collection is performed to determine outcome information, then the completeness of effectiveness assessment improves, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-collecting and organizing viewing data, advertisement exposure data, and content identification information before the effectiveness analysis is needed. This preparatory data organization enables rapid, comprehensive assessment without time-consuming processing during the evaluation phase.
Solution Approach 2:
The patent implements continuous data collection and processing, where viewing data is constantly monitored and analyzed in real-time as it becomes available. This continuous action ensures complete information capture while distributing computational workload over time, preventing bottlenecks and reducing peak processing demands.
Data Source
AI summary
Systems and methods for determining outcomes for promotional messages presented to viewers using digital on-screen graphics are described. A service provider may present digital on-screen graphics on content presentation devices, which may be detected by an outcome management system. The digital on-screen graphic may be displayed in association with a primary content offering, such as a television program. The outcome management system may monitor content presentation devices, including those exposed to the digital on-screen graphic, to determine the effectiveness of the digital on-screen graphic. For instance, the outcome management system may determine whether content presentation devices exposed to the digital on-screen graphic subsequently accessed a content offering promoted therein.