Program Promotion Outcome Determination via Impression Records
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Solution Overview
Problem
Conventional methods for measuring the effectiveness of program promotion advertisements in media networks are inefficient and error-prone, relying on sampling data and test groups, which prevents content providers and media operators from accurately assessing the impact of their advertisements on viewers.
Innovation Solution
A system and method that uses a processor and computer-readable storage medium to generate network identifiers for content promotion messages, transmit them to content playback devices, receive device identifiers when the messages are played, and analyze impression records to determine the outcome of the advertisements, allowing for real-time evaluation of their effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If sampling data and test groups are used to measure advertisement effectiveness, then the measurement process can be simplified, but the accuracy and reliability of the measurement results deteriorate
Solution Approach 1:
The patent introduces impression records as an intermediary data structure that bridges the advertisement delivery system and the measurement system. Each impression record contains unique identifiers for both the advertisement and the content, enabling precise tracking of which advertisements are viewed by which users without requiring complex sampling methodologies. This intermediary structure allows for accurate measurement of advertisement effectiveness across the entire population rather than relying on samples.
Solution Approach 2:
The patent replaces the mechanical sampling and test group methodology with an automated digital identification and tracking system. Instead of manually selecting and tracking sample groups, the system uses unique network identifiers, device identifiers, and impression records to automatically track every advertisement impression and its associated content viewing behavior. This substitution of mechanical sampling with automated digital tracking eliminates the errors and inefficiencies inherent in manual sampling processes.
2Device complexity
If conventional sampling methods are used to evaluate advertisements, then the system complexity remains low, but the productivity of campaign optimization deteriorates
Solution Approach 1:
The patent implements a comprehensive feedback mechanism where impression records continuously capture data about advertisement viewing and subsequent content consumption. This feedback loop enables real-time analysis of which advertisements drive viewers to watch promoted content, allowing campaign optimization to be performed continuously rather than through periodic sampling. The system can immediately identify successful advertisements and adjust campaigns accordingly, significantly improving optimization productivity.
Solution Approach 2:
The patent enables continuous tracking and measurement of advertisement effectiveness through ongoing impression record generation and analysis. Rather than conducting periodic sampling studies, the system continuously monitors every advertisement impression and associated viewing behavior, maintaining an ever-updating dataset that can be analyzed in real-time. This continuous operation allows for uninterrupted campaign optimization and immediate response to performance changes.
3Measurement precision
If automated tracking of all advertisements is implemented, then the accuracy of outcome determination improves, but the device complexity and data processing requirements worsen
Solution Approach 1:
The patent segments the data processing task by creating discrete impression records for each advertisement viewing event. Each record is a self-contained unit with standardized fields for advertisement identifiers, device identifiers, and content information. This segmentation allows the complex task of tracking all advertisements to be broken down into manageable, standardized record processing units that can be efficiently handled by automated systems. The consistent structure of impression records simplifies data processing compared to unstructured sampling approaches.
Solution Approach 2:
The patent creates a universal impression record structure that serves multiple functions simultaneously: it tracks advertisement delivery, records user viewing behavior, identifies associated content, and provides data for both immediate and long-term analysis. This multi-functional design consolidates what would otherwise require multiple separate tracking systems into a single unified structure, reducing overall system complexity while maintaining comprehensive tracking capabilities.
Data Source
AI summary
Systems, methods and computer-readable storage media for determining an outcome of a content promotional message are described. For example, a media network may be configured to transmit content to a plurality of content playback devices, such as a television or a computing device. The content may include a content promotion message configured to promote content, such as a television program or a website, available through the media network. The content promotion message and the content may be associated with network identifiers generated by the media network for tracked content. When the content is played by the content playback device, a device identifier may be generated for the content. The device identifiers may be compared with the network identifiers to determine which, if any, content tracked by the media network has been played by the plurality of content playback devices.