Cross-Platform Audience Metrics Using Watermark Segment Normalization
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Solution Overview
Problem
The audience measurement industry faces challenges in accurately determining audience metrics across diverse media platforms, particularly due to the lack of watermarking in Internet-based media, which complicates the comparison and combination of metrics like 'Unique Audience', 'Duration Viewed', and 'Views' across traditional and Internet-based media distribution systems.
Innovation Solution
A system is introduced that includes a watermark-based media impression handler and a view counter to process media monitoring information, normalizing data to align 'View' metrics across different platforms by combining viewing segments based on a time threshold and attributing view starts, enabling unified Total Content Ratings (TCR) and Total Audience Measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If watermark-based measurement is used for traditional media, then measurement precision is improved, but device complexity increases due to the need for specialized handlers
Solution Approach 1:
The patent introduces a watermark-based media impression handler as an intermediary component that sits between the media delivery system and the audience measurement system. This handler intercepts media impressions, extracts watermark information, and processes measurement data, thereby enabling precise audience measurement without requiring modifications to the core media delivery infrastructure. The intermediary approach isolates the complexity of watermark processing from the main system while maintaining measurement accuracy.
2Adaptability or versatility
If cross-platform audience measurement is implemented, then adaptability is improved, but measurement precision deteriorates due to lack of watermarking in Internet-based media
Solution Approach 1:
The patent segments the audience measurement system into distinct handlers: a watermark-based media impression handler for traditional media and an Internet-based media impression handler for online media. Each handler is specialized for its respective media type, allowing the system to adapt to different platforms while maintaining measurement precision within each segment. The segmentation approach enables tailored measurement strategies for each media environment rather than forcing a one-size-fits-all solution.
Solution Approach 2:
The patent creates a universal audience measurement framework that can handle multiple media types through a common architecture. The system uses a unified data model and reporting structure that accommodates both watermark-based traditional media and watermark-less Internet-based media, enabling cross-platform measurement while preserving the unique characteristics and measurement requirements of each platform type.
3Adaptability or versatility
If viewing segments are combined across different platforms, then adaptability is improved, but difficulty of detecting and measuring increases due to different metric definitions
Solution Approach 1:
The patent applies parameter changes by introducing a time threshold parameter that controls how viewing segments are combined across platforms. By adjusting this parameter, the system can normalize different metric definitions (such as what constitutes a 'view' or 'impression') across traditional and Internet-based media. This parameter-based approach allows flexible adaptation to different platform metrics while maintaining consistent measurement standards, resolving the complexity of metric normalization through configurable thresholds rather than rigid rules.
Data Source
AI summary
An example includes a segment collector to: access impression records indicative of media access segments, the media access segments including start times and end times corresponding to media accessed by a panelist; and determine ones of the impression records that include a watermark corresponding to a first media platform presenting the media; a segment classifier to convert a first one of the impression records including the watermark to a converted impression record; and combine the converted impression record corresponding to the first media platform and a second impression record corresponding to a second media platform; and a media creditor to generate audience measurement metrics based on the combined impression records.