OTT Impression Tracking With Panelist Demographic Matching
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Solution Overview
Problem
Existing methods for monitoring Internet media usage, such as server logs, are susceptible to over-counting and under-counting due to cache-based viewing and tampering, and audience measurement entities face challenges in accurately determining demographics for a large population beyond their panels.
Innovation Solution
Utilizing beaconing instructions embedded in media to track impressions across devices, partnering with database proprietors like social media platforms to leverage their user registration data for demographic information, and employing redirect mechanisms to identify and log impressions without compromising privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If server logs are used to monitor Internet media usage, then media exposure can be tracked, but accuracy deteriorates due to over-counting and under-counting from cache-based viewing and tampering
Solution Approach 1:
The patent introduces an intermediary measurement system that operates between the media server and the end user. This intermediary collects impression data from actual media playback events rather than relying on server logs, thereby eliminating the over-counting/under-counting problems caused by cache-based viewing and tampering while maintaining accurate exposure measurement.
Solution Approach 2:
The patent replaces the traditional server-log-based mechanical measurement system with a new system that uses embedded tracking code in media content itself. This substitution allows direct measurement of actual media playback events, eliminating the reliability issues inherent in server log analysis.
2Quantity of substance
If audience measurement entities expand their panel sizes to cover larger populations, then measurement comprehensiveness improves, but the complexity of managing and accurately measuring such large panels increases
Solution Approach 1:
The patent segments the measurement system into modular components: media content with embedded tracking code, intermediary collection points, and aggregation servers. This segmentation allows the system to handle large panels by distributing the measurement burden across multiple segments rather than requiring a monolithic complex system.
Solution Approach 2:
The measurement system performs self-service through automated tracking code execution within media content itself. The system automatically collects, transmits, and processes measurement data without requiring manual intervention or complex management infrastructure, thereby enabling large-scale measurement without proportionally increasing operational complexity.
Data Source
AI summary
Methods, apparatus, and systems are disclosed to collect impressions associated with over-the-top media devices. An example apparatus includes memory; and at least one processor to execute instructions to access a first request, the first request from a user-controlled client device, the first request including an over-the-top device identifier that identifies an over-the-top device that presents media, in response to determining a user of the user-controlled client device is a panelist of a first server, store the over-the-top device identifier with demographics corresponding to the panelist, access a second request, the second request from the over-the-top device, the second request including the over-the-top device identifier and a media identifier, and log an impression associated with the media identifier and the demographics, the impression corresponding to the panelist of the first server.