Contextual Markers in Media Streams for Passive Ad Tracking
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Solution Overview
Problem
Conventional techniques for tracking and attributing user behavior in targeted advertising are limited, as they primarily rely on affirmative actions and fail to capture passive activities, making it difficult to accurately target advertisements based on user behavior.
Innovation Solution
A system that uses a streaming media server to insert contextual markers into media content, which triggers a message to a data management platform, allowing for the attribution of end-users to audience segments based on passive behavior, enabling more accurate targeting of advertisements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional tracking techniques are used that rely on affirmative user actions, then the system is simpler to implement, but the accuracy of user behavior attribution and advertising targeting is insufficient
Solution Approach 1:
The patent introduces contextual markers as intermediary elements embedded in media content that automatically trigger data management platform actions. These markers serve as mediators between media consumption and user attribution, enabling passive behavior tracking without requiring direct user interaction or complex tracking mechanisms on the user side.
Solution Approach 2:
The system enables self-service tracking by having the media player automatically detect and report contextual markers without requiring user intervention. The data management platform receives automatic notifications when markers are encountered, allowing the system to track passive behavior autonomously without additional user actions.
2Measurement precision
If passive audience behavior is tracked using contextual markers, then advertising targeting accuracy improves, but the complexity of media stream processing increases
Solution Approach 1:
The patent segments the media stream into discrete units containing contextual markers at specific intervals. This segmentation allows the data management platform to process information in manageable chunks rather than analyzing entire continuous streams, reducing processing complexity while maintaining accurate passive behavior tracking.
Solution Approach 2:
Contextual markers are pre-inserted into media content before distribution. This preliminary action embeds the necessary tracking information in advance, eliminating the need for complex real-time analysis during media consumption and simplifying the processing requirements at the data management platform.
3Adaptability or versatility
If affirmative user actions are used for attribution, then the tracking mechanism is simpler, but the ability to capture passive activities is limited
Solution Approach 1:
The contextual marker acts as an intermediary that bridges passive media consumption and active tracking. When users passively consume media, the embedded markers automatically trigger attribution mechanisms, enabling the system to capture passive behavior without requiring users to actively interact with tracking systems.
Solution Approach 2:
The system implements feedback by having the data management platform receive automatic notifications when contextual markers are encountered during media consumption. This feedback loop enables continuous tracking of passive behavior without requiring additional user actions or complex attribution mechanisms on the user side.
Data Source
AI summary
A media stream includes multiple spot blocks representing portions of time assigned to particular media content, where some of the plurality of spot blocks include primary media content, and others include advertising content. The media stream also includes a contextual marker embedded in at least one of the spot blocks. The contextual marker includes information used by a media player to transmit a tracking call in response to reading the contextual marker.