DVR Playback Tracking for Ad Monetization
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Solution Overview
Problem
The challenge in the broadcast television environment is tracking advertisement consumption, as digital video recorders allow users to watch content at different times and skip ads, making it difficult for advertisers to determine viewership and set accurate pricing. In contrast, computer network advertising is based on user interactions, providing clearer metrics but limited to online environments.
Innovation Solution
A digital video recorder (DVR) system that tracks and analyzes user playback actions of recorded video and advertising content, enabling the monetization of third-party recommended video content by scheduling recordings, sending advertising information to client devices, and arranging payments based on presentation metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital video recorders are used to allow users to watch content at different times and skip ads, then user convenience and flexibility are improved, but the ability to track advertisement consumption and determine viewership deteriorates
Solution Approach 1:
The system implements feedback by tracking user playback actions (such as fast-forwarding through ads) and using this information to adjust payment arrangements. The DVR service receives playback information from client devices and uses it to determine whether to bill advertising publishers or pay recommenders, creating a closed-loop feedback system that resolves the tracking problem while maintaining user convenience
Solution Approach 2:
The DVR service acts as an intermediary between advertising publishers, recommenders, and users. It receives programming feeds from recommenders, inserts advertising content, tracks user interactions with both video content and ads, and automatically arranges payments based on this tracking data, thereby solving the measurement precision problem without affecting user convenience
2Ease of manufacture
If advertising fees are based on ratings determined by tracking a sub-group of users, then advertising pricing can be established, but accuracy in determining actual viewership deteriorates due to time-shifted viewing and ad-skipping
Solution Approach 1:
The system replaces traditional statistical sampling methods (mechanical system of tracking sub-groups) with direct digital tracking of individual user playback actions. The DVR service receives detailed playback information from each user's client device, including whether they watched ads or fast-forwarded through them, providing precise actual viewership data that substitutes for imprecise ratings-based estimation
Solution Approach 2:
The system enables self-service by automatically tracking user actions and arranging payments without manual intervention. The DVR service autonomously receives playback information, determines ad consumption based on this data, and automatically bills advertising publishers or pays recommenders, eliminating the need for imprecise ratings-based pricing while maintaining ease of advertising procurement
3Adaptability or versatility
If third-party recommenders provide programming feeds to users, then content discovery and user engagement are improved, but monetization of the recommended content deteriorates due to lack of clear advertising presentation tracking
Solution Approach 1:
The DVR service performs multiple functions: it manages content discovery from third-party recommenders, inserts and delivers advertising content, tracks user playback actions for both video and ads, and automatically arranges payments. This multi-functionality enables recommenders to monetize their content discovery services by providing advertising presentation tracking without compromising content discovery capabilities
Solution Approach 2:
The system provides feedback to recommenders by tracking whether their recommended content leads to ad presentations and user interactions with those ads. The DVR service receives playback information indicating user actions during recommended content playback and uses this feedback to determine payment amounts to recommenders, enabling monetization while preserving content discovery functionality
Data Source
AI summary
A method for monetizing third-party recommended content is provided. The method includes receiving a programming feed from a recommender, receiving information regarding one or more items of advertising content from one or more advertising publishers, scheduling recording of video content identified in the programming feed for a user that follows the programming feed, sending the information regarding the one or more items of advertising content to a client device of the user, and receiving information regarding user playback actions that occurred during presentation of the video content identified in the programming feed and the advertising content.