Zero-Slate Content Decisioning for Seamless FAST Ad Breaks
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Solution Overview
Problem
Existing systems for Free Ad-supported Streaming TV (FAST) struggle with inefficient ad insertion and management of filler content during ad-breaks, leading to suboptimal viewer experiences.
Innovation Solution
A system and method for content decisioning within a zero-slate architecture that utilizes an Electronic Programming Guide (EPG) to dynamically manage ad placements and content stitching, ensuring personalized and seamless streaming experiences by integrating an Elastic Playout System, Content Decisioning System, and Replacement Decisioning System to handle ad breaks and content transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional ad insertion methods are used in FAST, then ad revenue is generated, but viewer experience deteriorates due to filler content and inefficient ad placements
Solution Approach 1:
The system uses EPG data to pre-identify ad break opportunities and plan content stitching in advance. The Elastic Playout System prepares content segments and ad placements before actual playback, enabling efficient ad insertion without disrupting viewer experience. This preliminary planning allows the system to anticipate when ads should be inserted and what filler content should be used, resolving the contradiction between ad insertion efficiency and viewer experience.
Solution Approach 2:
The system dynamically adjusts ad placements and filler content based on real-time conditions. The Content Decisioning System continuously monitors viewer behavior and ad performance, then adapts the streaming content accordingly. This dynamic adjustment allows the system to optimize ad insertion efficiency while maintaining high viewer experience by responding to actual viewing patterns rather than using static pre-planned content.
2Ease of operation
If personalized content is delivered, then viewer engagement improves, but system complexity increases due to real-time decisioning requirements
Solution Approach 1:
The decisioning system is segmented into specialized modules: the EPG System handles program scheduling, the Elastic Playout System manages content delivery, and the Content Decisioning System handles personalization logic. This segmentation allows each component to focus on specific tasks, reducing overall system complexity while enabling personalized content delivery. The modular architecture makes the complex decisioning process more manageable and scalable.
Solution Approach 2:
The Content Decisioning System acts as an intermediary between the EPG data and the actual content delivery. It receives program information from the EPG system, applies personalization rules, and then instructs the Elastic Playout System on what to deliver. This intermediary layer simplifies the architecture by centralizing the decisioning logic and allowing other systems to remain simpler while still achieving personalization.
3Quantity of substance
If ad breaks are extended, then ad revenue opportunities increase, but content continuity deteriorates due to filler content
Solution Approach 1:
The system changes the parameters of ad breaks by dynamically adjusting their duration and content based on EPG data and viewer preferences. Instead of using fixed-length ad breaks with filler content, the system adapts the timing and nature of ad interruptions to maintain content continuity. This parameter adjustment allows longer ad opportunities when appropriate while preserving viewing experience through intelligent content sequencing.
Data Source
AI summary
A system, method and computer program product for Content Decisioning within a Zero-Slate system for Linear TV having a configuration service, a default content ladder, a media prep module, a content fetching module, a content segmentation server and a load balancer to reduce ad-fatigue for viewers