Dynamic Pricing for Multimedia Content Delivery
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Solution Overview
Problem
Current content distribution systems face challenges in providing personalized multimedia programming with high resolution formats due to data rate constraints and network congestion, leading to video disruptions and inefficient advertising delivery, which limits subscriber choice and increases costs.
Innovation Solution
A system and method that dynamically prices and schedules multimedia content and advertisements based on subscriber preferences, content provider pricing, advertiser goals, and transport capacity, using advanced analytics to optimize bandwidth usage and target advertising effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personalized programming with high resolution formats is provided, then subscriber choice and content quality are improved, but data rate constraints and network congestion worsen, leading to video disruptions
Solution Approach 1:
The system pre-loads multimedia content to customer premises equipment before peak demand periods. Content is downloaded during off-peak hours when network congestion is lower, then stored locally for playback during high-demand periods, eliminating video disruptions while maintaining high resolution formats and personalized selection
Solution Approach 2:
The system segments content delivery into off-peak pre-loading phases and on-demand playback phases. By separating content acquisition from content consumption timing, the system avoids network congestion during peak hours while still providing high-quality personalized content when subscribers want to watch
2Adaptability or versatility
If advertising content is increased to subsidize content delivery, then content availability is improved, but bandwidth requirements increase by 50%
Solution Approach 1:
The system merges advertising content with multimedia content into a single integrated delivery stream. Ads are embedded within or alongside the main content during the same pre-loading operation, so both content types utilize the same bandwidth allocation rather than requiring separate transmission resources
Solution Approach 2:
The system delivers advertising content selectively based on subscriber profiles and content context rather than uniformly inserting ads into all content. This targeted approach provides sufficient advertising revenue to subsidize content delivery without the excessive bandwidth consumption of universal ad insertion
3Ease of manufacture
If traditional advertising subsidies are used, then content production is supported, but advertising targeting capability is limited
Solution Approach 1:
The system implements feedback loops that track subscriber viewing habits, content preferences, and ad engagement metrics. This data feeds back into the ad selection algorithm, enabling continuous optimization of advertising targeting based on actual subscriber behavior rather than relying solely on traditional demographic profiling
Solution Approach 2:
The advertising system dynamically adjusts ad selection and insertion based on real-time subscriber data, content context, and performance metrics. Advertising profiles are not static but evolve continuously based on subscriber viewing patterns, enabling precise targeting while maintaining content production subsidies
Data Source
AI summary
An apparatus can include a system processor control and a system controller. The system processor can determine a subscriber content price for multimedia content based on a lead-time of electronic delivery of the multimedia content to a customer premises equipment via at least one transport provider servicing the customer premises equipment. The system controller can transmit the subscriber content price to the customer premises equipment and schedule electronic delivery of the multimedia content within the lead-time and in response to a subscriber request to deliver the multimedia content to the customer premises equipment.