Automated Secondary Content Scheduling Across Managed Networks
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Solution Overview
Problem
Existing systems lack a suitable mechanism for substantially automated, dynamic analysis and management of secondary content insertion opportunities across multiple content networks, accurate projection of penetration and impressions, correlation between desired results and customer budgets, and coordination of advertising schedules, especially for unsophisticated advertisers, leading to inefficiencies and exclusion of lower-budget customers.
Innovation Solution
A computerized method and apparatus for managing secondary content schedules, utilizing simulations and data analysis to determine optimal insertion opportunities, validate results, and generate advertising campaigns, enabling automated and accurate management of secondary content across different content networks and platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual management methods are used for secondary content insertion opportunities, then flexibility and adaptability are maintained, but productivity and efficiency deteriorate due to the inability to handle large volumes of data and complex simulations
Solution Approach 1:
The patent introduces a computerized simulation system as an intermediary between advertisers and content networks. This intermediary automatically analyzes insertion opportunities, runs simulations to predict performance metrics, and generates optimized schedules, eliminating the need for manual management while handling the complexity internally through automated algorithms and data processing
Solution Approach 2:
The system enables self-service by allowing advertisers to input their own campaign parameters and budgets, after which the automated system independently performs all analysis, simulation, and schedule generation without requiring manual intervention. The system serves itself by automatically managing the entire workflow from data input to schedule output
2Measurement precision
If comprehensive data analysis and simulations are performed to accurately project penetration and impressions, then measurement precision improves, but loss of time increases due to the computational resources required
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing baseline performance metrics and historical data before actual campaign execution. Simulations are run in advance to establish expected performance ranges, allowing the system to quickly adjust to actual campaign conditions without performing full-scale simulations in real-time, thus reducing time loss while maintaining precision
3Ease of operation
If automated systems are implemented to manage secondary content, then ease of operation improves for unsophisticated advertisers, but device complexity increases requiring sophisticated technical infrastructure
Solution Approach 1:
The automated system acts as an intermediary that shields unsophisticated advertisers from technical complexity. Advertisers interact with a simple interface to input campaign goals and budgets, while the complex simulation engine, data analysis tools, and schedule optimization algorithms operate in the background, translating simple user inputs into complex automated management tasks without requiring the user to understand the underlying technical infrastructure
Data Source
AI summary
Apparatus and methods for generating secondary content scheduling and product offerings for users of a managed content distribution network, such as a cable, satellite, of HFCu network. In one embodiment, the secondary content comprises advertising content to be distributed across a plurality of content networks carried by the managed content distribution network. A plurality of computerized models (including various simulations) are generated based on various data sources, including historical tuning event data for the managed network's subscribers), and subsequently implemented to structure advertising schedules or campaigns (“bundles”) for each customer in a substantially automated fashion, and that will achieve the desired level of performance specified by the customer, consistent with their budget. Hence, the customer is relieved of having to possess any intrinsic knowledge of advertising channels, demographics (and their correlation to certain content networks), and can merely specify a desired result in terms of e.g., reach and/or viewing frequency.


