Asset Scheduling Tool Optimizes Targeted Ad Delivery
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Solution Overview
Problem
Current asset delivery scheduling in broadcast networks is inefficient, particularly in targeted advertising, as it often results in assets being delivered to unintended audiences, leading to wasted impressions and misaligned advertising efforts due to reliance on rough audience estimates and outdated rating systems.
Innovation Solution
A scheduling tool that optimizes asset placement across multiple asset delivery opportunities, considering targeting parameters, audience interference, and priority settings, using real-time audience estimation and feedback loops to ensure accurate delivery to the intended audience, thereby reducing waste and improving campaign efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional audience rating systems are used for asset scheduling, then the scheduling process is simple and fast, but the audience targeting precision deteriorates leading to wasted impressions
Solution Approach 1:
The system performs preliminary audience estimation and asset pre-selection before the actual asset delivery opportunity arises. The scheduling tool analyzes targeting parameters, audience classifications, and interference factors in advance to pre-determine optimal asset placements, reducing real-time complexity while maintaining high precision.
Solution Approach 2:
The scheduling tool acts as an intermediary layer between traditional rating systems and asset delivery. It takes rough rating data as input and transforms it into precise asset scheduling decisions by incorporating targeting parameters and audience interference analysis, thereby improving precision without requiring complete system redesign.
2Productivity
If multiple assets are scheduled in each asset delivery opportunity, then the productivity and campaign efficiency improve, but the complexity of managing audience interference and scheduling constraints increases
Solution Approach 1:
The system segments the asset scheduling problem into manageable components: audience classification analysis, interference factor identification, priority-based asset selection, and delivery opportunity matching. By breaking down the complex multi-asset scheduling into discrete analytical steps, the system handles multiple assets efficiently without overwhelming complexity.
Solution Approach 2:
The scheduling tool dynamically adjusts scheduling parameters based on audience interference analysis. When multiple assets target overlapping audiences, the system modifies delivery probabilities, timing, and selection weights to optimize overall campaign efficiency while managing the complexity of coordinating multiple assets within the same delivery opportunity.
3Measurement precision
If real-time audience estimation and feedback loops are implemented, then the delivery accuracy to intended audience improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs audience estimation and asset selection in advance, before the actual delivery moment. By pre-analyzing targeting parameters and pre-determining optimal asset placements, the system achieves high delivery accuracy without requiring extensive real-time processing, thus minimizing time loss while maintaining precision.
Data Source
AI summary
Embodiments of the invention provide systems and methods for constructing a schedule well before the time of an asset delivery opportunity that associates a collection of one or more assets, potentially from multiple advertisers or asset providers, that are planned to play in each asset delivery opportunity. Specific rules for each device also determine which asset each will play, thereby ensuring that campaigns of total asset delivery and asset delivery pacing are approximately fulfilled. This scheduling can be accomplished using marketing data associated with each user device and can be prepared in a practicable period of time using reasonable processing resources.