Cross-Platform Ad Placement Balancing for Campaign Pacing
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Solution Overview
Problem
Traditional linear and digital supplemental content campaigns are executed separately, leading to inefficiencies in cross-platform optimization, campaign pacing, and ad placement, especially when targeting specific demographics, resulting in unpredictable pricing, excessive maintenance costs, and potential under/over delivery of impressions.
Innovation Solution
A cross-platform decisioning engine employs pre-flight and in-flight optimization to balance capacity across linear and digital streaming platforms, using a budget split technique and linear log optimizer for efficient supplemental content placement and campaign performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional separate execution of linear and digital supplemental content campaigns is used, then each platform can maintain its own operational simplicity, but cross-platform optimization and flexible ad distribution are lost
Solution Approach 1:
The patent merges linear and digital supplemental content campaign executions into a unified cross-platform system. The system consolidates forecasting, capacity management, and ad placement operations across both platforms, enabling centralized optimization while maintaining platform-specific characteristics through configurable parameters and platform-aware algorithms.
2Reliability
If supplemental content is placed to fulfill digital campaign guarantees within maximum avails, then digital campaign requirements are met, but linear platform capacity and revenue optimization are lost
Solution Approach 1:
The system dynamically adjusts campaign parameters including capacity allocation, pacing rates, and placement priorities based on real-time platform performance, audience availability, and revenue opportunities. This allows the system to fulfill guarantees while optimizing revenue by shifting parameters across platforms rather than rigidly adhering to platform-specific constraints.
3Reliability
If linear campaign guarantees both number of impressions and number of breaks, then comprehensive campaign requirements are met, but flexibility in ad distribution across platforms is lost
Solution Approach 1:
The system implements dynamic campaign management where break guarantees and impression guarantees are decoupled and managed independently. The system can dynamically reallocate impressions across breaks and platforms based on real-time conditions, audience availability, and performance metrics, transforming static guarantees into flexible, adaptive commitments that can be fulfilled through multiple distribution paths.
4Device complexity
If traditional forecasting techniques are used for supplemental content placement, then simple forecasting models can be maintained, but cross-platform capacity balancing and pacing optimization are limited
Solution Approach 1:
The patent introduces a cross-platform decisioning engine as an intermediary layer between traditional forecasting models and actual ad placement operations. This engine aggregates forecasting data from multiple platforms, applies cross-platform optimization algorithms, and generates unified placement decisions that balance capacity and pacing across platforms while maintaining compatibility with existing forecasting methodologies.
5Ease of manufacture
If separate campaign execution systems are used for linear and digital platforms, then each system can operate independently with simple maintenance, but in-flight maintenance costs and operational burdens increase
Solution Approach 1:
The system implements a universal campaign management framework that handles both linear and digital platforms through shared core functionalities including forecasting, capacity management, pacing control, and performance monitoring. This multi-functional architecture reduces maintenance burden by eliminating duplicate systems while maintaining platform-specific capabilities through configurable parameters and modular components.
Data Source
AI summary
Systems and methods for efficient and reliable cross-platform impression availability across linear and digital streaming content platforms is provided. Specifically, impressions estimates from both linear content platforms and digital content streaming platforms are used to identify relative capacities for satisfying a campaign of placement of the supplemental content. The relative capacities may be used to balance a portion of the capacities across the platforms that are used to satisfy the campaign.