Ad Network Optimization via Tiered Frequency Cap Adjustment

The patent segments ad networks into multiple tiers based on performance metrics such as fill rate, CPM, and response time. This segmentation allows the system to manage numerous ad networks efficiently by organizing them into hierarchical groups, where higher-tier networks are prioritized for ad placement. This resolves the contradiction by maintaining diverse ad placement options while improving revenue efficiency through structured selection.

The patent applies local quality by assigning different characteristics and priorities to different segments (tiers) of ad networks. Higher tiers receive preferential treatment in ad placement decisions based on their superior performance metrics. This allows the system to optimize revenue generation by directing traffic to high-performing networks while still maintaining relationships with numerous networks for diverse placement options.

The patent changes key parameters such as fill rate, CPM (cost per mille), and response time to establish performance thresholds for tier assignment. By monitoring and adjusting these parameters, the system can dynamically assign ad networks to appropriate tiers and adjust frequency caps accordingly. This resolves the contradiction by providing a structured parameter-based approach that simplifies the assessment of numerous networks while enabling optimized frequency cap management for maximum revenue.

The patent implements feedback mechanisms that continuously monitor ad network performance metrics and use this information to adjust tier assignments and frequency caps. The system collects data on fill rates, CPM, and response times, assesses network performance against established criteria, and dynamically adjusts frequency allocation. This feedback loop enables automated performance assessment that reduces complexity while maximizing revenue from high-performing networks.