Contact Ranking Engine for Dynamic Game Promotion Targeting

The patent segments the player base by dynamically evaluating individual contact attributes (social graph data, game activity, device information) to identify and promote to specific subsets of players who are most likely to engage. This segmentation transforms generic promotions into targeted campaigns, improving engagement without requiring universal distribution.

The system performs preliminary evaluation of contact attributes before executing promotions. By pre-scoring players based on their likelihood to respond to game promotions using their social graph, game activity, and device characteristics, the system prepares targeted promotion lists in advance, ensuring that promotions are sent only to high-probability candidates.

The patent implements a multi-functional evaluation system that uses a single configuration table to handle diverse contact attributes (social graph data, game activity metrics, device information) and multiple promotion types. This universal configuration table approach consolidates what would otherwise require multiple separate systems, managing complexity while enabling sophisticated targeting.

The system manages complexity by dynamically changing evaluation parameters through configuration tables rather than hardcoding complex logic. The configuration tables allow game operators to adjust scoring weights, thresholds, and attribute combinations without modifying the underlying system architecture, making the complex system adaptable and easier to maintain.