Gaming System Incentive Prediction for Session Duration
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Solution Overview
Problem
Existing gaming systems lack effective methods to extend and enhance player experiences by utilizing cumulative gaming activity data to prevent premature session termination, leading to a need for innovative incentives tailored to individual player behavior.
Innovation Solution
A gaming system that collects and analyzes player data to predict termination causation events, offering personalized incentives such as free spins or multipliers to delay session termination, with iterative optimization of incentive types and values based on effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If gaming systems provide standard incentives to players, then player engagement is maintained at baseline levels, but session duration is limited by natural termination patterns
Solution Approach 1:
The system performs preliminary analysis of player behavior patterns and termination causation events before the gaming session ends. By predicting when a player is likely to terminate based on historical data and current session metrics, the system can proactively offer incentives at the optimal moment to extend engagement, rather than reacting after termination occurs.
Solution Approach 2:
The incentive system dynamically adjusts incentive offerings based on real-time player behavior analysis. The system modifies incentive types, values, and timing according to individual player profiles, current session performance, and predicted termination likelihood, making the incentive structure adaptive rather than static.
2Reliability
If gaming systems collect and analyze cumulative player data to personalize incentives, then incentive effectiveness increases, but system complexity and data processing requirements increase
Solution Approach 1:
The system implements continuous feedback loops where player responses to incentives are captured and fed back into the analysis model. This feedback mechanism allows the system to learn from previous incentive outcomes, refine termination causation event predictions, and improve future incentive personalization, creating a self-optimizing system.
Solution Approach 2:
The system automatically collects gaming session data, analyzes player behavior patterns, generates predictions, and personalizes incentive offerings without requiring manual intervention. The automated nature of this process reduces operational complexity while maintaining high levels of personalization and effectiveness.
3Duration of action of moving object
If gaming systems offer frequent incentives to extend sessions, then session duration increases, but cost to the gaming establishment increases
Solution Approach 1:
The system applies incentives selectively rather than continuously, offering them only when predicted termination causation events are detected. This partial action approach ensures incentives are deployed at critical moments when they have maximum impact on extending session duration, avoiding wasteful expenditure on frequent or unnecessary incentives.
Solution Approach 2:
The system dynamically changes incentive parameters (type, value, timing) based on player profile, session context, and predicted termination likelihood. By optimizing these parameters, the system maximizes the effectiveness of each incentive dollar, extending session duration with minimal cost.
Data Source
AI summary
Various embodiments of the present disclosure provide a gaming system and method providing one or more incentives to delay termination of a gaming session. In general, for a player, the gaming system utilizes gaming session data collected from the player's previous gaming sessions to determine one or more termination causation events for the player. When a designated number of the termination causation events occur during a current gaming session of the player, the gaming system provides an incentive to the player, wherein the incentive is configured to cause the player to delay expected termination of the player's current gaming session. In certain embodiments, the gaming system optimizes an incentive available to be provided to a player based on the effectiveness of prior incentives provided to the player.