Random Loyalty Rewards for Non-Gameplay Casino Activity
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Solution Overview
Problem
Existing casino rewards programs offer static loyalty benefits based on gameplay, which can lead to decreased user engagement and fail to incentivize varied activities beyond wagering.
Innovation Solution
A system that tracks non-gameplay activities at gaming establishments and employs random determinations to dynamically award loyalty benefits, such as player tracking points, based on a variety of factors including time, device type, user status, and establishment occupancy, enhancing user engagement and anticipation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static loyalty benefits are offered based on gameplay, then the rewards program is simple to implement, but user engagement decreases and varied activities beyond wagering are not incentivized
Solution Approach 1:
The loyalty benefit system transitions from static to dynamic by introducing random determination mechanisms. The system now varies rewards based on multiple factors including time of day, device type, user status, and establishment occupancy, making the reward structure adaptive and engaging while maintaining manageable complexity through automated tracking and determination processes
Solution Approach 2:
The system changes multiple parameters simultaneously to determine loyalty benefits: time parameters (time of day, day of week), device parameters (device type, location), user parameters (user status, preferences), and establishment parameters (occupancy levels). This multi-parameter approach increases adaptability and user engagement while the automated system manages the complexity of tracking and processing these variables
2Adaptability or versatility
If random determinations are used to determine loyalty benefits, then user engagement and excitement increase, but the system complexity increases
Solution Approach 1:
The system implements self-service mechanisms where the automated tracking and random determination processes handle the complexity internally. The system automatically monitors non-gameplay activities, applies the random determination algorithm based on multiple factors, and distributes rewards without requiring manual intervention, thereby managing system complexity while maintaining high user engagement through unpredictable rewards
Solution Approach 2:
The system incorporates feedback loops where user responses to random rewards are tracked and analyzed. This feedback mechanism allows the system to refine its random determination parameters over time, optimizing user engagement while managing complexity through data-driven adjustments rather than manual reconfiguration
3Adaptability or versatility
If non-gameplay activities are tracked, then varied activities beyond wagering are incentivized, but tracking and measurement difficulty increases
Solution Approach 1:
The system employs universal tracking mechanisms that can monitor multiple types of non-gameplay activities through a single integrated approach. By creating a unified tracking framework that handles various activity types (social interactions, educational content consumption, promotional material engagement) through common data collection and analysis processes, the system incentivizes diverse activities while managing the complexity of tracking and measurement
Data Source
AI summary
Systems and methods that track, during a first period of time, non-game play activity of a user at a gaming establishment device, and after the first period of time, determine a gaming establishment loyalty benefit based on a random determination and the tracked activity.