Track and analyze the gaming floor's performance across slots and table games, focusing on revenue metrics, player behavior, and operational efficiency to optimize gaming mix and player experience.
Report Objective
Monitor and analyze weekly gaming floor performance metrics across slots and table games, examining win rates, player engagement, and operational efficiency to identify opportunities for revenue optimization and enhanced player experience.
Slot Machine Performance
Line chart showing weekly coin-in and actual win trends, with occupancy rate overlay
Questions to Consider:
How is slot revenue trending week-over-week?
Are actual wins aligning with theoretical expectations?
What is the correlation between occupancy rates and revenue?
What is the week-over-week change in coin-in volume?
Are there any seasonal patterns in slot revenue?
How does coin-in correlate with actual win?
What is the relationship between occupancy and theoretical win?
Are there optimal occupancy rates for maximizing revenue?
How do peak periods affect performance metrics?
Table Game Performance
Bar chart comparing weekly table drop and actual win metrics
Questions to Consider:
How do table game revenues compare to theoretical win rates?
What is the trend in house advantage across different games?
Are there specific days or times showing peak performance?
How is table drop trending week-over-week?
What is the relationship between drop and actual win?
Are there specific days showing stronger performance?
Is house advantage within expected ranges?
How do actual results compare to theoretical win?
Are there variations in hold by game type?
Player Engagement Metrics
Line chart showing average time on device and theoretical win per hour
Questions to Consider:
How is player engagement trending over time?
What is the relationship between time spent and theoretical win?
Are reinvestment rates effectively driving player retention?
How is player value trending over time?
What is the relationship between time played and theoretical win?
Are reinvestment rates driving intended player behavior?
Areas for Additional Analysis
Analyze game mix optimization based on performance metrics
Evaluate promotional effectiveness on player reinvestment rates
Review staffing levels against peak gaming periods
Assess impact of special events on gaming performance
Compare performance across different player segments
Investigate opportunities for floor layout optimization