In my last few articles, I covered the various analysis that I utilized as an operator and those that we at Eilers & Krejcik Gaming are applying in the EILERS-FANTINI Central Game Performance Database (GPD). Since those articles and reports were published, operators and suppliers have requested new ways in which they would like for us to slice and dice our large dataset. These requests now form the basis of a new monthly publication containing more key performance indicators (KPIs) and additional explorations of slot trends and performance—this publication will now preview the new EILERS-FANTINI “Data Insights Report” moving forward.
Before diving into the new report, it is important to cover a couple statistics in the GPD. Now inclusive of more than 83,000 slots across 125 casinos, we collect performance data from a wide range of operators all with their own strategic visions. One of the GPD’s statistics that has remained tried and true since inception: approximately 60 percent of all the machines tracked are below 1x section average. That leaves operators looking to determine just how well the other 40 percent perform; an answer that can be provided with a “Performance Matrix.”
To complete this new report, which was requested by one of the major suppliers/manufacturers of slot machines, we sliced the data into a Performance Matrix—the idea is to segment data into indexing groups (1x-1.4x vs 1.4x-1.8x zone average and so on) to see just how well an individual supplier, cabinet or theme is performing. This segmentation is important to note because a GPD user can lose track of just how well a segment is performing when grouping overall performance. In this case, the supplier asked, “How many themes placed on this new cabinet perform greater than 1x compared to our competitors’ newly released cabinet?” The supplier is looking to be able to tell an operator x percent of our games with this cabinet will perform over 1x as compared to our competitor.
Below is an example of the Performance Matrix as requested by the supplier. To quickly read the matrix, the blue shading to the right of the matrix indicates higher performance. Supplier and cabinet on the left of the chart represents the grouping, while the right is the percentage of themes currently tracked and where the index falls.
As you can see from the second chart below, the Concerto Crescent by Konami has the lowest percent of themes tracked below 1x (0 percent below 0.8x and only 7 percent between 0.8x-1x) and furthermore the Crescent also has the most blue shading to the right of the matrix.
Though the above Performance Matrix provides great insights, it can become misleading when viewed alone because the matrix is only comparing the percentage of themes by individual supplier against itself leading us to the next variant. Here we take the same grouping but instead of tracking the percentage of themes by supplier on the right we display the number of themes and apply the conditional formatting (grey-blue shading) based on the entire matrix. Here we note strong performance from AGS/Orion, Scientific Games/TwinStar J43, but most impressively from the Aristocrat/Arc Single.
Another request from an operator included in this month’s Data Insights Report focuses on cabinet level performance and trending within the owned, one cent, video reel segmentation, which currently accounts for the largest segments of the GPD—owned at 91 percent, one cent at 66 percent and video reel currently at 74 percent of the database.
In the chart to the right, we observed the following based on the cabinet trends and track early Helix Xt performance:
- The close grouping of the Xt, Crescent, Orion and J43 in the most recent months;
- J43 performance dipped with the Xt release but has stayed consistent as the Helix cabinet levels now performing below the J43;
- The Konami Concerto Crescent has improved and tracks slightly above the AGS Orion for the third month in a row; and
- All four cabinets perform well above average as the chart minimum is 1x zone.
The Performance Matrix is applicable to various segmentations and groupings, which helps GPD users with additional insights to high and low performance. Cabinet trending of various machines within datasets can determine approaching points of saturation or performance opportunities to exploit. The Data Insights Report is a supplement to the Monthly Game Performance Report but is free to all operators currently participating in the GPD.