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Recommendations to Reality: Diamonds in the Rough

Find out what happens as one customer uses Slot Recommendation Engine to analyze their casino floor and to get recommendations.

This is the second case study in the Slot Recommendation Engine series from VizExplorer. The series follows the story of one casino’s journey to improve its casino floor. A new article will be released each month covering the results the casino has realized thus far, including improvements in slot performance (ROI), time savings and where the casino is a year later.

 

A Big Hit Solution

 

In the first post of this case study series, ‘Recommendations to Reality: Using Automated Analysis to Drive Slot Performance,’ we covered how one Pacific Northwest-based casino was looking for a new way to make more informed game change decisions. To enhance the effectiveness of the analysis process and drive better floor performance, the casino’s data analytics team decided to leverage VizExplorer’s Slot Recommendation Engine (SRE). And, after confirming that SRE worked as promised, the casino was ready to put SRE to the test and take advantage of the game change recommendations it provided.

 

Easy Money

 

While the casino’s data analytics team usually only had enough time to analyze the top and bottom 20 percent performing slot machines, SRE gave them additional insight into the 60 percent of slots in the middle and provided recommendations for which games to add, remove, reconfigure or move. These are games that would have otherwise been overlooked due to their performance but had the potential to increase returns.

 

For the first project, SRE recommended replacing one dozen units spanning across three different themes — each of which was performing under section and floor averages — with three themes that were currently outperforming section and floor averages in other areas of the casino.

 

  • Recommendation #1: Replace four units of Rawhide with four units of Dragon Lines
  • Recommendation #2: Replace four units of Garden of Amazon with four units of Copper Classic
  • Recommendation #3: Replace four units of Myth of Gold with Wild Monkey

Cabinet replacement results.

 

End to end, the entire project took approximately one hour to identify, strategize and set into

Quote from the director of slots about saving $12,000.

motion, and then game changes were complete by the end of the week.

 

Had the casino’s data analytics team gone through the same process independently, it would have taken at least one month from analysis to implementation of the new games. 


What further validated the team’s confidence in the tool was how detailed the recommendations were. The recommendations included comparisons across multiple KPI’s and against different benchmark averages. SRE didn’t just suggest which changes/moves to make with data but also estimated the expected lift. Even better, the changes made cost nothing because the recommendations were games that the casino already had available in its inventory.

 

 

 


Case Study Series #2 Progress Report

 

One month after making the recommended game changes, the casino was already seeing the impact — the recommended changes not only met the expected lift outlined by SRE but far surpassed the projections.

 

Results of net lift.

 

After seeing the exceptional results of the first project return an average of +91% net lift, the casino is already looking at what it can achieve next with the Slot Recommendation Engine. The aggregated one-month total net lift of this single slot project provided an ROI that covers the monthly cost of SRE 17x over.

 

Post Forma results.

 

Now knowing the tool’s full capabilities, the casino plans to set more custom rules and parameters within SRE to deliver more targeted recommendations. The director of slot operations hopes that, in the future, they can simply export the recommendations and send them to the team for them to prioritize and execute. Doing so would give them more time for other value-add activities, including further developing the team and investigating other revenue streams.

 

Quote from the director of slots: "I was watching those games very closely and kind of doubted that they would achieve the projected return, so it was great to see that not only were they making money but also that I was filling a need for my players."

 


 

Check back next month for the third installment of the Recommendations to Reality case study series. 


Want to learn more about the Slot Recommendation Engine? Schedule a demo or start your free trial today!

 

Vince Catalano

Vince is the Sr. Director of Customer Success & Gaming Analytics, responsible for floorViz, techViz, and Slot Recommendation Engine (SRE) on the VizExplorer team. He has over 15 years of progressive leadership experience within the gaming industry. Prior to joining VizExplorer, Vince was in the position of Director of Slot Operations at Golden Nugget Las Vegas. In his capacity, Vince was responsible for slot strategy formulation and implementation. Throughout his experience, Vince has developed a passion for in-depth slot analytics and player behavior which collectively lend themselves to provide insights into game placement and the optimization of product mix. Through this, he has been able to affect strategic business growth. Vince has a proven record of accomplishment within the gaming industry creating strategies for casino operators. Vince earned his undergraduate degree in Hospitality Management from the University of Central Florida and his MBA from the Lee Business School at the University of Nevada, Las Vegas.

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