A recent case study reveals that a casino operator with 615,000 monthly active users (MAU) in the CIS region achieved a remarkable 14% increase in Gross Gaming Revenue (GGR) by implementing machine learning (ML) recommendations.
The operator replaced the manual game selection process in the 'Recommended for You' section with the MICo solution, which provides personalized recommendations for each player.
Inside the case study, you'll discover:
- Why the operator decided to implement the ML solution
- How changing just one block in the lobby led to a 14% GGR increase across the entire casino in just four weeks
- Whether it's possible to uplift the platform without attracting new players
For a complete analysis, read the full case study.
Contact the demo manager for more information.