Meridianbet, sports betting and iGaming operator and part of the Golden Matrix Group (NASDAQ: GMGI), a developer and licensor of online gaming platforms, today announced the launch of an AI-powered casino game recommender.
This tool is designed to optimize user engagement and gaming experience and boost player loyalty.
Personalized iGaming Powered by AI
Meridianbet’s AI Casino Recommender uses advanced AI to offer personalized game recommendations based on player behavior, previous activities, demographic data, and individual preferences.
How It Works
The AI engine analyzes extensive data to identify unique player patterns and preferences, providing recommendations in two sections:
- Games You’ve Tried: Highlights games that players have already played.
- Games You Might Like: Introduces new games based on player behavior and preferences.
Ongoing Model Updates
The AI model is trained daily to stay current with player behaviors and preferences, ensuring accurate and engaging suggestions.
Success Metrics
Key metrics from the first month of use show:
- 3% increase in user engagement with recommended games.
- 9% increase in engagement with new recommended games.
- 12% decrease in engagement with unrecommended games.
Upcoming Upgrades
Future improvements will include more detailed demographic details and playing patterns to enhance search functionality.
Unique Competitive Advantage
Meridianbet’s AI casino recommender focuses on enhancing user experience and platform ergonomics, making the gaming experience more enjoyable.
Strategic Fit and Market Potential
This feature aligns with Golden Matrix Group’s strategy to leverage advanced technology for user engagement and growth. The broader ecosystem includes:
- Meridianbet’s sports betting and iGaming services across 18 markets.
- RKings’ tournament business in the UK and Ireland.
- Mexplay, an iGaming operator in Mexico.
- GMAG, a B2B aggregator service for over 800 online casinos worldwide.
The post Meridianbet (Golden Matrix Group, Inc) Launches AI-Powered Online Casino Game Recommender appeared first on European Gaming Industry News.
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