Overview
Amplifier AI’s Game Recommendations Engine delivers personalised game recommendations that drive player engagement and broaden game preferences, directly contributing to increased revenue for casino operators. This AI-driven engine utilises advanced AI models to analyses player behaviour and generate recommendations in real-time or through batch processing.
Recommendation Categories
The Game Recommendations Engine provides various types of recommendations to meet different use cases, with each category tailored to serve a specific carousel or feature on-site:
- Recommended for You: Personalised recommendations generated from an ensemble of AI models, based on historical player behaviours.
- New Games: Newly launched games that may suit the player’s preferences.
- Because You Played: Recommendations based on previously played games.
- Players Like You: Recommendations based on popular games among players with similar behaviours.
- Your Favourites: Games frequently played and enjoyed by the player.
- New Players Recommendations: Personalised selections for new players, focusing on games that show high conversion rates.
- New Players Conversion: Targeted suggestions for new players in the early stages of their journey.
If a player has no transaction history, they receive the new player recommendations. These are non-personalised recommendations (i.e. all new players get the same recommendations) that are designed to active brand new players who have no prior activity.
Recommendations can also be customised based on data availability to ensure compliance with local jurisdictions and game type specifications (e.g., slots-only recommendations where applicable).
For more information:
- Discover how Game Recommendations work.
- Learn how we measure performance to showcase ROI and other key metrics.
- Refer to our Integration Requirements Guide for Amplifier AI Game Recommendations integration.
Still have questions? Check out our FAQs for further assistance.