Question: Can you recommend a solution that uses AI to personalize game recommendations and increase user engagement?

If you want to use AI to personalize game recommendations and increase user engagement, Gamelight is a great option. It uses AI to analyze user behavior and app usage data to build detailed profiles that can be used to infer gaming preferences and playtime. The platform can provide personalized game recommendations, a loyalty program for retention, and a sophisticated ROAS algorithm to optimize ad spend. This makes Gamelight a good option for improving user experience and increasing engagement.

Another great option is VAIX, which is specifically designed for the iGaming industry. VAIX offers personalized recommendations for both sports and casino games, and it integrates with frontend and CRM systems to provide a personalized experience. With features like personalized bet and game recommendations, acquisition marketing, and responsible gambling, VAIX is designed to perform well and learn continuously.

If you're looking for a more general purpose AI-powered recommender, Recombee is a scalable and flexible option. This service uses AI to provide real-time recommendations across many industries, including gaming. With deep-learning and content-based filtering, Recombee can provide highly personalized and relevant results, which can lead to a significant increase in user engagement and sales.

Finally, GameAnalytics offers a full analytics suite for game developers. It's geared more toward insights into game development than toward direct user recommendations, but it offers detailed player behavior tracking, growth experiments and a wide range of data integrations. This can help game developers make data-informed decisions about how to increase user engagement and game monetization.