Player engagement in media, entertainment and gaming industries is a critical succes factor and measured by a number of KPIs. Advanced analytics, AI ML and now generative AI are key to customer engagement – for example in gaming , identifying player's gaming /exit patterns, improving customer segmentation and personalisation .These capabilities are key to help reduce churn, improve loyalty and importantly enhancing player experience including decisions for game design.

Our Player Engagement solution accelerator is powered by Amazon advanced machine learning algorithms on Sagemaker, and AWS native services like Amazon Personalise , as well as AWS Generative AI on AWS using Foundation models and Amazon Bedrock.

The solution has four main components /use cases:

• Churn prediction/ Exit pattern detection: understanding factors influencing players to end game play
• Player behaviour analytics: Player behaviour analytics with player segmentation to enable more targeted recommendations and offers
• Real time recommendation System: Scalable and real-time recommendation engine leveraging AWS Personalize based on player preferences, behaviours on different channels and the player segmentation
• In-game personalisation: powered by AWS GenAI, players can customise or create custom 3D avatar with prompts which can be rendered for game play.

With this solution, gaming companies can enhance productivity, reduce operational costs, and create a thriving gaming community with a loyal player base