Personalization and Experimentation

Personalization and experimentation in games enhance player retention and promote sustainable long-term engagement. By tailoring experiences to individual play styles, preferences, and activities, developers create unique journeys for each player. This customization improves various game aspects, including matchmaking, onboarding, and store offers. Personalization and Experimentation solutions on AWS use machine learning (ML) models, customer analytics, and game backend technology to rapidly identify player needs, inform strategy, and deploy personalized features. These tools help developers understand and respond to distinct player requirements, ultimately creating more engaging and profitable games.