Data-Driven Game Design: F2P Monetization and Analytics

Creating a successful free-to-play game requires more than just fun gameplay; it demands a deep understanding of player behavior and sustainable revenue models. This course guides you through the core principles of designing and monetizing games using data-driven insights. You will transition from a traditional game design mindset to a modern, analytical approach. By understanding how players interact with your game, you will learn to make informed design decisions that improve player retention, optimize user acquisition, and boost conversion rates ethically. What you'll learn: - Understand the foundational business models of free-to-play (F2P) games and modern hybrid monetization strategies. - Analyze player behavior metrics and key performance indicators (KPIs) to identify retention bottlenecks. - Design engaging core loops, progression systems, and ethical in-app purchase mechanics that respect the player. - Implement data-driven LiveOps strategies and MVP testing to continuously optimize game performance. - Apply modern user acquisition techniques and virality loops to grow your player base sustainably. The course begins with essential F2P terminology and business models before moving into player psychology, progression design, and analytics frameworks. You will read real-world scenarios and complete written exercises designed to help you map out monetization structures for your own game concepts. This course is designed for aspiring game designers, indie developers, and product managers who are new to the F2P model. No prior experience in game development or data science is required. Start reading today to master the balance between engaging gameplay and profitable game design.