A vital component of dynamic monetization is player segmentation. Machine learning models analyze past player data and behavior, including their gameplay patterns, in-game reactions, and purchase history. With this data, they can swiftly estimate a player’s future Lifetime Value (LTV) or the amount they’re likely to spend on in-app purchases based on their initial gameplay session.

AI/ML (Artificial Intelligence/Machine Learning) and data science are powerful tools used in game development.

By using data from the early play sessions of the players,

We can build a more sophisticated and robust model that predicts value of player

We can then apply that model to new players to Methodically improving the play experience and boosting KPIs