Player retention analytics are crucial for arcade game developers seeking to understand and improve player engagement. The most common types include Daily Active Users (DAU) and Monthly Active Users (MAU) tracking, which measure the sheer volume of players interacting with the game over specific periods. The ratio of DAU to MAU provides a strong indicator of stickiness. Churn rate analysis is another fundamental metric, identifying the percentage of players who stop playing within a given timeframe, helping developers pinpoint when and why users leave. Player progression tracking monitors how users advance through levels, complete challenges, and unlock achievements, revealing potential friction points or areas of high engagement. Session analytics, including session length and frequency, offer insights into how often and how long players are immersed in the game. Finally, monetization funnel analysis examines the player's journey from a free user to a paying customer, highlighting conversion rates and the effectiveness of in-game purchases or advertisements. By leveraging these analytics, developers can make data-driven decisions to enhance gameplay, reduce attrition, and ultimately build more successful and enduring arcade games.