Player progression analytics are crucial for understanding user behavior and improving arcade game design. The most common types of analytics focus on quantifying player advancement and skill development. Score progression tracking is fundamental, monitoring how a player's high score improves over time. Level completion analytics track the rate at which players progress through different game stages, identifying difficulty spikes. Skill-based metrics analyze specific player abilities, such as accuracy, reaction time, or combo mastery. Engagement metrics measure session length, frequency of play, and player retention rates. Unlock and achievement tracking monitors how players interact with game rewards and milestones. Resource accumulation analytics, common in games with currencies or power-ups, track how players gather and spend in-game assets. Finally, social progression metrics compare a player's performance against friends or a global leaderboard. Together, these analytics provide a comprehensive view of the player journey, enabling developers to balance difficulty, enhance engagement, and ultimately create a more satisfying gaming experience.