The metaverse engagement ladder: How virtual world users progress from casual explorers to high-value power users

As blockchain-based metaverse platforms evolve into mature digital economies, understanding user behavior becomes essential for optimizing engagement and sustaining economic activity. This study introduces the metaverse engagement ladder, a novel behavioral framework designed to map user progression across three distinct tiers: new, established, and veteran participants. Drawing on a dataset of 78,600 blockchain transactions from five global regions, the study applies behavioral analytics to examine login frequency, session duration, and transactional patterns. The results reveal that user engagement follows a predictable lifecycle, with conversion rates reaching 70.2% during the established phase and declining to 0% at the veteran stage as users transition to management activities. Cross-regional comparisons indicate behavioral consistency across continents, with coefficients of variation below 1.6% for key metrics. The study identifies a behavioral sweet spot combining 45-90 minute sessions with 3-5 daily logins that produces 61.1% conversion rates, compared to 30.4% for shorter sessions and 0% for extended sessions. Statistical analysis using one-way analysis of variance confirms significant differences in engagement patterns across user tiers (F = 2847.3, p < 0.001), while correlation analysis reveals strong positive relationships between login frequency and session duration (r = 0.89, p < 0.001). Independent cluster validation confirms the three-tier structure with silhouette coefficient of 0.71. Grounded in theories of digital engagement, technology acceptance, and behavioral economics, this research provides empirical benchmarks for platform design, user experience optimization, and tier-specific security strategies.