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This canvas performs comprehensive user behavior analysis on Zerve platform event data to identify success factors and user segmentation. It loads 41 blocks that cleanse event logs, categorize activities by type (workflow, execution, AI usage, deployment, etc.), engineer user-level features (activity counts, engagement duration, lifetime value), classify users into four tiers (casual to power user), and visualize success patterns through cross-tabs, correlation heatmaps, and statistical comparisons to reveal that deployment activity and multi-day engagement are key predictors of platform success.