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This analysis explores how user behaviors and workflows influence long-term retention on Zerve. By combining machine learning, explainable AI, clustering, and event-sequence analysis, the project identifies key behavioral signals that differentiate successful users from churned users. Results highlight the importance of multi-day activity, feature exploration, and AI-assisted workflow usage in driving engagement Using Zerve AI.