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This comprehensive machine learning pipeline predicts long-term user success from first-week engagement patterns by engineering 40+ behavioral features across 4,771 users and training 6 predictive models (achieving 97-100% AUC-ROC) to identify early success signals for customer retention and expansion interventions.