Predicting Long-Term User Success from Behavioral Patterns
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Predicting Long-Term User Success from Behavioral Patterns
Users with >10 events are defined as successful (24.4% of all users). Key findings: successful users explore 16.6 unique event types on average — 8x more than non-successful users (2.0 types). 92% of successful users engaged with AI Agent features, compared to only 42% of non-successful users. Early AI Agent engagement and broad feature exploration are strong predictors of long-term retention.


