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Business challenge
A SaaS company needed to identify churn risk earlier than renewal month.
Implementation
We built a churn model using product usage, support activity, account age, plan type, login behavior, and prior renewal history to surface accounts needing proactive attention.
Reported outcomes
82%
Churn-risk precision
11
Risk signals modeled
28%
Earlier intervention window