Technology — Enterprise SaaS Platform Provider
Predictive churn modeling that saved $95M in annual recurring revenue
An enterprise SaaS company partnered with Arete to build predictive churn models across 4,800 enterprise accounts, enabling proactive retention at scale.
ARR saved in year one
Enterprise accounts modeled
Churn prediction accuracy
The Challenge
The client's retention efforts were reactive — teams only engaged when customers explicitly signaled intent to leave. By then, 70% of at-risk accounts had already made their decision.
Our Approach
Arete built predictive models analyzing 140+ behavioral signals across product usage, support interactions, billing patterns, and engagement data. The system scores all 4,800 accounts daily and triggers automated intervention workflows.
Results
The model achieved 84% accuracy in predicting churn 90 days in advance. Proactive interventions saved $95M in ARR in the first year, and the customer success team's efficiency improved 3x.
“We went from fighting fires to preventing them. The ROI was obvious within the first quarter.”
VP of Customer Success, Enterprise SaaS Provider
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