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HomeCase StudiesAI Churn Prevention — Global Telecom (4.2M Subscribers)
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AI Churn Prevention — Global Telecom (4.2M Subscribers)

Churn -34% | Retention ROI 8:1 | $24M revenue protected
14 weeks

The Problem We Were Brought In To Solve

Global telecom: 4.2M subscribers, 18% annual churn costing $34M in replacement CAC. Existing churn model 2 weeks ahead — too late for intervention.

How Revino Delivered

ML churn prediction with 90-day horizon, 84 predictive features, personalised retention offer recommendation, automated outreach.

Measurable Business Impact

Churn: 18%→11.9% (-34%)
Retention programme ROI: 8:1
$24M annual revenue protected
Prediction accuracy: 84% at 90 days
Campaign relevance: +3.2× vs blanket
PythonXGBoostLightGBMKafkaAWS SageMakerSalesforce Marketing Cloud
Telecommunications IndustryAI Automation & AnalyticsAI & ML Engineering
KEY METRICS
-34%
Churn rate
8:1
Retention ROI
$24M
Revenue protected
84%
Prediction accuracy
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