Predictive Analytics That Slashed Subscriber Churn by 41%
A churn-prediction platform flagging at-risk subscribers 45 days early, powering save-offers that cut churn 41%.
Client: TeleGrid Communications
The Challenge
TeleGrid was losing 2.8% of subscribers monthly and discovering cancellations only after the fact. Retention teams worked from static reports that lagged reality by weeks.
Our Solution
We engineered a feature pipeline on AWS processing call quality, billing events and support sentiment daily, feeding a gradient-boosted churn model. A Next.js retention dashboard scores every subscriber and triggers targeted save-offer workflows automatically.
The Results
The model flags 82% of eventual churners 45 days in advance. Targeted retention campaigns cut monthly churn by 41%, protecting an estimated $4.2M in annual recurring revenue.
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