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Prediction Details

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Customer Churn Forecast

High Risk

Model: ChurnNet-v4 (Gradient Boosted Trees) · Updated 4 hours ago

At-Risk Accounts

142

Revenue at Risk

$284K

Model Confidence

89%

Accounts Scored

3,412

Last trained Jul 18, 2026

Risk Segmentation

3,412 accounts scored

Critical (>80%)

142

4.2% of base

Elevated (50-80%)

486

14.2% of base

Healthy (<50%)

2,784

81.6% of base

Top Feature Drivers

Login frequency decline (30d)0.34 impact
Open/unresolved support tickets0.27 impact
Days to contract renewal0.19 impact
Feature adoption breadth0.12 impact
NPS survey sentiment0.08 impact

Top At-Risk Accounts

View all →
Account Churn Probability MRR Key Signal Trend
Northwind Traders 94% $4,200 Login frequency down 80% Worsening
Blue Harbor Co. 88% $2,800 3 unresolved support tickets Worsening
Summit Retail Group 76% $6,100 Contract renewal in 14 days, no engagement Stable
Cascade Analytics 71% $1,950 Feature adoption below cohort avg Stable
Ironclad Freight 68% $3,400 NPS score dropped to 4 Improving

Suggested Action

Trigger a proactive check-in campaign for accounts scoring above 85% — historically this reduces churn by 22% when initiated within 48 hours.

Model Accuracy Trend

Apr 202684.1%
May 202686.4%
Jun 202687.8%
Jul 202689.0%
Precision / Recall 0.86 / 0.81

Model Details

  • AlgorithmGradient Boosted Trees
  • Training Set18,204 records
  • Features Used32
  • Retrain CadenceWeekly
  • Next RetrainJul 25, 2026

Recent Activity

  • Model retrained
    Jul 18, 2026 · accuracy +1.2%
  • Check-in campaign sent
    Jul 16, 2026 · 38 accounts
  • 3 accounts moved out of risk band
    Jul 12, 2026