CUSTOMER & REVENUE ANALYTICS
Your customers are showing churn signals right now.
Basket decline. Promo dependency. Reduced purchase frequency. The signals were always there. We build AI-powered customer intelligence systems that surface churn risk 60–90 days before revenue disappears.
€21.5M
Revenue protected before churn happened
34K
At-risk customers identified early
11.9×
ROI delivered in Year 1
How silent churn actually happens.
Most enterprises notice churn after the revenue disappears. We detect it while customers are still recoverable.
01
Healthy Customer
Stable frequency, healthy basket size and category engagement.
02
Basket Decline
Average order value starts decreasing across key categories.
03
Promo Dependency
Customer only purchases when aggressive discounts appear.
04
Reduced Frequency
Buying intervals widen and engagement weakens rapidly.
05
Silent Churn
Silent
Churn
Revenue disappears long before traditional reporting catches it.
Revenue analytics built for retention teams.
Predictive systems designed for enterprise customer, retention and commercial teams operating at scale.
Revenue analytics built for retention teams.
Predictive systems designed for enterprise customer, retention and commercial teams operating at scale.
Churn Prediction Models
90-day-ahead churn probability scoring with intervention prioritization and commercial value ranking.
Customer Lifetime Value
Probabilistic CLV models by cohort, channel and product category.
Behavioral Segmentation
AI-driven customer clusters built from purchasing behavior, frequency and promotion sensitivity.
Commercial Pipeline Intelligence
Deal velocity tracking, pipeline health scoring and revenue forecasting systems.
What enterprise customer intelligence actually looks like.
Real-time retention visibility, churn prediction and customer health monitoring built for modern enterprises.
Churn Risk Trend
LAST 90 DAYS
Jan
Feb
Mar
Apr
May
Retention Score
91%
+12%
Retention Growth
34K
Customers Tracked
How much revenue are you losing to silent churn?
Bring 2–3 customer examples. We’ll tell you if our models would have caught them early.