Analytics · Predictive
Predictive
Satisfaction Score
Predict customer satisfaction before feedback is collected, and intervene before issues escalate.
Predicted satisfaction
Near real timePredicted avg score
72.9/100
Predicted NPS
+42
Risk distribution
Top satisfaction drivers
Illustrative output. Real models are built on your data.
Overview
Stop waiting for the survey
Surveys only reach the customers who answer, and only after the experience has already happened. Predictive Satisfaction Score uses behavioral, operational, and interaction data to estimate how every customer feels right now, so you can act before dissatisfaction turns into churn.
The silent majority
Most unhappy customers never say a word. They simply leave. Prediction surfaces them while you can still act.
What you get
- Predicted satisfaction score for every customer
- At-risk customers surfaced before they churn
- Driver-level insight into what moves satisfaction
- Segment and priority analysis
- Integration into your CRM and retention workflows
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Unified survey, behavioral, and operational dataset
Real-time scoring and risk visibility
Driver analysis behind every prediction
Continuous scoring across the customer base
How it works
From signals to early warning
Unify
Combine survey, behavioral, and operational signals into one dataset.
Predict
Score satisfaction and risk continuously, without waiting for a survey.
Explain
Surface the drivers behind each prediction so action is obvious.
Intervene
Route at-risk customers into outreach and retention workflows.
Market reality
Why this matters now
96%
of dissatisfied customers never complain directly, but many silently churn
Source: Esteban Kolsky
67%
of churn is preventable if issues are resolved in the journey
Source: ThinkJar