CUSTOMER RETENTION DECISION INTELLIGENCE

Retention Command Center

Analyze customer churn risk, understand model signals, evaluate interventions, and make retention decisions.

Live Analysis
Request: โ€”
โ— Status: Production
Uptime: 0s
Predictions: 0
P95 Latency: 0 ms
Success Rate: 100%
01

Customer Profile

Enter the customer's current account and service information.

Prediction Input

Forecast Settings

Required
1โ€“72 months
1โ€“36 months

Customer Basics

Profile

Billing & Account Value

Financial

Telephone Services

Services

Internet Services

Services

Entertainment Services

Services
02

Risk Overview

Current modeled retention risk.

Projected Churn
โ€”
Probability over forecast horizon
Projected Retention
โ€”
Probability of remaining active
Hazard Multiplier
โ€”
Relative modeled risk signal
Risk Tier
โ€”
Run an analysis to calculate risk.
03

Forecast Timeline

Survival and retention trajectory across the selected horizon.

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Forecast visualization

Run a customer analysis to populate the survival forecast.

Current Tenure โ€”
Forecast Horizon โ€”
Target Month โ€”
Target Retention โ€”
04

Why Is This Customer At Risk?

Model signals and business context behind the prediction.

Top Risk Drivers

Model signals
โ€”

Prediction drivers will appear here.

Protective Signals

Model signals
โ€”

Protective signals will appear here.

05
RETENTION OPERATIONS

Intervention Intelligence

Ranked retention actions based on customer risk, operational rules, modeled outcomes, and planning economics.

No interventions yet

Run a prediction to generate retention actions.

Intervention recommendations are decision-support outputs based on model signals, business rules, simulations, and planning assumptions. They are not guaranteed causal treatment effects.
06
WHAT-IF ANALYSIS

Retention Intervention Simulator

Explore how alternative customer configurations affect the model's projected risk.

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No simulation yet

Select one or more changes and run a what-if simulation.

07
ECONOMIC INTELLIGENCE

Retention Economics

Planning estimates for evaluating potential retention actions.

Customer Value โ€” Planning assumption
Estimated Value Preserved โ€”
Estimated Net Value โ€”
Estimated ROI โ€”

Recommended Intervention

โ€”
Run a prediction to calculate intervention economics.
Economic outputs are planning estimates based on configured assumptions and modeled outcomes. They are not observed financial results or causal measurements.
08
DECISION INTELLIGENCE

Final Retention Decision

Recommended operational response based on risk, business signals, intervention evaluation, and planning economics.

No decision generated

Run a customer prediction to generate retention decision intelligence.