Product

The 45-Day Churn Blind Spot

Departure risk is visible in transaction patterns 45 days before any metric surfaces it. The question is whether your systems are detecting it while the intervention window is still open.Assess Retention Economics

The cost of late detection

By the time churn surfaces in a report, the low-cost intervention window has closed. Transaction velocity shifts, channel migration, and agent network disengagement are already visible in your data. They signal departure 45 days earlier. The difference is structural: act on behavioural signals and you intervene when retention economics justify it. Act on reports and you intervene when they no longer do.

Early Warning System

Your reports arrive monthly. Risk scores update daily. Every customer carries an individual departure probability that reflects their latest transaction patterns, not last quarter's segment average.

45-day advance warning

High prediction accuracy

Daily risk score updates

Predictive Risk Scoring

Individual risk trajectories update with every interaction, not segment averages. Each score explains which behavioural shifts drove the change, with confidence intervals that distinguish strong signals from noise.

Individual risk profiles

Reason code explanations

Confidence intervals

Retention Campaigns

Intervention deploys when retention probability peaks, not when the marketing calendar says. Multi-channel orchestration across SMS, USSD, and agent networks matches the customer's preferred channel at the right moment.

Automated trigger campaigns

Personalised incentives

Multi-channel orchestration

Compounding Intelligence

Churn signals sharpen cross-sell timing. At-risk patterns improve reactivation targeting. Retention responses refine dormancy detection. One behavioural layer. Each application strengthens the others.

Churn signals sharpen cross-sell timing.Early intervention timing favours retention over replacement economics.

Cross-sell patterns reveal dormancy causes.Behavioural targeting reduces campaign waste by intervening only where probability warrants it.

Precision timing compounds across every intervention.Models distinguish strong attrition signals from noise, enabling systematic intervention deployment.

90-day retention pilot

We integrate with your transaction data, build behavioural attrition models against your portfolio, and run a treatment-versus-control test. Within 90 days you see which customers were at risk, when intervention was optimal, and whether behavioural signals outperformed your existing approach.

Detect

Identify at-risk customers through behavioural signals in your transaction data.

Intervene

Deploy precision retention campaigns timed to peak retention probability.

Prove

Treatment-versus-control test shows retention rates, intervention timing, and behavioural vs traditional economics.

Preserve Revenue Through Early Detection

Stop absorbing the structural cost of late intervention. Behavioural intelligence transforms retention from reactive reporting into predictive capability.45-minute executive consultation. We assess strategic fit before asking you to commit.

Predictive models calibrated to your attrition patterns.

Intervention economics validated in your environment.