Product

The 45-Day Blind Spot

Transaction velocity shifts, agent network disengagement, and channel migration patterns expose attrition risk 45 to 60 days before traditional indicators across mobile money, banking, and insurance. Behavioural intelligence intervenes when retention probability is highest and switching costs are in your favour.Preserve Customer Value

Preserve Portfolio Value

Standard churn metrics are lagging indicators. By the time they surface risk, the low-cost intervention window has closed. Transaction velocity shifts, agent network disengagement, and channel migration patterns are leading indicators. They signal attrition 45 to 60 days earlier. The difference is structural: institutions acting on behavioural signals intervene when retention probability peaks. Institutions acting on reports intervene when it has passed.

Early Warning System

Behavioural signals predict attrition 45 to 60 days before traditional metrics across mobile money, banking, and insurance. Daily risk updates, not quarterly reports. Built to satisfy CBK, MFSA, Reserve Bank, and FIDA reporting requirements.

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

Automated interventions when retention probability peaks. Multi-channel orchestration across SMS, USSD, and agent networks.

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.

StructuralChurn ReductionEarly intervention timing favours retention over replacement economics.

LowerRetention CostBehavioural targeting reduces campaign waste by intervening only where probability warrants it.

PredictiveConfidenceModels 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.Executive consultation to assess churn prediction deployment within your portfolio, evaluate at-risk patterns, and model retention economics.

Predictive models calibrated to your attrition patterns.

Intervention economics validated in your environment.