Customers signal intent weeks before reports do.
Departure risk, reactivation probability, and revenue readiness are already in your transaction data. Behavioural intelligence surfaces them 45 days before management reports do. Built on the patterns African financial services actually produce.Assess Strategic FitCustomer Value ManagementIndividual-level intelligence that grows revenue per customer. Make segment of one a reality.
Churn PreventionDetect customer departure risk 45 days before your reports surface it.
Customer ReactivationDormancy is not churn. Score reactivation probability and invest where the economics justify it
Inaction has a price
Lagging indicators
Your reports arrive on time. Your customers left weeks ago. By the time risk surfaces in a dashboard, the cost of winning them back has multiplied several times over.Leading indicators
The signals are already in your transaction data. Frequency shifts, value decay, channel migration. They surface customer intent weeks before any report does. The question is whether your systems are detecting them.Purpose-built for African financial services
Global predictive analytics platforms assume stable identity, consistent connectivity, and single-device journeys. African financial services operate differently: agent-mediated distribution, intermittent usage, multi-SIM behaviour, and overlapping product relationships. Okestreta's models are calibrated to these patterns, not imported from contexts where they do not apply.Tier 1 Mobile Money OperatorEast Africa. Behavioural churn models co-developed against millions of mobile wallet transactions.
Leading Pan-African BankBehavioural segmentation and early warning systems under evaluation for retail banking portfolio.
Clean Energy Fleet OperatorEast Africa. Designing an early warning risk engine and behavioural incentive framework for lease-to-own motorcycle fleet financing.
Diagnose before you intervene
One intelligence layer powers three applications. Churn signals sharpen cross-sell timing. Reactivation patterns refine retention targeting. Each application strengthens the others.Customer Value Management
Your highest-value customers are not your most obvious ones. Individual-level behavioural signals reveal which customers are approaching a product decision, an income event, or a channel shift before your campaigns reach them.Churn Prevention
Departure risk is visible 45 days before it appears in your reports. The question is not whether a customer is leaving. It is whether you are acting while the economics still justify it.Customer Reactivation
Dormancy is not churn. Some inactive accounts are gone. Others are recoverable. Reactivation probability scoring tells you which is which, and where the intervention economics justify re-engagement.Assess if it works before you commit
1
Integrate
Side-chain integration with your existing systems. Read-only access. No production risk. No cross-border data transfer.2
Pilot
90-day proof of value with treatment and control groups. Statistical significance required. Joint measurement.3
Scale
Expand validated models across products and geographies. Each application strengthens the others.Start with your highest-value use case
Not every operator is ready for behavioural intelligence. Not every use case justifies the investment. A 45-minute consultation establishes whether the fit is real before either side commits.Your data stays on your infrastructure.
Your metrics define success.
Your results drive expansion decisions.