Mobile Money

Campaign activity is not customer activity.

Customers activate during promotions, collect the reward, and disengage. Growth dashboards register the spike but not the drop-off that follows. Active-user counts overstate real engagement and the acquisition economics never compound. Behavioural intelligence enables the interventions that transform incentive-dependent customers into self-sustaining transactors.Break the Subsidy Cycle

The Subsidy Trap

Promotions generate transaction volume that disappears when the promotion ends. The cost is not just wasted spend. It is a trained dependency: customers learn that transacting without an incentive has no reward, and the MNO learns that growth requires continuous subsidy. Behavioural intelligence identifies which customers are building organic habits and which are subsidy-locked, then sequences interventions that break the dependency before it compounds.

Behavioural Segmentation

Campaign dashboards count transactions. They do not distinguish customers building habits from those renting access for the reward. Behavioural segmentation distinguishes self-sustaining transactors from promotion-dependent ones before the next campaign budget is allocated.

Organic vs incentive-driven classification

Promotion dependency scoring

Campaign ROI attribution

Habit Conversion

After every campaign, there is a window where habit either forms or does not. Behavioural orchestration across SMS, USSD, and agent touchpoints sequences the right use case at the right moment to convert incentive-triggered activity into self-sustaining transaction frequency.

Post-campaign retention sequencing

Use case progression design

Frequency prediction models

Campaign Intelligence

Standard campaign reporting stops at redemption. It does not track whether a converted customer transacted again without an incentive. Closed-loop measurement connects campaign spend to sustained behavioural change, attributing real habit formation to specific interventions.

Post-incentive behaviour tracking

Subsidy-to-habit conversion rates

Campaign design optimisation

African Market Intelligence

Agent network economics, seasonal cash flow patterns, and USSD session constraints shape how subsidies are structured and how habits form. Generic engagement frameworks miss these structural differences.

Agent network economics

USSD native engagement

Seasonal pattern adaptation

Compounding Intelligence

Behavioural segmentation sharpens campaign targeting. Campaign intelligence refines habit conversion. Habit data improves segmentation accuracy. One behavioural layer. Each application strengthens the others.

90-day engagement pilot

We integrate with your transaction and campaign data, build behavioural models that distinguish organic from incentive-dependent activity, and run a treatment-versus-control test. Within 90 days you see which users retained post-campaign, at what intervention cost, and whether behavioural targeting outperformed standard re-promotion.

Segment

Classify your active base by behavioural dependency. Organic transactors versus promotion-dependent ones.

Convert

Deploy habit-building interventions through optimal channels during and after campaign windows.

Prove

Treatment-versus-control test shows post-campaign retention, subsidy reduction, and behavioural vs re-promotion performance.

From Rented Activity to Built Behaviour

90-Day Value Proof

Measurable post-campaign retention improvement within first deployment quarter

Transaction-Based Pricing

Performance model aligned with your campaign economics

Data Sovereignty

On-premise deployment ensures complete regulatory compliance

Assess Engagement Economics