Product

Dormancy is not churn.

Most reactivation campaigns treat all inactive accounts as identical. They are not. Seasonal dormancy, channel migration, and operational disengagement are structurally different problems with different recovery economics. Behavioural intelligence distinguishes which accounts will return, through which channel, at what incentive threshold.Unlock Dormant Value

The cost of blanket reactivation

Mass reactivation spends the same on unrecoverable accounts as on those likely to return. Without propensity granularity, campaigns over-target and over-incentivise. Behavioural signals such as transaction velocity trends, channel migration patterns, and dormancy duration distinguish returnable customers from permanently disengaged accounts before a single campaign dollar is spent.

Reactivation Scoring

Transaction velocity trends and channel migration patterns distinguish returnable customers from permanently disengaged accounts. Seasonal dormancy, agent-network inactivity, and digital abandonment each produce different behavioural signatures with different recovery probabilities.

Propensity modelling

Dormancy reason analysis

Recovery probability scoring

Win-Back Campaigns

Automated campaigns with regulatory-compliant incentives across SMS, USSD, and agent networks. Multi-channel orchestration adapts based on customer response patterns.

Automated journey orchestration

Multi-channel coordination

Response-based adaptation

Minimum Viable Incentive

Every unnecessary incentive is margin erosion. Most campaigns over-incentivise because they lack propensity granularity. Behavioural intelligence determines the minimum effective offer for each customer based on dormancy reason, historical preferences, and reactivation probability.

Preference learning

Dynamic offer optimisation

Incentive cost reduction

Compounding Intelligence

Dormancy patterns sharpen churn detection. Campaign responses refine cross-sell timing. Reactivation signals improve retention targeting. One behavioural layer. Each application strengthens the others.

SignificantReactivation RatePrecision targeting through behavioural intelligence outperforms mass-campaign approaches.

LowerCampaign CostIncentive efficiency when behavioural intelligence determines minimum viable offers.

HigherCustomer LTVReactivated customer value exceeds new acquisition when timing is precision-driven.

90-day reactivation pilot

We score your inactive base by recovery probability, deploy precision campaigns through optimal channels, and run a treatment-versus-control test. Within 90 days you see which accounts were recoverable, at what incentive cost, and whether precision targeting outperformed your existing approach.

Score

Analyse your dormant base by recovery probability and dormancy reason.

Target

Deploy precision campaigns with minimum viable incentives through optimal channels.

Prove

Treatment-versus-control test shows recovery rates, incentive efficiency, and precision vs mass economics.

Recover Revenue from Dormant Portfolios

Stop wasting reactivation budget on unrecoverable accounts. Behavioural intelligence transforms dormancy recovery from mass campaigns into precision deployment.Executive consultation to assess reactivation economics within your portfolio, evaluate dormancy patterns, and model recovery opportunity.

Predictive models calibrated to your dormancy patterns.

Campaign economics validated in your environment.