Dormancy is not churn.

Most reactivation budgets treat every inactive account the same. Behavioural patterns distinguish seasonal dormancy from permanent disengagement, recoverable accounts from unrecoverable ones. Precision targeting recovers revenue from your existing base at a fraction of acquisition cost.Unlock Dormant Value

The cost of blanket reactivation

Mass reactivation spends the same on unrecoverable accounts as on those likely to return. Transaction velocity trends, channel migration patterns, and dormancy duration already distinguish returnable customers from permanently disengaged ones. The data is in your systems. The distinction is not.

Reactivation Scoring

Not all dormant accounts are the same problem. Seasonal dormancy, agent-network inactivity, and digital abandonment each carry different recovery probabilities. Individual scoring tells you which accounts are worth pursuing before you spend.

Propensity modelling

Dormancy reason analysis

Recovery probability scoring

Win-Back Campaigns

Campaigns deploy through the channel the customer actually uses. SMS, USSD, agent networks. Multi-channel orchestration adapts based on response patterns, not a predetermined sequence.

Automated journey orchestration

Multi-channel coordination

Response-based adaptation

Minimum Viable Incentive

Every unnecessary incentive is margin erosion. Most campaigns over-incentivise because they cannot distinguish who needs a nudge from who needs an offer. Behavioural scoring determines the minimum effective incentive for each customer.

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.

Dormancy patterns sharpen churn detection.Precision targeting through behavioural intelligence outperforms mass-campaign approaches.

Campaign responses refine cross-sell timing.Incentive efficiency when behavioural intelligence determines minimum viable offers.

Precision targeting compounds across every intervention.Reactivated customer value exceeds new acquisition when timing is precision-driven.

Proposed 90-day reactivation proof

We score your inactive base by recovery probability, deploy precision campaigns through optimal channels, and run a treatment-versus-control test. A 90-day structure can be used where data readiness, sample size, approvals, and campaign timing support it. The agreed analysis measures recoverability, incentive cost, and performance against the 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

The treatment-versus-control analysis will measure recovery rates, incentive efficiency, and precision versus 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.45-minute executive consultation. We assess strategic fit before asking you to commit.

Predictive models calibrated to your dormancy patterns.

Campaign economics validated in your environment.