Churn prevention & Point of lapse modelling
Predicting when customers are at risk of leaving
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Anticipating churn before it happens
Point of Lapse Modelling uses behavioural and transactional data to identify when customers are likely to disengage. By spotting early warning signs, organisations can intervene with timely messaging, offers, or product improvements.
This proactive approach helps brands retain more customers, reduce churn, and protect long-term revenue.
What it delivers
Insight
understanding which signals point to customer disengagement
Retention
strategies to re-engage before churn occurs
Efficiency
focusing efforts on the customers most at risk
Growth
extending customer lifetime value through timely intervention
Our Churn Prevention approach
Customer data is analysed to uncover behavioural patterns that indicate when engagement begins to drop. These signals form the basis of predictive models that highlight risk points across journeys.
Retention strategies are then shaped using these insights – ranging from targeted campaigns and personalised offers to journey redesigns that keep customers active.
Ongoing monitoring ensures models remain accurate over time. As behaviours and markets change, the approach evolves, keeping organisations ahead of customer lapse and safeguarding long-term loyalty.
ROI with impact
We believe in creating experiences that not only engage users but also drive real a ROI for your business. We balance strategy with fast delivery without compromising on creative.
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