Insurance
Propensity models that identify which policyholders are at risk of lapsing, ready for upsell, or likely to file a claim — enabling targeted retention and growth actions.
0h
Response time
0+
Projects delivered
0+
Years in production
Industry overview
Policyholder behaviour models that predict lapse risk, claims propensity, cross-sell readiness, and lifetime value from transactional, engagement, and demographic signals.
At a glance
Insurers sit on rich policyholder data but rarely use it beyond pricing. Payment patterns, claim history, contact centre interactions, and renewal behaviour all contain signals about what a customer will do next. ArrayMatic builds predictive models that turn these signals into specific, timely actions.
Lapse propensity models identify policyholders likely to cancel 60–90 days before renewal — enabling retention offers before the decision is made. Cross-sell scoring surfaces customers ready for additional coverage lines. Claims propensity models help operations pre-position resources before losses occur. All models integrate with CRM and policy admin systems to drive automated or advisor-assisted outreach.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to insurance clients.
Lapse and churn propensity models with 60-90 day lead time
Cross-sell and upsell scoring by coverage line
Claims propensity modelling for resource pre-positioning
Next-best-action recommendations for contact centre agents
Cohort lifetime value analysis and segmentation
CRM and policy admin system integration for triggered outreach
Built with
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.
