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Customer Retention & Churn Prevention

Proactive AI-powered engagement that retains policyholders before they lapse.

Policyholder retention is one of the highest-ROI investments an insurer can make — yet most retention strategies are reactive: calling customers who have already requested cancellation or received a competitor quote. Premium leakage from lapsed and cancelled policies is substantial. Meanwhile, insurers lack the engagement touchpoints to demonstrate value between claims events — leaving policyholders feeling like they are paying for something they hope never to use.

QUAPT deploys predictive retention intelligence and autonomous engagement agents. Machine learning models analyze hundreds of behavioural and transactional signals to identify policyholders at elevated churn risk — weeks before renewal. Autonomous outreach agents then trigger personalized interventions: tailored coverage reviews, risk management tips, loyalty rewards, and optimized renewal offers — delivered through the customer's preferred channel at the optimal moment.

  • Churn propensity scoring across entire policyholder portfolio
  • Multi-signal risk indicator monitoring: payment behaviour, claims history, engagement
  • Personalized retention intervention design and A/B testing
  • Automated outreach via email, SMS, app notification, and agent alert
  • Dynamic renewal offer optimization with price elasticity modelling
  • Life event detection for proactive coverage review triggers
  • Retention campaign performance analytics and optimisation loop

32%

Reduction in Policyholder Churn

18%

Improvement in Retention Revenue

4.8x

ROI on Retention Programs

25%

Increase in Policy Upgrades

  • Significant premium revenue retention that would otherwise be lost to lapse
  • Improved lifetime customer value across the policyholder portfolio
  • Higher NPS and brand loyalty through proactive, personalized engagement
  • Better understanding of policyholder needs driving product development
  • Reduced customer acquisition costs through stronger renewal rates
  • Data-driven retention strategy replacing expensive, reactive interventions