Policyholder Interaction Mining and Churn Propensity Modelling: AI-Enhanced Analytical Frameworks for Insurance Customer Insight Generation
Keywords:
policyholder interaction mining, churn propensity modelling, ai-enhanced analytical frameworks, insurance customer insight generation, machine learningAbstract
The increasing access to customer-level data across channels, products, and services is a unique and advantageous position for the insurance industry to be in. However, few analytics directors believe this information reveals a lot about a customer. As a result, many insurers are working to create an understanding of customer preferences and behavior, not just the 'what' but the 'why' behind their decisions, in real time. There is greater complexity in customer relationships.Downloads
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