Customer acquisition insights

AI and ML technologies, when applied expertly, can deliver many business benefits by refining, automating and streamlining various processes. An AI-powered solution can take an insurer's existing data and perform various competitive analyses, assign probability scores, and even offer recommendations:

Competitor comparison: A comparative premium analysis of the company's top 3 competitors.
Customer Lifetime Value (CLV): The dollar value representing the total worth of doing business with a particular customer.
Bind probability: It is a score indicating the probability of converting a given customer through the recommendation and package pricing.
Renewable probability: The measure of the probability that a customer will Renew the policy after the first term if Acquired.
Cross/up-sell propensity: A score derived on the basis of customer data and similarity analytics.
Customer segmentation: Used to predict the trends of the customer segment and provide actionable insights to the agent/campaign marketing.
Package recommendation: A package deal bundled with other products (home, umbrella, motorcycle, etc.) is offered based on the information provided or made available and the auto insurance quote.

One recommended approach derives insights as a service without impacting the current underwriting and marketing process.

Special Reports /

How data analytics convert insurance prospects to customers

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