Pressure to deliver revenue growth with minimal costs has made it imperative for insurance companies to extract more value from existing assets. Opportunities for cost-effectively growing revenue occur at various channels throughout every insurance firm—but many are missed. Predictive analytics can help you to capitalize on points of customer interaction from your branch offices to your call centers—and transform cost centers into profit centers.
Customer growth solutions for insurance from SPSS help you cultivate customer relationships through optimized cross-selling and up-selling with real-time predictive analytics deployed within business operations. With the predictive insight these solutions provide, you will be able to:
By integrating predictive analytics into your customer growth strategies, you can apply deeper analysis to your business to uncover complex purchasing behavior, identify events that indicate new policyholder needs, and proactively meet those needs.
--------------------------------------------------------------------------------------------- Natexis Assurances, the insurance division of Groupe Banque Populaire, uses SPSS predictive analytics to grow customer relationships by precisely targeting its best customers for direct mail campaigns and providing highly qualified leads to branch offices for follow up. SPSS predictive analytics helped the insurer reduce direct mail volume by 50 percent while increasing revenues by 200 percent.
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Contact SPSS sales to learn how predictive analytics can deliver rapid return on investment for your organization.
