Improving underwriting ratios and assessing policyholder risk for general insurers

VortexDNA data helps insurance companies segment more accurately, improving retention statistics and loss ratios. Our unique, predictive data characteristic can improve your bottom line with relevant and significant information.

Complement your existing risk modeling and customer segmentation methods with this unique new data characteristic for dramatic results. Let our scientific behavioural predictions give you the information you need to optimize your business.

• Segment new customers with greater precision -- assign premiums more fairly and profitably
• Identify policyholders who have a high probability of lapsing -- take targeted steps to keep them on board
• Improve your ability to offer proactive risk/claims prevention and containment programs to high-risk customers

Actual data from a leading U.S. insurer shows the strength of VortexDNA's mathematical algorithm:

VortexDNA prediction of claims event likelihood

VortexDNA has successfully demonstrated the ability to generate fairer premiums with a leading US auto insurer by providing an average improvement in prediction accuracy of US$56 and an average value of lift of $26 per policy per annum for the insurer in question.

Download the case study now.