Fairer Premiums Proven by VortexDNA and Leading US Auto Insurer

In late 2008 VortexDNA carried out a detailed analytical project with a leading US auto insurer to improve their prediction model using VortexDNA data.

The study demonstrated an average improvement in prediction accuracy of over US$90 per policy per annum -- which translates to underwriting ratio improvements of more than US$630m for the insurer in question.

Request a pdf of the case study.


Dollar improvement per policy per year, broken down by claim category