Case Study: a Fortune 500-ranked property and casualty insurer optimizes pricing profitability with Unacast location data

a Fortune 500-ranked property and casualty insurer delivers 80% of custom data asks with Unacast

a fortune 500-ranked property and casualty insurer needed additional datasets to accurately assess risk during its underwriting process. The challenge was that traditional methods, like using transaction counts, were unreliable for understanding true customer foot traffic. The insurer turned to Unacast and its Migration Patterns product to gain a clearer picture of consumer behavior.

Unacast provided location data that offered insights into peak visit times, visit duration, and changes in foot traffic over time. This allowed the insurer to tie risk directly to the number of claims submitted and optimize its pricing strategy for profitability. While a full understanding of the impact on loss ratios will come after a full policy year, Unacast confirmed initial positive improvements during the testing process.