Homeowner Data

Use nontraditional data to refine segmentation.


Homeowner data can improve your ability to find risk more than using property data alone. That can take underwriting to the next level.

Homeowners insurers often rely on a few property features for underwriting. But other data can have a powerful impact at critical decision points in your workflow.


Ownership type

A home is often its owner’s largest asset, and some homeowners choose to protect that asset through an LLC. Insurers have seen that such residences can be in worse condition than named-owner properties.

Ownership status

Combined factors such as length of ownership, foreclosure history, and mortgage activity often correlate with a homeowner’s ability to maintain the condition of a property. These can be key indicators for inspection at point of quote.



Property condition

Comparing the recent purchase price of a home to its market value can flag homes potentially in disrepair when purchased significantly under value. And when a direct visual inspection isn’t possible, renovation history and vacancy data can provide insight into the possible condition of a home’s interior.