General Insurance Underwriting

Contents Insight

When contents sum insured estimates are rarely up to par, do you know how much contents cover your customers really need?

A contents guessing game

Sum insured estimates for household contents insurance are often too simplistic and can result in cover that falls short or exceeds customer requirements. Customers often struggle to estimate the value of their belongings or may not know what limits are reasonable.

Gain reliable contents sum insured estimates

State-of-the-art machine learning algorithms within Verisk’s model calculate estimates based on factors such as the size of a property, type of dwelling, number of rooms, and demographic characteristics—and are validated by claims data.

Unparalleled levels of insight

Contents Insight provides reliable sum insured estimates for every address in the UK with high levels of confidence.

A smoother customer journey

Help customers understand what sum insured limits are reasonable and select the appropriate level of cover—while you identify potential over- or underinsurance.

Value for all insurance distributors

Whether you work for a UK home insurer, broker, comparison website, start-up, or other insurance specialist, Contents Insight supports more informed sum insured limits.

Features and capabilities

Search any address for reliable estimates

With just an address, Contents Insight will provide you a reasonable range of upper and lower levels of cover estimates to insure the contents of that property.

Fill in any gaps with reasonable assumptions

Where data is lacking for a particular address, the tool makes assumptions based on similar properties and characteristics.

Better understand your customers

A three-bed home in an affluent part of London is likely to have different requirements from a comparable property in a village in the North of England. Contents Insight captures the nuances.

Do more with the Verisk ecosystem

Our home insurance underwriting tools and granular data sets help capture the risk associated with any building and its residents, plus claims history and highly localised perils exposure.