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.
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.
Contents Insight provides reliable sum insured estimates for every address in the UK with high levels of confidence.
Help customers understand what sum insured limits are reasonable and select the appropriate level of cover—while you identify potential over- or underinsurance.
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.
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.
Where data is lacking for a particular address, the tool makes assumptions based on similar properties and characteristics.
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.
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.
Helping industries across the UK make more informed decisions around buildings, addresses, and premises.
Receive more precise risk estimates of major insurance perils at the postcode unit or address level, including theft, fire, subsidence, escape of water, freeze, flood, storm, and accidental damage.
Develop a more comprehensive view of property risk with interactive mapping technology to visualise all the different risk accumulations at an individual address or postcode level.
Make sense of large geodemographic classifications and track insurance uptake trends across your client base for product builds and marketing offers. Generate risk assessments of customers based on their claim frequency and average claim value.
Identify any address of the 30 million addressable properties in the UK. Ensure your addresses are accurate when making use of any address-level risk model.
Use our one-stop hub of real-time data enrichments to increase the accuracy and competitiveness of your insurance pricing and improve the customer journey.