Without a clear picture of your target customers—and where to find them—you may struggle to put the right products before the right buyers. Many lifestyle and neighbourhood classifications are created with no specific industry in mind, How do you gather the insurance-specific market intelligence to guide your steps?
The Resonate classification can help you track insurance uptake trends across your client base for product builds and marketing offers.
Gain insight where you have no experience data and easily grade postcodes and addresses into relative risk bands to help improve underwriting and rating.
Improve customer engagement with more focussed and relevant messages to the right customer segments.
Understand loss ratios by lifestyle to increase the accuracy of your risk pricing.
Risk assessments of customers can be generated based on their claim frequency and average claim value.
Lifestyle and neighbourhood classifications within Resonate are built specifically with insurance uptake trends in mind.
Resonate contains 1,000 different demographic clusters—ranked by relative affluence, grouped into 50 distinct neighbourhood types, and further aggregated into 11 lifestyle groups.
Know commercial properties from the ground up to help provide the right coverage at the right price.
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.
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.
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.