Property Data Insights
A proprietary property data set of 29 million households in Great Britain to support the Insurance, Utilities, Retail, Property-related and Financial sectors
Predict Home Insurance Rebuild Cost
Predict and reduce insurance risk
Enhance your own data set with AI-led data
Pre-fill Home Insurance online applications
Improve customer acquisition
Improve online customer experience
Inform your property location strategy
A proprietary data set featuring over 500 variables on the property and its locality
Drawing from over 50 data sets, including satellite imagery data and exclusive access to over 20 years mortgage valuation data, our proprietary property data provides more accurate insight on 29 million households in Great Britain.
The data set includes over 500 variables on the property and its locality. Property attributes such as roof type, number of bathrooms, property type and style are included, as well as planning attributes such as applications, approvals, development type and planning start dates and energy attributes including efficiency, heating type, consumption costs and window type.
Modelled features such as Home Move Triggers are also available which accurately predict home move dates as well as the likelihood of moving. A Home Insurance Rebuild Cost variable has also been developed specifically for the Insurance sector. We uniquely provide full transparency on modelled vs non-modelled features with Confidence Scores.
Our proprietary property data is a fully customisable and forms the basis of our Quanta Household Segmentation. By applying our innovative data science capabilities we create more predictive data, segmentations and models tailored to meet your specific sector and business requirements.
- 43% more actual data on GB properties
- 15% more accurate property data and models
- 500+ variables available on the property and its locality
- Confidence Scores applied to modelled features
- GDPR compliant with clear provenance
- Instantly accessible via flat file or API
- Address matching to UPRN identifiers
- Custom models can be created to achieve specific business objectives