Via a single, simple API integration, home insurers can now access all the property data they need – including property attribute, risk, peril, valuation, environmental, geospatial, proximal – to be able to provide an instant, accurate quote, based on the applicant simply providing the property address. Minimising consumer input by pre-filling home insurance application forms significantly reduces form abandonment and leads to a greater quantity and better quality of completed applications. As well as providing a very much easier and faster experience for the consumer, prefill can lead to significantly reduced customer acquisition costs for insurers.

In addition to getting information such as the number of rooms, insurers can access accurate answers to questions a consumer is unlikely to know. Such items can be significant risk factors: height and angle of the roof; construction type and when built; proximity and height of the nearest tree; proximity to water; presence of Japanese knotweed; proximity and function of nearest commercial premises; presence of cladding in dwellings within buildings of 11m+ in height; energy performance and much more. Whether collected by pre-filling insurance applications or in bulk for analytical and modelling purposes, access to this key data can deliver the insurer an even deeper understanding of property-level risk and drive more accurate and competitive pricing.

The insurer provides the addresses, Title numbers or UPRNs of all or part of an insurance policy portfolio and receives a flat-file analysis, enriched with up-to-date property attributes, risks, perils, cladding status, energy perfomance and 100s of other datapoints to inform risk and pricing teams better than ever before. Existing and new home insurance policies can be monitored on an ongoing basis, with the insurer receiving alerts whenever changes occur at or in the proximity of each property which may a material effect on the risk or pricing.

When an insurer is preparing a policy portfolio for reinsurance, each property can be enriched with a more comprehensive range of key data variables than ever before. Presence of cladding, energy performance ratings, ESG suitability, rents achievable, Rental Index, climate considerations, future flood, coastal erosion and ground stability exposure are among the many key characteristics which are typically considered. The portfolio can then be readily segmented, packaged and better-presented to take to the market to achieve optimal reinsurance outcomes. This service is also increasingly being used on the buy-side by reinsurers and by M&A teams who need to gain a deep understanding the value and risk within the portfolio to inform their decisions.