.png&w=3840&q=75)
The insurance landscape is shifting. Customers are no longer satisfied with one-size-fits-all policies; they expect tailored products and pricing that reflect their circumstances. This demand for personalisation is transforming the industry, pushing insurers to move beyond broad-brush approaches and embrace data-driven, individualised offerings. But true personalisation isn't just a marketing buzzword - it demands a deep integration of high-quality data and sophisticated analytics.
From Postcode to Property: The Power of Granular Data
Traditionally, insurers have relied on postcode-level risk assessments. While convenient, this approach lacks the precision needed for true personalisation. Consider this: two properties on the same street can have dramatically different risk profiles. One might be on higher ground, less susceptible to flooding. Another might have been built with other materials, affecting its rebuild cost. This is where Chimnie's granular property intelligence becomes invaluable.
We provide the detailed insights needed to move beyond averages and understand risk at the property level. This includes data points like:
Surface Water & Reservoir Flood Risk: We don't just tell you if a postcode is at risk; we predict the likelihood of water damage to the specific property, including grounds and buildings, and even estimated water depth.
Air Pollution Metrics: Understand the long-term environmental impact on a home and its occupants with data on ozone, nitrogen dioxide, and particulate matter (PM10 and PM2.5).
Tree Hazard Index: Assess the potential risk of tree fall based on the height and proximity of trees to the property. We even detail the height and distance of the closest tree within 10 metres.
Rebuild Cost Modelling: Forget generic estimates. Our models consider current raw material prices, local labour costs, and whether the property is converted or purpose-built, in addition to building volume and type.
By leveraging this level of detail, insurers can create policies that reflect actual risk, leading to fairer pricing, better risk management, and, ultimately, increased customer satisfaction.
From Reactive to Proactive: Data-Driven Risk Mitigation
Personalisation isn't just about a tailored initial policy; it's about an ongoing partnership with the policyholder. It's about using data to prevent claims before they happen. Chimnie enables insurers to move from a reactive stance to a proactive one, empowering them to help customers mitigate risk.
Imagine these scenarios:
Subsidence Alerts: A homeowner in an area with increasing subsidence risk (identified through Chimnie's data) could be proactively offered soil monitoring services or preventative measures.
Flood Resilience: A property with high flood exposure could be automatically offered discounts on flood-resistant modifications at policy inception.
Air Quality Awareness: Chimnie's air pollution data could trigger notifications to homeowners in areas with declining air quality, offering advice on air purifiers or even suggesting health-related endorsements to their policies.
By embedding Chimnie's real-time property data into underwriting and claims processes, insurers can create dynamic, adaptive policies that respond to changing conditions and help customers protect their most valuable assets.
The Future is Personalised (and Data-Driven)
The demand for personalised insurance isn't a trend; it's the future. Insurers who embrace granular property data will be best positioned to meet this demand and lead the industry forward. Chimnie is committed to providing the accurate, real-time property insights needed to power this evolution.
We're helping insurers move beyond outdated, blanket pricing models and embrace a future of real-time risk assessment, dynamic policy adjustments, and proactive customer engagement. In this new landscape, having the right data isn't a competitive advantage - it's essential for survival.
Ready to personalise your risk assessment and unlock the power of property-level data?
