Property Data and Insurance Policy Monitoring
Property Data and Insurance Policy Monitoring: How You Can Ensure Policyholders have the Correct Coverage as a Home Insurance Provider
As a home insurance provider, monitoring a substantial number of policies can often prove challenging. How can you ensure that your policyholders are covered by the right insurance? In this post, we explore how you can use property data to quickly unearth accurate property data on your policyholders to ensure they have the right coverage. Read on to find out more.
Ensure You Have All the Property Data You Need to Monitor Insurance Policies
Monitoring policies of policyholders can often be a challenging and time-consuming process, most notably because policyholders often forget to inform their insurance providers about any renovations their homes have undergone.
Property data means that you don’t have to rely on your customers to inform you of any changes made to their home. Our property characteristics data provides nationwide insights into property characteristics to allow you to assess whether a property’s risk profile has changed.
With property characteristics data, you can check to see if policyholders have made any upgrades to their home, including: the number of bedrooms and bathrooms, lot width & depth, additional porches or balconies, lot size in square feet or acres, type of heating and cooling system, electrical and more.
Moreover, you can also use assessor and mortgage loan data to find out if customers have taken out additional loans on their property, such as a HELOC loan. This data provides insights into the type of loan, its value, and its estimated equity.
Trade the Monotonous Paperwork for Higher Revenue with Automation
Recent research shows that you can reduce your operational costs by as much as 40% by automating just 30% of your operations. Automation can help you cut paper work, spend less time on dull manual tasks, reduce processing time, and enable you to focus more on working with policyholders to ensure they have the right policies in place.
Automating realty data delivery is just one of the ways you can overhaul your processes in favor of automation. You can save extensive amounts of time sourcing, consolidating, and analyzing data with our Match & Append Solution.
ATTOM’s Match & Append Solution offers accurate and extensive real estate data at your fingertips. Our Match & Append Solution produces a higher match rate rapidly by matching customer input (such as an address) to an ATTOM ID and appending the requested real estate data. Depending on the size of the match & append and your requirements, these files can be delivered in Excel, delimited ASCII via email or over FTP.
Improve Customer Satisfaction Rates and Boost Revenue with Real Estate Property Data
Property data provides you with real-time real estate data on properties across the U.S. – ensuring that your policyholders are always covered. This in turn, provides a huge boost to customer satisfaction rates, helping to grow your profits through improved customer retention rates.
With ATTOM, you have access to the most comprehensive database on property data in the U.S. – we currently provide a greater scope and accuracy of information than any of our leading competitors.
In addition, our property data warehouse contains data on over 155 million U.S. properties and offers our partners more than 29.6 billion rows of transactional-level data, as well as 7,200 discrete attributes.
Comprehensive Property Data for Home Insurance Providers
Real estate property data enables you to save time, boost revenue, and ensure accuracy when it comes to policy monitoring to insurance companies. With ATTOM, you can also access property characteristics data on nearly every single property in the U.S.
Curious to find out more about our leading our property data or big data in the insurance industry? Contact us here to learn more.
Please contact us if you have questions about the underlying data referenced in this article, or would like to have access to that data in the form of custom reports, API, Bulk File or DaaS.