nearspacelabs.com Open in urlscan Pro
198.57.242.168  Public Scan

Submitted URL: https://email.nearspacelabs.com/e3t/Ctc/I5+113/cHChN04/VWY-vv6pG4P3W3vBwKC82CLGwW6y9Q6954JTX2N7MjfwM5kvg0W50kH_H6lZ3p7W6nSLpN5ZR...
Effective URL: https://nearspacelabs.com/blog/why-full-coverage-means-the-availability-as-well-as-the-recency-of-imagery-for-pc-insurers/...
Submission: On October 16 via api from US — Scanned from DE

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WHY FULL COVERAGE MEANS THE AVAILABILITY AS WELL AS THE RECENCY OF IMAGERY FOR
P&C INSURERS

by Near Space Labs | May 16, 2023




What does full data coverage mean for insurers? In this blog, we’ll uncover why
“full coverage” means more than just the availability of data and why carriers
should look to re-evaluate the quality of imagery they use to base decisions.

 


DEFINITION OF FULL COVERAGE

We define, and challenge carriers to redefine the definition of full coverage,
as “the availability of frequently updated and recent property data in all
locations of operation.”  

How this differs from traditional definitions is the added component of recency
and frequency. For instance, does 100% coverage of properties once a year equal
full coverage? What about twice a year? 

We’ve found the coverage sweet spot for insurers is quarterly refresh rates to
account for seasonalities and the many changes that can occur throughout the
year, across all policy locations. This amount of data is also easily digestible
and maintainable to be used effectively throughout current and new processes. 

Without access to highly refreshed, recent imagery data, carriers may be basing
decisions using outdated information that directly impacts risk, losses, and
ROI. Full coverage can no longer mean 100% of policy locations are covered. We
must not forget about the importance of recent data to truly represent full
coverage. 

 


PAIN POINTS FOR CARRIERS

When it comes to the quality and availability of imagery that carriers work with
(with high-resolution being a standard), we find there are two main pain points:

 1. Lacking geographic coverage of certain policy areas 
 2. If there is coverage, the data being outdated (or not frequent enough)

These challenges can create an influx of inherent and unknown risk to property
portfolios. Let’s walk through a few examples of why full coverage is critical
in each stage of the policy life cycle.

 


UNDERWRITING 

At the point of sale, an underwriter writes a quote that reflects the amount of
risk the carrier agrees to take on and covers the policyholder up to a certain
amount in the case of a claim. If the data that’s used to base this decision is
outdated, an inaccurate risk assessment is likely which could lead to a
multitude of problems including underinsured customers, increased portfolio
risk, and even lost sales.  

For example, an underwriting model uses data from six months ago to base its
quote amount. Four months ago, the homeowner built a shed in their backyard
which is unrecorded in the six-month old data. If the policy is accepted by the
customer, they now face underinsurance and the risk of paying out of pocket when
the unexpected happens. And even if the shed is identified after the policy is
won, the carrier may be unable or unwilling to adjust the premium, both leading
to a poor customer experience. 

Let’s think about the reverse. The homeowner removes a shed from their backyard
four months ago, and the six-month old data includes the shed to provide the
quote. The policy amount could be much higher than the actual risk of the
property, causing the homeowner to look elsewhere for better rates, and
diminishing potential sales.  

With imagery refreshed quarterly, or every 90 days, underwriters have the most
up-to-date information to base the policy and quote. By understanding the true
risk of properties, underwriters can write more accurate and competitive
policies to drive sales, ensure customers are correctly covered to increase
satisfaction, and improve overall risk mitigation. 

Near Space Labs’ high-frequency captures of a property with an updated roof and
an addition of an unattached structure in the backyard.

 


RENEWALS

While renewal cycles are typically a year long, data that is a year old or even
six months old won’t cut it. Whether it’s renovations, additions, or unfixed
damages, changes are occurring constantly throughout the year and can
drastically affect the risk profile of a property. 

For example, in 2023, 61% of home insurance policyholders in the US are planning
renovations, but 34% don’t plan on reporting this to their insurance provider,
according to the Hanover 2023 Home Renovation Report. Not only does this create
an imbalance of coverage that could lead to uninsured losses, but it also
decreases the opportunities for underwriters to uplevel policies if outdated
data is used. 

Gathering property data during renewal periods can happen in a few ways –
outsourcing imagery from companies like Near Space Labs, operating in-house
drone teams, or sending inspectors on foot. The current challenge with on-site
inspectors as well as drone teams, due to their limited range capabilities and
need for an on-site operator, is that it takes ample time and resources to
inspect all policies. This leaves room for data to be captured too far in
advance of the renewal period, leading to inaccurate policy updates and/or an
increase in portfolio risk. And to top it off, insurers are finding up to 75% of
these on-site inspections are wasted due to a lack of change to the property,
and therefore no updates to the policy. 

Near Space Labs works to compliment in-house drone teams and on-site inspectors
by triaging inspections with timely and highly recent imagery. No later than 90
days before the renewal date, we cover the entirety of insured properties
helping underwriters identify where changes are occurring so they know exactly
where to send their teams. By supplementing drone teams and inspectors with our
solution, imagery can be collected in a much shorter time frame and as close to
the renewal date as possible. 

Whether insurers are using an in-house drone team or outsourcing imagery, the
age of the imagery should be a top priority. With highly-recent property data,
carriers can now accurately adjust renewal policies to represent the true risk
of properties, maximize inspection efficiency, and fully capitalize on potential
revenue.  

Near Space Labs’ high-resolution captures showing a property upgrading to a more
resilient, metal roof with the addition of solar panels, revealing a change in
risk to a policy.

 


CLAIMS

The primary purpose of someone purchasing homeowners insurance is to protect
themself from financial losses in the case of a property claim. It’s important
to keep customers happy at this stage of the policy lifecycle to retain loyalty
and remain competitive. According to Accenture, approximately 30% of
dissatisfied claimants revealed they switched carriers within the past two years
and 47% said that they were considering switching due to a poor claims
experience, leaving up to $170 billion in premium at risk over the next five
years. 

Full coverage of policies not only helps carriers accelerate the claims process
to improve customer experience and reduce churn, it also helps improve the
accuracy of assessments, prevent fraud, and reduce litigation and expenses. 

Similar to renewals, we help carriers triage claims assessments by identifying
properties that require a more in depth evaluation, across all policies in
force. In the case of a full loss, carriers can immediately begin the settlement
process and pay customers without the need for an on-site visit, speeding claims
to settlement times. In turn, assessors reduce unnecessary trips and can quickly
and efficiently focus their attention on partial loss cases that need additional
attention. 

Highly recent imagery also supports insurers efforts to minimize fraud, which
accounts for about 10% of P&C losses, and reduce litigation costs, by
authenticating claims and improving the accuracy of damage assessments. With
access to imagery 90 days before and after a claim is made, verifying claims can
happen quickly and easily. Insurers are able to see if a property was damaged
prior to the claim and provide proof of the property’s condition if they suspect
fraud. 

In turn, with an improvement in damage assessment accuracy, payout amounts also
become more accurate. This helps prevent overpayment, but also underpayment
which directly relates to litigation costs. Furthermore, with continued coverage
of all insured properties, carriers can record and monitor if damages are not
being repaired and step in to offer additional support, including further
financial assistance and/or risk mitigation recommendations to reduce future
losses.

Full coverage for claims teams means they can respond to more claims faster,
helping customers get back on their feet as quickly as possible, whilst
improving efficiency, reducing fraud, and decreasing expenses. 

Our frequent captures showing the halted recovery progress of a full loss claim
one year after the property was damaged. 

 


KNOWING WHAT YOU KNOW NOW, DO YOU HAVE FULL IMAGERY COVERAGE?

Without understanding the importance of pairing the age of data with full
location coverage, it can be easy to think your team may already have full
coverage. But do you? 

Near Space Labs offers 100% coverage of US locations every 90 days including
policies in urban, rural, and remote locations. With our data, insurers are
becoming more competitive in locations where they don’t currently have any
imagery coverage, as well as in the areas where coverage is outdated.
Integrating the highest-quality data available is empowering more confident and
accurate decisions across the policy lifecycle, helping carriers mitigate risk,
reduce losses, and build stronger relationships with policyholders. 

If you’re a carrier looking to expand coverage whether it’s geographically or
the recency of your imagery, get in touch with our team to schedule a call.  


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