Irrelevancy is only a choice for an Insurer, not his inevitable destiny. Insurtech can make the insurance sector stronger and therefore more capable of achieving its strategic goal: to protect the way people live.
How an insurer can stay relevant in the age of data
1. June 19th 2018
How an insurer can stay relevant
in the age of data
Matteo Carbone
Founder and Director, IoT Insurance Observatory
@mcins_
2. 2
Why did we come here?
Insurance is about protecting the way people live
Since 1347 Insurance has been a contract
where someone promises to indemnify another
against loss or damage from am uncertain event
as long as premium is paid to obtain this coverage
Insurtech can make the insurance sector stronger and therefore more
capable of achieving its strategic goal: to protect the way people live!
How can
InsurTech
help do
this?
3. 3
Assessing, managing and transferring risks are the core activities
of an Insurer
Insurtech is the “superpower”
for assessing, managing and transferring risks
4. 4
All the insurance players will be InsurTech
It’s unthinkable for an insurance
company today not to pose the question of
how to evolve its own model by thinking of
which modules within their value chain
should be transformed or reinvented
via technology and data usage
I believe all the players in the
insurance arena will be InsurTech,
meaning organizations where technology
will prevail as the key enabler of the
achievement of their strategic goals
5. 5
I love insurance
Matteo Carbone
InsurTech Investor and co-funder
• I’ve co-funded Archimede Spac (Special
Purpose Acquisition Company)
• The company has the objective to set-up of the
first Insurtech Insurance Carrier of the Italian
market
- a new independent carrier for non-life
non-motor bancassurance
- characterized by an “InsurTech inside”
strategic mode
• It has raised €47M and is listed on the stock
exchangesince May 21st
6. 6
Insurtech
enabled
products
Archimede: Bancassurance, InsurTech inside
Embedded
technology in the
value chain to
“make better” the
insurer’s job
Set-up foreseen in the 2022 plan period
Pervasive Insurtech approach
enabling the whole insurance value chain
Starting as add-
on/ cross-selling
on client-base
Mixed
«Open-platform
core-satellite»
Innovation
model
Stand-alone
development
Innovative
distribution
channel support
API
Bancassurance
platform
7. 7
I love insurance
Matteo Carbone
InsurTech Investor and co-funder
Founder and Director of the IoT
Insurance Observatory
+11 years strategic consulting
(former Principal with Bain & co.)
Keynote speaker and writer on
insurance innovation
Global InsurTech Influencer
• This Insurance think tank has aggregated more
than 40 international insurance groups,
institutions and tech firms between Europe and
North America
• The initiative has three concrete outcomes:
‒ The most pragmatic multiclient research
specialized in the insurance IoT domain
‒ One-to-one workshops dedicated to each
member to discuss research outcomes
‒ Plenary symposiums with all the members
together around the same table
I’m helping incumbents to concretely address the IoT opportunity
8. 8
The most pragmatic
multiclient research
specialized in the
insurance IoT domain
One-to-one workshops
dedicated to each member
to discuss the research
outcomes
Plenary symposiums
with all the members
together around the
same table
I have created a think tank which provides the members access
to the most relevant insurance IoT knowledge globally
9. 9
The protection of a connected home: how could it look in a
few years?
The prevention of the
risks which could occur
to the house
Proactive actions to
limit the damages
and fix them
The monetary
reimbursement will be
necessary only in case of a
"service failure"
For a monthly fee someone will offer the consumer:
10. 10
Will Insurers be relevant in this kind of future? ILLUSTRATIVE
Supermarket
Relevance
Frequency
Hair dresser
Telecom operator
Traditional insurer
Doctor
Dentist
Social media
Real estate agent
Notary
Search engine
Bank
Credit card provider
Lower risks to
cover, invisible
insurance ancillary
to a product
purchase, …)
11. 11
My experience on IoT insurance
Organization
In the past 6 years,
I advised more than 90 organizations
(Insurer, Reinsurers, Brokers, Vendors, and
Investors) in more than 15 different
countries
on IoT insurance projects
90
Market share
I’ve worked directly with players accounting for
more than 80% of IoT insurance volumes
(number of policies on auto telematics, smart
home, and connected health)
+80%
6 +800
+80 Conferences
I have debated the insurance IoT
opportunity at more than 80
conferences around the word since
December 2015
Papers
I have produced 6 white papers on
Insurance IoT, which have been
co-authored with prestigious
international organizations
(3 are to be published in the
following months)
Hours
More than 800 hours discussing
concrete experiences, best
practices and pitfalls with the
executives of the organization
members of the Observatory
12. 12
Will Insurers be relevant in this kind of future? ILLUSTRATIVE
Supermarket
Relevance
Frequency
Hair dresser
Telecom operator
Traditional insurer Insurance Iot
Doctor
Dentist
Social media
Real estate agent
Notary
Search engine
Bank
Credit card provider
Irrelevancy is only a choice for an Insurer, not his inevitable destiny!
Insurance IoT is
about connecting the
insurance sector with
clients and their risks
Lower risks to
cover, invisible
insurance ancillary
to a product
purchase, …)
13. 13
Each Insurer can create and sell his own insurance IoT value
proposition: insurance contract + IoT data + services
The Insurance players have a unique competitive
advantage vs any other IoT players:
• Because the same data used to deliver services allows to
improve the insurance activity (assess, manage and transfer
risks)
• This way IoT allows to create value on the insurance P&L
• This value can be shared with the client creating a valuable
bundle between insurance coverages and IoT solutions
Value sharing
Connected
insurance
pardigm
The bigger the difference between insurance premium and service
cost, the higher the potential of the insurance IoT approach
14. 14
Value
Creation
Levers
IoT data can have a extraordinary impact on the way
you assess, manage and transfer risks
SERVICES…
• …based on sensor data to deliver enlarged value propositions
for the clients orchestrating an ecosystem of partners
• …concerning information about insurance coverage and
insured risks
15. 15
Earned additional service fees
A home insurance
product with an
additional annual fee for
professional safety and
security services (and
devices rental),
REAL CASE
Safety/Security
oRemote monitoring
and emergency
services to provide
peace-of-mind
Property services
oConcierge with a
platform of certified
services providers to
manage the house:
‒Home maintenance
‒Home services
(cleaning, gardening,
ironing …)
Solar panel
Lighting
Intrusion
alarm
Heating/
cooling
Thermostat
Flower
control
Computers &
electronics
Mould detector
Camera
Refrigerator
and freezer
Fire detection
Camera
Lock
Electric meter
Vacuum
cleaner
Washing
machine
Heat
exchanger
integrated with optional
property services offered
“a la carte” by an
ecosystem of partners
16. 16
The value creation framework
Traditional
bottom line
Hardware
Services
IoT
costs
Service
fees paid
by the
customer
Contribution
of partners
17. 17
Value
Creation
Levers
IoT data can have a extraordinary impact on the way
you assess, manage and transfer risks
RISK SELECTION:
• Low-risk customer acquisition due to the storytelling
of the IoT insurance product
• Improved quality of underwriting process based on
sensors data (including constant insights on exposure)
• Increased underwriting process efficiency
SERVICES…
• …based on sensor data to deliver enlarged value propositions
for the clients orchestrating an ecosystem of partners
• …concerning information about insurance coverage and
insured risks
18. 18
Self-selected risks due to product features
An auto telematics
value proposition
focused on the
claims monitoring
has a terrific effect
on the acquisition of
low risk clients
Market
average
(20%)
Claims frequency (district average)
Black box effect
on
claims frequency
(risk adjusted)
Black box impact by district
Market
average
-20%
3.0 6.0 6.5%Market
average
4,8%
4.5
REAL CASE
Even if two customers seem to
be equal based on their
characteristics. The one who
accepts the telematics value
proposition is 20% less risky
19. 19
The value creation framework
Traditional
bottom line
Risk self
selection
Service
fees paid
by the
customer
Partners
contribution
Hardware
Services
IoT
costs
20. 20
RISK SELECTION:
• Low-risk customer acquisition due to the storytelling
of the IoT insurance product
• Improved quality of underwriting process based on
sensors data (including constant insights on exposure)
• Increased underwriting process efficiency
Value
Creation
Levers
IoT data can have a extraordinary impact on the way
you assess, manage and transfer risks
LOSS CONTROL
• Usage of the device information in order to anticipate claim
management and improve reimbursement valuation
• Initiatives acting directly in real-time on single situations to:
-mitigate risks before damages occur
-contain damages
• LAE reductions
• More accurate reserving
SERVICES…
• …based on sensor data to deliver enlarged value propositions
for the clients orchestrating an ecosystem of partners
• …concerning information about insurance coverage and
insured risks
21. 21
Enhanced the effectiveness of the claim evaluation
and the efficiency of the claim process
Crash dynamics reconstructed
through telematics data are
represented “near real time”
to the claim handlers on their
desktops
Photo credit: UnipolSai
REAL CASE
22. 22
The value creation framework
Traditional
bottom line
Risk self
selection
Claims cost
reduction
Service
fees paid
by the
customer
Partners
contribution
Hardware
Services
IoT
costs
23. 23
Value
Creation
Levers
IoT data can have a extraordinary impact on the way
you assess, manage and transfer risks
RISK SELECTION:
• Low-risk customer acquisition due to the storytelling
of the IoT insurance product
• Improved quality of underwriting process based on
sensors data (including constant insights on exposure)
• Increased underwriting process efficiency
BEHAVIORAL CHANGE
• Indirect impact on risk level through:
-positive behavior reinforcement
(including gamification)
-culture creation
• Loyalty systems based on detected
behaviors (retention of low risk clients)
LOSS CONTROL
• Usage of the device information in order to anticipate claim
management and improve reimbursement valuation
• Initiatives acting directly in real-time on single situations to:
-mitigate risks before damages occur
-contain damages
• LAE reductions
• More accurate reserving
SERVICES…
• …based on sensor data to deliver enlarged value propositions
for the clients orchestrating an ecosystem of partners
• …concerning information about insurance coverage and
insured risks
24. 24
Nudged clients to less risky behavior
Instant rewards to
life policyholders
for performed
healthy behaviors
REAL CASE
25. 25
The value creation framework
Traditional
bottom line
Risk self
selection
Claims cost
reduction
Service
fees paid
by the
customer
Change
of behavior
Partners
contribution
Hardware
Services
IoT
costs
26. 26
RISK SELECTION:
• Low-risk customer acquisition due to the storytelling
of the IoT insurance product
• Improved quality of underwriting process based on
sensors data (including constant insights on exposure)
• Increased underwriting process efficiency
RISK-BASED PRICING
• More accurate rating: based
on measured "quantity"
and "level" of risk exposure
• Value propositions more
attractive to the customers
BEHAVIORAL CHANGE
• Indirect impact on risk level through:
-positive behavior reinforcement
(including gamification)
-culture creation
• Loyalty systems based on detected
behaviors (retention of low risk clients)
LOSS CONTROL
• Usage of the device information in order to anticipate claim
management and improve reimbursement valuation
• Initiatives acting directly in real-time on single situations to:
-mitigate risks before damages occur
-contain damages
• LAE reductions
• More accurate reserving
Value
Creation
Levers
IoT data can have a extraordinary impact on the way
you assess, manage and transfer risks
SERVICES…
• …based on sensor data to deliver enlarged value propositions
for the clients orchestrating an ecosystem of partners
• …concerning information about insurance coverage and
insured risks
27. 27
Minimizing the premium leakage
12.00
24.00
20.00
6.00
A cheap telematics auto
insurance for teenagers,
eventual night hour driving
charged on top on their
credit card by km
REAL CASE
28. 28
The value creation framework
Incentives and discounts are ways of sharing with the customer part of the
value created in order to deliver superior value propositions
Traditional
bottom line
Risk self
selection
Claims cost
reduction
Service
fees paid
by the
customer
Bottom line
with IoT
Discount
and
incentives
to the
costumer
Value
sharing
Intermediary
additional
remuneration
Change
of behavior
Partners
contribution
More
accurate
pricing
Hardware
Services
IoT
costs
29. 29
Who is the most reliable player for providing a bundle of an
insurance contract and services?
You are the most reliable player for providing a bundle of
insurance coverages and services !
Source: SSI survey for the IoT Insurance Observatory, European markets (Italy, France, UK, Germany, Spain, Austria)
Auto telematics insurance
(insurance coverage + services)
IoT home insurance
(insurance coverage + services)
5%All the
customers:
Millennials: 8%
4%
7%
65% 54%
49%59%
30. 30
I believe (some) insurers will succeed in the IoT war and they
will stay relevant in the life of their clients
These insurers will create their insurance IoT proposition:
insurance contract + IoT data + services
Photo credit: Jay Byers
31. 31
I’m supporting this evolution through the Observatory
Objectives
Scouting and rationalizing
qualitative/quantitative
knowledge on Insurance IoT
Sharing a critical point of view of
key trends and spreading
innovation culture
Encouraging members to discuss
experiences and exchange ideas
about innovation
The scope
Any insurance solution based on sensors for collecting data on the state of an insured
risk and telematics for remote transmission and management of the data collected
Health
and life
Industrial risks and
workers’ comp
Auto… Home and
commercial property
32. 32
I’m extremely proud to serve these 41 Prestigious Organizations
with the North American and European IoT Insurance Observatories
To join the Observatory feel free to write to matteo.carbone@iotinsobs.com