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Usage-based Insurance
Telematics Detroit 2010

Robin Harbage
C-Counsel Consultant
Agenda


     Adoption patterns of telematics insurance


• Usage-based insurance will enable a competitive edge


     Key steps in implementation of an economically viable usage-based
     insurance product with mass consumer appeal




© 2009 EMB. All rights reserved. Slide 2
USAGE-BASED INSURANCE
ADOPTION
What is driving this?




© 2008 EMB. All rights reserved. Slide 3
Personal Auto


     Early pilots used professionally installed OEM or after-market
     devices
     Subsidized cost for learning
     Inconvenient for consumers and low adoption rate


     Opportunities as device costs decline
     Multiple electronic makers offering devices
     Reliable self-installed devices becoming available




© 2009 EMB. All rights reserved. Slide 4
Technology costs have dropped

Pricing accuracy

Customers love it

Politically accepted

Accident reduction potential

Retention dramatically increased
Telematics Timeline




© 2008-2009 EMB. All rights   Slide 6
reserved.
Monitored Driving Programs

     Hollard – SA                          AIOI – Japan
     Uniqua – Austria                      Real Insurance – Australia
     WGV - Germany                         Aryeh - Israel
     AXA – France, Ireland, Italy          Aviva – Canada & Europe
     Allianz – Italy                       Progressive – US
     Lloyd Adriatic – Italy                GMAC - US
     Reale Mutua – Italy                   Safeco – US
     Sara – Italy                          American Family – US
     Polis Direct - Netherlands            Milemeter – US
     MAPFRE - Spain                        Travelers – US
     Norwich Union – UK (discontinued)     CSAA - US
     Royal & Sun - UK                      Unigard – US (pending)
     Coverbox – UK
© 2009 EMB. All rights reserved. Slide 7
Appeals to participating consumers

   Once educated, UBI appeals to consumers
          Makes sense
          Controllable
          Side benefits


  As it is causal, reduces
  reliance on risk proxies
          Insurance credit scores
          Driver assignment
          Charges for relatively rare
          accidents, convictions


© 2009 EMB. All rights reserved. Slide 8
UBI COMPETITIVE EDGE
The smart will prosper.




© 2008 EMB. All rights reserved. Slide 9
Key Benefits of Telematics


           Customer                                             Insurer

Significant reduction in premium                Improved ability to assess risk
for good risks                                  Improvement in profitability:
Less cross-subsidy for poorer                       Improved Loss Ratio
drivers                                             Increased persistency
Feedback and recommendations                    Better Customer segmentation
for improving driving                           and targeting
Empowerment – more control                      Self-selection by customers
over premium                                    further compounds risk benefits
Social benefits                                 Avoid adverse selection
Opportunity for ancillary benefits



         You have to get the customer proposition right – sharing the benefits
              Slide 10
Historical Perspective

 Motor insurers have historically used risk proxy factors for assessing
 and pricing risk


         Risk Proxy Factors                     Genuine, Fundamental Risk Drivers
    Age                                              At what time of the day is the vehicle
    Gender                                When?      used?
    Marital status
    Garaging address
                                           Where?     What type of road is the car driven on?
    Use (personal, business, etc)   ?
    Convictions
    Credit                                           How is the vehicle driven – how fast
                                            How?
    Vehicle type                                     and how safely?

                                            How       How many miles does the vehicle
                                            Much?     travel?




  To date, these approximations have been good enough but technological advancements
                   mean access to fundamental risk data is now achievable

                  Slide 11
Tremendous predictive power

Various studies demonstrate predictive potential




        Companies gain competitive advantage through better segmentation
        Elimination of cross-subsidization is more “fair”

 © 2009 EMB. All rights reserved. Slide 12
How does UBI work?


                                                                                            Driver




                                                               Improve Driving




                                                                                                       Feedback
                                                                                      Customer
                                                                                    Feedback Loop

                                                                                  Policy Period
            Market                                     Quote
                                                                     Collect & Analyze




                                                                                                     Driving Score
                                      Improve Rating




                                                                 Company
                                                               Feedback Loop

                                                                                 Underwriting

© 2008 EMB. All rights reserved. Slide 13
Improves driving and reduces accidents

UBI experience significantly better

        Norwich Union: 30%
        frequency reduction
        GreenRoads: >50%
        improvement in fleet crash rate
        Iceland postal service reduced
        crash rate by 56%

        Pepsi (Iceland) reduced fleet
        crash rates by over 80%



Early adopters will have increased profits and a competitive advantage

© 2009 EMB. All rights reserved. Slide 14
Risk Segmentation
   Deriving risk factors from the data,
   and applying loadings / discounts
   to customers to enhance selection

Risk Influence
   Customer feedback on behaviours
   to avoid
   Reducing Vehicle usage overall,
   and especially higher risk miles

Claims Effectiveness
   Informing the claims process
   Use of telematic data as evidence

Self Selection
  Reducing underwriting and claims
  fraud
KEY STEPS
Do it right and make money!




© 2008 EMB. All rights reserved. Slide 17
Challenges


                                            1.   Building customer proposition
                                            2.   Technology
                                            3.   Collecting and storing data
                                            4.   Translating data into risk exposure
                                            5.   Integration with existing systems
                                            6.   Customer interactions
                                            7.   Business risks




© 2009 EMB. All rights reserved. Slide 18
Alternative Models

     Dedicated Device
          Insurance must pay for device and install
          Need self install to appeal to mass market
          –     Reasonable cost
          –     Ease of use



     Shared Services Device
          Device is able to support added value services outside insurance for example
          –     Satellite Navigation
          –     Rerouting to avoid Traffic Congestion
          –     Theft Tracking
          –     Speed camera warnings
          –     Emergency Call etc.

          Hard install may be required for these




© 2009 EMB. All rights reserved. Slide 19
Important Questions

     What should device specifications include?
     What devices include critical functionality?
     What investment is the required and how to optimize
     the return?


     What data is pertinent?
     Is the data accurate?
     How much data is required?
     How to transfer, store, and analyze all this data?


     What do consumers want?
     How to begin without loss cost models?
© 2009 EMB. All rights reserved. Slide 20
Device Installation


Are vehicles compatible with the device?


Self-installable:
     Simple and convenient?
     Documentation and customer support?
     Verify installation?


Professionally installed:
     Arrangements with installers?
     Cost and time required?


© 2009 EMB. All rights reserved. Slide 21
Installation




                     OBD: Vehicle Event messages, VIN Number, Odometer reading, Speed


© 2009 EMB. All rights reserved. Slide 22
Data Sources


     Internally recorded by device
          Clock, Accelerometer


     Obtained from vehicle diagnostics
          VIN, Odometer, Speedometer, Engine operation


     Obtained from external sources
          GPS, Maps, Weather, Traffic


     Developed from raw data


© 2009 EMB. All rights reserved. Slide 23
Data Transmission Costs and Alternatives


     Data types


     Record size


     Frequency of transmission


     Data Compression




© 2009 EMB. All rights reserved. Slide 25
Data Uses


     Data needed for loss cost models


     Data consumer wants


     Data for additional services




© 2009 EMB. All rights reserved. Slide 26
VALUE
Is it worth the investment?




© 2008 EMB. All rights reserved. Slide 27
Added Value Services
     Safe Driver Coaching
          In vehicle feedback
          Web site reports

     Emergency Call
         Detect significant impacts
         Send text alerts (“Where am I” message)
         Real-time service to dispatch help

     Theft Service
          Detect motion without ignition
          Tracking and call for help

     Geo-fence Service
         Detect location outside boundary zone
         Trigger notification




                                        Subscription services could help subsidize the costs


© 2009 EMB. All rights reserved. Slide 28
Customer Feedback
What does this mean?

 Devices can track simple or very detailed driving behavior

          Significantly increase pricing accuracy

          Minimize reliance on detailed questions
          and controversial proxy variables

          Help customers understand and eliminate
          risky behaviors

          Differentiate product offering via
          additional services


   All this means increased profits and retention!


© 2008 EMB. All rights reserved. Slide 30
Contact Info


        Robin Harbage, FCAS MAAA
        C-Counsel Consultant


        EMB America LLC
        622 Falls Rd
        Chagrin Falls, OH 44022


        Robin.harbage@emb.com
        (440) 725-6204




© 2008 EMB. All rights reserved. Slide 31

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Learn How to Prepare for Usage Based Insurance Roll-Out

  • 1. Usage-based Insurance Telematics Detroit 2010 Robin Harbage C-Counsel Consultant
  • 2. Agenda Adoption patterns of telematics insurance • Usage-based insurance will enable a competitive edge Key steps in implementation of an economically viable usage-based insurance product with mass consumer appeal © 2009 EMB. All rights reserved. Slide 2
  • 3. USAGE-BASED INSURANCE ADOPTION What is driving this? © 2008 EMB. All rights reserved. Slide 3
  • 4. Personal Auto Early pilots used professionally installed OEM or after-market devices Subsidized cost for learning Inconvenient for consumers and low adoption rate Opportunities as device costs decline Multiple electronic makers offering devices Reliable self-installed devices becoming available © 2009 EMB. All rights reserved. Slide 4
  • 5. Technology costs have dropped Pricing accuracy Customers love it Politically accepted Accident reduction potential Retention dramatically increased
  • 6. Telematics Timeline © 2008-2009 EMB. All rights Slide 6 reserved.
  • 7. Monitored Driving Programs Hollard – SA AIOI – Japan Uniqua – Austria Real Insurance – Australia WGV - Germany Aryeh - Israel AXA – France, Ireland, Italy Aviva – Canada & Europe Allianz – Italy Progressive – US Lloyd Adriatic – Italy GMAC - US Reale Mutua – Italy Safeco – US Sara – Italy American Family – US Polis Direct - Netherlands Milemeter – US MAPFRE - Spain Travelers – US Norwich Union – UK (discontinued) CSAA - US Royal & Sun - UK Unigard – US (pending) Coverbox – UK © 2009 EMB. All rights reserved. Slide 7
  • 8. Appeals to participating consumers Once educated, UBI appeals to consumers Makes sense Controllable Side benefits As it is causal, reduces reliance on risk proxies Insurance credit scores Driver assignment Charges for relatively rare accidents, convictions © 2009 EMB. All rights reserved. Slide 8
  • 9. UBI COMPETITIVE EDGE The smart will prosper. © 2008 EMB. All rights reserved. Slide 9
  • 10. Key Benefits of Telematics Customer Insurer Significant reduction in premium Improved ability to assess risk for good risks Improvement in profitability: Less cross-subsidy for poorer Improved Loss Ratio drivers Increased persistency Feedback and recommendations Better Customer segmentation for improving driving and targeting Empowerment – more control Self-selection by customers over premium further compounds risk benefits Social benefits Avoid adverse selection Opportunity for ancillary benefits You have to get the customer proposition right – sharing the benefits Slide 10
  • 11. Historical Perspective Motor insurers have historically used risk proxy factors for assessing and pricing risk Risk Proxy Factors Genuine, Fundamental Risk Drivers  Age At what time of the day is the vehicle  Gender When? used?  Marital status  Garaging address Where? What type of road is the car driven on?  Use (personal, business, etc) ?  Convictions  Credit How is the vehicle driven – how fast How?  Vehicle type and how safely? How How many miles does the vehicle Much? travel? To date, these approximations have been good enough but technological advancements mean access to fundamental risk data is now achievable Slide 11
  • 12. Tremendous predictive power Various studies demonstrate predictive potential Companies gain competitive advantage through better segmentation Elimination of cross-subsidization is more “fair” © 2009 EMB. All rights reserved. Slide 12
  • 13. How does UBI work? Driver Improve Driving Feedback Customer Feedback Loop Policy Period Market Quote Collect & Analyze Driving Score Improve Rating Company Feedback Loop Underwriting © 2008 EMB. All rights reserved. Slide 13
  • 14. Improves driving and reduces accidents UBI experience significantly better Norwich Union: 30% frequency reduction GreenRoads: >50% improvement in fleet crash rate Iceland postal service reduced crash rate by 56% Pepsi (Iceland) reduced fleet crash rates by over 80% Early adopters will have increased profits and a competitive advantage © 2009 EMB. All rights reserved. Slide 14
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  • 16. Risk Segmentation Deriving risk factors from the data, and applying loadings / discounts to customers to enhance selection Risk Influence Customer feedback on behaviours to avoid Reducing Vehicle usage overall, and especially higher risk miles Claims Effectiveness Informing the claims process Use of telematic data as evidence Self Selection Reducing underwriting and claims fraud
  • 17. KEY STEPS Do it right and make money! © 2008 EMB. All rights reserved. Slide 17
  • 18. Challenges 1. Building customer proposition 2. Technology 3. Collecting and storing data 4. Translating data into risk exposure 5. Integration with existing systems 6. Customer interactions 7. Business risks © 2009 EMB. All rights reserved. Slide 18
  • 19. Alternative Models Dedicated Device Insurance must pay for device and install Need self install to appeal to mass market – Reasonable cost – Ease of use Shared Services Device Device is able to support added value services outside insurance for example – Satellite Navigation – Rerouting to avoid Traffic Congestion – Theft Tracking – Speed camera warnings – Emergency Call etc. Hard install may be required for these © 2009 EMB. All rights reserved. Slide 19
  • 20. Important Questions What should device specifications include? What devices include critical functionality? What investment is the required and how to optimize the return? What data is pertinent? Is the data accurate? How much data is required? How to transfer, store, and analyze all this data? What do consumers want? How to begin without loss cost models? © 2009 EMB. All rights reserved. Slide 20
  • 21. Device Installation Are vehicles compatible with the device? Self-installable: Simple and convenient? Documentation and customer support? Verify installation? Professionally installed: Arrangements with installers? Cost and time required? © 2009 EMB. All rights reserved. Slide 21
  • 22. Installation OBD: Vehicle Event messages, VIN Number, Odometer reading, Speed © 2009 EMB. All rights reserved. Slide 22
  • 23. Data Sources Internally recorded by device Clock, Accelerometer Obtained from vehicle diagnostics VIN, Odometer, Speedometer, Engine operation Obtained from external sources GPS, Maps, Weather, Traffic Developed from raw data © 2009 EMB. All rights reserved. Slide 23
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  • 25. Data Transmission Costs and Alternatives Data types Record size Frequency of transmission Data Compression © 2009 EMB. All rights reserved. Slide 25
  • 26. Data Uses Data needed for loss cost models Data consumer wants Data for additional services © 2009 EMB. All rights reserved. Slide 26
  • 27. VALUE Is it worth the investment? © 2008 EMB. All rights reserved. Slide 27
  • 28. Added Value Services Safe Driver Coaching In vehicle feedback Web site reports Emergency Call Detect significant impacts Send text alerts (“Where am I” message) Real-time service to dispatch help Theft Service Detect motion without ignition Tracking and call for help Geo-fence Service Detect location outside boundary zone Trigger notification Subscription services could help subsidize the costs © 2009 EMB. All rights reserved. Slide 28
  • 30. What does this mean? Devices can track simple or very detailed driving behavior Significantly increase pricing accuracy Minimize reliance on detailed questions and controversial proxy variables Help customers understand and eliminate risky behaviors Differentiate product offering via additional services All this means increased profits and retention! © 2008 EMB. All rights reserved. Slide 30
  • 31. Contact Info Robin Harbage, FCAS MAAA C-Counsel Consultant EMB America LLC 622 Falls Rd Chagrin Falls, OH 44022 Robin.harbage@emb.com (440) 725-6204 © 2008 EMB. All rights reserved. Slide 31