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Usage-based Insurance for Commercial Lines Thursday, February 28, 2013, 8:30 a.m. Mohamad Hindawi, PhD, FCAS Consultant Towers Watson Camas, Wash. Mohamad Hindawi has several years of experience in the property/casualty insurance industry. His areas of expertise include pricing, predictive modeling, and usage-based insurance. Mohamad has experience in personal lines and commercial lines, including non-traditional actuarial areas such as customer lifetime value. Mohamad is a consultant with Towers Watson and is the lead on commercial usage-based insurance. Prior to that, Mohamad served as the global product manager for Towers Watson’s usage-based insurance for personal lines. Prior to joining Towers Watson in 2011, Mohamad held a director position at the Travelers Insurance Companies, Inc. and pricing manager and predictive modeler positions at Allstate Insurance Company. Mohamad is a fellow of the Casualty Actuarial Society. He holds a Ph.D. in mathematics from University of Pennsylvania. Prior to the start of his career in the insurance industry, Mohamad held a faculty position in the mathematics department at Ohio State University. He was also a visiting scholar to the Max Planck Institute for Mathematics in Germany. Session Description: Making the business case for a telematics application in the commercial lines is easier than personal lines. Surprisingly, the majority of successful product offerings in the insurance industry are in personal lines. Nevertheless, commercial auto insurers are moving quickly to catch up with personal auto insurers. In this presentation, we will discuss the history of telematics application in the insurance industry with a focus on commercial lines. We will contrast personal and commercial line needs. We will discuss usage- based insurance (UBI) strategies that worked for personal lines and why they do not work in commercial lines. We will focus on how to build a strategy for a UBI commercial offering that is aligned with your customer needs and your company’s long-term goals. We will discuss implementation challenges and where we expect the market to be in the future.

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Page 1: Usage-based Insurance for Commercial Lines€¦ · In commercial applications, the term has evolved to refer to the following major groupings: Fleet management infrastructure —

Usage-based Insurance for Commercial Lines Thursday, February 28, 2013, 8:30 a.m.

Mohamad Hindawi, PhD, FCAS Consultant Towers Watson Camas, Wash. Mohamad Hindawi has several years of experience in the property/casualty insurance industry. His areas of expertise include pricing, predictive modeling, and usage-based insurance. Mohamad has experience in personal lines and commercial lines, including non-traditional actuarial areas such as customer lifetime value. Mohamad is a consultant with Towers Watson and is the lead on commercial usage-based insurance. Prior to that, Mohamad served as the global product manager for Towers Watson’s usage-based insurance for personal lines. Prior to joining Towers Watson in 2011, Mohamad held a director position at the Travelers Insurance Companies, Inc. and pricing manager and predictive modeler positions at Allstate Insurance Company. Mohamad is a fellow of the Casualty Actuarial Society. He holds a Ph.D. in mathematics from University of Pennsylvania. Prior to the start of his career in the insurance industry, Mohamad held a faculty position in the mathematics department at Ohio State University. He was also a visiting scholar to the Max Planck Institute for Mathematics in Germany. Session Description: Making the business case for a telematics application in the commercial lines is easier than personal lines. Surprisingly, the majority of successful product offerings in the insurance industry are in personal lines. Nevertheless, commercial auto insurers are moving quickly to catch up with personal auto insurers. In this presentation, we will discuss the history of telematics application in the insurance industry with a focus on commercial lines. We will contrast personal and commercial line needs. We will discuss usage-based insurance (UBI) strategies that worked for personal lines and why they do not work in commercial lines. We will focus on how to build a strategy for a UBI commercial offering that is aligned with your customer needs and your company’s long-term goals. We will discuss implementation challenges and where we expect the market to be in the future.

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Top Three Session Ideas Tools or tips you learned from this session and can apply back at the office.

1. ______________________________________________________________________

2. _______________________________________________________________________

3. ________________________________________________________________________

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Usage-based Insurance for Commercial Lines Session Outline

Overview Background

• Telematics 101 • Vehicle Telematics – How Does it Work? • Telematics can Provide Many Data Elements • Data can Provide a Wealth of Information • Telematics in Commercial Auto • Current Telematics Applications Focusing on Fleets • Components of Complete Behavioral Change Model • Examples of Current Driver Safety Programs

o Components o Interactive Dashboard o Chart/List

Telematics in the Insurance Industry

• Telematics Can Be a Game Changer • Telematics Allows for More Accurate Pricing • Monitoring/Feedback Lowers Risk • Telematics in Personal Auto • Early Insurer Activity in Commercial Programs

Contrasting Personal and Commercial UBI

• Personal Lines UBI vs. Commercial Auto Risk Management • Historical Approach to Use of Telematics Varies

o Personal o Commercial

• Differences Between Personal and Commercial Lines Current Challenges and Successful Strategies

• What are the Challenges? • Alignment Challenge – Business Goals

o Insurer o Commercial Fleet

• The Current Disconnects in the Market • Models in Commercial Insurance and their Shortcomings • Implementing UBI: Lessons Learned

Questions & Answers

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towerswatson.com © 2013 Towers Watson. All rights reserved. Proprietary and Confidential. For Towers Watson and Towers Watson client use only.© 2013 Towers Watson. All rights reserved.

Usage-based Insurance for Commercial Lines

Mohamad Hindawi, PhD, FCASFebruary 28, 2013

towerswatson.com © 2013 Towers Watson. All rights reserved. Proprietary and Confidential. For Towers Watson and Towers Watson client use only.

Objectives

On the surface, it would seem that building a telematics insurance product for commercial lines should be easier than personal lines: Less privacy concerns in fleets than on personal lines Bigger average premium to support funding programs Many more benefits for commercial insureds than personal insureds Existing telematics technology in many large fleets And more…

Objectives:

To understand why many of the successful telematics insurance products are in personal lines

To understand the current challenges in launching a telematics insurance commercial product

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Table of contents

Background 3

Telematics and the insurance industry 14

Comparing personal and commercial UBI 20

Current challenges and successful strategies 25

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Background

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Telematics 101

Telematics is the technology of sending, receiving and storing information via telecommunication devices in conjunction with effecting control on remote objects*

In commercial applications, the term has evolved to refer to the following major groupings: Fleet management infrastructure — vehicles, GNSS, network and back-

office Vehicle management — diagnostics and maintenance, security Driver management — insurance risk management, driver data and

eco-driving Operations management — routing and navigation, logistics, mobile

workforce Regulatory compliance — CSA, HOS, Fuel tax

*Wikipedia, The Free Encyclopedia, Telematics. 4

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Vehicle telematics — How does it work?

5

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Telematics can provide many data elements…

TELEMATICS

Start time Start location Use of seatbelt Roads used Use of

accelerator

Use of brakes Speed Stop time Stop location Idling time

Time taken Mileage Time of impactDirection of

impactImpact severity

Driver —if camera is installed in vehicle

Number of passengers —if camera is installed in vehicle

6

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Data can provide a wealth of information

TELEMATICS

Start time Start location Use of seatbelt Roads used Use of

accelerator

Use of brakes Speed Stop time Stop location Idling time

Time taken Mileage Time of impactDirection of

impactImpact severity

Driver —if camera is installed in vehicle

Number of passengers —if camera is installed in vehicle

Route taken Route-based charging Local area information Insurance rating

Vehicle recovery Vehicle location Incident alert Incident details

Driving quality assessment Distance-based charging Monitoring vehicle usage

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Telematics in commercial auto

Implementation varies widely depending on type and size of fleet Large, long haul trucking has significant

penetration (~80%) Small, artisan fleets (<10%)

Primarily used for fleet management, not insurance

Many telematics manufacturers and distributors; professional installation typically required Annual maintenance provides opportunity High average premium justifies cost

Some have data to create a risk score, but lack of standard data and variability of behavioral models have been issues industry-wide

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Current telematics applications focusing on fleets

There are over 300 telematics vendors — most focus on GPS tracking and other operational models; some are adding risk monitoring at varying levelsCurrent applications include: Operational efficiency

Real-time GPS vehicle tracking Routing Fuel saving Dispatch applications

Driver safety Behavior measurement only Behavior change management programs

– Real-time feedback• Flashy lights• Voice

– Non-real time feedback

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Components of complete behavioral change model

10

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Speed AccelerationBrake Turns

Examples of current driver safety programs

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Interactive dashboard provides review and benchmarking of drivers and teams

Examples of current driver safety programs

12

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Detailed List of Events by Driver

Examples of current driver safety programsCharts Indicate Areas for Improvement

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Telematics in the insurance industry

14

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Telematics can be a game changer

Pricing Improved risk measurement and pricing Driving behavior may correlate with other non-auto risks

Risk control Highly effective behavioral (risk) change models possible

Product Support for the “right” products and services Changing the overall value proposition with the insurer

Claim Ability to better manage fraud Could inform claim processing

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Telematics allows for more accurate pricing

Various studies demonstrate predictive potential

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

16

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Monitoring/feedback lowers risk

Norwich Union: 30% frequency reductionIceland Postal Service: Reduced crash rate by 56%Pepsi (Iceland): Reduced fleet crash rates by over 80%GreenRoad: 54% improvement in fleet crash rate

Safer drivers decrease fuel consumption by roughly 10%

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Telematics in personal auto

U.S. companies representing over 75% of the market already have programs or are actively pursuing them

45 states have implemented 4+ Personal Auto UBI programs — Ohio has 11!

Inactive24%

Programs range from simple verified-mileage programs to full-fledged UBI offerings

18

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Early insurer activity in commercial programs

Programs announced in past three years:1. Hartford: FleetAhead initially offered in New Jersey expanding to National

Accounts — Middle markets and small fleets broadly — program being operationalized

2. Liberty Mutual: OnBoard Advisor program in 14 states in at least three subsidiary companies, including Safeco

3. Travelers: Fleet Vehicle Telematics program available as of September 2010

4. Zurich: ZFI launched in 2011 — Panel of partners: DriveCam, GreenRoad, IVOX, SmartDrive and Trimble (in the US). Limited data is collected via their data gateway partner, IDS

Initial activity primarily within Global Corporate — economic incentives Marsh is believed to be the only large broker actively promoting a

program Niche market brokers are creating new products supported by

underwriters who are subsidizing the programs

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Comparing personal and commercial UBI

20

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Personal lines UBI vs. commercial auto risk management

Personal insurance offering has been dominated by the need for better price segmentation

The telematics needs for (very) small commercial can be similar to personal lines but many also want to change their risk profiles

The telematics needs for medium- and large-sized commercial companies are significantly different than the needs of individuals and small commercial fleets The focus is risk management and operational efficiency

Pricing Risk Control

Personal Insurance National AccountsSmall Commercial Middle Market

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Historical approach to use of telematics varies from personal to commercial

Personal

A consumer’s first experience with risk-based telematics likely came from an insurer supplied telematics (UBI) program

Insurers are currently fully funding UBI programs to collect data to identify profitable customers

Model is primarily focused on measurement of risk with subsequent pricing adjustments

Use of self-selection and mileage are primary factors supporting early UBI programs

22

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Historical approach to use of telematics varies from personal to commercial

Commercial

Many commercial fleets already use telematics to manage operational efficiency Fleets generally seek improved operations over risk management alone Some market segments invested heavily in telematics systems

The focus historically has been on efficient movement of the vehicle There are an estimated 300+ varieties of commercial telematics

products in the market, which vary in terms of data collected and business value

Data/analytics from existing systems is not comparable between systems

Programmatic approach to risk management (change) varies substantially, with widely varying results

23

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Differences between personal and commercial lines

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Personal

Auto is core business Insurers can deploy standard

technology (original devices) Self selection works to insurers’

favor based on single user Insurer can establish the platform

that suits their business Product offering can be adapted

to support target business model

Commercial

Auto is smaller percentage of total product line

Extensive existing technology base (depends on segment)

Data availability varies widely Capabilities vary widely Often very expensive Focus on operational efficiency Behavioral change models vary

widely

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Current challenges and successful strategies

25

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What are the challenges?

Most current telematics fleet programs were developed solely to improve operational efficiencies

A large number of telematics devices are already installed in large fleets by a wide variety of telematics service providers

Large self-insured fleets could benefit from loss reduction measures, but insurers have trouble incenting them because policies often carry high deductibles or cover liability only

Commercial telematics companies have very limited (in most cases none) access to claims data

26

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What are the challenges?

Data collection is based on simple thresholds, which limits visibility to causal factors

Effective behavioral-based programs are highly dependent on a wide range of complex activities

Commercial vehicle operational characteristics vary widely; pricing models must be able to incorporate these differences

Commercial systems are currently prohibitively expensive

27

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Alignment challenge — Business goals — Insurer and Fleet

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Insurer

Customer acquisition Customer profitability Improve pricing accuracy Retain the right customers Profitability Fraud management Improve economic performance Capture market share Build book of right customers

Commercial Fleet

Generate more revenue Reduce costs Improve operational efficiency Employee safety Employee retention and job

satisfaction Profit Reduce fuel consumption

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Models in commercial insurance and their shortcomings

“Comprehensive offering” model “Panels of providers” model “Pricing” model (a.k.a. personal insurance model) Something else?

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Implementing UBI: Lessons learned

Carefully choose the segment for initial launch Define your value proposition (what’s in it for me?) Find the right solution for your value proposition Don’t overspend on initial infrastructure Get the data you need, not the data you’re given Test, learn, and adapt

30

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Contact details

Mohamad Hindawi, PhD, FCASTowers Watson(860) [email protected]

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