innovations in life insurance distribution &...

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Innovations in Life Insurance Distribution & Customer Engagement Marc Sofer BSc FFA FIAA Head of Strategic Initiatives – North Asia & India

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Innovations in Life Insurance

Distribution & Customer Engagement

Marc Sofer BSc FFA FIAA

Head of Strategic Initiatives – North Asia & India

� Traditional agency distribution is being challenged in many markets:

o Expensive to maintain.

o Aging distribution force.

o Difficulties recruiting new, younger agents in to the profession.

� Underinsurance (the “protection gap”) is an issue around the globe:

o Engagement with the middle-income and emerging middle-income market is both

a focus and challenge for insurers.

� In the current economic climate, growth is difficult and insurers have

recognized the need to diversify.

� Generational changes (consumer demographics) and technology are

influencing the way we do business.

Setting The Scene

2

Next Generation of Customer

3

Any different from your existing customers?

Who is it?

4

Consumers are accessing the internet more and more via mobiles

Do we have smart and engaging content to engage them?

http://www.techinasia.com/thailand-countries-highest-smartphone-tablet-usage-sea/

Next Generation of Customer

How will they learn about life insurance?

Consumers are Transacting Differently

5

People are comfortable and willing to

transact online and via mobile…Issues with security, usability, engagement?

The Customer

Do Customers Know What They Want?

6

“How does somebody know

what they want if they haven’t

even seen it?”Steve Jobs

“If I had asked people what

they wanted, they would

have said faster horses.”Henry Ford

What customers don’t want

�Bothered / Pestered / Annoyed

�Pressured

�Product push

�Feel ripped off

�Time wasted

The Customer

What Do Customers want?

7

What customer might want

�Feel like they are important

�A good deal

�Flexibility / Control

�Efficient process

�Trust and confidence

�Satisfaction

�Education / awareness

The Customer

8

Are these any different from the needs of your existing customers or target customers?

What are their needs?

Distribution

9

What are our distribution options?

In-Store /

In-Branch

display

Leaflet at

checkout

In-Store /

In-Branch

manned kiosk

SMS Loyalty cards Direct response

TV / Radio

Direct

response

print

Engagement Source

Outbound TM Online /

Internet

Mail Bank Branch Advisor Inbound TM In store

manned kiosk

Distribution Channel

Online ad Referrals Email Online search Tweet

#lifeinsurance

Facebook

‘Like’ or post

Instagram

#repost

Engagement Source

10

(Potential)Customer

Demographic Data

Build Models& Make

Predictions

Prescription Histories

InsuranceData

Electronic Health

Records

Property Data

BankingData

Socio-Economic

Driving Violations

Past Claims History

LaboratoryData

Spending Data

Interests & Behaviors

…and more

BIG DATA Opportunities and Challenges

� People of all ages, weight and gender are embracing wearable fitness

devices offering real-time data to track their physical activity.

o Bracelets – Fitbit Flex, Jawbone Up, Nike Fuelband etc.

o Watches – Galaxy Gear Fit, LG G Watch, iWatch etc.

� Although wearable device shipment volumes will reach just 19 million units

in 2014, that figure will grow to over 100 million in 2018, according to IDC

research.

� Portable, inexpensive devices may improve patient outcomes by collecting

health data and influencing behavior.

Rise of the Quantified Self

11

External Devices Monitoring Physical Activity

Image: http://www.macrumors.com/roundup/iwatch/ Image: http://www.samsung.com/global/microsite/gear/gearfit_features.html

Rise of the Quantified Self

12

Other Devices

� Smart scales: measure weight, body composition, heart rate, and air quality.

� Blood Pressure: Accurately measure blood pressure.

� Blood Glucose Meters: For Diabetes patients.

� Sleep Pattern Monitors: Optimize sleeping habits.

� Heart Rate and Blood Oxygen.

� More on the horizon:

o Health monitoring tattoos

o Digestible devices

o Implantable devices

Source: http://www.withings.com/

Potential Risks and Opportunities for the Insurance Industry

Applicant Anti-Selection

Insurer Overreaching

Regulatory Action

Information Overload

13

Point of Sale Underwriting

Research and Analytics

Improved Consumer Health

Market Expansion

Customer Engagement

Risks Opportunities

� Important to engage with customers:

o Pique interest.

o Raise awareness.

o Need to start the conversation – this can be online, chat, SMS, social media, in

your local grocery store…it can be anywhere.

o Ensure you can make smart offers to customers at the right time.

� Banks

o Can we count on banks? In certain segments…

o Banks are trying…and insurers are trying…

� Need to think about other forms of engagement sources, lead

generators and ways to improve interactions.

Engagement is Key

14

Pace of change is increasing and we

must be ready to seize opportunities

Case Studies

15

Online Platforms

16

� Almost 200,000 policies a year sold.

� Simple, inexpensive term life and other coverage.

� 30-40% growth in recent years.

� Big brand, lots of advertising, awareness.

� Aggregator sites.

� Almost 400M of in-force revenue

after 15 years of operations.

� AUD 65M of New business in

2011.

� Big brand, lots of advertising, lots

of distribution.

� Model transformation:

o Awareness to brand.

o Funeral to term.

o Direct response to affinity.

17

� Almost 130M of in-force

revenue after 5 years of

operations.

� AUD 70M of new business in

2011.

� Big brand, lots of advertising,

lots of distribution.

� Model transformation:

o Awareness to brand.

o Funeral to both funeral and

term.

o Aggregator site.

Online Platforms

18

Online Platforms

� Predictive analytics use of statistics, modeling and data mining to analyze

current and historical facts to make predictions about future events.

� Propensity to buy – use existing data and information in statistical modeling

to identify customers most likely to purchase.

� Predictive underwriting is a simplified insurance underwriting process

where data is analyzed and customers with high likelihood to pass

underwriting are identified and given a “pre-approved” offer with minimal

question asked.

Smart Use of Data

Improve the issue process for the customer and distributor

19

Predictive Underwriting Case Study

� Age at entry

� Branch

� Assets Under

Management

� Customer

Segment

� Nationality

Top Predictive Variables

Score

90-100 Most

likely Standard

Score

0-10

Most likely

Non-

Standard

Model Results

Simplified Issue

Guaranteed Issue

20

� A pop-up screen appears when you are

withdrawing money.

� Clever market segmentation and customer

profiling:

o Target specific customers at specific points

in time.

o No underwriting.

� Clever use of buttons.

� Cover ≈ €5000

� “5-10%” take-up rates reported by

company.

Critical Illness through ATMs

Using technology and data analytics to drive sales

Opportunity to build brand and create awareness…and distribute life insurance

21

� Target individuals who have experienced a recent ‘life event’� Trigger for individuals to think about life insurance.

� Find engaged customers.

� Simplified underwriting to provide insurance coverage for people who have experienced a life event (marriage, child, buy property) in the past x months.

Life Event’s Campaign

Engage customers

22

Great engagement opportunity: target products to customers when they need it most and feeling vulnerable and responsible

Opportunity to cross-sell products to interested customers

� Driven largely by the trend for retail chains to diversify into financial services e.g. Tesco, Walmart, Wolloworths, Coles etc.

� Products sold in kiosks or dedicated areas of retail stores:

o Sell very simple short term products.

o Either GI or SI underwriting process depending on the product.

o Possible tele-underwriting for more complicated products and refunds or vouchers for those that do not qualify.

o Clear markings on who should NOT by the product.

� Packaged Selling

o Include very short term coverage at no additional cost with more extended coverage upsold shortly thereafter.

o Attach this coverage to relevant products e.g. dental coverage with electronic toothbrushes?

� In Store Advertising

o Advertising at the check out counter.

o Advertising particular products in relevant parts of the store.

� Encourage sales via points or shopping vouchers.

Shopassurance

23

24

MetLife Walmart

A simple approach designed to penetrate the underserved middle market

25

MetLife Walmart

26

In store sales to affinity marketing & tied bank sales

Brand, in store marketing and in store banking drive leads

Tesco

What is happening?

�Use of wellness programs to incentivize healthy behavior.

�Insurers aligning themselves with health/fitness providers allowing access to services at

reduced rates.

�Insurers providing incentives for policyholders to improve health via financial rewards

e.g. discounted flights, free calls etc.

�Some insurers offering renewal premium discounts, which also improves persistency.

�Program launched in the US, South Africa, UK and emerging in Asia Pacific.

What is driving this trend?

�Recognition of alignment of interests between the insurer & consumer.

�Increase in general awareness to stay healthy.

�Technology trends e.g. smartphones and wearables.

�A desire to create a framework for integration and big data.

�Need for differentiation and more attractive propositions as protection and Accident and

Health products become more core.

Wellness Programs

27

� The world’s largest science-backed wellness program.

� As at 31 Dec 2013, 5.5 million members across South Africa, the US, United Kingdom, China & Singapore.

The Discovery Vitality Program

28Source: www.discovery.co.za

� Wellness (Loyalty) Programs are ubiquitous:

o Discovery Vitality

o Momentum Multiply

o Sanlam Reality

o Universal Healthcare 360˚

o Zurreal

o Liberty Own Your Life (Loyalty)

� Partners include:

o Health & Fitness (Virgin Active, Planet Fitness, Curves, Run Walk for Life)

o Travel (Kulula, Mango, Emirates, British Airways, Protea Hotels, Europcar)

o Wearables (Garmin, Fitbit, Fitbug, Jawbone, Timex, Magellan, miCoach)

o Healthy Food (Pick ‘n Pay, Woolworths)

o Healthy Gear (Adidas, Totalsports)

o Retail (Toys R Us, Nandos, Incredible Connection, Exclusive Books, @ Home)

o Other (Movies, Mobile)

Impact of Wellness on the South African Economy

29

Sourceshttp://www.planetfitness.co.za/momentum-multiply/http://www.nandos.co.za/menu

Discovery’s Vitality shows that

wellness programs can...

o Lower claim incidence.

o Improve lapse rates.

o Increase brand awareness.

Source: Discovery Interim Results Presentation

The Discovery Vitality Program

30

Fresh Thinking for New Consumers

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� They don’t read too well.

� Ave reading age is 9

& these are the best

buys for 9 year olds…

� Fill in surveys that they are interested in to get something back.

Am I different? Which group am I in?

Fresh Thinking for New Consumers

32

What is the reality about people….

� Tomorrow’s customers are generation social:

o Mobile / tablet users.

o Touchscreens not text.

o Younger ages 25-40.

� They want things to be Portable, Visual & Interactive.

� Learning about life insurance does not have to be a chore:

o An application can take 2 minutes, 5 minutes, 15 minutes – if you are engaged

with the customer then does it matter?

Fresh Thinking for New Consumers

33

Who are tomorrow’s customers and how will we talk to them?

� Huge opportunity to materially increase protection product sales.

� Proven that if you have the right strategy, focus, tenacity and talent it

can be achieved.

� Must begin to invest and innovate:

o Key is customer engagement.

o Fail Often, Fail Fast, Fail Cheap.

� Huge opportunity for life insurers if we can seize it.

Summary

34

Questions and

Discussion

35