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Insurance talksInsights around the world
17 June 2020
Insurance talks | Insights around the worldCopyright © 2020 Deloitte Consultores S.A.. All rights reserved. 2
1. Welcome & Introduction
2. Insights from Portugal
3. Insights from China
4. Insights from United Kingdom
5. Insights from Poland
6. Q&A
7. Wrap up
Agenda
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1. Welcome & Introduction
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S O C I A L A N D E C O N O M I C S O U T L O O K
Covid-19 crisis management led to severe containment measures implemented by Governmental authorities
COVID-19 MAIN EVENTS WORLDWIDE
K E Y T A K E A W A Y S
• Portugal reacted rapidly to Covid-19 outbreak and adopted severe measures aimed at controlling new cases’ evolution.
• China imposed a 2,5-month lockdown period in Wuhan, the longest lockdown period in all countries analyzed.
• Hong Kong declared emergency state before first confirmed death and did not impose a complete lockdown.
• UK did not declared formally an emergency state, although introduced legislation on March 19th to strengthen the response to the COVID-19.
• Poland declared emergency state as soon as first death confirmed and imposed a 5-week lockdown, the shortest of all countries analyzed.
Nov/19 Dec/19 Jan/20 Feb/20 Mar/20 Apr/20 May/20 Jun/20
1) Emergency State and lockdown period dates presented correspond to Wuhan (measures were implemented differently depending on China’s provinces and cities)
Legend: First case confirmed State of Emergency declared Lockdown period (1st phase)1k cases confirmed 10k cases confirmed
PORTUGAL
CHINA1)
HONG KONG
UK
POLAND
Although not introducing a complete lockdown, Hong Kong imposed
restrictive measures (e.g. closed borders and social
gatherings limited to 4 persons)
Source: National authorities and Oxford University (Covid-19 tracker)
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Who are we?
Meet us
Cristina leads the Insurance Sector at Deloitte Portugal. With over 20 years of experience in Financial Services, she has been working with insurers in Portugal, Nordics and Angola.
She has assisted a number of organizations in their IT strategic planning, IT operations effectiveness, digital transformation and core transformation to drive efficiency and profitable growth.
Tim Pagett is Deloitte Asia Pacific's Financial Services Industry Leader and also the Sector Leader for Insurance across Asia Pacific. He is responsible for leading the development of the firm’s capabilities on the provision of full-range professional and advisory services to the financial services sector.
Tim’s 33 years of experience spans the full spectrum of audit and risk management in financial and non-financial institutions, from both the practitioner and service provider perspective. He has been based in China for the past 14 years and has provided services to the leading players across the financial services markets.
Mark Patterson is a Partner at Deloitte where he leads the Global General Insurance sector. He has conceived, designed, and executed some of the largest and most ambitious transformations in the industry across North America, Europe, and Asia. He works with insurers and insurance service providers to develop strategies to drive growth and profitability leveraging digital models.
Marcin has over 20 years of professional experience working for leading European and global financial institutions. He has a successful track record in strategy definition and execution, digital transformation, product development and implementation, sales channels development and management, customer excellence, IT and operations management. Before joining Deloitte Digital Marcin held C-level managerial positions in Liberty, Axa and Allianz.
CRISTINA GAMITO| PARTNER | INSURANCE LEADER | PORTUGAL
TIM PAGETT| PARTNER | FS LEADER | ASIA PACIFIC
MARK PATTERSON| PARTNERINSURANCE CONSULTING| UK
MARCIN WARSZEWSKI| PARTNER | POLAND
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2. Insights from Portugal
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S O C I A L A N D E C O N O M I C S O U T L O O K
Covid-19’s impact led to the deterioration of the main macroeconomic indicators in Portugal, also affecting negatively future projections
GDP GROWTH GOV. NET LENDING/BORROWING
Source: INE, Bank of Portugal and European Commission
1,7%2,2%
-9,5%-8,0%
2019 2020
5,9%
6,5% 10,1%
13,9%
2019 2020
YoY, in % in %
Source: INE, Bank of Portugal and IMFSource: INE, Bank of Portugal and IMF
In % of GDP
-7,1%
0,2%
-6,5%
-9,3%2019 2020
Value in 2020 1Q
-2,4%
Value in 2020 1Q
6,2%
UNEMPLOYMENT RATE
Projection European Commission (May/20)
BoP Projection (Dec/19)
BoP Projection (Jun/20)Legend: Projection IMF (Apr/20)
Projection Public Finance Council (Mai/20) – adverse scenario
-11,8%
13,2%
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S O C I A L A N D E C O N O M I C S O U T L O O K
The lockdown has led to several changes in Portuguese business outlook and consumers’ concerns and behaviors
Source: (by order of appearance) Portuguese government, INE/Bank of Portugal, AIP, Boutique Research/Netquest, Public Health National School, Católica University, Portuguese government, DGS and Boutique Research/ Netquest
B U S I N E S S O U T L O O K
39%of companies consider current economic recovery measures insufficient
>110kcompanies requested lay-off since Covid-19 outbreak in Portugal
8%of companies remained closed on May 31st
C O N S U M E RC O N C E R N S
~50%will not spend holidays away from home
45%don’t want to go to a shopping center after lockdown
22%cancelled medical appointments by their own initiative
C O N S U M E R B E H A V I O R S
24%performed the first online purchase or acquired products that they have never bought before online
-70%reduction in traffic road accidents between March and May
+49%telemedicine appointments in April in Public Health System Units
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C O V I D - 1 9 I M P A C T O N P O R T U G U E S E I N S U R A N C E S E C T O R
Covid-19 has impacted Portuguese insurance sector, providing operativeand business challenges …
O P E R A T I V E I M P A C T S
Adoption of teleworking Restriction to in-person interactions
Adoption of new products features and services
B U S I N E S S I M P A C T S
New business strong reduction
Decrease in churn in Non-Life business
-24%business drop in Q1
- 44%reduction in life business
+ 6,3%growth in non-life Insurance
Reduction of claims (mainly Health and P&C)
Premium return with different approaches
Source: ASF
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C O V I D - 1 9 I M P A C T O N P O R T U G U E S E I N S U R A N C E S E C T O R
In the future, we predict a set of 5 forces that will impact insurance companies
#1
#2
#3
#4
#5
Customers increasing digital adoption will create a higher demand for solutions and iterations provided through digital platforms, affecting
distribution traditional channel management
New operating models, recently viewed as unachievable, have proved to work even if with some challenges. As result, Insurance companies
will re-evaluate the operating model to incorporate flexibility and resilience
Insurance companies will adjust their products to be more flexible in adjusting to client needs, new opportunities such as business
interruption and cyber-risk products will be considered and turning permanent the temporary adjustments offered during Covid19 outbreak
Insurance companies will prioritize new revenue streams creation by expanding their non-financial offering through ecosystems (e.g.
healthcare, home solutions) in order to increase value proposition and differentiate future offer
Since interest rates are expected to remain at low levels, insurance companies will offer less products with guaranteed capital, thus
development of innovative life & savings solutions and increasing customer’s financial literacy are critical for the future
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3. Insights from China
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• Societal responsibility – focused on the vulnerable & front line responders
• Building on digital investment
o On-line engagement for Claims
o On-line & direct underwriting
o Agency engagement
• Regulatory engagement
o Policy holder protection
o Product simplification
o Terms & conditions
• Ecosystem connectivity
Where we are on the journey ….
Insight from China
Respond & Recover
Jan-Apr 2020
Jan-Apr 2019
YOY Change
Jan-Mar 2020
Jan-Mar 2019
YOY Change
CNY Bn CNY Bn
Total Premiums 1,988.6 1,905.9 4.3% 1,669.5 1,632.2 2.3%
P&C 401.6 388.7 3.3% 296.1 295.3 0.3%
Life & Health 1,587.0 1,517.2 4.6% 1,373.4 1,336.9 2.7%
Life 1,218.3 1,200.5 1.5% 1,079.8 1,086.3 -0.6%
Health 329.3 273.2 20.5% 264.1 217.2 21.6%
Accident 39.4 43.5 -9.4% 29.5 33.4 -11.7%
Total Claims 410.9 429.7 -4.4% 303.1 331.8 -8.6%
P&C 183.2 195.4 -6.2% 126.1 142.7 -11.6%
Life & Health 227.7 234.3 -2.8% 177.0 189.1 -6.4%
Life 143.1 157.1 -8.9% 116.5 131.5 -11.4%
Health 75.5 67.6 11.7% 54.1 50.4 7.3%
Accident 9.1 9.6 -5.2% 6.4 7.2 -11.1%
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Where to next…
Insight from China
Moving to Thrive
Agency Enablement
Enhancing professional management approach
Enhanced tooling and use of social media
Remote management & supervision
Ecosystems
Vertical alignment and connectivity in Health
Drive in big tech & social media connectivity
Product development & launch - online
Market Entry & Development
Foreign Insurers & Opening Up Measures
Greater Bay Area – InsureConnect
Health & Cost Effective Protection
On-line engagement
Government policy on P&C
Infrastructure investment on connectivity
Regulatory guidelines on simplification
Upgrade sales AI, service AI and Management AI
What will be the near term prospects?
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4. Insights from UK
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In the UK the vast majority of travel was driven, this has been consistent over the past 10 years
How did people travel in the UK prior to COVID-19?
Percentage of average annual travelled miles by type of transportation:
78%Driving
17%Bus & Rail
3%Walking
<1%Taxi &
Minicab
1%Cycling
<1%Other (Air,
Ferries)
Source: UK Department for Transport, July 2019, NTS0303, https://www.gov.uk/government/statistical-data-sets/nts03-modal-comparisons#trips-stages-distance-and-time-spent-travellingNote: Walking & Cycling numbers exclude trips taken for non-trips (e.g. walking dog, leisure walk through park)
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Reduction in mobility may result in a 10% to 13% decline in average miles travelled / year / person
Individuals will travel less post COVID-19 lockdown
-20% to -30%
Work
Change in Trips Regardless of Method
-5% to +5%
-15% to -5%
Continued work from driven by preference, company policy, and gov’t encouragement. In Lockdown c. 45%1
of people were working from home, assuming overall only half return (note: expect some to return but be in the office 50% of the time)
Small increase of people spending their leisure time in the country due to less foreign travel been allowed and recessionary conditions decreasing interest in spending on air travel
The method may change, but overall the same number of trips to education related facilities will remain the same
Education
Increase in consumers comfort and desire to shop and handle personal admin digitally, and desire to avoid crowded places, therefore result in an overall decrease. As reference Internet sales as a proportion of retail sales increased by 50% during lockdown compared to the preceding months in 20202
Shopping & Personal Admin
Leisure
-15% to -25%
6,500Miles / Person / Year
5,275 to 5,915
Miles / Person / Year
Results in a Decline of Average Miles Travelled / Person / Year
8% to 18% decline
1) YouGov, Who are the Britons working from home?, 7 April, 2020 https://yougov.co.uk/topics/politics/articles-reports/2020/04/07/who-are-britons-working-from-home2) ONS, Retail Sales Index time series, 22 May, 2020, https://www.ons.gov.uk/businessindustryandtrade/retailindustry/datasets/retailsales
Note: Excludes mini-cab and other modes as they are immaterial and not expected to change
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Driving and Rail & Bus usage will decline, while walking and cycling increases
Individuals will change their preferred method of travel post lockdown
• 200mi/year of driving replaced with biking or walking
• 75mi/year from bus/rail users switching to driving
• 50mi/year of bus/rail usage replaced with biking or walking
• 75mi/year of bus/rail usage replaced with driving
• No reduction in current cycling or walking from switching to other forms
• 200 miles / year from drivers switching
• 75 miles / year from bus/rail users switching
4,150
4,025
975
850
150
400
909 889161 158
1073 1032
2013 1954
0
2000
4000
Pre MethodChanges
Post Lockdown
Leisure
Shopping & PersonalAdminEducation
Work
348 31393 84
121 103
408 347
0
500
1000
Pre MethodChanges
Post Lockdown
Leisure
Shopping & PersonalAdminEducation
Work
27 8228 4138
9753
174
-00
200
400
Pre MethodChanges
Post Lockdown
Leisure
Shopping & PersonalAdmin
Education
Work
Driving – Change Based on Method Switching
Rail & Bus – Change Based on Method Switching
Walking & Cycling – Change Based on Method Switching
+170%
-13%
-3%
Average Miles Per Person Per Year Change by Type
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There is a material change in cycles hires early in the lockdown and an overall increase on weekends in lockdown from previous years, this trend remains when adjusting for seasonality
How has cycle usage changed during the lockdown?
1) TFL Cycle hires, https://data.london.gov.uk/dataset/number-bicycle-hires
Changes in Cycling Hires in Lockdown (pre-lockdown averages vs. post lockdown)
Weekday Cycle Hires
35%
54%Weekend
Cycle Hires
89%
Duration of Cycle Hire (Minutes)
5.000
10.000
15.000
20.000
25.000
30.000
35.000
40.000
6 Jan 20 Jan 3 Feb 17 Feb 2 Mar 16 Mar 30 Mar 13 Apr
Nu
mb
er
of
cycl
e h
ire
s
Comparison of cycle hires between weekdays and weekends1
Weekdays Weekends
Work From Home Announced (Mar 16)
Full Lockdown of all non-essential services (Mar 25)
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In the UK, on average, theft claims have reduced while damage claims have increased
How has the change in bike usage impacted claims?
1) Data from Metropolitan Police Department, representing 33 boroughs of Greater London, comparing February, March, & April 2020 to average for those months in the 3 preceding years, https://data.police.uk/2) UK Google Trends 5 June, 2020 - https://trends.google.com/trends/explore?geo=GB&q=Used%20Bike
Bicycle Theft’s Reported to Police1
-6%
-21%
-33%
Feb Mar AprReduction in bike theft claims since lockdown compared to the previous time period
Increase in damage claims for April and May compared to pre-lockdownBicycle Damage
Claims
14%
There is a clear increase in demand for Used Bikes. The graph shows an increase online in interest in used bikes, similar trends can be observed globally
www.laka.co.uk
Analysis and commentary completed in collaboration with Bike Insurer Laka
Bicycle Theft Claims
30%-50%
25
50
75
100
5 Jan 19 Jan 2 Feb 16 Feb 1 Mar 15 Mar 29 Mar 12 Apr 26 Apr 10 May 24 May
UK Search Trends for “Used Bike”3 in 2020
Work From Home Announced (Mar 16)
Full Lockdown of all non-essential services (Mar 25)
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The lock downs has resulted in a material decrease in thefts and most crime types impacting insurance. The figures below highlight the decrease in March and April in London compared to historical 3 year average for those months
Impact of COVID-19 on Personal Lines Household Insurance in the UK
Reports of Theft: Other Crimes:
Data from Metropolitan Police Department, representing 33 boroughs of Greater London, comparing February, March, & April 2020 to average for those months in the 3 preceding years where the data is available URL: https://data.police.uk/
Bicycle Theft Anti Social Behaviour
Burglary Criminal Damage & Arson
Other TheftRobbery
Shoplifting
Theft from Person
Drugs
-6%-21%
-33%
Feb Mar Apr
-6%-19%
-40%
Feb Mar Apr
+15%
-3%
-61%
Feb
Mar Apr
+12%
-22%
-83%
Feb
Mar Apr
+8%
-23%
-55%
Feb
Mar Apr
+2.6%
-24%
-60%
Feb
Mar Apr
+10%
+28%
Feb Mar Apr
-2%-11%
Feb Mar Apr
-29%
+31%+15%
Feb Mar Apr
+58%
N/A
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Prior to COVID-19, about 15% of the UK regularly worked from home. This was generally consistent across regions with Northern Ireland having the lowest at 9.4% and the South West with the highest at 18.3%. London was aligned with the average at 14.9%
Change in work from home behaviour is the most material factor impacting changes in mobility
Previous Normal2019
LockdownMarch 25 to May 10
Lockdown Easing
May 11 to Aug 31 (estimated)
New NormalSept 1 and beyond
(estimated)
15%1
40-50%2
30-40%3
20-30%3
Working from Home
Driving
70%
30%
10-20%
Bus & Rail
90%
65%
18-27%
Walking & Cycling
60%
30%
122-150%
1) Office for National Statistics, March 2020, https://www.gov.uk/government/statistics/coronavirus-and-home-working-in-the-uk-labour-market-20192) National Travel Survey 2018, NTS0303, https://www.gov.uk/government/ collections/national-travel-survey-statistics3) Deloitte Analysis and Forecasts
Longer term, there will continue to be an increase of working from resulting in reduced driving, and reduced home claims due to more time at home. Walking and Cycling levels will stay elevated, however new travel modes like e-scooters may replace some of those miles travelled (assuming they become legal)
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5. Insights from Poland
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Short term impact on insurers in Poland
• Lockdown caused significant drop in new life business sales
• Stock market performance triggered another wave of investment products lapses
• Blocked healthcare system brought demand for health products and raised interest in telemedicine
12 Customer retention and new
sources of business
3 New remote way of working
Remote sales and claims processes
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Respond (short term) Recover (mid term) Thrive (long term) Key opportunities
• Introduced remote workplace solutions, improved connectivity
• Launched remote sales processes (“quick and dirty” solutions)
• Control exposure in affected product lines – modify T&C & underwriting rules (life, travel, trade credit)
• Launched “corona care" products (e.g., telemedicine; diagnostic, hospital stay, medical assistance)
• Substitute lost new business with cross- and up-sell
• Launch anti-churn campaigns and manage shift from investment to pure protection products
• Implement remote sales and claims processes supported by workflow and CRM systems, with reduced physical contact with customer (video sales calls, remote authentication, underwriting, digital signature, remote damage assessment, telehealth)
• Customer shift to alternative channels - bancassurance, direct (web based and CC)
• Demand for health solution
• New commercial and retail products
• Digitalization of processes will enable their automation
• Shift to e-commerce – space for new insurance products
• Implement comprehensive health care / critical illness / life protection products; secure partnerships or investments into health-care providers
• Implement new commercial productsto reflect new operating models of customers (e.g. cybersecurity, business interruption)
• Change back-office processes to allow flexible work arrangements, AI/analytics to coordinate and control complex work (e.g., claims)
• Accelerate automation of processes, benefiting from their digitization
• Shift to cloud (e.g., actuarial tools)
1
2
3
1
2
3
1
2
3
4
5
1
2
3
4
54
We are entering „recovery” phase
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Insurersdigitalization
• Emerging competition• ROI expectations• Cost pressure • Poor data availability (pricing / uw)• Outdated technology• Regulatory, compliance & security challenges
INSURERS
• Sales & service experience shaped by other industries
• Expecting service not a product • „Reverse ROPO” behaviour• Amplification of experience• NPS (really) matters
CUSTOMERSINTERMEDIARIES
EMPLOYEES
• Cloud• Robotics & AI• Advanced analytics• Usage based economy• Next-gen & big data
EMERGING TRENDS
• Shift towards non-tied channels• Expectations towards quality & speed of service• Productivity issues • Aging demographics• Recruitment, onboarding & retention challenges
• War for talent• Culture of siloes• Change resistance
COVID accelerated digitalization trends
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6. Q&A
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7. Wrap up
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