• No results found

trends from within Germany and the

N/A
N/A
Protected

Academic year: 2021

Share "trends from within Germany and the"

Copied!
23
0
0

Loading.... (view fulltext now)

Full text

(1)

A comparison of affinity market

A comparison of affinity market

trends from within Germany and the

UK: benchmarking best practice

UK: benchmarking best practice

(2)

Agenda

Channel Comparisons

Partner Metrics

3-12

13 20

Page

Partner Metrics

Summary and conclusions

Any questions?

13-20

21-22

(3)
(4)

Definitions of generic affinity /

partner distribution channels

p

Financial partners: namely, banks, building societies, credit card issuers, credit co-operatives (Germany) and savings banks (Germany).

Not-for-profit affinity groups: namely, charities, educational institutions, professional associations and trade unions.

Non-financial commercial partners: including automotive associations, automotive dealers, automotive manufacturers, estate agents, loyalty schemes, media entities, the Post Office, retailers, travel agents / tour

t tiliti i operators, utilities companies.

Worksite:namely, employers.

The other generic distribution channels included in the Channel Metrics research (for which data is not shown in the following slides) are direct sales by insurance companies and financial intermediaries

shown in the following slides) are direct sales by insurance companies and financial intermediaries

(5)

Germany UK

Financial products investigated

Breakdown recovery insurance Car finance and leasing contracts

Credit cards Dental insurance Extended warranties (for cars)

F l i

Breakdown recovery insurance Car finance contracts

Cash ISAs Child Trust Funds

Credit cards Critical illness insurance Funeral expenses insurance

Hospital cash insurance HOUSEHOLD INSURANCE

Investment life insurance Legal expenses insurance

Long-term care insurance Mortgages

Critical illness insurance Dental insurance Extended warranties (for cars)

Extended warranties (for electronic appliances) Health / hospital cash plans

Home emergency insurance HOUSEHOLD INSURANCE Mortgages

MOTOR INSURANCE Payment protection insurance

Personal accident insurance Personal liability insurance Personal loans / consumer finance

PRIVATE HEALTH INSURANCE

Interest-bearing savings deposits Life insurance

Loan payment protection insurance Mobile telephone insurance Mortgage payment protection insurance

Mortgages MOTOR INSURANCE Private pension insurance

Protection life insurance Savings accounts

Savings bonds

Supplementary pension insurance TRAVEL INSURANCE Work incapacity insurance

MOTOR INSURANCE Personal / stakeholder pensions

Personal accident insurance Personal loans

Pet insurance

PRIVATE MEDICAL INSURANCE TRAVEL INSURANCE Work incapacity insurance TRAVEL INSURANCE

(6)

Distribution share of generic affinity / partner

distribution channels in motor insurance in

G

d th UK 2007/2008

Germany and the UK, 2007/2008

75%

% of switchers and new buyers using affinity / partner distribution channels, 2007 (UK) / 2008 (Germany)

60%

45%

Financial partners

Not-for-profit affinity groups

Non-financial commercial partners Worksite 45% 30%

22.0%

20.0%

15% 0%

Germany

UK

(7)

Distribution share of generic affinity /

partner distribution channels in household

i

i G

d th UK 2007/8

insurance in Germany and the UK, 2007/8

75%

% of switchers and new buyers using affinity / partner distribution channels, 2007 (UK) / 2008 (Germany)

60%

45%

Financial partners

Not-for-profit affinity groups

Non-financial commercial partners Worksite 45% 30%

28.0%

33.6%

15% 0%

Germany

UK

(8)

Distribution share of generic affinity /

partner distribution channels in travel

i

i G

d th UK 2007/8

insurance in Germany and the UK, 2007/8

75%

% of switchers and new buyers using affinity / partner distribution channels, 2007 (UK) / 2008 (Germany)

60%

45%

57.6%

Financial partners

Not-for-profit affinity groups

Non-financial commercial partners Worksite 45% 30%

37.0%

15% 0%

Germany

UK

(9)

Distribution share of generic affinity / partner

distribution channels in private medical

insurance in Germany and the UK 2007/8

insurance in Germany and the UK, 2007/8

75%

% of switchers and new buyers using affinity / partner distribution channels, 2007 (UK) / 2008 (Germany)

60%

45%

56.3%

Financial partners

Not-for-profit affinity groups

Non-financial commercial partners Worksite 45% 30%

31.1%

15% 0%

Germany

UK

(10)

Distribution share of the Internet

in personal non-life insurance in

Germany and the UK, 2007/8

75%

% of switchers and new buyers using the Internet as a distribution interface, 2007 (UK) / 2008 (Germany)

60% 45% UK 45% 30% Germany

Motor insurance Household insurance Travel insurance Private medical i

15%

0%

insurance

(11)

Distribution share of aggregators and

brokers in personal non-life insurance

i G

d th UK 2007

d 2008

in Germany and the UK, 2007 and 2008

75%

% of switchers and new buyers using aggregators or brokers, 2007 (UK) / 2008 (Germany)

60% 45% UK 45% 30% 15% 0%

Motor insurance Household insurance

(12)

for affinity and partnership marketing of motor

and household insurance in Germany and the UK

and household insurance in Germany and the UK

Other / undisclosed 100%

% of operating models for affinity and partnership marketing schemes

Captive broker Broker 80% 60% Multiple underwriters Single underwriter 60% 40% 20% 0% Germany UK

(13)
(14)

Organisations investigated in Germany, 2008/9

ADAC Air Berlin Aldi Amazon American Express Die Bahn DM Drogeriemarkt Douglas E.ON eBay Kaiser's Tengelmann Karstadt Kaufhof Lidl L'Tur REWE Rossmann RWE Ryanair Saturn American Express Apple Aral Audi AvD Bayern Munich eBay EDEKA E-Plus Esso Facebook Ford L Tur Lufthansa Media Markt Mercedes Benz MTV Neckermann Saturn Schlecker Shell Sony Steigenberger Hotels Stern Bild Zeitung BMW Borussia Dortmund Breuninger C&A Coop Formula 1 Frankfurter Allgemeine Google guenstiger.de H&M Hagebaumarkt O2 Opel OTTO PAYBACK Peek & Cloppenburg

Penny Tchibo Thomas Cook T-mobile Toom Toyota TUI Coop

DER CLUB Bertelsmann Deutsche Post Deutsche Telekom Deutscher Caritas Verband

Hagebaumarkt HappyDigits Hornbach Ihr Platz IKEA Penny Porsche Quelle Real Renault TUI Vodafone Volkswagen Welt Yahoo!

(15)

Organisations investigated in the UK, 2006/7

AA Age Concern Aldi Amazon American Express

Daily Mail / Sunday Mail Daily Telegraph / Debenhams E.ON Easygroup Lidl Littlewoods Manchester United F.C.

Marks & Spencer Morrison's Ryanair Saga Sainsbury's Shell Sky American Express AOL Argos ASDA Auto Trader B&Q Easygroup eBay English Heritage Esso Expedia

First Choice Holidays

Morrison s MyTravel National Trust / Nectar Netto Next Sky Somerfield

Sun / News of the World Superdrug Tesco Texaco BMW Body Shop bonmarché Boots Bounty BP Ford Google Halfords Homebase Honda IKEA npower O2 Orange Peugeot Post Office Powergen Thomas Cook Thomson Holidays Times / Sunday Times

Toyota Vauxhall Virgin BP British Gas BT Chelsea F.C. csma IKEA Jet John Lewis Kuoni Travel Kwik-Fit Powergen Primark QVC RAC Renault Virgin Vodafone Volkswagen Yahoo! Yell

(16)

Leading five partner organisations in terms of

frequency / strength of consumer relationships

Germany

UK

Google

Aldi

Tesco

Google

Deutsche Post

Lidl

eBay

g

Post Office

BT

Boots

eBay

Boots

(17)

Leading five partner organisations in

terms of total number of actual / viable

customers for motor insurance

Germany

UK

Germany

ADAC

Volkswagen

UK

Tesco

Post Office

Volkswagen

Aldi

Quelle

Post Office

Marks & Spencer

Sainsbury‘s

Source: Finaccord Partner Metrics reports

PAYBACK

AA

(18)

Leading five partner organisations in

terms of total number of actual / viable

t

f

h

h ld i

customers for household insurance

Germany

UK

Germany

ADAC

Aldi

UK

Tesco

Post Office

Aldi

Quelle

Tchibo

Post Office

Sainsbury‘s

Marks & Spencer

Amazon

ASDA

(19)

Leading five partner organisations in

terms of total number of actual / viable

customers for travel insurance

Germany

UK

Germany

ADAC

Lufthansa

UK

Post Office

Tesco

Lufthansa

Die Bahn

Neckermann

Tesco

Marks & Spencer

Thomas Cook

Source: Finaccord Partner Metrics reports

TUI

Boots

(20)

Leading five partner organisations in terms

of total number of actual / viable customers

for accident and health insurance

Germany

UK

Germany

ADAC

Quelle

UK

Post Office

Boots

Quelle

Aldi

OTTO

Boots

Tesco

Marks & Spencer

Source: Finaccord Partner Metrics reports

Deutsche Post

Sainsbury‘s

(21)
(22)

Summary and conclusions

Affinity and partnership marketing does exist in Germany but some of its

characteristics are different from the UK;

online distribution channels in Germany, including aggregators, are growing in

-importance but are still far less important than in the UK;

not all retailers will be able to have the same impact in affinity and partnership

marketing as in the UK;

-many major organisations in Ger-many (e.g. ALDI) have not yet realised their

potential as distribution partners for financial services;

since the position of insurance agents as the traditionally dominant distribution

h

l i

i

d

l d

li

t

iti

ill b

il bl

f

ffi it

-channel is in gradual decline, more opportunities will become available for affinity

and partnership schemes in Germany in future.

(23)

References

Related documents

Los resultados evidenciaron que, en cuanto a la autoeficacia para evitar conductas de riesgo el género masculino tuvo una autoeficacia promedio bajo de 43,6 %, mientras que el

In the radon reference chamber of PTB, radon and its progenies are measured with di€erent systems for a - and g -spectrometry, with the full set of environmental parameters, such

In this paper, we first provide an overview of the ARCOMEM offline processing chain that supports the extraction of semantic information from web archives and then present the

To demonstrate the applicability of our research, we also presented an innovative approach of effort estimation using functional size measurement that takes into account the

17 The results of the homoscedastic tobit models can be found in table 8 (appendix).. The results of the heteroscedastic tobit regressions are shown in tables 3 and 4. Our main

Sarah Potvin chairs the Texas Digital Library (TDL) ETD Metada- ta Working Group, formed in 2014, with the charge of providing “guidance to TDL member institutions and other

(Note, there are mobile views of Gradebook for parents/guardians and students; however, parents/guardians need to go to the Gradebook full site to create a Gradebook account.)

Effective management of industrial enterprise should be based on contemporary management technologies in the field of energy efficiency and energy conservation, such as