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Ed Keller, Keller Fay Group (USA) Lynne Robinson, IPA (UK) ESOMAR WM3 2010

Integrating Word of Mouth into Consumer-Centric Measurement

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Page 1: Integrating Word of Mouth into Consumer-Centric Measurement

Ed Keller, Keller Fay Group (USA)Lynne Robinson, IPA (UK)

ESOMAR WM3 2010

Page 2: Integrating Word of Mouth into Consumer-Centric Measurement

1. The power of WOM

2. Integrating WOM into the IPA TouchPoints3 Hub Survey

3. The results

4. The future

Page 3: Integrating Word of Mouth into Consumer-Centric Measurement

According to McKinsey (April 2010):

◦ “The rewards of pursuing excellence in word-of mouth are huge, and it can deliver a significant competitive edge few other marketing approaches can match”

◦ “It’s the most disruptive factor in marketing”

◦ “Marketing-induced consumer-to-consumer word of mouth generates more than twice the sales of paid advertising”

When McKinsey weighs in, you know you’re talking about a topic that has C-Suite attention

Page 4: Integrating Word of Mouth into Consumer-Centric Measurement
Page 5: Integrating Word of Mouth into Consumer-Centric Measurement

What percent of WOM happens on social media, blogs, chat rooms?

Offline, 91%

Online, 7%

US = 7%Britain = 7%Australia = 7%

US = 91%Britain = 92%Australia = 91%

Source: TalkTrack®: US, July 2009 – June 2010; Australia, April 2010, Britain, May 2010

Page 6: Integrating Word of Mouth into Consumer-Centric Measurement

All forms of WOM◦ Offline; online

All points of view◦ What “talkers” are saying; what “listeners” hear and then do

All people◦ Nationally representative samples (via online interview)

All dimensions◦ Quantity, quality, and drivers of WOM (including advertising)

All brands across categories

Continuous tracking by Keller Fay in the US since 2006

◦ First British study in May, 2010; Australia in April, 2010

Page 7: Integrating Word of Mouth into Consumer-Centric Measurement

Online survey among consumers 16 to 69

◦ Participants re-contacted a day later to answer questions about brands talked about during past 24 hours

◦ 2,578 interviews

◦ May 14–31, 2010

Diary-assisted reporting of a day’s conversations

◦ Respondents first recruited to take notes on conversations in 15 categories over 24 hours

◦ Brand/company names collected on open-ended basis

◦ Covers all forms of WOM: Offline + online

Page 8: Integrating Word of Mouth into Consumer-Centric Measurement

Britain’s WOM Conversation:

5 Key Insights Into Word of Mouth Behaviour

Page 9: Integrating Word of Mouth into Consumer-Centric Measurement

Average Number of Weekly Branded Conversations Per Person

Base: Respondents (Total Public, n=2,578; Men, n=1,284; Women, n=1,294)Source: TalkTrack® Britain (May 14th – 31st 2010)

7066

74

Total Public Men Women

In the U.S., the total

public engages in 65

weekly branded

conversations, on

average.

Page 10: Integrating Word of Mouth into Consumer-Centric Measurement

% of people having conversations by category in past day

18%29%

30%

33%

36%41%

43%

45%

47%

48%

48%

50%

57%

63%64%

Children's Products

Personal Care & Beauty

Household Products

The Home

Automotive

Health & Healthcare

Financial Services

Travel Services

Telecommunications

Shopping, Retail, & Apparel

Technology

Sports, Recreation, & Hobbies

Beverages

Media & Entertainment

Food & Dining

Compared to U.S.

consumers, British

consumers more

conversations in most

categories, especially Travel

(+24

points), Shopping/Retail

(+12), Financial Services

(+10), & Technology

(+10).

Base: Respondents (Total Public, n=2,578)Source: TalkTrack® Britain (May 14th – 31st 2010)

Page 11: Integrating Word of Mouth into Consumer-Centric Measurement

81% of marketing-related conversations

take place in-person

The remainder are:1. Phone (11%)

2. Email (3%)

3. Instant or text message (2%)

4. Online chat room, blog, SNS (1%)

5. Other (1%)

Source: TalkTrack®, Britain (May 14th – 31st, 2010)

Page 12: Integrating Word of Mouth into Consumer-Centric Measurement

62% of brand references in word of

mouth conversations are “mostly positive”

… Seven times the rate of “mostly negative” references (9%)

Implication: Don’t be afraid to engage in the conversation!

Source: TalkTrack®, Britain (May 14th – 31st, 2010)

Page 13: Integrating Word of Mouth into Consumer-Centric Measurement

Half of consumer brand conversations

refer to marketing or media

…led by: Internet (15%)

television (13%)

newspapers (5%)

magazines (4%)

direct mail/email (4%)

Marketing and media are tools for encouraging WOM!

Page 14: Integrating Word of Mouth into Consumer-Centric Measurement

% of WOM With or Without a Media/Marketing Reference Containing a Recommendation to “Buy/Try” a Brand or Product

31%

39%

No

Media/Marketing

Cited in WOM

Media/Marketing

Cited in WOM

This is similar to what is seen

among U.S. consumers, with

brand conversations that

reference some form of media

or marketing being more likely

to contain a positive

recommendation (44%)

compared to those that do not

contain a reference (39%).

Base: Brand mentions where someone else provided advice (Media/Marketing Cited in WOM, n=4,008; No Media/Marketing Cited in WOM, n=4,638) Source: TalkTrack® Great Britain (May 14th – 31st 2010)

Page 15: Integrating Word of Mouth into Consumer-Centric Measurement

8% of population, influencers engage in 2x as

much WOM as others

◦ Influencer WOM is 3.8x as valuable

Influencers are “everyday people”

but are distinguished by:

◦ Larger than average social networks

◦ Keep with what’s new

◦ Are sought out for their advice

Page 16: Integrating Word of Mouth into Consumer-Centric Measurement

Number of weekly brand mentions per person

Base: Respondents (Total Public, n=2,578; Conversation Catalysts™, n=213)Source: TalkTrack® Britain (May 14th – 31st 2010)

70

143

Total Public Conversation Catalysts™

Total Public Conversation Catalysts

+104%

Influencers Talk About Twice as Many Brands Per Week

Page 17: Integrating Word of Mouth into Consumer-Centric Measurement

% of Category Conversation Catalysts™ among the total public

Category Conversation Catalysts™ Total Public

Technology Catalyst™ 9%

Media & Entertainment Catalyst™ 8

Food & Dining Catalyst™ 8

Retail Catalyst™ 7

Sports, Recreation & Hobbies Catalyst™ 7

Financial Catalyst™ 6

Personal Care & Beauty Catalyst™ 5

Beverages Catalyst™ 5

Health Catalyst™ 5

Travel Catalyst™ 5

The Home Catalyst™ 4

Telecom Catalyst™ 4

Household Products Catalyst ™ 4

Automotive Catalyst™ 3

Children’s Products Catalyst™ 3

Base: Respondents (Total Public, n=2,578)Source: TalkTrack® Britain (May 14th – 31st 2010)

Page 18: Integrating Word of Mouth into Consumer-Centric Measurement
Page 19: Integrating Word of Mouth into Consumer-Centric Measurement

Deliver an ongoing understanding of how traditional, evolving and emerging communication media fit into people’s daily lives

Provide a complete cross media planning system which helps communications specialists understand individual and combined channel contributions to a plan

A collaborative, continuous and evolving approach to consumer research

A framework for bespoke data fusions

Page 20: Integrating Word of Mouth into Consumer-Centric Measurement

Bought

OwnedEarned

The virtuous circle

Page 21: Integrating Word of Mouth into Consumer-Centric Measurement

c6,000 sample of adults in GB

Undertaken by IPSOS using NRS

re-contact and panels

Telephone recruitment, postal delivery and return

£20 incentive (£25 in London)

TP3 fieldwork Sep’09-Mar’10

Self-Completion Questionnaire e.Diary

Page 22: Integrating Word of Mouth into Consumer-Centric Measurement

VO1a Which of these product categories do you follow closely for new products, new styles, new brands and/or companies, etc.?

VO1b And for which of these product categories do you frequently give advice, suggestions and ideas to other people, such as your friends and family?

Please cross (x) all that applyVO1a

Follow closely

VO1b

Give advice/

suggestions on

VO1a

Follow closely

VO1b

Give advice/

suggestions on

Food and dining Home decoration/DIY

Sport and hobbies Cars

Entertainment and media Financial services

Holidays and travel Shops and shopping centres

Mobile phones Children's products

Computers/computer software Everyday household products

TV, DVD and audio equipment Gardening

Clothes and accessories Jobs and careers

Beauty/grooming products The environment

Health products Public affairs/politics

Home appliances (e.g. washing machines,

microwaves etc) None of the above

VO2 For each of the following, please tell me about how many people there are in your life who you communicate with fairly often...

Please cross (x) one box in each row

0 1 2 3 4 5 - 9 10+

Relatives and family members who live outside your household

Very close friends, not counting family members

Neighbours and acquaintances, not including close friends or family

VO3 And about how many clubs, social or professional organisations, or community groups do you personally belong to?

Please cross (x) one box only

0 1 2 3 4 5-9 10+

Page 23: Integrating Word of Mouth into Consumer-Centric Measurement

76%

64%

28%

9%

0

10

20

30

40

50

60

70

80

90

100

Any advice givers Give advice on 21

specific categories

Category Catalysts Conversation Catalysts

All Adults 100%

Page 24: Integrating Word of Mouth into Consumer-Centric Measurement

Working/studying, 19%

Traveling or commuting 7%

Housework 8%

Childcare , 3%

Washing or dressing, 4%

Preparing food or cooking, 5%

Eating or drinking, 11%Sports or exercise, 2%

Shopping, 3%

Community organizations or clubs, 0%

Relaxing, 23%

Nothing in particular 6%

Socialising, 8%Other, 0%

Communicating60%

Listening tothe radio 10%

Watching TV19%

Newspapers /magazines 2%

Internet 9%

Alone 24%

Partner or spouse 25%

Parent 4%

Children12%

Brothers/sisters or

other family 6%

Colleagues11%

Friends 9%

Other people you know

5%

Other people you dont know

3%

At Home58%

At Work 17%

Somewhere elseindoors

8%

School2%

Travelling8%

Somewhere else

outdoors, 5%

Product 1

Product 2

Product 3

Product 4

Product 5

Product 6

Product 7

Category

Catalysts

Demographics

Product use

Who with

Location

Media

LifeActivities

Source:IPA TouchPoints3

A 360 degree view of Category Catalysts

Page 25: Integrating Word of Mouth into Consumer-Centric Measurement

All Adults (Hrs)All Conversation

Catalysts (Index)

All Category Catalysts (Index)

Television 3.74 96 96

Radio 2.11 98 102

Internet 1.83 110 105

Newspapers 0.55 93 98

Magazines 0.25 92 100

Out-of-Home 2.29 107 103

Source: IPA TouchPoints3

Page 26: Integrating Word of Mouth into Consumer-Centric Measurement

Advertising leads me to search for

product/service online:

Conversation

Catalysts

(Index)

Category

Catalysts

(Index)

Television Ads 109 106

National Newspapers Ads 159 131

Regional Newspapers Ads 135 131

Magazines Ads 141 129

Radio Ads 162 123

Cinema Ads 161 129

Source: IPA TouchPoints3

Page 27: Integrating Word of Mouth into Consumer-Centric Measurement

0 20 40 60 80 100 120 140 160 180 200 220 240 260

DE

C2

C1

AD

65+

55-64

45-54

35-44

25-34

15-24

Female

Male

Source: IPA TouchPoints3

All Category Catalysts Mobile Phones Category Catalysts Gardening Category Catalysts

Page 28: Integrating Word of Mouth into Consumer-Centric Measurement

Source: IPA TouchPoints3

Active Columns Active Row s

Any Category Conversation Catalyst

Food and DiningSport and Hobbies

Entertainment and Media

Holidays and Travel

Mobile Phones

Computers/Computer Softw are

TV, DVD and Audio Equipment

Clothes and Accessories

Beauty/Grooming Products

Health Products

Home Appliances

Home Decoration/DIY

Cars

Financial Services

Shops and Shopping Centres

Children's Products

Everyday Household Products

Gardening

Jobs and Careers

The EnvironmentPublic Affairs/Politics

High Broadcast TV

High Commercial TV

High Radio

High Commercial Radio

High TV/Radio

High Commercial TV/Radio

High Internet

High New spapers/Magazines Reading

High Mobile Phone

High Media OOH Out Of Home

High Work/Study Working/Studying

High Housew ork

High HH Admin Household

High Washing/Dressing

High Cooking Preparing Food/Cooking High Eating/Drinking

High Sport/Exercise Sports/Exercise

High Hobbies Hobbies/Pastimes

High Shopping

High Socialising

High Childcare

High Relaxation RelaxingHigh Doing Nothing In Particular

High At Home

High At Work

High At School School/College

High Travel Travelling

High Out Of Home

High Outdoor

High Alone On My Ow n

High Mood Score

High Mind State

Telmar Correspondence

Page 29: Integrating Word of Mouth into Consumer-Centric Measurement

Type of category catalyst Most efficient national newspaper

TV, DVD, & Audio Equipment

Clothes & Accessories

Health Products

Gardening

Page 30: Integrating Word of Mouth into Consumer-Centric Measurement

WOM and Online Communication

Page 31: Integrating Word of Mouth into Consumer-Centric Measurement

Doing on a weekly basis:

All Conversation

Catalysts

v. All Adults

All Category

Catalysts

v. All Adults

Contributing to a collaborative website 383 165

Typing own weblog / blog 178 136

Downloading / sending photos 179 134

Contributing to someone else's weblog 193 128

Giving advice 193 128

Uploading photos for sharing 150 120

Socialising/ keeping in contract with friends / making friends 115 115

Reading other peoples' blogs 145 114

Making a short video upload 319 114

Contributing to an online chat room / discussion 163 109

Instant messaging 126 108

Source: IPA TouchPoints3

Page 32: Integrating Word of Mouth into Consumer-Centric Measurement

0 50 100 150 200 250 300 350 400

The Environment

Sports & Hobbies

Shops & Shopping Centres

Public Affairs & Politics

Mobile Phones

Jobs & Careers

Home Decoration & DIY

Home Appliances

Holiday & Travel

Health Products

Gardening

Food & Dining

Financial Catalysts

Everyday Household Products

Entertainment & Media

DVD & Audio Equipment

Computer & Software

Clothes & Accessories

Children's Products

Cars

Beauty & Grooming

All

Twitter Social Networking Weekly Blogging Sites

Page 33: Integrating Word of Mouth into Consumer-Centric Measurement

It’s also about understanding the context of communication and the perspective of the channels used

Page 34: Integrating Word of Mouth into Consumer-Centric Measurement

New WOM questions creating great deal of interest for use

Providing fresh context and perspective for WOM and Social Media

Working with subscribers to determine how WOM can be included in the TouchPoints Channel Planner

Establishing a WOM currency in the UK…..

Page 35: Integrating Word of Mouth into Consumer-Centric Measurement

New WOM questions creating great deal of interest for use

Providing fresh context and perspective for WOM and Social Media

Working with subscribers to determine how WOM can be included in the TouchPoints Channel Planner

Establishing a WOM currency in the UK…..

Page 36: Integrating Word of Mouth into Consumer-Centric Measurement

Lynne [email protected]

Ed [email protected]

Thank You!