Global Consumer

Mintel Consumer Research Methodology

Mintel uses an online research approach to interview consumers covering age groups varying in range from 18+ or 16+ (will vary by market).  Respondents are interviewed in regions and/or metro cities to represent the population distribution across each market for reporting.

Mintel applies a quota-sampling approach with quotas on age, gender and broad region or metro city.  Our sample data is not nationally representative within each market.  Instead it can be considered to be representative of the online population in some markets and an urban online population in others, providing a proxy of each market’s behaviours and attitudes.  Our online, quota sampling approach provides comparable, statistically robust data and allows analysis of key demographic and geographic groups by market. 

Our research partners

Kantar Profiles

Kantar Profiles is our research partner for our US, Brazil, Canada and European markets (excluding Northern Ireland and the Republic of Ireland). Kantar Profiles’ double opt-in online consumer panels deliver uniquely identified online respondents via extensive use of fraud detection and location-verification technology at multiple points in the research cycle, from initial registration through survey fielding and incentive redemption. Kantar Profiles' panelists are profiled on a wide variety of attributes to deliver the specific hard-to-reach demographics.

 

Rakuten Insight

Mintel partners with Rakuten Insight to complete online research in Japan, Hong Kong SAR of the PR of China, Malaysia, Philippines, Singapore and Vietnam.  Established in 1997, it’s since grown into a pioneer of Asian online sample providers, recruiting respondents from their member database and networks, serving both domestic Asian and international clients.  

 

Dynata

Mintel partners with Dynata (formerly Research Now SSI) to complete online research in Ireland (Republic of Ireland and Northern Ireland), India, Australia, Indonesia, the Republic of Korea, Thailand and New Zealand.  As a leading provider of first party data, Dynata serves nearly 6,000 market research agencies, media and advertising agencies, consulting and investment firms, and healthcare and corporate customers in North America, South America, Europe, and Asia-Pacific.

 

KuRunData

For our China (mainland) research, Mintel partners with KuRunData which which has been part of the ITWP Group since 2017.  Founded in 2006 and headquartered in Shanghai, with branches in both Beijing and Guangzhou, KuRunData’s online panel consists of 5,300,000 respondents (as of Dec 2018).  It owns the interactive panel website: www.1diaocha.com and www.votebar.com, in addition to a WeChat survey app.  KuRunData is a member of both the China Market Research Association (CMRA) and ESOMAR.

 

Offerwise

Mintel partners with Offerwise to complete online research in Chile, Colombia, Mexico, and Peru.  As Internet penetration continues to boom throughout Latin America, Offerwise has positioned itself as an early leader of online panel providers and has one of the region’s largest online access panels in the industry. Currently, they offer one of the largest panels in Mexico, and Colombia along with fast growing panels in Chile, Peru, and Argentina.

Sample sizes by demographics and geographies

Mintel applies a quota-sampling approach with broad quotas on age, gender and region in all markets at minimum. Below outlines the broad quotas employed per market. Where the proportions are in line with internet representative or regionally representative statistics, these are revised on an annual basis.

Quotas: Asia Pacific

Australia, Thailand, Indonesia, Republic of Korea, Hong Kong, Malaysia, New Zealand, Philippines, Singapore, Vietnam

 

The quotas on age and gender are selected in a consistent way per market to allow ease of comparison and analysis across a variety of key target groups.

 

Age by gender

 

%

N

Females 18-24

12.5

125

Females 25-34

12.5

125

Females 35-44

12.5

125

Females 45+

12.5

125

Males 18-24

12.5

125

Males 25-34

12.5

125

: : :
: : :

 

Region

Region/City

%

N

       

Australia

New South Wales

32

320

 

Victoria

26

260

 

Queensland

20

200

 

South Australia

7

70

 

West Australia

10

100

 

Others

5

50

: : : :
: : : :

China (mainland)

  

Gender & Age per city

City

Males aged 18-29

Males aged 30-39

Males aged 40-49+

Females aged 18-29

Females aged 30-39

Females aged 40-49+

Total

Beijing

17

17

16

17

17

16

100

Shanghai

17

17

16

17

17

16

100

Guangzhou

17

17

16

17

17

16

100

Chengdu

17

17

16

17

17

16

100

Yantai

17

17

16

17

17

16

100

Changchun

17

17

16

17

17

16

100

: : : : : : : :
: : : : : : : :

 

 

 

Monthly household income (RMB) by city

Tier 1 city

6,000-9,999

10,000-17,999

18K+

Total

Beijing

33

34

33

100

Shanghai

33

34

33

100

Guangzhou

33

34

33

100

Chengdu

33

34

33

100

Tier 2, 3 or lower city

5,000-8,999

9,000-15,999

16K+

Total

Yantai

33

34

33

100

: : : : :
: : : : :

 

 

Japan

Gender by Age 

 

%

N

Male

18-24

5%

50

 

25-29

5%

50

 

30-39

10%

100

 

40-49

10%

100

 

50-59

10%

100

 

60-64

5%

50

 

65+

5%

50

: : : :
: : : :

 

Region 

Region

%

N

District Included

1

11.0

110

Hokkaido, Tohoku

2

34.4

344

Kanto

3

18.2

182

Hokuriku, Chubu

4

16.3

163

Kinki

5

8.8

88

Chugoku, Shikoku

6

11.3

113

Kyushu, Okinawa

Total

100

1000

 

 

India

 

Gender by age per region

Region

 

Males

 

Females

 

Total

 

 

N

%

N

%

N

North

18-24

37

3.7

37

3.7

74

 

25-34

43

4.3

43

4.3

86

 

35-44

28

2.8

28

2.8

56

 

45+

17

1.7

17

1.7

34

 

Total

125

12.5

125

12.5

250

: : : : : : :
: : : : : : :

 

 

Region & city tier

North

 

%

N

Delhi

Metro

10

100

Lucknow

Tier 1

5

50

Jalandhar

Tier 2

5

50

Nainita/Ambala

Tier 3

5

50

 

North total

 

25

250

 

 

 

 

: : : :
: : : :

 

 

Quotas: Europe, Middle East and Africa

Great Britain

Age and gender: 

 

 

%

N (1000)

     

16-24 males

7.2

72

16-24 females

7.0

70

25-34 males

8.9

89

25-34 females

8.9

89

35-44 males

8.3

83

35-44 females

8.4

84

: : :
: : :

Region

 

 

GREAT BRITAIN

%

N (1,000)

Scotland

8.6

86

North East

4.2

42

North West

11.3

113

Yorkshire & Humberside

8.5

85

East Midlands

7.5

75

West Midlands

9.0

90

: : :
: : :

 

 

 

SEG

%

N

(1,000)

AB

26

260

C1

29

290

C2

21

210

DE

24

240

Total

100

1,000

 

 

Ireland

 

NORTHERN IRELAND

REPUBLIC OF IRELAND

 

%

N (325)

%

N(675)

 

 

 

 

 

16-24 males

7.9

26

8.1

55

16-24 females

7.4

24

7.9

53

25-34 males

9.3

30

8.9

60

25-34 females

9.4

21

9.1

62

35-44 males

8.8

28

11.0

74

: : : : :
: : : : :

 

 

 

NORTHERN IRELAND

REPUBLIC OF IRELAND

Social Grade (SEG)

%

N (325)

%

N(675)

 

 

 

 

 

ABC1

55

179

57

385

C2DEF

45

146

43

290

TOTAL

100

325

100

675

 

Region

 

REPUBLIC OF IRELAND

IRELAND

%

N (675)

City of Dublin

28.9

196

Munster

24.3

164

Leinster (excluding city of Dublin)

29.1

196

Connacht

9.5

64

Ulster (excluding Northern Ireland counties)

8.2

55

TOTAL

100

675

: : :

  

France, Germany, Italy, Spain, Poland

 

 

FRANCE

 

GERMANY

 

ITALY

 

SPAIN

 

POLAND

 
 

%

N (1000)

%

N (1000)

%

N (1000)

%

N (1000)

%

N (1000)

                     
                     

16-24 males

7.2

72

6.2

62

6.7

67

5.9

59

7.0

70

16-24 females

7.2

72

5.8

58

6.2

62

5.8

58

6.7

67

25-34 males

7.9

79

8.3

83

7.8

78

7.4

74

10.7

107

25-34 females

7.8

78

7.8

78

7.5

75

7.1

71

10.3

103

: : : : : : : : : : :
: : : : : : : : : : :

 

Region

   

FRANCE

%

N (1,000)

Île de France

18.7

187

Centre-Val de Loire/Bourgogne-Franche-Comté

8.2

82

Normandie/Hauts-de-France

14.1

141

Grand Est

8.6

86

Pays de la Loire/Bretagne

11.0

110

Nouvelle-Aquitaine/Occitanie

18.6

186

: : :
: : :

  Starting with Wave 2

Net monthly household income - soft quota

Germany

France

Spain

Italy

Poland

 

min

max

min

max

min

max

min

max

min

max

Less than 1,500 €

301

364

249

333

395

485

325

419

-

-

1,500 - 2,999 €

329

397

288

385

303

372

317

409

-

-

3,000 € or more

198

239

211

282

116

143

134

172

-

-

Less than 3,000 zł

-

-

-

-

-

-

-

-

344

415

3,000 - 4,999 zł

-

-

-

-

-

-

-

-

274

331

5,000 zł or more

-

-

-

-

-

-

-

-

211

254

: : : : : : : : : : :

 

Denmark, Netherlands, Finland, Sweden, Norway

 

 

DENMARK

NETHERLANDS

FINLAND

SWEDEN

NORWAY

 

%

N (1000)

%

N (1000)

%

N (1000)

%

N (1000)

%

N (1000)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

16-24 males

7.1

71

7.0

70

6.4

64

6.6

66

7.3

73

16-24 females

6.8

68

6.8

68

6.2

62

6.0

60

6.9

69

25-34 males

8.2

82

7.9

79

8.2

82

9.2

92

9.0

90

25-34 females

7.9

79

7.7

77

7.8

78

8.8

88

8.7

87

: : : : : : : : : : :
: : : : : : : : : : :

 

Region

 

 

DENMARK

%

N (1,000)

 

 

 

Hovedstaden

31.7

317

Sjælland

14.3

143

Syddanmark

21.0

210

Midtjylland

22.9

229

Nordjylland

10.1

101

: : :
: : :

 

Nigeria & South Africa

 

 

NIGERIA

SOUTH AFRICA

 

%

N (1,000)

%

N (1,000)

Male, 18-24

12.5

125

12.5

125

Male, 25-34

12.5

125

12.5

125

Male, 35-44

12.5

125

12.5

125

Male, 45+

12.5

125

12.5

125

Female, 18-24

12.5

125

12.5

125

Female, 25-34

12.5

125

12.5

125

: : : : :
: : : : :

NIGERIA

%

N (1,000)

 

 

 

North (Central, East, West)

54.0

540

South East

11.3

113

South South

14.9

149

Lagos & South West

19.8

198

TOTAL

100

1000

 

 

 

: : :
: : :

 

Saudi Arabia

 

Age and gender

%

N (1,000)

Male, 18-24

12.5

125

Male, 25-34

12.5

125

Male, 35-44

12.5

125

Male, 45+

12.5

125

Female, 18-24

12.5

125

Female, 25-34

12.5

125

Female, 35-44

12.5

125

: : :
: : :

 

Region

%

N (1,000)

 

 

 

Najid Region (Al-Riyadh, Al-Qaseem and Ha’il)

31.8

318

Hijaz Region (Al-Baha, Al-Madinah Al-Monawarah, Makkah Al-Mokarramah and Tabouk)

37.2

372

Other (Al-Jouf, Aseer, Eastern Region, Jazan, Najran and Northern Borders)

31.0

310

TOTAL

100

1000

 

NATIONALITY

%

N (1,000)

 

 

 

Saudi National

57.4

574

Non-Saudi National

42.6

426

TOTAL

100

1000

 

Quotas: Americas

US

Quotas in the Americas are representative of the online population in each market. 

Age by gender

N=1,000

IPop %

Male, 18-24

59

5.89%

Male, 25-34

91

9.08%

Male, 35-44

84

8.45%

Male, 45-54

82

8.25%

Male, 55-64

81

8.07%

Male, 65-74

55

5.47%

Male, 75+

29

2.86%

: : :
: : :

Race

N=1,000

IPop %

White

699

69.89%

Black

150

15.00%

Asian

61

6.06%

Other race

90

9.05%

Total (all internet users aged 18+)

1,000

100%

     

Ethnicity

N=1,000

IPop %

: : :
: : :

 

Region

N=1,000

IPop %

Northeast

175

17.44%

Midwest

207

20.73%

South

380

38.01%

West

238

23.81%

Total (all internet users aged 18+)

1,000

100%

 

Household income

N=1,000

IPop %

Less than $25,000

107

10.68%

$25,000 - $49,999

161

16.11%

$50,000 - $74,999

153

15.34%

$75,000 - $99,999

129

12.88%

$100,000 plus

450

44.99%

Total (all internet users aged 18+)

1,000

100%

Canada 

Age by gender

N=1,000

Canada I-pop %

Male, 18-24

68

6.90%

Male, 25-34

76

7.60%

Male, 35-44

96

9.6%

Male, 45-54

65

6.5%

Male, 55-64

81

8.10%

Male, 65+

103

10.30%

Female, 18-24

59

5.90%

: : :
: : :

 

Province

N=1,000

Canada I-pop %

Ontario

368

36.90%

Quebec

246

24.60%

British Columbia

136

13.60%

Alberta

121

12.10%

Saskatchewan

32

3.20%

Manitoba

32

3.20%

Atlantic Provinces (New Brunswick, Newfoundland/ Labrador, Nova Scotia, Prince Edward Island)

65

6.50%

: : :

 

Household income

N=1,000

Canada I-pop %

Less than $25,000

140

14.00%

$25,000 - $49,999

208

20.80%

$50,000 - $69,999

150

15.00%

$70,000 - $99,999

178

17.80%

$100,000 and over

324

32.40%

Total (all Canadian internet users aged 18+)

1000

100%

Brazil

 

Age by gender

N=1,000

Brazil pop %

Male, 16-24

90

8.96%

Male, 25-34

112

11.16%

Male, 35-44

111

11.11%

Male, 45-54

72

7.20%

Male, 55+

70

7.00%

Female, 16-24

103

10.35%

Female, 25-34

139

13.89%

: : :
: : :

SEG

N=1,000

Brazil pop %

A

25

2.50%

B1

49

4.90%

B2

164

16.40%

C1

211

21.10%

C2

264

26.40%

DE

287

28.70%

Region

N=1,000

Brazil pop %

North

75

7.46%

Northeast

232

23.23%

Central West

88

8.82%

Southeast

435

43.46%

South

170

17.04%

Total (all Brazilian internet users aged 16+)

1000

100.00%

Mexico, Chile, Colombia and Peru

 

Age by gender

 

Mexico

Chile

Colombia

Peru

 

N=1000

iPop %

N=1000

iPop %

N=1000

iPop %

N=1000

iPop %

Male, 18-24

108

10.77%

126

12.60%

126

12.62%

149

14.90%

Male, 25-34

124

12.37%

118

11.80%

147

14.72%

153

15.30%

Male, 35-44

80

8.01%

101

10.10%

111

11.06%

91

9.10%

Male, 45-54

92

9.17%

84

8.40%

56

5.59%

45

4.50%

Male, 55+

73

7.28%

77

7.70%

43

4.33%

65

6.50%

: : : : : : : : :
: : : : : : : : :

 

Mexico

Region (based on Electoral circumscriptions)

N=1000

iPop %

 

Circunscripción 1

230

22.94%

 

Circunscripción 2

198

19.83%

 

Circunscripción 3

166

16.62%

 

Circunscripción 4

192

19.19%

 

Circunscripción 5

214

21.42%

       

Chile

Region

N=1000

iPop %

: : : :
: : : :