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

Lightspeed

Lightspeed is our research partner for our US, Brazil, Canada and European markets (excluding Northern Ireland and the Republic of Ireland). Lightspeed’s 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. Lightspeed’s 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 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.

Toluna

For our Irish (Republic of Ireland and Northern Ireland) research, Mintel partners with Toluna which is part of the ITWP Group. Founded in 2000 and headquartered in Paris and has over 24 offices globally spanning Europe, North America, South America, Asia Pacific, and MENA. It has over 24 million highly engaged influencers —the world’s largest—who are highly engaged and ready to respond at a moment’s notice. Toluna is ESOMAR and ISO 27001 accredited.

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.

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
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Region/City
Australia	%	N
New South Wales	32	320
Victoria	26	260
Queensland	20	200
South Australia	7	70
West Australia	10	100
Others	5	50
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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
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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
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Age	Male		Female		Total
	%	N	%	N	%	N
18-24	4.3	43	3.8	38	8	81
25-34	6.7	67	6	60	12.7	127
35-44	8.7	87	7.9	79	16.6	166
45-54	8.4	84	7.7	77	16	161
55-64	7.5	75	7.1	71	14.6	146
65+	14.4	144	17.5	175	32.1	319
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		%	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
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Region	%	N	District Included
1	11.2	112	Hokkaido, Hokkaido, Tohoku, Tohoku
2	36.4	364	Kanto, Kanto,
3	16.0	160	Chubu, Hokuriku and Tokai,
4	16.3	163	Kinki (Kansai), Kinki,
5	8.8	88	Chugoku, Chugoku, Shikoku, Shikoku
6	11.3	113	Kyushu, Kyushu, Ryukyu, Okinawa
Total	100	1000

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
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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

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	GREAT BRITAIN
	%	N (1000)


16-24 males	7.5	75
16-24 females	7.2	72
25-34 males	9.2	92
25-34 females	9.1	91
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Region
GREAT BRITAIN	%	N (1,000)
Scotland	8.5	85
North East	4.1	41
North West	11.3	113
Yorkshire & Humberside	8.5	85
East Midlands	7.4	74
West Midlands	9.1	91
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Region/City
Australia	%	N
New South Wales	32	320
Victoria	26	260
Queensland	20	200
South Australia	7	70
West Australia	10	100
Others	5	50
	100	1000
Indonesia
Jakarta	34	340
Bandung	21	210
Surabaya	21	210
Yogyakarta	12	120
Medan	12	120
	100	1000
Republic of Korea
Seoul	19	190
Gyeonggi (including Incheon but excluding Seoul)	31	310
Gyeongsang (including Busan, Daegu & Ulsan)	25	250
Chungcheong (including Daejeon & Sejong)	11	110
Jeolla (including Jeju & Gwangju)	11	110
Gangwon	3	30
	100	1000
Thailand
Greater Bangkok	10.4	104
Central Thailand (excl Bangkok)	23.3	233
North Thailand	18.8	188
Northeast Thailand	34.2	342
South Thailand	13.3	133
	100	1000
Hong Kong, SAR of the PR of China
Hong Kong Island	16	160
Kowloon	30	300
New Territories East	27	270
New Territories West	27	270
	100	1000
Malaysia
Central	26	260
North	21	210

SEG	%	N (1,000)
AB	28	280
C1	28	280
C2	20	200
DE	24	240
Total	100	1,000

	NORTHERN IRELAND		REPUBLIC OF IRELAND
Social Grade (SEG)	%	N (325)	%	N(675)

ABC1	51	166	57	385
C2DEF	49	159	43	290
TOTAL	100	325	100	675

Region		REPUBLIC OF IRELAND
IRELAND	%	N (675)
City of Dublin	28	189
Munster	27	182
Leinster (excluding city of Dublin)	27	182
Connacht	12	81
Ulster (excluding Northern Ireland counties)	6	41
TOTAL	100	675
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	FRANCE		GERMANY		ITALY		SPAIN		POLAND
	%	N (1000)	%	N (1000)	%	N (1000)	%	N (1000)	%	N (1000)


16-24 males	7.5	75	6.5	65	7.1	71	6.5	65	7.9	79
16-24 females	7.3	73	5.9	59	6.6	66	6.1	61	7.6	77
25-34 males	8.1	81	8.6	86	8.5	85	8.2	82	12.2	122
25-34 females	8.5	85	8	80	8.2	82	8.2	82	11.7	117
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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
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	DENMARK		NETHERLANDS		FINLAND		SWEDEN		NORWAY
	%	N (1000)	%	N (1000)	%	N (1000)	%	N (1000)	%	N (1000)


16-24 males	7.5	75	7.1	71	7	70	7.1	71	7.5	75
16-24 females	7.2	72	6.8	68	6.6	66	6.6	66	7	70
25-34 males	7.8	78	7.9	79	8.5	85	8.6	86	9	90
25-34 females	7.5	75	7.8	78	8	80	8.2	82	8.6	86
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	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
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NIGERIA	%	N (1,000)
Wave 1:
North (Central, East, West)	46	457
South East & South South	36	357
Lagos & South West	18	186
TOTAL	100	1000

Wave 2:
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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
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Region	%	N (1,000)
Najid Region (Al-Riyadh, Al-Qaseem and Ha’il)	32	320
Hijaz Region (Al-Baha, Al-Madinah Al-Monawarah, Makkah Al-Mokarramah and Tabouk)	37	370
Other (Al-Jouf, Aseer, Eastern Region, Jazan, Najran and Northern Borders)	31	310
TOTAL	100	1000

NATIONALITY	%	N (1,000)
Saudi National	59	590
Non-Saudi National	41	410

Age by gender	N=1,000	IPop %
Male, 18-24	62	6.12%
Male, 25-34	92	9.20%
Male, 35-44	85	8.51%
Male, 45-54	82	8.26%
Male, 55-64	80	8.00%
Male, 65-74	53	5.28%
Male, 75+	27	2.70%
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Race	N=1,000	IPop %
White	703	70.25
Black	150	15.00
Asian	64	6.44%
Other race	83	8.31%

Global Consumer

Mintel Consumer Research Methodology

Our research partners

Sample sizes by demographics and geographies

Quotas: Asia Pacific

Quotas: Europe, Middle East and Africa

Quotas: Americas

Ethnicity	N=1,000	IPop %
Hispanic	158	15.75
Non-Hispanic	842	84.25

Income	N=1,000	IPop %
Less than $25,000	120	12.0%
$25,000 - $49,999	187	18.7%
$50,000 - $74,999	175	17.5%
$75,000 - $99,999	141	14.1%
$100,000 plus	377	37.8%

Device	N=1,000	IPop %
Smartphone	400	40%
Non-Smartphone	-	-

Age by gender	N=1000	Ipop %
Male, 18-24	81	8.1%
Male, 25-34	103	10.3%
Male, 35-44	81	8.1%
Male, 45-54	86	8.6%
Male, 55-64	76	7.6%
Male, 65+	74	7.4%
Female, 18-24	60	6.1%
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Province	N=1,000	Canada pop %
Ontario	394	39.5%
Quebec	233	23.3%
British Columbia	127	12.7%
Alberta	118	11.8%
Saskatchewan	27	2.7%
Manitoba	37	3.7%
Atlantic Provinces (New Brunswick, Newfoundland/ Labrador, Nova Scotia, Prince Edward Island)	64	6.4%

Household Income	N=1,000	Canada pop %
Less than $25,000	140	14.0%
$25,000 - $49,000	208	20.8%
$50,000 - $69,999	150	15.0%
$70,000 - $99,999	178	17.8%
$100,000 and over	324	32.4%

Age by gender	N=1000	iPop%
Male, 16-24	99	9.93%
Male, 25-34	126	12.60%
Male, 35-44	124	12.40%
Male, 45-54	70	7.00%
Male, 55+	71	7.13%
Female, 16-24	122	12.20%
Female, 25-34	115	11.47%
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Age by gender
	Mexico		Chile		Colombia		Peru
	N=1000	iPop %	N=1000	iPop %	N=1000	iPop %	N=1000	iPop %
Male, 18-24	136	13.60%	126	12.60%	113	11.30%	149	14.90%
Male, 25-34	155	15.50%	118	11.80%	132	13.20%	153	15.30%
Male, 35-44	109	10.90%	101	10.10%	112	11.20%	91	9.10%
Male, 45-54	58	5.80%	84	8.40%	64	6.40%	45	4.50%
Male, 55+	39	3.90%	77	7.70%	61	6.10%	65	6.50%
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Mexico	Region (based on Electoral circumscriptions)	N=1000	iPop %
Circunscripción 1	230	23%
Circunscripción 2	200	20%
Circunscripción 3	145	14%
Circunscripción 4	197	20%
Circunscripción 5	228	23%

Chile	Region	N=1000	iPop %
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