PanelBook 2017
Data pulled April 2017 | 2
We bring consumers and brands together via the world’s largest social voting
community of millions of members across 68 countries. This empowers companies
to brainstorm ideas, uncover new business opportunities and answer their
questions in real-time.
Our unique, cross channel approach to member engagement provides real-time
access to deeper respondent insight. Our community is well-profiled, and active.
They are loyal, trustworthy and completely candid. We reach survey respondents
across the globe and engage with them when and how they want. And when and
how you want - in Real-Time.
Vast Respondent Profiles - Real-Time Respondent Targeting
Our members provide us with information about themselves, their attitudes and
behaviors. We have developed profiles that enable us to target respondents in real-
time, but can also profile in real-time.
Basic
Automotive
B2B
Beauty
Finance
Health
Home and Family
Internet and Media Use
Medical Professionals
Mobile
Shopping
Sports and Leisure
Toluna is transforming the way marketing decisions are made.
Data pulled April 2017 | 3
13.4+ Million Total Members
Toluna Panel in 68 CountriesNorth America
Canada 357,000
Mexico 367,600
United States 3,057,300
South America
Argentina 192,500
Brazil 743,100
Chile 155,000
Colombia 176,600
Ecuador* 34,800
Paraguay 71,200
Peru* 7,600
Uruguay* 15,800
Venezuela* 109,200
EMEA
Austria 53,500
Belgium 98,300
Bulgaria* 18,000
Czech Republic 29,500
Denmark 75,000
Finland 50,300
France 542,300
Germany 549,500
Greece 31,600
Hungary 52,000
Ireland 43,900
Italy 222,000
Latvia* 10,000
Lithuania* 5,800
Netherlands 232,600
Nigeria 29,000
Norway 45,000
Poland 138,400
Portugal 37,200
Romania* 52,900
Russian Federation 360,200
Slovakia* 8,000
South Africa* 82,400
Spain 246,000
Sweden 64,600
Switzerland 29,500
Turkey 238,100
Ukraine* 41,300
United Kingdom 672,400
MENA
Bahrain Launched
Egypt 79,100
Iran Launched
Iraq Launched
Kuwait Launched
Lebanon Launched
Morocco 48,800
Oman Launched
Pakistan 66,000
Qatar Launched
Saudi Arabia 79,100
Tunisia 4,200
UAE 54,900
APAC
Australia 224,700
China 1,455,000
Hong Kong 100,000
India 307,000
Indonesia 185,900
Japan 342,200
Korea 273,600
Malaysia 141,900
New Zealand 67,800
Philippines 150,000
Singapore 105,000
Taiwan 113,000
Thailand 136,400
Vietnam* 133,800
*Toluna.com community launch pending
South America: 1.5+ Million Members
MENA: 332,100+ Members
North America: 3.7+ Million Members
APAC: 3.7+ Million Members
EMEA: 4+ Million Members
Data pulled April 2017 | 4
The Americas
Costa Rica
El Salvador
Guatemala
Panama
Puerto Rico
Toluna PartnersEMEA
Belarus
Croatia
Estonia
Kenya
Latvia
Lithuania
Nigeria
Slovenia
Kazakhstan
MENA
Algeria
Bahrain
Jordan
Oman
Panel CommunitiesNorth America
Data pulled April 2017 | 6
Age
Panel Count Nat Rep
18-24 33% 12%
25-34 25% 17%
35-44 17% 22%
45-54 13% 20%
55-99 12% 29%
Gender
Panel Count Nat Rep
Female 67% 51%
Male 33% 49%
Household Income
Panel Count
Less than $15,000 12%
$15,000 to $24,999 14%
$25,000 to $34,999 12%
$35,000 to $44,999 10%
$45,000 to $54,999 10%
$55,000 to $64,999 6%
$65,000 to $74,999 6%
$75,000 to $84,999 4%
$85,000 to $94,999 3%
$95,000 to $124,999 6%
$125,000 to $199,999 3%
$200,000 or more 1%
Prefer not to say 13%
Subtotal selection 100%
Geographic Region
Panel Count
Atlantic Canada 7%
British Columbia 10%
Ontario 34%
Prairie Provinces 15%
Quebec 34%
Canada Panel Size: 357,000 Language: English, FrenchSmartphone Penetration: 56%*
According to data from December 2016 +/-14% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 7
Age
Panel Count Nat Rep
18-24 38% 19%
25-34 35% 24%
35-44 15% 21%
45-54 8% 16%
55-99 4% 21%
Gender
Panel Count Nat Rep
Female 48% 52%
Male 52% 48%
Household Income
Panel Count
Less than 20.000 Pesos 21%
20.000 to 39.999 Pesos 9%
40.000 to 59.999 Pesos 6%
60.000 to 79.999 Pesos 6%
80.000 to 99.999 Pesos 8%
100.000 to 119.999 Pesos 5%
120.000 to 139.999 Pesos 4%
140.000 to 159.999 Pesos 3%
160.000 to 179.999 Pesos 2%
180.000 to 199.999 Pesos 3%
200.000 to 299.999 Pesos 4%
300.000 to 399.999 Pesos 4%
400.000 to 499.999 Pesos 2%
500.000 to 749.999 Pesos 2%
750.000 to 999.999 Pesos 1%
1.000.000 to 1.499.999 Pesos 1%
1.500.000 to 2.000.000 Pesos 1%
2.000.000 Pesos or more 1%
Prefer not to say 17%
Subtotal selection 100%
Mexico
Geographic Region
Panel Count
Center 54%
East 14%
North 12%
South 11%
West 9%
Panel Size: 367,600 Language: SpanishSmartphone Penetration: 37%*
According to data from Decmber 2016 +/-24% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Socio Economic Level
Percentages
AB 27%
C+ 27%
C+ 19%
C- 14%
D+ 8%
D+ 5%
E -
Data pulled April 2017 | 8
Age
Panel Count Nat Rep
18-24 31% 13%
25-34 27% 19%
35-44 18% 22%
45-54 12% 18%
55-99 12% 28%
Gender
Panel Count Nat Rep
Female 71% 51%
Male 29% 49%
Household Income
Panel Count
Less than $15,000 11%
$15,000 to $24,999 36%
$25,000 to $34,999 7%
$35,000 to $44,999 12%
$45,000 to $54,999 5%
$55,000 to $64,999 6%
$65,000 to $74,999 2%
$75,000 to $84,999 5%
$85,000 to $94,999 2%
$95,000 to $124,999 5%
$125,000 to $199,999 2%
$200,000 or more 1%
Prefer not to say 6%
Subtotal selection 100%
United States
Race
Panel Count
White 69%
Black or 14% African-American
Native American or 2% Alaska Native
Asian 3%
Native Hawaiian or 1% Other Pacific Islander
Other 6%
Don’t know/prefer 5% not to answer
Geographic Region
Panel Count
MidWest 20%
NorthEast 15%
Other 1%
South 40%
West 24%
Panel Size: 3,057,300 Language: EnglishSmartphone Penetration: 56%*
According to data from December 2016 +/-25% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Ethnicity
Panel Count
Hispanic 14%
Panel CommunitiesSouth America
Data pulled April 2017 | 10
Argentina Panel Size: 192,500 Language: SpanishSmartphone Penetration: 31%*
Age
Panel Count Nat Rep
18-24 29% 16%
25-34 37% 22%
35-44 19% 18%
45-54 9% 15%
55-99 6% 29%
Gender
Panel Count Nat Rep
Female 57% 52%
Male 43% 48%
Household Income
Panel Count
Less than 25.000 ARS 28%
25.000 to 50.000 ARS 21%
50.000 to 100.000 ARS 18%
100.000 to 200.000 ARS 10%
200.000 to 300.000 ARS 3%
300.000 to 400.000 ARS 4%
400.000 to 500.000 ARS 1%
500.000 to 600.000 ARS 1%
600.000 to 750.000 ARS 0%
750.000 to 1.000.000 ARS 0%
1.000.000 ARS or more 0%
Prefer not to say 14%
Subtotal selection 100%
According to data from December 2016 +/-36% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 11
Age
Panel Count Nat Rep
18-24 24% 18%
25-34 30% 27%
35-44 21% 22%
45-54 14% 17%
55-99 11% 16%
Gender
Panel Count Nat Rep
Female 58% 51%
Male 42% 49%
Household Income
Panel Count
Less than 4600 BRL 33%
4600 to 9299 BRL 11%
9300 to 13 999 BRL 5%
14 000 to 18 999 BRL 4%
19 000 to 22 999 BRL 3%
23 000 to 27 999 BRL 3%
28 000 to 32 999 BRL 2%
33 000 to 36 999 BRL 2%
37 000 to 41 999 BRL 3%
42 000 to 46 999 BRL 2%
47 000 to 69 999 BRL 4%
70 000 to 93 999 BRL 3%
94 000 to 116 999 BRL 2%
117 000 to 175 999 BRL 2%
176 000 to 234 999 BRL 1%
235 000 to 349 999 BRL 1%
350 000 to 469 999 BRL 0%
470 000 BRL or more 1%
Prefer not to say 18%
Subtotal selection 100%
Brazil
Geographic Region
Panel Count
Acre 0%
Alagoas 1%
Amapa 0%
Amazonas 3%
Bahia 4%
Ceara 3%
Espirito Santo 2%
Federal District 2%
Goias 2%
Maranhao 1%
Mato Grosso 1%
Mato Grosso do Sul 1%
Minas Gerais 8%
Para 1%
Paraiba 1%
Parana 5%
Pernambuco 3%
Piaui 1%
Rio Grande do Norte 1%
Rio Grande do Sul 5%
Rio de Janeiro 13%
Rondonia 0%
Roraima 0%
Santa Catarina 3%
Sao Paulo 38%
Sergipe 1%
Tocantins 0%
Panel Size: 743,100 Language: PortugueseSmartphone Penetration: 26%*
According to data from December 2016 +/-16% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Socio Economic Level
Percentages
A 10%
B1 12%
B2 31%
C1 26%
C2 16%
D-E 5%
Data pulled April 2017 | 12
Age
Panel Count Nat Rep
18-24 17% 17%
25-34 33% 19%
35-44 25% 19%
45-54 13% 19%
55-99 12% 26%
Gender
Panel Count Nat Rep
Female 58% 52%
Male 42% 48%
Household Income
Panel Count
Less than 1 million CLP 27%
1.000.001 to 3.000.000 CLP 17%
3.000.001 to 5.000.000 CLP 9%
5.000.001 to 7.000.000 CLP 6%
7.000.001 to 9.000.000 CLP 5%
9.000.001 to 15.000.000 CLP 9%
15.000.001 to 25.000.000 CLP 7%
25.000.001 to 35.000.000 CLP 3%
35.000.001 to 45.000.000 CLP 2%
45.000.001 to 50.000.000 CLP 1%
50.000.001 CLP or more 1%
Prefer not to say 13%
Subtotal selection 100%
According to data from December 2016 +/-35% of respondents complete Toluna
surveys via a mobile device
Chile Panel Size: 155,000 Language: Spanish
Data pulled April 2017 | 13
Age
Panel Count Nat Rep
18-24 21% 19%
25-34 36% 23%
35-44 25% 20%
45-54 13% 18%
55-99 5% 21%
Gender
Panel Count
Female 54%
Male 46%
Household Income
Panel Count
Low Annual Income 15%
Average Annual Income 52%
High Annual Income 7%
Prefer not to say 26%
Subtotal selection 100%
Colombia Panel Size: 176,600 Language: Spanish
According to data from December 2016 +/-31% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 14
Age
Panel Count Nat Rep
18-24 26% 22%
25-34 40% 19%
35-44 21% 19%
45-54 9% 19%
55-99 4% 22%
Gender
Panel Count
Female 51%
Male 49%
Ecuador Panel Size: 34,800 Language: Spanish
Household Income
Panel Count
Low Annual Income 47%
Average Annual Income 2%
High Annual Income 1%
Prefer not to say 50%
Subtotal selection 100%
Data pulled April 2017 | 15
Age
Panel Count Nat Rep
18-24 43% 35%
25-34 37% 37%
35-44 14% 17%
45-54 5% 8%
55+ 1% 3%
Gender
Panel Count Nat Rep
Female 42% 32%
Male 58% 68%
Paraguay Panel Size: 71,200 Language: Spanish
Household Income
Panel Count
Low annual income 4%
Average annual income 5%
High annual income 0%
Prefer not to say 91%
Subtotal selection 100%
Data pulled April 2017 | 16
Age
Panel Count Nat Rep
18-24 42% 20%
25-34 31% 24%
35-44 15% 20%
45-54 8% 16%
55-99 4% 21%
Gender
Panel Count Nat Rep
Female 42% 51%
Male 58% 49%
Household Income
Panel Count
Less than 20.000 PEN 33%
20.000 to 45.000 PEN 19%
45.000 to 85.000 PEN 8%
85.000 to 170.000 PEN 6%
170.000 to 260.000 PEN 3%
260.000 to 350.000 PEN 3%
350.000 to 440.000 PEN 2%
440.000 to 520.000 PEN 1%
520.000 to 650.000 PEN 1%
650.000 to 870.000 PEN 1%
870.000 PEN or more 1%
Prefer not to say 22%
Subtotal selection 100%
Peru Panel Size: 7,600 Language: Spanish
According to data from December 2016 +/-33% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 17
Age
Panel Count Nat Rep
18-24 31% 35%
25-34 30% 28%
35-44 21% 18%
45-54 12% 12%
55+ 6% 7%
Gender
Panel Count Nat Rep
Female 62% 54%
Male 38% 46%
Uruguay Panel Size: 15,800Language: Spanish
Household Income
Panel Count
Prefer not to say 100%
Subtotal selection 100%
Data pulled April 2017 | 18
Age
Panel Count Nat Rep
18-24 25% 22%
25-34 37% 19%
35-44 22% 19%
45-54 11% 19%
55-99 5% 19%
Gender
Panel Count
Female 48%
Male 52%
Venezuela Panel Size: 109,200 Language: Spanish
Household Income
Panel Count
Low Annual Income 34%
Average Annual Income 22%
High Annual Income 4%
Prefer not to say 40%
Subtotal selection 100%
Panel CommunitiesEMEA
Data pulled April 2017 | 20
Age
Panel Count Nat Rep
18-24 35% 10%
25-34 25% 15%
35-44 15% 16%
45-54 11% 20%
55-99 14% 38%
Gender
Panel Count Nat Rep
Female 57% 52%
Male 43% 48%
Household Income
Panel Count
Less than 15.000 EUR 25%
15.000 to 19.999 EUR 14%
20.000 to 29.999 EUR 17%
30.000 to 39.999 EUR 10%
40.000 to 49.999 EUR 6%
50.000 to 59.999 EUR 3%
60.000 to 69.999 EUR 2%
70.000 to 79.999 EUR 3%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 1%
100.000 to 149.999 EUR 1%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 17%
Subtotal selection 100%
Austria
Geographic Region
Panel Count
Burgenland 3%
Carinthia 6%
Lower Austria 19%
Salzburg 6%
Styria 14%
Tyrol 7%
Upper Austria 15%
Vienna 26%
Vorarlberg 4%
Panel Size: 53,500 Language: GermanSmartphone Penetration: 48%*
According to data from December 2016 +/-18% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 21
Age
Panel Count Nat Rep
18-24 30% 14%
25-34 26% 21%
35-44 18% 25%
45-54 14% 21%
55-99 12% 20%
Gender
Panel Count Nat Rep
Female 59% 52%
Male 41% 48%
Household Income
Panel Count
Less than 15.000 EUR 20%
15.000 to 19.999 EUR 12%
20.000 to 29.999 EUR 16%
30.000 to 39.999 EUR 12%
40.000 to 49.999 EUR 6%
50.000 to 59.999 EUR 3%
60.000 to 69.999 EUR 2%
70.000 to 79.999 EUR 2%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 1%
100.000 to 149.999 EUR 1%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 24%
Subtotal selection 100%
Belgium
Geographic Region
Panel Count
Center 10%
North 56%
South 34%
Panel Size: 98,300 Language: Dutch, French, GermanSmartphone Penetration: 34%*
According to data from December 2016 +/-12% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 22
Bulgaria Panel Size: 18,000 Language: Bulgarian
Age
Panel Count
18-24 37%
25-34 36%
35-44 17%
45-54 8%
55-64 3%
65-99 0%
Household Income
Panel Count
Average annual income 1%
High annual income 0%
Low annual income 11%
Prefer not to say 88%
Subtotal selection 100%
Gender
Panel Count
Female 61%
Male 39%
Data pulled April 2017 | 23
Age
Panel Count Nat Rep
18-24 18% 10%
25-34 24% 17%
35-44 22% 20%
45-54 19% 16%
55-99 17% 38%
Gender
Panel Count Nat Rep
Female 68% 51%
Male 32% 49%
Household Income
Panel Count
Less than 96 000 Crowns 17%
96 000 to 191 999 Czech Crowns 32%
192 000 to 299 999 Czech Crowns 24%
300 000 to 395 999 Czech Crowns 14%
396 000 to 503 999 Czech Crowns 8%
504 000 Czech Crowns or more 5%
Subtotal selection 100%
Czech Republic Panel Size: 29,500 Language: CzechSmartphone Penetration: 42%*
According to data from December 2016 +/-9% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 24
Age
Panel Count Nat Rep
18-24 40% 14%
25-34 19% 17%
35-44 15% 18%
45-54 13% 17%
55-99 13% 34%
Gender
Panel Count Nat Rep
Female 50% 51%
Male 50% 49%
Household Income
Panel Count
Less than 110,000 DKK 16%
110,000 to 149,000 DKK 8%
150,000 to 219,000 DKK 10%
220,000 to 299,000 DKK 9%
300,000 to 374,000 DKK 8%
375,000 to 449,000 DKK 6%
450,000 to 519,000 DKK 5%
520,000 to 594,000 DKK 3%
595,000 to 669,000 DKK 3%
670,000 to 744,000 DKK 3%
745,000 to 999 999 DKK 3%
1 to 1,5 million DKK 1%
1,6 to 1,8 million DKK 0%
1,9 million DKK or more 1%
Prefer not to say 24%
Subtotal selection 100%
Denmark
Geographic Region
Panel Count
Copenhagen Capital 30%
Region Central Jutland 25%
Region North Jutland 11%
Region South Denmark 19%
Region Zealand 15%
Panel Size: 75,000 Language: DanishSmartphone Penetration: 59%*
According to data from December 2016 +/-18% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 25
Age
Panel Count Nat Rep
18-24 29% 11%
25-34 25% 15%
35-44 16% 15%
45-54 14% 17%
55-99 16% 42%
Gender
Panel Count Nat Rep
Female 52% 51%
Male 48% 49%
Household Income
Panel Count
Less than 15.000 EUR 19%
15.000 to 19.999 EUR 8%
20.000 to 29.999 EUR 12%
30.000 to 39.999 EUR 10%
40.000 to 49.999 EUR 7%
50.000 to 59.999 EUR 5%
60.000 to 69.999 EUR 4%
70.000 to 79.999 EUR 3%
80.000 to 89.999 EUR 2%
90.000 to 99.999 EUR 2%
100.000 to 149.999 EUR 2%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 1%
250.000 EUR or more 2%
Prefer not to say 23%
Subtotal selection 100%
Finland
Geographic Region
Panel Count
Aland Islands 0%
Central Finland 5%
Central Ostrobothnia 1%
Eastern Uusimaa 9%
Kainuu 1%
Kymenlaakso 3%
Lapland 3%
North Karelia 2%
Northern Ostrobothnia 7%
Northern Savonia 5%
Ostrobothnia 2%
Paijanne Tavastia 7%
Pirkanmaa 9%
Satakunta 3%
South Karelia 2%
Southern Ostrobothnia 3%
Southern Savonia 2%
Southwest Finland 10%
Tavastia Proper 1%
Uusimaa 25%
Panel Size: 50,300 Language: FinnishSmartphone Penetration: 46%*
According to data from December 2016 +/-25% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 26
Age
Panel Count Nat Rep
18-24 26% 12%
25-34 27% 17%
35-44 20% 19%
45-54 14% 18%
55-99 13% 34%
Gender
Panel Count Nat Rep
Female 59% 52%
Male 41% 48%
Household Income
Panel Count
Less than 15.000 EUR 26%
15.000 to 19.999 EUR 14%
20.000 to 29.999 EUR 19%
30.000 to 39.999 EUR 12%
40.000 to 49.999 EUR 6%
50.000 to 59.999 EUR 3%
60.000 to 69.999 EUR 2%
70.000 to 79.999 EUR 1%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 0%
100.000 to 149.999 EUR 1%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 15%
Subtotal selection 100%
France
Geographic Region
Panel Count
BP EST 9%
BP OUEST 10%
CENTRE EST 11%
EST 8%
ILE DE FRANCE 17%
MEDITERRANEE 12%
NORD 8%
OTHER 0%
OUEST 14%
SUD OUEST 11%
Panel Size: 542,300 Language: FrenchSmartphone Penetration: 42%*
According to data from December 2016 +/-10% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 27
Age
Panel Count Nat Rep
18-24 32% 9%
25-34 31% 15%
35-44 16% 15%
45-54 13% 20%
55-99 8% 41%
Gender
Panel Count Nat Rep
Female 59% 51%
Male 41% 49%
Household Income
Panel Count
Less than 15.000 EUR 26%
15.000 to 19.999 EUR 10%
20.000 to 29.999 EUR 14%
30.000 to 39.999 EUR 12%
40.000 to 49.999 EUR 7%
50.000 to 59.999 EUR 5%
60.000 to 69.999 EUR 3%
70.000 to 79.999 EUR 2%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 1%
100.000 to 149.999 EUR 1%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 18%
Subtotal selection 100%
Germany
Geographic Region
Panel Count
East 27%
Middle 13%
North 16%
South 21%
West 23%
Panel Size: 549,500 Language: GermanSmartphone Penetration: 40%*
According to data from December 2016 +/-13% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 28
Age
Panel Count Nat Rep
18-24 17% 8%
25-34 33% 16%
35-44 31% 19%
45-54 15% 18%
55-99 4% 39%
Gender
Panel Count Nat Rep
Female 69% 52%
Male 31% 48%
Household Income
Panel Count
Less than 15.000 EUR 44%
15.000 to 19.999 EUR 15%
20.000 to 29.999 EUR 11%
30.000 to 39.999 EUR 4%
40.000 to 49.999 EUR 2%
50.000 to 59.999 EUR 1%
60.000 to 69.999 EUR 0%
70.000 to 79.999 EUR 0%
80.000 to 89.999 EUR 0%
90.000 to 99.999 EUR 0%
100.000 to 149.999 EUR 0%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 23%
Subtotal selection 100%
Greece Panel Size: 31,600 Language: GreekSmartphone Penetration: 33%*
According to data from December 2016 +/-22% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 29
Age
Panel Count Nat Rep
18-24 9% 11%
25-34 18% 17%
35-44 24% 17%
45-54 21% 17%
55-99 28% 39%
Gender
Panel Count
Female 43%
Male 57%
Hungary Panel Size: 52,000 Language: HungarianSmartphone Penetration: 34%*
Household Income
Panel Count
Low Annual Income 28%
Average Annual Income 47%
High Annual Income 3%
Prefer not to say 22%
Subtotal selection 100%
*Data pulled from 2015 rankings
According to data from December 2016 +/-29% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 30
Age
Panel Count Nat Rep
18-24 26% 11%
25-34 27% 21%
35-44 23% 31%
45-54 15% 17%
55-99 9% 20%
Gender
Panel Count Nat Rep
Female 66% 50%
Male 34% 50%
Household Income
Panel Count
Less than 15.000 EUR 16%
15.000 to 19.999 EUR 13%
20.000 to 29.999 EUR 16%
30.000 to 39.999 EUR 12%
40.000 to 49.999 EUR 9%
50.000 to 59.999 EUR 5%
60.000 to 69.999 EUR 6%
70.000 to 79.999 EUR 2%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 1%
100.000 to 149.999 EUR 1%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 18%
Subtotal selection 100%
Ireland Panel Size: 43,900 Language: Irish Gaelic, EnglishSmartphone Penetration: 57%*
According to data from December 2016 +/-25% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 31
Age
Panel Count Nat Rep
18-24 17% 9%
25-34 30% 14%
35-44 26% 19%
45-54 17% 19%
55-99 10% 39%
Gender
Panel Count Nat Rep
Female 60% 52%
Male 40% 48%
Household Income
Panel Count
Less than 15.000 EUR 25%
15.000 to 19.999 EUR 13%
20.000 to 29.999 EUR 20%
30.000 to 39.999 EUR 10%
40.000 to 49.999 EUR 5%
50.000 to 59.999 EUR 2%
60.000 to 69.999 EUR 2%
70.000 to 79.999 EUR 1%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 1%
100.000 to 149.999 EUR 1%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 19%
Subtotal selection 100%
Italy
Geographic Region
Panel Count
Centre 19%
North East 15%
North West 28%
South 38%
Panel Size: 222,000 Language: ItalianSmartphone Penetration: 41%*
According to data from December 2016 +/-19% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 32
Age
Panel Count Nat Rep
18-24 34% 10%
25-34 42% 17%
35-44 14% 16%
45-54 8% 18%
55-99 3% 39%
Gender
Panel Count Nat Rep
Female 55% 55%
Male 45% 45%
Household Income
Panel Count
Average annual income 5%
High annual income 3%
Low annual income 92%
Subtotal selection 100%
Latvia Panel Size: 10,000 Language: Latvian
Data pulled April 2017 | 33
Age
Panel Count Nat Rep
18-24 41% 11%
25-34 39% 16%
35-44 14% 16%
45-54 4% 18%
55-99 1% 39%
Gender
Panel Count Nat Rep
Female 56% 55%
Male 44% 45%
Household Income
Panel Count
Average annual income 1%
High annual income 1%
Low annual income 97%
Subtotal selection 100%
Lithuania Panel Size: 5,800 Language: Lithuanian
Data pulled April 2017 | 34
Age
Panel Count Nat Rep
18-24 40% 11%
25-34 19% 18%
35-44 14% 21%
45-54 13% 19%
55-99 14% 31%
Gender
Panel Count Nat Rep
Female 61% 51%
Male 39% 49%
Household Income
Panel Count
Less than 15.000 EUR 22%
15.000 to 19.999 EUR 8%
20.000 to 29.999 EUR 14%
30.000 to 39.999 EUR 13%
40.000 to 49.999 EUR 7%
50.000 to 59.999 EUR 3%
60.000 to 69.999 EUR 3%
70.000 to 79.999 EUR 2%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 1%
100.000 to 149.999 EUR 1%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 25%
Subtotal selection 100%
Netherlands
Geographic Region
Panel Count
Centre-Regio 9% Randstad
East 20%
North 13%
South 20%
West-Regio 38% Randstad
Panel Size: 232,600 Language: DutchSmartphone Penetration: 52%*
According to data from December 2016 +/-20% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 35
Age
Panel Count Nat Rep
18-24 37% 25%
25-34 45% 28%
35-44 13% 20%
45-54 4.5% 13%
55-99 0.5% 14%
Gender
Panel Count Nat Rep
Female 28% 49%
Male 72% 51%
Household Income
Panel Count
Under $15,000 1%
$15,000-$19,999 1%
$20,000-$24,999 0%
$25,000-$29,999 0%
$30,000-$34,999 0%
$35,000-$59,000 0%
$60,000-$64,999 0%
$80,000-$84,999 0%
$85,000-$199,000 0%
$200,000+ 0%
Low annual income 8%
Average annual income 3%
High annual income 0%
Prefer not to say 86%
Subtotal selection 100%
Nigeria Panel Size: 29,000 Language: English
Data pulled April 2017 | 36
Age
Panel Count Nat Rep
18-24 40% 12%
25-34 24% 17%
35-44 16% 18%
45-54 11% 18%
55-99 9% 36%
Gender
Panel Count Nat Rep
Female 52% 50%
Male 48% 50%
Household Income
Panel Count
Less than 120.000 NOK 13%
120.000 to 159.999 NOK 6%
160.000 to 249.999 NOK 8%
250.000 to 329.999 NOK 7%
330.000 to 399.999 NOK 8%
400.000 to 489.999 NOK 7%
490.000 to 569.999 NOK 5%
570.000 to 649.999 NOK 5%
650.000 to 739.999 NOK 4%
740.000 to 819.999 NOK 4%
820.000 to 1.229.999 NOK 6%
1.230.000 to 1.639.999 NOK 1%
1.640.000 to 2.049.999 NOK 1%
2.050.000 NOK or more 2%
Prefer not to say 24%
Subtotal selection 100%
Norway
Geographic Region
Panel Count
Akerhus County 11%
Aust-Agder County 2%
Buskerud County 6%
Finnmark County 1%
Hedmark County 4%
Hordaland County 10%
Møre og Romsdal County 4%
Nord-Trøndelag County 2%
Nordland County 4%
Oppland County 3%
Oslo County 15%
Rogaland County 8%
Sogn og Fjordane County 2%
Svalbard County 0%
Sør-Trøndelag County 6%
Telemark County 4%
Troms County 3%
Vest-Agder County 3%
Vestfold County 5%
Østfold County 7%
Panel Size: 45,000 Language: NorwegianSmartphone Penetration: 68%*
According to data from December 2016 +/-23% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 37
Age
Panel Count Nat Rep
18-24 27% 11%
25-34 38% 20%
35-44 18% 18%
45-54 9% 15%
55-99 8% 36%
Gender
Panel Count Nat Rep
Female 64% 52%
Male 36% 48%
Household Income
Panel Count
Less than 3 000 PLN 6%
3 001 to 6 000 PLN 7%
6 001 to 12 000 PLN 3%
12 001 to 18 000 PLN 6%
18 001 to 24 000 PLN 11%
24 001 to 30 000 PLN 7%
30 001 to 36 000 PLN 9%
36 001 to 48 000 PLN 9%
48 001 to 60 000 PLN 9%
60 001 to 72 000 PLN 5%
72 001 to 84 000 PLN 3%
84 001 to 96 000 PLN 2%
96 001 to 108 000 PLN 1%
108 000 PLN or more 2%
Prefer not to say 20%
Subtotal selection 100%
Poland
Geographic Region
Panel Count
Central 21%
East 15%
North 16%
North West 16%
South 21%
South West 11%
Panel Size: 138,400 Language: PolishSmartphone Penetration: 35%*
According to data from December 2016 +/-10% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 38
Age
Panel Count Nat Rep
18-24 28% 10%
25-34 31% 16%
35-44 25% 19%
45-54 11% 17%
55-99 5% 38%
Gender
Panel Count Nat Rep
Female 63% 52%
Male 37% 48%
Household Income
Panel Count
Less than 15.000 EUR 40%
15.000 to 19.999 EUR 14%
20.000 to 29.999 EUR 10%
30.000 to 39.999 EUR 5%
40.000 to 49.999 EUR 2%
50.000 to 59.999 EUR 2%
60.000 to 69.999 EUR 1%
70.000 to 79.999 EUR 1%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 0%
100.000 to 149.999 EUR 1%
Prefer not to say 23%
Subtotal selection 100%
Portugal
Geographic Region
Panel Count
Aveiro 7%
Beja 1%
Braga 4%
Braganca 1%
Castelo Branco 2%
Coimbra 4%
Evora 1%
Faro 4%
Guarda 1%
Ilha de Madeira 3%
Ilhas dos Amores 2%
Leiria 5%
Lisboa 27%
Portalegre 1%
Porto 19%
Santarem 4%
Setubal 10%
Viano do Castelo 1%
Vila Real 1%
Viseu 2%
Panel Size: 37,200 Language: PortugueseSmartphone Penetration: 32%*
According to data from December 2016 +/-15% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 39
Romania Panel Size: 52,900 Language: RomanianSmartphone Penetration: 28%*
Age
Panel Count Nat Rep
18-24 18% 11%
25-34 41% 18%
35-44 23% 18%
45-54 13% 18%
55-99 5% 34%
Gender
Panel Count
Female 58%
Male 42%
Household Income
Panel Count
Less than 6,000 Lei 30%
6,000 - 11,999 Lei 19%
12,000 - 17,999 Lei 15%
18,000 - 29,999 Lei 18%
30,000 - 47,999 Lei 12%
48,000 Lei or more 6%
Subtotal selection 100%
*Data pulled from 2015 rankings
Data pulled April 2017 | 40
Russian Federation Panel Size: 360,200 Language: RussianSmartphone Penetration: 36%*
Age
Panel Count Nat Rep
18-24 29% 10%
25-34 43% 21%
35-44 17% 18%
45-54 7% 18%
55-99 4% 33%
Gender
Panel Count Nat Rep
Female 58% 55%
Male 42% 45%
Household Income
Panel Count
Less than 100 000 RUB 46%
100 001 RUB to 200 000 RUB 12%
200 001 RUB to 300 000 RUB 7%
300 001 RUB to 400 000 RUB 7%
400 001 RUB to 500 000 RUB 6%
500 001 RUB to 1 000 000 RUB 10%
1 000 000 RUB or more 4%
Prefer not to say 8%
Subtotal selection 100%
According to data from December 2016 +/-11% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 41
Age
Panel Count Nat Rep
18-24 32% 11%
25-34 40% 17%
35-44 17% 20%
45-54 7% 17%
55-99 4% 35%
Gender
Panel Count Nat Rep
Female 72% 51%
Male 28% 49%
Household Income
Panel Count
Average annual income 25%
High annual income 2%
Low annual income 73%
Subtotal selection 100%
Slovakia Panel Size: 8,000 Language: SlovakSmartphone Penetration: -
*Data pulled from 2015 rankings
Data pulled April 2017 | 42
Age
Panel Count Nat Rep
18-24 20% 22%
25-34 35% 28%
35-44 24% 17%
45-54 13% 14%
55-99 8% 20%
Gender
Panel Count Nat Rep
Female 62% 51%
Male 38% 49%
Household Income
Panel Count
Less than 30,000 South African Rands 21%
30,001 to 40,000 South African Rands 4%
40,001 to 50,000 South African Rands 3%
50,001 to 60,000 South African Rands 2%
60,001 to 70,000 South African Rands 2%
70,001 to 80,000 South African Rands 2%
80,001 to 90,000 South African Rands 2%
90,001 to 100,000 South African Rands 5%
100,001 to 150,000 South African Rands 7%
150,001 to 200,000 South African Rands 6%
200,001 to 250,000 South African Rands 6%
250,001 to 350,000 South African Rands 6%
350,001 to 450,000 South African Rands 4%
450,001 to 500,000 South African Rands 2%
500,000 South African Rands or more 5%
Prefer not to say 23%
Subtotal selection 100%
South Africa Panel Size: 82,400 Languages: Afrikaans, English, Ndebele, Northern Sotho,Sotho, Swazi, Tswana, Tsonga, Venda, Xhosa and ZuluSmartphone Penetration: 40%*
According to data from December 2016 +/-27% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 43
Spain Panel Size: 246,000 Language: SpanishSmartphone Penetration: 55%*
Age
Panel Count Nat Rep
18-24 27% 8%
25-34 30% 16%
35-44 23% 21%
45-54 14% 19%
55-99 6% 36%
Gender
Panel Count Nat Rep
Female 56% 51%
Male 44% 49%
Household Income
Panel Count
Less than 15.000 EUR 32%
15.000 to 19.999 EUR 14%
20.000 to 29.999 EUR 17%
30.000 to 39.999 EUR 9%
40.000 to 49.999 EUR 4%
50.000 to 59.999 EUR 3%
60.000 to 69.999 EUR 2%
70.000 to 79.999 EUR 1%
80.000 to 89.999 EUR 1%
90.000 to 99.999 EUR 0%
100.000 to 149.999 EUR 0%
150.000 to 199.999 EUR 0%
200.000 to 249.999 EUR 0%
250.000 EUR or more 0%
Prefer not to say 17%
Subtotal selection 100%
Geographic Region
Panel Count
EST 32%
NORTE 15%
OUEST 8%
SUD 45%
According to data from December 2016 +/-18% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 44
Sweden Panel Size: 64,600 Language: SwedishSmartphone Penetration: 63%*
Age
Panel Count Nat Rep
18-24 31% 12%
25-34 26% 16%
35-44 16% 16%
45-54 13% 17%
55-99 14% 39%
Gender
Panel Count Nat Rep
Female 52% 50%
Male 48% 50%
Household Income
Panel Count
Less than 65 000 SEK 11%
65 000 to 129 999 SEK 8%
130 000 to 194 999 SEK 9%
195 000 to 259 999 SEK 14%
260 000 to 324 999 SEK 10%
325 000 to 389 999 SEK 7%
390 000 to 519 999 SEK 8%
520 000 to 649 999 SEK 5%
650 000 to 779 999 SEK 3%
780 000 to 1 039 999 SEK 2%
1 040 000 to 1 299 999 SEK 2%
1 300 000 or more 1%
Prefer not to say 20%
Subtotal selection 100%
Geographic Region
Panel Count
East Middle 19%
Middle Norrland 4%
North Middle 9%
Smaland and Islands 6%
South 15%
Stockholm 23%
Upper Norrland 5%
West Sweden 19%
According to data from December 2016 +/-23% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 45
Switzerland Panel Size: 29,500 Language: German, French, Italian, RomanshSmartphone Penetration: 54%*
Age
Panel Count Nat Rep
18-24 27% 10%
25-34 26% 17%
35-44 20% 18%
45-54 16% 19%
55-99 11% 36%
Gender
Panel Count Nat Rep
Female 65% 51%
Male 35% 49%
Household Income
Panel Count
Less than 23,000 CHF 15%
23,000 to 29,999 CHF 6%
30,000 to 44,999 CHF 9%
45,000 to 60,999 CHF 14%
61,000 to 75,999 CHF 10%
76,000 to 90,999 CHF 8%
91,000 to 105,999 CHF 7%
106,000 to 120,999 CHF 4%
121,000 to 135,999 CHF 2%
136,000 to 150,999 CHF 2%
151,000 to 225,999 CHF 2%
226,000 to 299,999 CHF 0%
300,000 to 379,999 CHF 0%
380,000 CHF or more 1%
Prefer not to say 20%
Subtotal selection 100%
Geographic Region
Panel Count
Central 7%
East 11%
Lemanique Region 32%
Midlands 24%
NorthWest 11%
Principality of 0% Liechtenstein
Ticino 1%
Zurich 14%
According to data from December 2016 +/-24% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 46
Turkey Panel Size: 238,100 Language: Turkish
Age
Panel Count Nat Rep
18-24 31% 17%
25-34 40% 22%
35-44 20% 22%
45-54 7% 17%
55-99 2% 22%
Gender
Panel Count Nat Rep
Female 34% 50%
Male 66% 50%
Household Income
Panel Count
Less than 5000 YTL 37%
5000 YTL to 9999 YTL 9%
10.000 YTL to 19.999 YTL 15%
20.000 YTL to 39.999 YTL 17%
40.000 YTL to 59.999 YTL 9%
60.0000 YTL to 79.999 YTL 9%
80.000 YTL or more 5%
Subtotal selection 100%
According to data from December 2016 +/-28% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 47
Ukraine Panel Size: 41,300 Language: Ukrainian, Russian
Age
Panel Count Nat Rep
18-24 30% 11%
25-34 40% 18%
35-44 19% 18%
45-54 8% 17%
55+ 3% 36%
Household Income
Panel Count
100,001 - 200,000 RUB 1%
200,001 - 300,000 RUB 0%
300,001 - 400,000 RUB 0%
400,001 - 500,000 RUB 0%
500,001 - 1,000,000 RUB 0%
Low annual income 51%
Average annual income 45%
High annual income 3%
Subtotal selection 100%
Gender
Panel Count Nat Rep
Female 52% 55%
Male 48% 45%
Data pulled April 2017 | 48
United Kingdom Panel Size: 672,400 Language: EnglishSmartphone Penetration: 62%*
Age
Panel Count Nat Rep
18-24 34% 12%
25-34 24% 17%
35-44 17% 16%
45-54 13% 19%
55-99 12% 37%
Gender
Panel Count Nat Rep
Female 61% 51%
Male 39% 49%
Household Income
Panel Count
Less than £10,000 17%
£10,000 to £14,999 20%
£15,000 to £19,999 8%
£20,000 to £29,999 15%
£30,000 to £39,999 10%
£40,000 to £49,999 6%
£50,000 to £59,999 4%
£60,000 to £69,999 3%
£70,000 to £79,999 2%
£80,000 to £89,999 1%
£90,000 to £99,999 1%
£100,000 to £149,999 1%
£150,000 to £199,999 0%
£200,000 or more 1%
Prefer not to say 11%
Subtotal selection 100%
Geographic Region
Panel Count
Midlands and Wales 21%
North and Scotland 32%
Northern Ireland 2%
South 45%
According to data from December 2016 +/-17% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Panel CommunitiesMENA
Data pulled April 2017 | 50
Age
Panel Count Nat Rep
18-24 43% -
25-34 37% -
35-44 14% -
45-54 5% -
55-64 1% -
65-99 0% -
Gender
Panel Count
Female 25%
Male 75%
Language
Panel Count
Arabic 93%
English 7%
Egypt Panel Size: 79,100 Language: Arabic Smartphone Penetration: 73%*
Household Income
Panel Count
Low Annual Income 14%
Average Annual Income 37%
High Annual Income 3%
Prefer not to say 46%
Subtotal selection 100%
According to data from December 2016 +/-38% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 51
Age
Panel Count Nat Rep
18-24 41% -
25-34 38% -
35-44 13% -
45-54 6% -
55-64 2% -
65-99 0% -
Gender
Panel Count Nat Rep
Female 63% -
Male 37% -
Language
Panel Count Nat Rep
Arabic 100% -
English 0% -
Morocco Panel Size: 48,800 Language: Arabic
According to data from December 2016 +/-37% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 52
Pakistan
Age
Panel Count Nat Rep
18-24 55% -
25-34 30% -
35-44 9% -
45-54 4% -
55-64 1% -
65-99 0% -
Gender
Panel Count Nat Rep
Female 21% -
Male 79% -
Language
Panel Count Nat Rep
Arabic 0% -
English 100% -
Panel Size: 66,000 Language: Urdu, English
According to data from December 2016 +/-35% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 53
Age
Panel Count Nat Rep
18-24 20% -
25-34 47% -
35-44 22% -
45-54 9% -
55-64 2% -
65-99 0% -
Gender
Panel Count Nat Rep
Female 30% -
Male 70% -
Language
Panel Count Nat Rep
Arabic 86% -
English 14% -
Household Income
Panel Count
Less than 2,000 Riyals 16%
2,001 - 4,000 Riyals 13%
4,001 - 6,000 Riyals 8%
6,001 - 8,000 Riyals 5%
8,001 - 10,000 Riyals 6%
10,001 - 12,000 Riyals 4%
12,001 - 14,000 Riyals 2%
14,001 - 16,000 Riyals 2%
16,001 - 18,000 Riyals 1%
18,001 - 20,000 Riyals 3%
20,001 - 30,000 Riyals 4%
30,001 - 40,000 Riyals 4%
40,001 - 50,000 Riyals 4%
50,001 - 60,000 Riyals 3%
60,001 - 70,000 Riyals 3%
70,001 - 80,000 Riyals 3%
80,001 - 90,000 Riyals 2%
90,001 - 100,000 Riyals 6%
More than 100,000 Riyals 10%
Subtotal selection 100%
Saudi Arabia Panel Size: 79,100 Language: Arabic Smartphone Penetration: 73%*
According to data from December 2016 +/-40% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 54
Age
Panel Count Nat Rep
18-24 9% -
25-34 39% -
35-44 37% -
45-54 12% -
55-64 3% -
65-99 1% -
Gender
Panel Count Nat Rep
Female 40% -
Male 60% -
Language
Panel Count Nat Rep
Arabic 15% -
English 85% -
Household Income
Panel Count
Average annual income 46%
High annual income 5%
Low annual income 13%
Prefer not to say 36%
Subtotal selection 100%
UAE Panel Size: 54,900 Language: Arabic, English Smartphone Penetration: 73%*
According to data from December 2016 +/-50% of respondents complete Toluna
surveys via a mobile device
Panel CommunitiesAPAC
Data pulled April 2017 | 56
Age
Panel Count Nat Rep
18-24 27% 12%
25-34 25% 18%
35-44 16% 18%
45-54 14% 17%
55-99 18% 34%
Gender
Panel Count Nat Rep
Female 61% 50%
Male 39% 50%
Geographic Region
Panel Count
Australian 2% Capital Territory
New 30% South Wales
Northern 1% Territory
Queensland 22%
South Australia 8%
Tasmania 2%
Victoria 25%
Western 10% Australia
Household Income
Panel Count
Less than $30,000 AUD 29%
$30,000 to $39,999 AUD 10%
$40,000 to $49,999 AUD 10%
$50,000 to $59,999 AUD 9%
$60,000 to $69,999 AUD 6%
$70,000 to $79,999 AUD 6%
$80,000 to $89,999 AUD 5%
$90,000 to $99,999 AUD 8%
$100,000 to $129,999 AUD 7%
$130,000 to $159,999 AUD 4%
$160,000 to $199,999 AUD 2%
$200,000 to $249,999 AUD 1%
$250,000 to $300,000 AUD 1%
More than $300,000 AUD 1%
Subtotal selection 100%
Australia
According to data from December 2016 +/-16% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Panel Reach: 224,700 Language: EnglishSmartphone Penetration: 77%*
Data pulled April 2017 | 57
Age
Panel Count Nat Rep
18-24 25% 14%
25-34 45% 20%
35-44 21% 20%
45-54 7% 19%
55-99 3% 27%
Gender
Panel Count Nat Rep
Female 40% 49%
Male 60% 51%
Geographic Region
Panel Count
East China 37%
North China 16%
North East China 11%
South Central China 36%
Household Income
Panel Count
Less than 20’000 CNY 11%
20’000-29’999 CNY 8%
30’000-49’999 CNY 11%
50’000-69’999 CNY 12%
70’000-99’999 CNY 14%
100’000-119’999 CNY 11%
120’000-129’999 CNY 5%
130’000-149’999 CNY 5%
150’000-179’999 CNY 5%
180’000-199’999 CNY 3%
200’000-219’000 CNY 5%
220’000-239’999 CNY 2%
240’000- 269’999CNY 2%
270’000-299’999CNY 2%
300’000 CNY or More 5%
Subtotal selection 100%
China Panel Reach: 1,455,000 Language: Mandarin (Simplified Chinese)Smartphone Penetration: 58%*
According to data from December 2016 +/-4% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 58
Age
Panel Count Nat Rep
18-24 39% 10%
25-34 37% 17%
35-44 16% 18%
45-54 6% 21%
55-99 2% 35%
Gender
Panel Count Nat Rep
Female 61% 55%
Male 39% 45%
Geographic Region
Panel Count
Hong Kong Island 16%
Kowloon 31%
New Territories 51%
Outlying Islands 2%
Household Income
Panel Count
Less than 125 000 HKD 25%
125 000 - 159 999HKD 12%
160 000 - 189 999HKD 7%
190 000 - 254 999 HKD 10%
255 000 - 319 999 HKD 10%
320 000 - 379 999HKD 10%
380 000 - 444 999HKD 7%
445 000 - 508 499HKD 6%
508 500 - 569 999HKD 4%
570 000 - 634 999HKD 3%
635 000 HKD or more 7%
Subtotal selection 100%
Hong Kong Panel Reach: 100,000 Language: Cantonese (Traditional Chinese), EnglishSmartphone Penetration: 83%*
According to data from December 2016 +/-24% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 59
Age
Panel Count Nat Rep
18-24 38% 19%
25-34 41% 24%
35-44 13% 21%
45-54 5% 16%
55-99 3% 19%
Gender
Panel Count Nat Rep
Female 27% 49%
Male 73% 51%
Geographic Region
Panel Count
Mumbai 14%
New Dehlhi 11%
Bangalore 10%
Hyderabad 8%
Chennai 7%
Kolkata 4%
Pune 4%
Ahmedabad 2%
Others 40%
Household Income
Panel Count
Less than Rupee 50,000 12%
Rupee 50,000-80,000 24%
Rupee 80,001-100,000 24%
More than Rupee 100,000 40%
Subtotal selection 100%
India Panel Reach: 307,000 Language: Hindi, EnglishSmartphone Penetration: 77%*
According to data from December 2016 +/-19% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 60
Age
Panel Count Nat Rep
18-24 43% 17%
25-34 36% 23%
35-44 16% 22%
45-54 5% 16%
55-99 1% 21%
Household Income
Panel Count
Less than 1,250,000 IDR 12%
1,250,001 to 1,750,000 IDR 10%
1,750,001 to 2,500,000 IDR 20%
2,500,001 to 4,000,000 IDR 26%
More than 4,000,000 IDR 32%
Subtotal selection 100%
Gender
Panel Count Nat Rep
Female 34% 50%
Male 66% 50%
Indonesia Panel Reach: 185,900 Language: Bahasa IndonesianSmartphone Penetration: 21%*
According to data from December 2016 +/-30% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Geographic Region
Panel Count
Jabodetabek 35%
Bandung 9%
Surabaya 8%
Medan 5%
Semarang 5%
Makassar 2%
Yogyakarta 2%
Others 34%
Data pulled April 2017 | 61
Age
Panel Count Nat Rep
18-24 11% 8%
25-34 22% 14%
35-44 25% 17%
45-54 24% 15%
55-99 20% 47%
Gender
Panel Count Nat Rep
Female 36% 52%
Male 64% 48%
Geographic Region
Panel Count
Kanto 40%
Kinki 19%
Chubu 14%
Kyushu 8%
Tohoku 6%
Chugoku 5%
Hokkaido 5%
Shikoku 2%
Okinawa 1%
Household Income
Panel Count
1,500,000 JPY or less 9%
1,500,001JPY - 3,000,000 JPY 15%
3,000,001JPY - 4,000,000 JPY 15%
4,000,001JPY - 5,000,000 JPY 14%
5,000,001JPY - 6,000,000 JPY 12%
6,000,001JPY - 8,000,000 JPY 14%
8,000,001JPY - 10,000,000 JPY 10%
10,000,001JPY - 13,000,000 JPY 6%
13,000,001JPY - 15,000,000 JPY 2%
15,000,001JPY - 20,000,000 JPY 1%
20,000,001JPY - 25,000,000 JPY 1%
More than 25,000,000 JPY 1%
Subtotal selection 100%
Japan Panel Reach: 342,200 Language: JapaneseSmartphone Penetration: 89%*
According to data from December 2016 +/-13% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 62
Age
Panel Count Nat Rep
18-24 37% 12%
25-34 30% 18%
35-44 20% 20%
45-54 9% 21%
55-99 4% 31%
Gender
Panel Count Nat Rep
Female 49% 51%
Male 51% 49%
Geographic Region
Panel Count
Seoul 26%
Incheon 6% Metropolitan City
Busan 7% Metropolitan City
Gwangju 3% Metropolitan City
Daegu 5% Metropolitan City
Daejeon 3% Metropolitan City
Ulsan 2%
Gangwon-do 2%
Gyeonggi-do 25%
Kyungnam 5%
Gyeongbuk 4%
Jeollanam 2%
Chonbuk 3%
Chungnam 2%
Chungbuk 3%
Jeju 1%
Household Income
Panel Count
Less than 20 million Won 26%
20 to 30 Million Won 19%
30 to 40 Million Won 15%
40 to 50 Million Won 14%
50 to 60 Million Won 9%
60 to 70 Million Won 8%
70 to 80 Million Won 4%
80 to 90 Million Won 2%
90 to 1 Million Won 2%
More than 1 Million Won 3%
Subtotal selection 100%
Korea Panel Reach: 273,600 Language: KoreanSmartphone Penetration: 88%*
According to data from December 2016 +/-14% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 63
Age
Panel Count Nat Rep
18-24 35% 18%
25-34 42% 24%
35-44 16% 21%
45-54 5% 18%
55-99 2% 20%
Gender
Panel Count Nat Rep
Female 58% 50%
Male 42% 50%
Ethnicity
Panel Count
Malay & Bumi 62%
Chinese 29%
Indian & others 9%
Geographic Region
Panel Count
Selangor 26%
Kuala Lumpur 13%
Johor 11%
Sabah 7%
Kedah 5%
Pahang 4%
Perak 7%
Kelantan 4%
Terengganu 3%
Melaka 3%
Sarawak 5%
Negeri Sembilan 4%
Penang 5%
Perlis 1%
Household Income
Panel Count
Less than 2,000 Ringgit 6%
2,000 - 2,999 Ringgit 10%
3,000 - 3,999 Ringgit 19%
4,000 - 5,999 Ringgit 24%
6,000 - 7,999 Ringgit 17%
8,000 - 9,999 Ringgit 12%
10,000 Ringgit or more 12%
Subtotal selection 100%
Malaysia
According to data from December 2016 +/-22% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Panel Reach: 141,900 Language: MalaySmartphone Penetration: 65%*
Data pulled April 2017 | 64
Age
Panel Count Nat Rep
18-24 28% 13%
25-34 22% 17%
35-44 15% 18%
45-54 15% 19%
55-99 20% 34%
Gender
Panel Count Nat Rep
Female 58% 51%
Male 42% 49%
Geographic Region
Panel Count
Auckland 37%
Wellington/Manawatu 15%
Canterbury/West Coast 11%
Waikato 9%
Bay of Plenty 7%
Otago/Southland 7%
Taranaki/Wanganui 4%
Hawkes Bay 4%
Nelson/Marlborough 3%
Northland 3%
Gisborne 1%
Household Income
Panel Count
Less than $20,000 NZD 20%
$20,000 to $30,000 NZD 15%
$30,000 to $40,000 NZD 11%
$40,000 to $50,000 NZD 11%
$50,000 to $60,000 NZD 9%
$60,000 to $70,000 NZD 10%
$70,000 to$ 80,000 NZD 5%
$80,000 to $90,000 NZD 4%
$90,000 to $100,000 NZD 4%
$100,000 to $150,000 NZD 7%
More than $150,000 NZD 3%
Subtotal selection 100%
New Zealand
According to data from December 2016 +/-24% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Panel Reach: 67,800 Language: English, Māori, New Zealand Sign LanguageSmartphone Penetration: 87%*
Data pulled April 2017 | 65
Age
Panel Count Nat Rep
18-24 30% 22%
25-34 43% 25%
35-44 17% 21%
45-54 6% 15%
55-99 4% 17%
Gender
Panel Count Nat Rep
Female 67% 50%
Male 33% 50%
Geographic Region
Panel Count
Metro Manila 23%
Luzon 50%
Visayas 14%
Mindanao 13%
Household Income
Panel Count
Less than $20,000 PHP 22%
$20,000 to $29,999 PHP 16%
$30,000 to $39,999 PHP 14%
$40,000 to $49,999 PHP 11%
$50,000 to $79,999 PHP 18%
$80,000 to $119,999 PHP 11%
More than $120,000 PHP 8%
Subtotal selection 100%
Philippines Panel Reach: 150,000 Language: Filipino, EnglishSmartphone Penetration: 22%*
*Data pulled from 2015 rankings
According to data from December 2016 +/-25% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 66
Age
Panel Count Nat Rep
18-24 21% 17%
25-34 32% 26%
35-44 22% 19%
45-54 13% 16%
55-99 12% 22%
Gender
Panel Count Nat Rep
Female 53% 51%
Male 47% 49%
Ethnicity
Panel Count
Chinese 73%
Malay 13%
Indian & others 14%
Citizenship Status
Panel Count
I am a citizen 84.5% of the country
I am a permanent 11% resident of the country
I am a non-resident 4.5% with a working visa
Household Income
Panel Count
Less than 3,000 SGD 10%
3,000 to 3,999 SGD 10%
4,000 to 5,999 SGD 16%
6,000 to 7,999 SGD 20%
8,000 to 9,999 SGD 13%
10,000 to 11,999 SGD 12%
12,000 to 14,999 SGD 10%
15,000 SGD or more 9%
Subtotal selection 100%
Singapore
According to data from December 2016 +/-21% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Panel Reach: 105,000 Language: English, Mandarin, Malay, TamilSmartphone Penetration: 90%*
Data pulled April 2017 | 67
Age
Panel Count Nat Rep
18-24 18% 14%
25-34 33% 20%
35-44 30% 20%
45-54 15% 20%
55-99 4% 26%
Gender
Panel Count
Female 58%
Male 42%
Household Income
Panel Count
Below 180.000 NTD 12%
180.000 - 269.999 NTD 9%
270.000 - 314.999 NTD 8%
315.000 - 429.999 NTD 8%
430.000 - 539.999 NTD 8%
540.000 - 674.999 NTD 8%
675.000 - 809.999 NTD 9%
810.000 - 1.099.999 NTD 8%
1.100.000 - 1.349.999 NTD 9%
1.350.000 - 1.619.999 NTD 5%
1.620.000 - 1.899.999 NTD 5%
1.900.000 - 2.159.999 NTD 4%
2.160.000 - 2.429.999 NTD 2%
2.430.000 - 2.699.999 NTD 1%
2.700.000 NTD or more 4%
Subtotal selection 100%
Taiwan
*Our reach includes our growing Toluna panel plus our trusted partner in this market
Panel Reach: 113,000* Language: Mandarin (Traditional Chinese)Smartphone Penetration: 83%*
*Data pulled from 2015 rankings
Geographic Region
Panel Count
Taipei 39%
Taichung 13%
Kaohsiung 12%
Taoyuan 9%
Tainan 7%
Others 20%
According to data from December 2016 +/-52% of respondents complete Toluna
surveys via a mobile device
Data pulled April 2017 | 68
Age
Panel Count Nat Rep
18-24 39% 14%
25-34 35% 20%
35-44 18% 21%
45-54 6% 20%
55-99 2% 26%
Gender
Panel Count Nat Rep
Female 63% 51%
Male 37% 49%
Geographic Region
Panel Count
Greater Bangkok 40%
Central (incl. East & West) 19%
Northeastern 18%
Northern 14%
Southern 9%
Household Income
Panel Count
Less than 20,000 Baht 17%
20,000 - 29,999 Baht 12%
30,000 - 39,999 Baht 13%
40,000 - 49,999 Baht 10%
50,000 - 59,999 Baht 17%
60,000 - 79,999 Baht 13%
80,000 - 99,999 Baht 8%
100,000 Baht or more 10%
Subtotal selection 100%
Thailand Panel Reach: 136,400 Language: ThaiSmartphone Penetration: 40%*
According to data from December 2016 +/-22% of respondents complete Toluna
surveys via a mobile device*Data pulled from 2015 rankings
Data pulled April 2017 | 69
Vietnam
Age
Panel Count Nat Rep
18-24 59% 19%
25-34 35% 21%
35-44 5% 21%
45-54 1% 21%
55-99 0% 18%
Gender
Panel Count
Female 60%
Male 40%
Geographic Region
Panel Count
Ho Chi Minh 48%
Hanoi 22%
Da Nang 5%
Others 25%
Household Income
Panel Count
Less than 54,000,000 VND 21%
54,000,000 - 90,000,000 VND 23%
90,000,000 - 180,000,000 VND 35%
180,000,000 VND or more 21%
Subtotal selection 100%
Panel Reach: 133,800 Language: VietnameseSmartphone Penetration: 36%*
*Data pulled from 2015 rankings
Example profile data gathered by Toluna2017
Geographically customized U.S.A. only
71
AutomotiveNumber of Cars in your household
Main car you drive - Year
Main car you drive - Make
Main car you drive - Model
Main car you drive - Style
Main car you drive - Own or lease
Main car you drive - Year purchased
Main car you drive - Purchased new or secondhand
Main car you drive - Fuel
Main car you drive - Owner
Second car in household - Year
Second car in household - Make
Second car in household - Model
Second car in household - Style
Second car in household - Own or lease
Second car in household - Year purchased
Second car in household - Purchased new or secondhand
Second car in household - Fuel
Second car in household - Owner
Car maintenance decision maker
Next car - Purchase date
Next car - New or secondhand
Next car - Price
Next car - Make
Next car - Style
Other vehicles own or plan to buy in next 12 months - Own
Other vehicles own or plan to buy in next 12 months - Plan to buy
Scooter - Make
Scooter - Engine size
Motorbike - Make
Motorbike - Engine size
Brand of Tires
Average Annual Mileage
BasicFirst Name
Last Name
Gender
Birthdate
Address1
Address2
City
Postal Code Validation
Race
Education
Income
Number of people living in the household
Children Under 18
Primary grocery shopper
Work Position
Ethnicity
Citizenship Status
Social grade
Language
Geographically customized U.S.A. only
72
B2BEmployment status
Students - Academic discipline
Sector where you work
Type of firm you work for
Main sector of activity of your company
Specific area of manufacturing worked in
Specific area of retailing worked in
Specific area of the public sector worked in
Department worked in
IT areas involved in
Position in the company
Number of employees in your office
Number of total employees in your company
Number of computers your organization uses globally
Company revenue globally
Approximate yearly global turnover of your organization
Number of people you manage
Decision Maker, Influencer or None - Advertising/Marketing
Decision Maker, Influencer or None - Computer hardware
Decision Maker, Influencer or None - Computer networks
Decision Maker, Influencer or None - Employe benefits/Mutual insurance
Decision Maker, Influencer or None - Finance
Decision Maker, Influencer or None - General office supplies
Decision Maker, Influencer or None - Human resources
Decision Maker, Influencer or None - IT
Decision Maker, Influencer or None - IT + Telecom
Decision Maker, Influencer or None - Logistics/Strategic planning
Decision Maker, Influencer or None - Manufacturing/Production
Decision Maker, Influencer or None - Motor pool
Decision Maker, Influencer or None - Shipping/Mail services
Decision Maker, Influencer or None - Software/Application development
Decision Maker, Influencer or None - Telecommunications/Mobile
Decision Maker, Influencer or None - Travel and transport arrangements
What year did you start working for your current organization
Do you work in a company office or remote/from home
Days per week working from home
Brand of laptop used for business purposes
Brand of desktop computer used for business purposes
Brand of smartphone used for business purposes
Types of business software used
IT professional role
Do you work in a structured team with other IT professionals
Number of people you manage
Size of the budget you control
Number of business trips made in the last year
BeautyLuxury products purchased in last 12 months
Personal care products used at least once per week
Types of stores where personal care products are purchased
Store chains shopped at
FinanceFinancial Institutions where you have an account
Credit cards - Personal
Credit cards - Business
Loan types
Financial assets owned
Permanent overdraft/revolving credit access
Financial decision maker in household
Mortgage loan types
Stocks/bonds securities owned
Security trades made in the last 12 months
Investable assets amount
Liquid asset level
Geographically customized U.S.A. only
73
HealthHealthcare insurance provider
Health and medical areas that affect you
Health and medical areas that affect someone in your household
Health and medical areas that you provide care for
Allergies
Food allergies
Breathing and respiratory conditions
Cancer conditions
Diabetes types
Insulin types
Insulin frequency
Digestive conditions
Eye/Ear/Nose/Throat conditions
Heart/Blood conditions
Immunological conditions
Men’s health conditions
Mental health and behavior conditions
Neurological/Brain-related conditions
Bone/Joint/Muscle conditions
Physical appearance conditions
Sexual health conditions
Skin conditions
Sleep conditions
Weight conditions
Women’s health conditions
Medical devices you use
Medical devices used by someone in your household
Medical devices used by someone you provide care for
Vision/Eye conditions
Home & Family Main salary earner in the household
Education level of main salary earner, if not you
Does the main salary earner currently work
Does the main salary earner currently work more than 35 hours per week
Position of main salary earner, if not you
Qualifications required for main salary earner’s job
Main salary earner number of coworkers
Reason for main salary earner not currently working
Main salary earner last job
Medical coverage
Monthly net income - you
Number of people with income in the household
Estimated household yearly income
Marital Status
Children Date of Birth (up to 10)
Children Gender (up to 10)
Expecting a baby in the household
Expecting a baby - gender
Surveys for new parents
Pregnancy planning in the next 3 months
City population
Residential status
Date of plans to move to a new residence
Secondary residence or vacation home owned
Number of rooms in the home
Number of bathrooms in the home
Number of bathrooms with functioning shower in the home
Number of lights in the home
Type of flooring in the home
Type of heating in the home
Number of dogs in household
Number of cats in household
Number of other pets in household
(Continued over)
Geographically customized U.S.A. only
74
Medical ProfessionalsAge
Gender
Graduation Year
MD/DO
ICD9 data
Prescribing behavior
Primary & secondary areas of specialty
Empanelled
Type of Practice
Type of Physician
Health and Medical Areas
Non-Physician Specialties
Internet Internet service provider at home
Internet connection speed at home
Places where you access the internet
Internet usage frequency - business purposes
Internet usage frequency - personal purposes
Computer systems you own in the next 12 months
Computer systems you plan to buy in the next 12 months
Frequency of online shopping done in the last 12 months
Items purchased online in the last 12 months
Online payment methods used
Online social network websites
Online social network frequency
Phone usage while on the internet
Subscribe to computer/internet/gaming magazines
Home & Family (continued) Number of cars at home
Additional languages spoken
Ethnic heritage
Do you own in your home:
Cable or Satellite TV, Clothes dryer, Color television, Computer,
Dishwasher, Freezer, Full-time domestic staff, Gas stove,
Internet connection, Lavatory, Microwave, Motorcycle,
Private car, Radio, Refrigerator, Video camera,
Video/DVD player, Washing machine
**Canada questions
**Australia questions
Geographically customized U.S.A. only
75
Mobile PhoneMobile phone service provider - personal
Mobile phone brand - personal
Mobile phone smartphone - personal
Moble operating system - personal
Mobile usage description - personal
Plan to change provider - personal
Mobile phone contract type - personal
Mobile phone monthly bill amount - personal
How long have you had your mobile phone - personal
How did you acquire your mobile phone - personal
What features does your mobile phone have - personal
Features used more than once per month on mobile phone - personal
Frequency surfing the internet on mobile - personal
Reasons for using mobile device for internet
Frequency of taking photos using mobile phone - personal
Number of text messages sent - personal
Do you play games on your mobile phone
Mobile phone decision maker - business
Mobile phone service provider - business
Mobile phone brand - business
Mobile phone smartphone - business
Moble operating system - business
Plan to change provider - business
Mobile phone contract type - business
Mobile phone monthly bill amount - business
What features does your mobile phone have - business
Number of mobile phones provided to employees by your company
Does your company pay for mobile phone expenses
Interested in taking mobile phone surveys?
Willing to download a Smartphone app for the purpose of completing
mobile surveys?
Mobile phone number
Is your mobile phone your only phone, or do you also have a landline
Media Hours spent per day watching TV - week day
Hours spent per day listening to the radio - week day
Hours spent per day reading magazines - week day
Hours spent per day reading newspapers - week day
Hours spent per day watching TV - weekend
Hours spent per day listening to the radio - weekend
Hours spent per day reading magazines - weekend
Hours spent per day reading newspapers - weekend
TV services
Cable/Satellite provider
Television networks watched
Number of TVs in the house
Frequency of playing video games
Frequence of attending the cinema/movies
Movie types enjoyed
Magazine types
Newspapers regularly read
Magazines regularly read
Website types
Media technology devices
Cinema membership card
Time slots during weekdays listening to the radio
Time slots during weekend days listening to the radio
Radio stations listened to
Radio stations listened to online
Podcast user
Number of podcasts downloaded per month
Type of magazines subscribed:
Celebrity, Economics/business/news, Free press, Health,
Home & Garden, Men’s Lifestyle, Motoring, Music/movie/cultural,
Parenting, Science & Nature, Sports, TV
Newspapers subscribed
Geographically customized U.S.A. only
76
Shopping Frequency of shopping for groceries
Type of products purchased when shopping for groceries
Location for purchasing organic products
Type of store where you buy groceries
Main supermarket where you shop
Other supermarkets where you shop
Main online supermarkets where you shop
Other online supermarkets where you shop
Online supermarkets purchased from in the past 6 months
Alcohol types you’ve drank in the past 6 months
Alcohol brands you’ve drank in the past 6 months
Types of beer you drink
Beer brands
Do you smoke?
Which brand of cigarettes do you usually smoke?
Are you currently on a diet or have you been in the last 6 months?
Frequency of going to restaurants for lunch
Frequency of going to restaurants for dinner
Frequency of going to bars/coffee shops
Frequency of going out clubbing/dancing
Frequency of buying take-out food for lunch
Frequency of buying take-out food for dinner
Frequency of going to fast-food restaurants
Frequency of cooking meals at home
Fast Food restaurants visited in the last 3 months
Types of stores shopped at in the last 6 months
Wholesale warehouses shopped at in the last 6 months
Stores where you purchase glasses or contact lenses
Retailer loyalty program member
Products purchased in the past 6 months
Brands purchased in the past 6 months
On a diet in the last 6 months
Sports Sports played
Do you have a gym membership?
Frequency of practicing sports
Sports watched on TV
Hobbies/Interests
Type of online gambling activities engaged in
Type of offline gambling activities engaged in
Geographically customized U.S.A. only
77
TravelTravel abroad in the past 12 months - Leisure
Travel abroad in the past 12 months - Business
Take a plane when travelling abroad in last 12 months - Leisure
Take a train when travelling abroad in last 12 months - Leisure
Rent a car when travelling abroad in last 12 months - Leisure
Stay in a hotel when travelling abroad in last 12 months - Leisure
Travel destinations in last 12 months - Leisure
Travel websites used to book trips abroad in past 12 months - Leisure
Airline companies used in past 12 months - Leisure
Airline class - Leisure
Hotel category - Leisure
Taken a cruise in the last 2 years - Leisure
Disney parks you plan to visit in the next 12 months
Take a plane when travelling abroad in last 12 months - Business
Take a train when travelling abroad in last 12 months - Business
Rent a car when travelling abroad in last 12 months - Business
Stay in a hotel when travelling abroad in last 12 months - Business
Travel destinations in last 12 months - Business
Travel websites used to book trips abroad in past 12 months - Business
Airline companies used in past 12 months - Business
Airline class - Business
Hotel category - Business
Countries visited
Who books business trips
Loyalty programs for travel
Car rental companies
Do you prefer all inclusive deals for travel
Video GamesGame systems you own
How often do you play per week
On average, how many hours per week do you play?
Type of game systems played
Do you play video games online?
Who else in the household plays video games?
Game systems used by other members of household
Intention to buy a game console in next 12 months
Which system do you intend to buy in the next 12 months?
78
21 Offices Worldwide | Get In TouchNorth America Wilton, CT (NA Headquarters) +1 203 834 8585 Dallas, TX +1 972 732 7323 North Andover, MA +1 978 983 2500 Toronto, Canada + 1 416 733 7562 South America Sao Paulo, Brazil +55 11 35871385
EMEA Paris, France (Global Headquarters) +33 (0) 1 40 89 71 00 London, UK +44 (0) 20 8832 1700 Milan, Italy +39 02 58215321 Amsterdam, Netherlands +31 (0)20 846 67 43 Frankfurt, Germany +49(0) 69 8700 199-00 Madrid, Spain +34 91 436 73 90 Timisoara, Romania +40 256 406 900
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APAC Sydney, Australia +61 2 8249 1927 Gurgaon, India +91 124 412 6700 Hong Kong +852 3512 0600 Kuala Lumpur, Malaysia +603 2202 0872 Seoul, South Korea +82-2-6004-1342 Singapore +65 6817 3788 Tokyo, Japan +81 3 5459-1067
Toronto,Canada
Wilton,CT, USA
North Andover,MA, USA
Dallas, TX, USA
London,UK
Paris,France
Madrid, Spain
Milan,Italy
Amsterdam,Netherlands
Frankfurt,Germany
Kuala Lumpur,Malaysia
Haifa,Israel
Timisoara,Romania
Dubai
Gurgaon, India
Singapore
Hong Kong
Soeul,Korea
Tokyo,Japan
Sydney,Australia
Sao Paolo, Brazil
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