panelbook 2017 - toluna-group.com · 28 000 to 32 999 brl 2% 33 000 to 36 999 brl 2% 37 000 to 41...

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.


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


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


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


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%



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


Socio Economic Level

Percentages

AB 27%

C+ 27%

C+ 19%

C- 14%

D+ 8%

D+ 5%

E -


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%



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%*



Ethnicity

Panel Count

Hispanic 14%

Panel CommunitiesSouth America


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%






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%



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%*



Socio Economic Level

Percentages

A 10%

B1 12%

B2 31%

C1 26%

C2 16%

D-E 5%


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%




surveys via a mobile device

Chile Panel Size: 155,000 Language: Spanish


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%



Colombia Panel Size: 176,600 Language: Spanish




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







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%




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%



Peru Panel Size: 7,600 Language: Spanish




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




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






Panel CommunitiesEMEA


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%



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%*




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


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%




Belgium

Geographic Region

Panel Count

Center 10%

North 56%

South 34%

Panel Size: 98,300 Language: Dutch, French, GermanSmartphone Penetration: 34%*




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






Gender

Panel Count

Female 61%

Male 39%


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%


Czech Republic Panel Size: 29,500 Language: CzechSmartphone Penetration: 42%*




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%



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%*




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


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%




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%*




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


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%




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%*




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


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%




Germany

Geographic Region

Panel Count

East 27%

Middle 13%

North 16%

South 21%

West 23%

Panel Size: 549,500 Language: GermanSmartphone Penetration: 40%*




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


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%




Greece Panel Size: 31,600 Language: GreekSmartphone Penetration: 33%*




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






*Data pulled from 2015 rankings




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


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%




Ireland Panel Size: 43,900 Language: Irish Gaelic, EnglishSmartphone Penetration: 57%*




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


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%




Italy

Geographic Region

Panel Count

Centre 19%

North East 15%

North West 28%

South 38%

Panel Size: 222,000 Language: ItalianSmartphone Penetration: 41%*




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





Latvia Panel Size: 10,000 Language: Latvian


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





Lithuania Panel Size: 5,800 Language: Lithuanian


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


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%




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%*




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%






Nigeria Panel Size: 29,000 Language: English


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%



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%*




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%



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%*




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


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%



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%*




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%




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%






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





Slovakia Panel Size: 8,000 Language: SlovakSmartphone Penetration: -



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%













500,000 South African Rands or more 5%



South Africa Panel Size: 82,400 Languages: Afrikaans, English, Ndebele, Northern Sotho,Sotho, Swazi, Tswana, Tsonga, Venda, Xhosa and ZuluSmartphone Penetration: 40%*




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


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%




Geographic Region

Panel Count

EST 32%

NORTE 15%

OUEST 8%

SUD 45%




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%



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%




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%



Geographic Region

Panel Count

Central 7%

East 11%

Lemanique Region 32%

Midlands 24%

NorthWest 11%

Principality of 0% Liechtenstein

Ticino 1%

Zurich 14%




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%





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%





Gender

Panel Count Nat Rep

Female 52% 55%

Male 48% 45%


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%



Geographic Region

Panel Count

Midlands and Wales 21%

North and Scotland 32%

Northern Ireland 2%

South 45%



Panel CommunitiesMENA


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









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




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




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%


Saudi Arabia Panel Size: 79,100 Language: Arabic Smartphone Penetration: 73%*




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






UAE Panel Size: 54,900 Language: Arabic, English Smartphone Penetration: 73%*



Panel CommunitiesAPAC


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%


Australia



Panel Reach: 224,700 Language: EnglishSmartphone Penetration: 77%*


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%


China Panel Reach: 1,455,000 Language: Mandarin (Simplified Chinese)Smartphone Penetration: 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%


Hong Kong Panel Reach: 100,000 Language: Cantonese (Traditional Chinese), EnglishSmartphone Penetration: 83%*




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%


India Panel Reach: 307,000 Language: Hindi, EnglishSmartphone Penetration: 77%*




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%


Gender

Panel Count Nat Rep

Female 34% 50%

Male 66% 50%

Indonesia Panel Reach: 185,900 Language: Bahasa IndonesianSmartphone Penetration: 21%*



Geographic Region

Panel Count

Jabodetabek 35%

Bandung 9%

Surabaya 8%

Medan 5%

Semarang 5%

Makassar 2%

Yogyakarta 2%

Others 34%


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%


Japan Panel Reach: 342,200 Language: JapaneseSmartphone Penetration: 89%*




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%








More than 1 Million Won 3%


Korea Panel Reach: 273,600 Language: KoreanSmartphone Penetration: 88%*




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%


Malaysia



Panel Reach: 141,900 Language: MalaySmartphone Penetration: 65%*


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%


New Zealand



Panel Reach: 67,800 Language: English, Māori, New Zealand Sign LanguageSmartphone Penetration: 87%*


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%


Philippines Panel Reach: 150,000 Language: Filipino, EnglishSmartphone Penetration: 22%*





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%


Singapore



Panel Reach: 105,000 Language: English, Mandarin, Malay, TamilSmartphone Penetration: 90%*


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%


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%*


Geographic Region

Panel Count

Taipei 39%

Taichung 13%

Kaohsiung 12%

Taoyuan 9%

Tainan 7%

Others 20%




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%


Thailand Panel Reach: 136,400 Language: ThaiSmartphone Penetration: 40%*




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%


Panel Reach: 133,800 Language: VietnameseSmartphone Penetration: 36%*


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

Email

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


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


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)


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


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


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


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

MENA Haifa, Israel +972 4 8501586 Dubai, UAE +971 (4) 428 0992

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

panelbook 2017 - toluna-group.com · 28 000 to 32 999 brl 2% 33 000 to 36 999 brl 2% 37 000 to 41...

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