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Toluna Global Panelbook 2016
- 2. +/- 10 Million Total Members EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA: 3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members South America: 1.5+ Million Members EMEA: 3+ Million Members North America: 2+ Million Members APAC: 3+ Million Members Toluna Panel in 59 Countries The Americas Argentina 104,300 Brazil 646,800 Canada 198,500 Chile 94,500 Colombia* 113,200 Ecuador 16,400 Mexico 306,700 Paraguay 3,400 Peru 53,300 United States 1,706,700 Uruguay 6,900 Venezuela 72,000 EMEA Austria 19,000 Belgium 77,000 Bulgaria 9,500 Czech Republic 23,000 Denmark 27,000 Egypt* 7,700 Finland 20,300 France 435,500 Germany 322,500 Greece 29,000 Hungary* 31,900 Ireland 23,200 Italy 222,000 Latvia 6,500 Lithuania 8,100 Netherlands 114,000 Nigeria 1,300 Norway 20,500 Poland 73,000 Portugal 30,000 Romania 42,500 Russian Federation 322,400 Saudi Arabia* 1,300 Slovakia 5,900 South Africa 41,500 Spain 250,000 Sweden 51,800 Switzerland 19,000 Turkey 103,200 UAE* 1,500 Ukraine 35,300 United Kingdom 580,000 APAC Australia 114,000 China 1,245,000 Hong Kong 230,000 India 307,000 Indonesia 137,000 Japan 258,000 Korea 213,000 Malaysia 98,000 New Zealand 23,000 Pakistan* 4,000 Philippines 159,000 Singapore 42,000 Taiwan* 113,000 Thailand 121,000 Vietnam 82,000 *Toluna.com community launch pending Data pulled July 2016 | 2
- 3. Toluna Partners in 72 Countries The Americas Anguilla Antigua and Barbuda Barbados Bolivia British Virgin Islands Cayman Islands Costa Rica Cuba Dominican Republic El Salvador Grenada Guatemala Guyana Haiti Honduras Jamaica Montserrat Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent Grenadines Suriname Trinidad and Tobago Turks and Caicos EMEA Algeria Bahrain Belarus Benin Burkina Faso Burundi Cameroon Central African Republic Congo Croatia Cyprus Estonia Ghana Guinea Guinea Bissau Iraq Ivory Coast Jordan Kazakhstan Kenya Kuwait Lebanon Liberia Madagascar Mali Morocco Mozambique Niger Oman Palestine Qatar Rwanda Senegal Slovenia Somalia Sudan Swaziland Syria Tanzania Uganda Yemen Zambia Zimbabwe APAC Bangladesh Cambodia Fiji Laos Nepal Sri Lanka +/- 10 Million Total Members EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA: 3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members South America: 1.5+ Million Members EMEA: 3+ Million Members North America: 2+ Million Members APAC: 3+ Million Members Data pulled July 2016 | 3
- 5. Data pulled July 2016 | 5 Argentina Panel Size: 104,300 Language: Spanish Smartphone 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 April 2016 +/-28% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 6. Data pulled July 2016 | 6 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: 646,800 Language: Portuguese Smartphone Penetration: 26%* According to data from April 2016 +/-21% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 7. Data pulled July 2016 | 7 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: 198,500 Language: English, French Smartphone Penetration: 56%* According to data from April 2016 +/-20% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 8. Data pulled July 2016 | 8 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 April 2016 +/-25% of respondents complete Toluna surveys via a mobile device Chile Panel Size: 94,500 Language: Spanish
- 9. Data pulled July 2016 | 9 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: 113,200 Language: Spanish
- 10. Data pulled July 2016 | 10 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: 16,400 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%
- 11. Data pulled July 2016 | 11 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: 306,700 Language: Spanish Smartphone Penetration: 37%* According to data from April 2016 +/-34% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 12. Data pulled July 2016 | 12 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: 3,400 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%
- 13. Data pulled July 2016 | 13 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: 53,300 Language: Spanish According to data from April 2016 +/-24% of respondents complete Toluna surveys via a mobile device
- 14. Data pulled July 2016 | 14 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 Ethnicity 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 Ethnicity 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: 1,706,700 Language: English Smartphone Penetration: 56%* According to data from April 2016 +/-22% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 15. Data pulled July 2016 | 15 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: 6,900 Language: Spanish Household Income Panel Count Prefer not to say 100% Subtotal selection 100%
- 16. Data pulled July 2016 | 16 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: 72,000 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%
- 18. Data pulled July 2016 | 18 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: 19,000 Language: German Smartphone Penetration: 48%* According to data from April 2016 +/-20% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 19. Data pulled July 2016 | 19 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: 77,000 Language: Dutch, French, German Smartphone Penetration: 34%* According to data from April 2016 +/-18% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 20. Data pulled July 2016 | 20 Bulgaria Panel Size: 9,500 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%
- 21. Data pulled July 2016 | 21 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: 23,000 Language: Czech Smartphone Penetration: 42%* According to data from April 2016 +/-6% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 22. Data pulled July 2016 | 22 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: 27,000 Language: Danish Smartphone Penetration: 59%* According to data from April 2016 +/-25% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 23. Data pulled July 2016 | 23 Age Panel Count Nat Rep 18-24 23% 22% 25-34 41% 20% 35-44 21% 20% 45-54 10% 20% 55-99 5% 18% Gender Panel Count Female 15% Male 85% Egypt Panel Size: 7,700 Language: Arabic Household Income Panel Count Low Annual Income 14% Average Annual Income 37% High Annual Income 3% Prefer not to say 46% Subtotal selection 100%
- 24. Data pulled July 2016 | 24 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: 20,300 Language: Finnish Smartphone Penetration: 46%* According to data from April 2016 +/-21% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 25. Data pulled July 2016 | 25 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: 435,500 Language: French Smartphone Penetration: 42%* According to data from April 2016 +/-13% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 26. Data pulled July 2016 | 26 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: 322,500 Language: German Smartphone Penetration: 40%* According to data from April 2016 +/-17% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 27. Data pulled July 2016 | 27 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: 29,000 Language: Greek Smartphone Penetration: 33%* According to data from April 2016 +/-23% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 28. Data pulled July 2016 | 28 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: 31,900 Language: Hungarian Smartphone 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
- 29. Data pulled July 2016 | 29 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: 23,200 Language: Irish Gaelic, English Smartphone Penetration: 57%* According to data from April 2016 +/-33% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 30. Data pulled July 2016 | 30 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: Italian Smartphone Penetration: 41%* According to data from April 2016 +/-22% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 31. Data pulled July 2016 | 31 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: 6,500 Language: Latvian
- 32. Data pulled July 2016 | 32 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: 8,100 Language: Lithuanian
- 33. Data pulled July 2016 | 33 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: 114,000 Language: Dutch Smartphone Penetration: 52%* According to data from April 2016 +/-20% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 34. Data pulled July 2016 | 34 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: 1,300 Language: English
- 35. Data pulled July 2016 | 35 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: 20,500 Language: Norwegian Smartphone Penetration: 68%* According to data from April 2016 +/-32% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 36. Data pulled July 2016 | 36 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: 73,000 Language: Polish Smartphone Penetration: 35%* According to data from April 2016 +/-7% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 37. Data pulled July 2016 | 37 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: 30,000 Language: Portuguese Smartphone Penetration: 32%* According to data from April 2016 +/-18% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 38. Data pulled July 2016 | 38 Romania Panel Size: 42,500 Language: Romanian Smartphone 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
- 39. Data pulled July 2016 | 39 Russian Federation Panel Size: 322,400 Language: Russian Smartphone 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 April 2016 +/-11% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 40. Data pulled July 2016 | 40 Age Panel Count Nat Rep 18-24 14% 21% 25-34 52% 32% 35-44 23% 23% 45-54 8% 13% 55-99 3% 11% Gender Panel Count Nat Rep Female 17% 44% Male 83% 56% 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: 1,300 Language: Arabic
- 41. Data pulled July 2016 | 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: 5,900 Language: Slovak Smartphone Penetration: - *Data pulled from 2015 rankings
- 42. Data pulled July 2016 | 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: 41,500 Languages:Afrikaans, English, Ndebele, Northern Sotho, Sotho, Swazi, Tswana, Tsonga, Venda, Xhosa and Zulu Smartphone Penetration: 40%* According to data from April 2016 +/-30% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 43. Data pulled July 2016 | 43 Spain Panel Size: 250,000 Language: Spanish Smartphone 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 April 2016 +/-20% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 44. Data pulled July 2016 | 44 Sweden Panel Size: 51,800 Language: Swedish Smartphone 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 April 2016 +/-25% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 45. Data pulled July 2016 | 45 Switzerland Panel Size: 19,000 Language: German, French, Italian, Romansh Smartphone 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 April 2016 +/-26% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 46. Data pulled July 2016 | 46 Turkey Panel Size: 103,200 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 April 2016 +/-26% of respondents complete Toluna surveys via a mobile device
- 47. Data pulled July 2016 | 47 Age Panel Count Nat Rep 18-24 15% 14% 25-34 57% 39% 35-44 21% 28% 45-54 6% 13% 55+ 1% 5% Gender Panel Count Nat Rep Female 24% 26% Male 76% 74% 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: 1,500 Language: Arabic
- 48. Data pulled July 2016 | 48 Ukraine Panel Size: 35,300 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%
- 49. Data pulled July 2016 | 49 United Kingdom Panel Size: 580,000 Language: English Smartphone 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 April 2016 +/-25% of respondents complete Toluna surveys via a mobile device *Data pulled from 2015 rankings
- 51. Data pulled July 2016 | 51 Age Panel Count Nat Rep 18-24 27% 12% 25-34 24% 18% 35-44 17% 18% 45-54 14% 17% 55-99 18% 34% Gender Panel Count Nat Rep Female 62% 50% Male 38% 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 25% $30,000 to $39,999 AUD 9% $40,000 to $49,999 AUD 8% $50,000 to $59,999 AUD 8% $60,000 to $69,999 AUD 7% $70,000 to $79,999 AUD 5% $80,000 to $89,999 AUD 4% $90,000 to $99,999 AUD 4% $100,000 to $129,999 AUD 6% $130,000 to $159,999 AUD 3% $160,000 to $199,999 AUD 1% $200,000 to $249,999 AUD 1% $250,000 to $300,000 AUD 1% $300,000 AUD or more 1% Prefer not to say 17% Subtotal selection 100% Australia According to data from April 2016 +/-18% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report Panel Reach: 113,000 Language: English Smartphone Penetration: 77%*
- 52. Data pulled July 2016 | 52 Age Panel Count Nat Rep 18-24 28% 14% 25-34 44% 20% 35-44 20% 20% 45-54 6% 19% 55-99 2% 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 14% 20’000 to 29’999 CNY 6% 30’000 to 49’999 CNY 9% 50’000 to 69’999 CNY 11% 70’000 to 99’999 CNY 8% 100’000 to 119’999 CNY 7% 120’000 to 129’999 CNY 3% 130’000 to 149’999 CNY 3% 150’000 to 179’999 CNY 3% 180’000 to 199’999 CNY 2% 200’000 to 219’000 CNY 3% 220’000 to 239’999 CNY 1% 240’000 to 269’999 CNY 2% 270’000 to 299’999 CNY 1% 300’000 CNY or more 3% Prefer not to say 24% Subtotal selection 100% China Panel Reach: 1,455,000 Language: Mandarin (Simplified Chinese) Smartphone Penetration: 58%* According to data from April 2016 +/-7% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
- 53. Data pulled July 2016 | 53 Age Panel Count Nat Rep 18-24 39% 9% 25-34 37% 16% 35-44 16% 18% 45-54 6% 23% 55-99 2% 33% Gender Panel Count Nat Rep Female 57% 55% Male 43% 45% Geographic Region Panel Count Hong Kong Island 15% Kowloon 31% New Territories 51% Outlying Islands 3% Household Income Panel Count Less than 125 000 HKD 13% 125 000 to 159 999 HKD 7% 160 000 to 189 999 HKD 4% 190 000 to 254 999 HKD 8% 255 000 to 319 999 HKD 8% 320 000 to 379 999 HKD 8% 380 000 to 444 999 HKD 6% 445 000 to 508 499 HKD 8% 508 500 to 569 999 HKD 5% 570 000 to 634 999 HKD 6% 635 000 HKD or more 14% Prefer not to say 13% Subtotal selection 100% Hong Kong Panel Reach: 100,000 Language: Cantonese (Traditional Chinese), English Smartphone Penetration: 83%* According to data from April 2016 +/-29% of respondents complete Toluna surveys via a mobile device * Census and Statistics Department, Hong Kong Government
- 54. Data pulled July 2016 | 54 Age Panel Count Nat Rep 18-24 39% 19% 25-34 40% 24% 35-44 13% 21% 45-54 5% 16% 55-99 3% 19% Gender Panel Count Nat Rep Female 26% 49% Male 74% 51% Geographic Region Panel Count Eastern India 9% North India 18% North Central 13% North Eastern 2% Southern India 37% Western 21% Household Income Panel Count Less than Rs 30,000 13% Rs 30,000 to Rs 49,999 8% Rs 50,000 to Rs 99,9999 8% Rs 1,00,000 to Rs 1,49,999 9% Rs 1,50,000 to Rs 1,99,999 7% Rs 2,00,000 to Rs 2,99,999 10% Rs 3,00,000 to Rs 4,99,999 14% Rs 5,00,000 to Rs 6,99,999 9% Rs 7,00,000 to Rs 9,99,999 6% Rs 10,00,000 to Rs 15,99,999 4% Rs 16,00,000 to Rs 19,99,999 1% Rs 20,00,000 to Rs 29,99,999 1% Rs 30,00,000 or more 1% Prefer not to say 9% Subtotal selection 100% India Panel Reach: 150,000 Language: Hindi, English Smartphone Penetration: 17%* According to data from April 2016 +/-19% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
- 55. Data pulled July 2016 | 55 Age Panel Count Nat Rep 18-24 45% 17% 25-34 34% 23% 35-44 15% 22% 45-54 5% 16% 55-99 1% 21% Household Income Panel Count Less than Rp 5 million 26% Rp 5 million - 10 million 11% Rp 10 million - 20 million 8% Rp 20 million - 30 million 6% Rp 30 million - 40 million 5% Rp 40 million - 50 million 3% Rp 50 million - 60 million 4% Rp 60 million - 70 million 3% Rp 70 million - 80 million 2% Rp 80 million - 90 million 2% Rp 90 million - 100 million 2% Rp 100 million - 500 million 6% More than Rp 500 million 1% Prefer not to say 21% Subtotal selection 100% Gender Panel Count Nat Rep Female 34% 50% Male 66% 50% Indonesia Panel Reach: 117,000 Language: Bahasa Indonesian Smartphone Penetration: 21%* According to data from April 2016 +/-25% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
- 56. Data pulled July 2016 | 56 Age Panel Count Nat Rep 18-24 10% 8% 25-34 20% 14% 35-44 23% 17% 45-54 24% 15% 55-99 23% 46% Gender Panel Count Nat Rep Female 36% 52% Male 64% 48% Geographic Region Panel Count Chubu 14% Chugoku 5% Hokkaido 5% Kanto 41% Kinki 19% Kyushu 7% Okinawa 1% Shikoku 2% Tohoku 5% Okinawa 1% Household Income Panel Count 1,500,000 JPY or less 7% 1,500,001 JPY to 3,000,000 JPY 12% 3,000,001 JPY to 4,000,000 JPY 13% 4,000,001 JPY to 5,000,000 JPY 12% 5,000,001 JPY to 6,000,000 JPY 10% 6,000,001 JPY to 8,000,000 JPY 13% 8,000,001 JPY to 10,000,000 JPY 9% 10,000,001 JPY to 13,000,000 JPY 5% 13,000,001 JPY to 15,000,000 JPY 2% 15,000,001 JPY to 20,000,000 JPY 1% 20,000,001 JPY to 25,000,000 JPY 0% 25,000,000 JPY or more 1% Prefer not to say 15% Subtotal selection 100% Japan Panel Reach: 210,000 Language: Japanese Smartphone Penetration: 84%* According to data from April 2016 +/-16% of respondents complete Toluna surveys via a mobile device * CIAJ 2016 Report
- 57. Data pulled July 2016 | 57 Age Panel Count Nat Rep 18-24 34% 12% 25-34 31% 18% 35-44 21% 20% 45-54 10% 21% 55-99 4% 29% Gender Panel Count Nat Rep Female 48% 51% Male 52% 49% Geographic Region Panel Count Seoul 31% Incheon 6% Metropolitan City Busan 7% Metropolitan City Gwangju 3% Metropolitan City Daegu 4% Metropolitan City Daejeon 3% Metropolitan City Ulsan 2% Gangwon-do 2% Gyeonggi-do 22% Kyungnam 4% Gyeongbuk 4% Jeollanam 2% Chonbuk 4% Chungnam 2% Chungbuk 3% Jeju 1% Household Income Panel Count Less than 20 Million Won 20% 20 to 30 Million Won 13% 30 to 40 Million Won 14% 40 to 50 Million Won 12% 50 to 60 Million Won 9% 60 to 70 Million Won 6% 70 to 80 Million Won 4% 80 to 90 Million Won 2% 90 to 1 Billion Won 2% 1 Billion Won or more 3% Prefer not to say 15% Subtotal selection 100% Korea Panel Reach: 245,000 Language: Korean Smartphone Penetration: 88%* According to data from April 2016 +/-26% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
- 58. Data pulled July 2016 | 58 Age Panel Count Nat Rep 18-24 36% 18% 25-34 41% 24% 35-44 16% 21% 45-54 5% 18% 55-99 2% 20% Gender Panel Count Nat Rep Female 57% 50% Male 43% 50% Ethnicity Panel Count Malay 58% Chinese 27% Indian 7% Other Ethnicity 8% Geographic Region Panel Count Selangor 21% Wilayah 13% Persekutuan Kuala Lumpur Johor 12% Sabah 8% Kedah 8% Pahang 7% Perak 6% Kelantan 5% Terengganu 4% Melaka 4% Sarawak 4% Negeri Sembilan 3% Pinang 2% Putrajaya 1% Perlis 1% Labuan 1% Household Income Panel Count Less than 20,000 Ringgit 12% 20,000 to 34,999 Ringgit 22% 35,000 to 49,999 Ringgit 15% 50,000 to 99,999 Ringgit 16% 100,000 Ringgit or more 5% Prefer not to say 30% Subtotal selection 100% Malaysia * Pew Research Center 2016 Report Panel Reach: 68,000 Language: Malay Smartphone Penetration: 65%* According to data from April 2016 +/-25% of respondents complete Toluna surveys via a mobile device
- 59. Data pulled July 2016 | 59 Age Panel Count Nat Rep 18-24 28% 13% 25-34 21% 17% 35-44 16% 18% 45-54 15% 19% 55-99 20% 34% Gender Panel Count Nat Rep Female 61% 51% Male 39% 49% Geographic Region Panel Count Auckland 35% Bay of Plenty 7% Canterbury/ 11% West Coast Gisborne 1% Nelson/ 3% Marlborough Northland 4% Otago/ 6% Southland Taranaki/ 4% Wanganui Hawkes Bay 4% Waikato 10% Wellington/ 15% Manawatu Household Income Panel Count Less than $20,000 NZD 22% $20,000 to $30,000 NZD 11% $30,000 to $40,000 NZD 9% $40,000 to $50,000 NZD 8% $50,000 to $60,000 NZD 8% $60,000 to $70,000 NZD 10% $70,000 to$ 80,000 NZD 3% $80,000 to $90,000 NZD 2% $90,000 to $100,000 NZD 2% $100,000 to $150,000 NZD 4% $150,000 NZD or more 1% Prefer not to say 20% Subtotal selection 100% New Zealand According to data from April 2016 +/-28% of respondents complete Toluna surveys via a mobile device * New Zealand Multi-Screen Report, Nielsen, 2015 Panel Reach: 40,000 Language: English, Māori, New Zealand Sign Language Smartphone Penetration: 87%*
- 60. Data pulled July 2016 | 60 Pakistan Age Panel Count Nat Rep 18-24 40% - 25-34 36% - 35-44 15% - 45-54 5% - 55-64 2.5% - 65-99 0.5% - Gender Panel Count Nat Rep Female 9% - Male 91% - Panel Reach: 4,000 Language: Urdu, English
- 61. Data pulled July 2016 | 61 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 Female 63% Male 37% Geographic Region Panel Count Metro Manila 30% Luzon 35% Visayas 19% Mindanao 16% Household Income Panel Count Low Annual Income 23% Average Annual Income 18% High Annual Income 14% Prefer not to say 45% Subtotal selection 100% Panel Reach: 77,000 Language: Filipino, English Smartphone Penetration: 22%* * Pew Research Center 2016 Report According to data from April 2016 +/-27% of respondents complete Toluna surveys via a mobile device Philippines
- 62. Data pulled July 2016 | 62 Age Panel Count Nat Rep 18-24 25% 17% 25-34 36% 26% 35-44 23% 19% 45-54 11% 16% 55-99 5% 22% Gender Panel Count Nat Rep Female 53% 51% Male 47% 49% Ethnicity Panel Count Chinese 68% Malay 12% Indian 10% Other Ethnicity 10% 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 30,000 SGD 20% 30,000 to 39,999 SGD 13% 40,000 to 49,999 SGD 9% 50,000 to 59,999 SGD 7% 60,000 to 69,999 SGD 7% 70,000 to 79,999 SGD 6% 80,000 to 89,999 SGD 5% 90,000 to 99,999 SGD 4% 100,000 to 129,999 SGD 6% 130,000 to 159,999 SGD 3% 160,000 or more 3% Prefer not to say 17% Subtotal selection 100% Singapore According to data from April 2016 +/-27% of respondents complete Toluna surveys via a mobile device * Government of Singapore, 2016 Panel Reach: 105,000 Language: English, Mandarin, Malay, Tamil Smartphone Penetration: 90%*
- 63. Data pulled July 2016 | 63 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 Less than 180.000 NTD 12% 180.000 to 269.999 NTD 9% 270.000 to 314.999 NTD 8% 315.000 to 429.999 NTD 8% 430.000 to 539.999 NTD 8% 540.000 to 674.999 NTD 8% 675.000 to 809.999 NTD 9% 810.000 to 1.099.999 NTD 8% 1.100.000 to 1.349.999 NTD 9% 1.350.000 to 1.619.999 NTD 5% 1.620.000 to 1.899.999 NTD 5% 1.900.000 to 2.159.999 NTD 4% 2.160.000 to 2.429.999 NTD 2% 2.430.000 to 2.699.999 NTD 1% 2.700.000 NTD or more 4% Subtotal selection 100% Taiwan Panel Reach: 86,000* Language: Mandarin (Traditional Chinese) Smartphone Penetration: 83%* * Our reach includes our growing Toluna panel plus our trusted partner in this market * National Communications Commission, 2016
- 64. Data pulled July 2016 | 64 Age Panel Count Nat Rep 18-24 44% 14% 25-34 36% 20% 35-44 15% 21% 45-54 4% 20% 55-99 1% 26% Gender Panel Count Nat Rep Female 62% 51% Male 38% 49% Geographic Region Panel Count Central Thailand 48% Eastern Thailand 8% Northeastern 18% Thailand Northern Thailand 26% Household Income Panel Count Less than 200,000 Baht 29% 200,001 to 265,000 Baht 13% 265,001 to 330,000 Baht 10% 330,001 to 395,000 Baht 8% 395,001 to 460,000 Baht 5% 460,001 to 525,000 Baht 6% 525,001 to 590,000 Baht 4% 590,001 to 655,000 Baht 4% 655,001 to 900,000 Baht 6% 900,001 to 1,200,000Baht 5% Prefer not to say 5% Subtotal selection 100% Thailand Panel Reach: 105,000 Language: Thai Smartphone Penetration: 40%* According to data from April 2016 +/-32% of respondents complete Toluna surveys via a mobile device * IDC Thailand, 2016 1,200,000 Baht & above 10%
- 65. Data pulled July 2016 | 65 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 Hanoi 22% Ho Chi Minh 48% Dong Nai 2% Tp Da Nang 2% Hai Phong 2% Others Vietnam 24% Household Income Panel Count Low Annual Income 19% Average Annual Income 70% High Annual Income 4% Prefer not to say 7% Subtotal selection 100% Panel Reach: 85,000 Language: Vietnamese Smartphone Penetration: 36%* * Vietnam Mobile Market Study, Appota, 2016 Vietnam
- 66. Example profile data gathered by Toluna 2016Example profile data gathered by Toluna
- 67. Geographically customized U.S.A. only 67 Automotive Number 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 Basic First Name Last Name Email Gender Password User Name 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 Automotive Number of Cars in your household Main car you drive - Year
- 68. Geographically customized U.S.A. only 68 B2B Employment status 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 - 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 fory our current organization Beauty Luxury products purchased in last 12 months Personal care products used at least once per week Types of stores where personal care products are purchased Finance Financial 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
- 69. Geographically customized U.S.A. only 69 Health 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 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 Position of main salary earner, if not you Monthly net income - you Estimated household yearly income Marital Status Children Date of Birth (up to 10) Children Gender (up to 10) Expecting a baby in the household 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 dogs in household Number of cats in household Number of other pets in household Additional languages spoken Ethnic heritage 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 social network websites Online social network frequency
- 70. Geographically customized U.S.A. only 70 Medical Professionals Age 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 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 Frequence of attending the cinema/movies Movie types enjoyed Magazine types Newspapers regularly read Magazines regularly read Website types Media technology devices Mobile Phone Mobile phone service provider - personal Mobile phone brand - personal Mobile phone smartphone - personal Moble operating system - personal Plan to change provider - personal Mobile phone contract type - personal Mobile phone monthly bill amount - personal 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 Interested in taking mobile phone surveys? Mobile phone number
- 71. Geographically customized U.S.A. only 71 Shopping 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 CPG products purchased 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 Sports Sports played Do you have a gym membership? Frequency of practicing sports Sports watched on TV Hobbies/Interests Types of online gambling activities engaged in
- 72. Geographically customized U.S.A. only 72 Travel Travel abroad in the past 12 months - Liesure Travel abroad in the past 12 months - Business Take a plane when travelling abroad in last 12 months - Liesure Take a train when travelling abroad in last 12 months - Liesure Rent a car when travelling abroad in last 12 months - Liesure Stay in a hotel when travelling abroad in last 12 months - Liesure Travel destinations in last 12 months - Liesure Travel websites used to book trips abroad in past 12 months - Liesure Airline companies used in past 12 months - Liesure Airline class - Liesure Hotel category - Liesure Taken a cruise in the last 2 years - Liesure 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 Video Games Game 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 to you intend to buy in the next 12 months?
- 73. 19 Offices Worldwide | Get In Touch North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America: 4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices4 Offices APAC:APAC:APAC:APAC:APAC:APAC: 7 Offices7 Offices7 Offices7 Offices7 Offices7 Offices7 Offices EMEA: 8 Offices North 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 EMEA Paris, France (Global Headquarters) +33 (0) 1 40 89 71 00 London, UK +44 (0) 20 8832 1700 Amsterdam, Netherlands +31 (0)20 846 67 43 Frankfurt, Germany +49(0) 69 8700 199-00 Haifa, Israel +972 4 8501586 Madrid, Spain +34 91 436 73 90 Timisoara, Romania +40 256 406 900 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 2298 7323 Seoul, South Korea +82-2-6004-1342 Singapore +65 6818 9741 Tokyo, Japan +81 3 5459-1067 APAC: 7 Offices North America: 4 Offices