panelbook apac version

PanelBook 2016 APAC

+/- 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 CountriesThe 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 113,000

China 1,455,000

Hong Kong 100,000

India 150,000

Indonesia 117,000

Japan 210,000

Korea 245,000

Malaysia 68,000

New Zealand 40,000

Pakistan* 4,000

Philippines 77,000

Singapore 105,000

Taiwan* 86,000

Thailand 105,000

Vietnam 85,000

*Toluna.com community launch pending Data pulled July 2016 | 2

Toluna Partners in 72 CountriesThe Americas

Anguilla

Antiguaand Barbuda

Barbados

Bolivia

BritishVirgin 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. VincentGrenadines

Suriname

Trinidad and Tobago

Turks and Caicos

EMEA

Algeria

Bahrain

Belarus

Benin

Burkina Faso

Burundi

Cameroon

Central AfricanRepublic

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

Panel CommunitiesAPAC


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%*


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%



China Panel Reach: 1,455,000Language: Mandarin (Simplified Chinese) Smartphone Penetration: 58%*




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%



Hong Kong Panel Reach: 100,000

Language: Cantonese (Traditional Chinese), English Smartphone Penetration: 83%*


surveys via a mobile device* Census and Statistics Department, Hong Kong Government


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%



India Panel Reach: 150,000 Language: Hindi, English Smartphone Penetration: 17%*




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%











More than Rp 500 million 1%



Gender

Panel Count Nat Rep

Female 34% 50%

Male 66% 50%

Indonesia Panel Reach: 117,000 Language: Bahasa Indonesian Smartphone Penetration: 21%*




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%



Japan Panel Reach: 210,000 Language: Japanese Smartphone Penetration: 84%*


surveys via a mobile device* CIAJ 2016 Report


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%







90 to 1 Billion Won 2%

1 Billion Won or more 3%



Korea Panel Reach: 245,000 Language: Korean Smartphone Penetration: 88%*




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%



Malaysia

* Pew Research Center 2016 Report

Panel Reach: 68,000 Language: Malay Smartphone Penetration: 65%*


surveys via a mobile device


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%



New Zealand


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%*


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


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%



Panel Reach: 77,000 Language: Filipino, English Smartphone Penetration: 22%*

* Pew Research Center 2016 Report


surveys via a mobile device

Philippines


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%



Singapore


surveys via a mobile device* Government of Singapore, 2016

Panel Reach: 105,000

Language: English, Mandarin, Malay, Tamil Smartphone 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

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%


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


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%



Thailand Panel Reach: 105,000 Language: ThaiSmartphone Penetration: 40%*


surveys via a mobile device* IDC Thailand, 2016

1,200,000 Baht & above 10%


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%



Panel Reach: 85,000 Language: Vietnamese Smartphone Penetration: 36%*

* Vietnam Mobile Market Study, Appota, 2016

Vietnam

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