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Emerging Markets Handbook - Online & Mobile Research Panels

Date post: 22-Jan-2018
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700,000 150,000 250,000 225,000 250,000 150,000 120,000 150,000 150,000 50,000 50,000 75,000 50,000 50,000 60,000 40,000 37,000 COLOMBIA NIGERIA 75,000 50,000 50,000 75,000 75,000 SINGAPORE 25,000 KENYA VIETNAM 37,000 HONG KONG 24,000 MALAYSIA 20,500 45,000 EGYPT GERMANY 38,000 55,000 USA UK 55,000 Overview Borderless Access specializes in providing online panel services in had-to-reach economies of the World. We have over 3.18 million proprietary panelists in 30 growing & developed markets and conduct over 3.6 million interviews across annually. We have also built over 50 custom panels across numerous industry verticals. We have developed strong specialist panels in both B2B & various consumer niche groups, while our global alliances let us reach over tens of millions more respondents across 65 countries. 3.18 million Overall Panel Size
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700,000

150,000

250,000

225,000

250,000

150,000

120,000150,000

150,000

50,000

50,000

75,000

50,000

50,000

60,000 40,000

37,000

COLOMBIA NIGERIA

75,000

50,000

50,000

75,000

75,000

SINGAPORE25,000

KENYA

VIETNAM

37,000

HONG KONG24,000

MALAYSIA20,500

45,000

EGYPT

GERMANY38,00055,000

USA

UK

55,000

Overview Borderless Access specializes in providing online panel services in had-to-reach economies of the World. Wehave over 3.18 million proprietary panelists in 30 growing & developed markets and conduct over 3.6 millioninterviews across annually. We have also built over 50 custom panels across numerous industry verticals. Wehave developed strong specialist panels in both B2B & various consumer niche groups, while our globalalliances let us reach over tens of millions more respondents across 65 countries.

3.18 millionOverall Panel Size

Education

24%

33%

24%

11%

8%

15-24

25-34

35-44

45-54

55+

36%

64%

Post Graduates/Graduates

Less than Graduate

42%

33%

25%

Married

Single

OthersMale

Female

52%48%

Employment Status

Age

Argentina

Buenos Aires 40%

Córdoba 10%

Rosario 6%

Avellaneda 5%

Mendoza 5%

Santa Fe 5%

La Plata 3%

Corrientes 3%Cities

Others 23%

GenderMarital Status

150,000

4%

9%

30%

17%

12%

13%

15%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education

22%

27%

22%

18%

11%

15-24

25-34

35-44

45-54

55+

34%

66%

Male

Female63%

37%

Employment Status

Age

Australia

Less than Graduate

Post Graduates/Graduates

Australian Capital Territory 3%

Queensland 22%

Western Australia 7%

Victoria 25%

Tasmania 2%

South Australia 11%

Northern Territory 2%

New South Wales 28%

Regions

GenderMarital Status

75,000

46%

31%

23%

Married

Single

Others

1%

16%

26%

19%

6%

10%

22%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education46%

54%

Brazil

São Paulo 33%Rio de Janeiro 14%

Belo Horizonte 6%

Salvador 3%

Curitiba 5%

Porto Alegre 5%

Brasília 4%

Fortaleza 4%

Cities

Post Graduates/Graduates

Less than Graduate

26%

30%

23%

14%

7%

15-24

25-34

35-44

45-54

55+

Male

Female

52%48%

Employment Status

Age

Others 26%

GenderMarital Status

250,000

48%

39%

13%

Married

Single

Others

9%

14%

31%

14%

9%

12%

11%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education

24%

34%

22%

14%

6%

15-24

25-34

35-44

45-54

55+

36%

64%

Post Graduates/Graduates

Less than Graduate

Employment Status

Age

Chile

Santiago Metropolis 44%

Cities

Gran Valparaíso 6%

Antofagasta 7%

Viña del Mar 11%

Gran Concepción 6%

GenderMarital Status

Male

Female

58%

42%

50,000

33%

48%

19%

Married

Single

Others

2%

9%

41%

8%

8%

19%

13%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Others 26%

Education

72%

28%

China

Shanghai 15%

Beijing 15%

Shenzhen 13%Guangzhou 13%

Tianjin 4%Chengdu 6%

Chongqing 7%

Wuhan 4%

Cities

Less than Graduate

Post Graduates/Graduates

24%

37%

28%

9%

2%

15-24

25-34

35-44

45-54

55+

Male

Female

43%

57%

Employment Status

Age

Others 23%

GenderMarital Status

250,000

55%

39%

6%

Married

Single

Others

6%

3%

58%

8%

6%

15%

4%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education

22%

36%

25%

12%

5%

15-24

25-34

35-44

45-54

55+

52%

48%

Post Graduates/Graduates

Less than Graduate

Male

Female

56%

44%

Employment Status

Age

Colombia

Bogotá 38%

Medellín 14%

Cali 11%

Barranquilla 6%

Bucaramanga 3%

Pereira 3%

Ibagué 3%

Cities/Regions

GenderMarital Status

60,000

43%

41%

16%

Married

Single

Others

3%

4%

36%

21%

14%

18%

4%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Others 22%

Education

Cities

67%

33%

Egypt

Post Graduates/Graduates

Less than Graduate

24%

39%

24%

11%

2%

15-24

25-34

35-44

45-54

55-64

Male

Female34%

66%

Employment Status

Age

GenderMarital Status

45000

50%

48%

2%

Married

Single

Others

1%

7%

38%

16%

6%

11%

21%

Business owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Others 5%

Alexandria 19%Cairo 28%

Giza 19%

Kaluobiya 14%

Sohag 4%

Gharbeia 11%

Education

Cities

59%

41%

Germany

Post Graduates/Graduates

Less than Graduate

21%

31%

24%

17%

7%

15-24

25-34

35-44

45-54

55-64

Male

Female

51%49%

Employment Status

Age

GenderMarital Status

38000

33%

53%

14%

Married

Single

Others

3%

7%

36%

19%

4%

14%

17%

Business owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Munich 14%

Cologne 6%

Berlin 17%

Frankfurt 11%

Hamburg 14%

Others 16%

Stuttgart 7%

Düsseldorf 5%Dortmund 10%

Education

Cities

77%

23%

Hong Kong

Post Graduates/Graduates

Less than Graduate

16%

34%

32%

14%

4%

15-24

25-34

35-44

45-54

55-64

Male

Female59%

41%

Employment Status

AgeOthers 2%

GenderMarital Status

24,000

51%

47%

2%

Married

Single

Others

5%

2%

64%

6%

5%

14%

4%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Hong Kong Island 18%

Kowloon 42%

New Territories East 19%

New Territories West 21%

Education

74%

26%

Delhi-NCR 16%

Mumbai 15%

Bangalore 11%

Kolkata 9%

Hyderabad 10%

Chennai 9%

Ahmedabad 4%

Pune 6%

India

Cities

Less than Graduate

Post Graduates/Graduates

29%

38%

17%

13%

3%

15-24

25-34

35-44

45-54

55+

Male

Female

33%

67%

Employment Status

Age

Others 20%

GenderMarital Status

700,000

48%

49%

3%

Married

Single

Others

8%

7%

44%

4%

8%

24%

5%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education46%

54%

Indonesia

Cities

Ambon 13%

Jakarta 21%Balikpapan 5%

Banda Aceh 5%

Bandung 9%

Surabaya 11%

Bandar Lampung 4%

Banjarmasin 3%

Post Graduates/Graduates

Less than Graduate

35%

39%

18%

6%

2%

15-24

25-34

35-44

45-54

55+

Male

Female33%

67%

Employment Status

Age

Others 29%

GenderMarital Status

120,000

44%

48%

8%

Married

Single

Others

4%

6%

38%

6%

13%

28%

5%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education

48%

52%

Male

Female

Employment Status

Age

KSA

Less than Graduate

Post Graduates/Graduates

Regions

Damman 8%

Makkah 9%

Jeddah 19%

Riyadh 34%Madinah 6%

Buraydah 3%

At Taif 3%

Khubar 4%

Hufuf 4%

Al Qatif 3%

GenderMarital Status

75,000

58%

38%

4%

Married

Single

Others

2%

10%

57%

5%

6%

13%

7%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

31%

69%

Others 7%

29%

37%

22%

9%

3%

15-24

25-34

35-44

45-54

55+

Education

Cities

63%

37%

Kenya

Mombasa 18%

Nairobi Metro 26%

Post Graduates/Graduates

Less than Graduate

28%

36%

21%

13%

2%

15-24

25-34

35-44

45-54

55+

Male

Female

46%

54%

Employment Status

Age

Others 9%

GenderMarital Status

25,000

Nairobi 24%Kisumu 7% Nakuru 6%

Eldoret 5%

Kehancha 3%

Ruiru 2%

33%

58%

9%

Married

Single

Others

1%

7%

42%

16%

8%

24%

2%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education

Cities

71%

29%

Malaysia

Post Graduates/Graduates

Less than Graduate

19%

35%

28%

14%

4%

15-24

25-34

35-44

45-54

55-64

Male

Female

44%

56%

Employment Status

AgeOthers 2%

GenderMarital Status

20,500

Johor 11%

47%

52%

1%

Married

Single

Others

3%

2%

57%

4%

14%

17%

3%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Kuala Lumpur 19%

Kedah 5%Kelantan 2%

Melaka 3%

Negeri Sembilan 5%

Pahang 2%Perak 7%

Perlis 1%

Pulau Pinang 7%Sarawak 3%

Selangor 29%

Sabah 2%

Terengganu 2%

Education46%

54%

Mexico

Cities

Mexico City 21%Acapulco 11%

El Salto 7%

Guadalajara 13%Minatitlán 3%

Monterrey 12%

Aguascalientes 3%

Cancún 3%

Post Graduates/Graduates

Less than Graduate

29%

32%

22%

12%

5%

15-24

25-34

35-44

45-54

55+

Male

Female

49%51%

Employment Status

Age

Others 27%

GenderMarital Status

225,000

45%

39%

16%

Married

Single

Others

5%

8%

41%

11%

6%

21%

8%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education

18%

26%

24%

24%

8%

15-24

25-34

35-44

45-54

55+

29%

71%

Employment Status

Age

New Zealand

Cities/Regions

Auckland 36%

Gisborne 2%

Nelson/Marlborough 2%

Hamilton 7% Bay of Plenty 6%

Menawatu Wanganui 4%

Otago 4%

Hawke's Bay 4%

Northland 2%

Taranaki 3%

Less than Graduate

Post Graduates/Graduates

Canterbury/Westcoast 7%

Wellington 11%

Southland 3%

Male

Female66%

34%

GenderMarital Status

37,000

46%

36%

18%

Married

Single

Others

2%

13%

37%

16%

8%

8%

16%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Others 9%

Education

24%

47%

21%

7%

1%

15-24

25-34

35-44

45-54

55+

33%

67%

Male

Female33%

67%

Employment Status

Age

Nigeria

Lagos 42%

Abuja 13%

Port Harcourt 9%

Ibadan 5%

Benin City 5%

Aba 4%

Less than Graduate

Post Graduates/Graduates

Cities/Regions

GenderMarital Status

40,000

40%

57%

3%

Married

Single

Others

2%

12%

33%

13%

19%

19%

2%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Others 22%

Education

25%

40%

19%

10%

6%

15-24

25-34

35-44

45-54

55+

60%

40%

Post Graduates/Graduates

Less than Graduate

Male

Female

67%33%

Employment Status

Age

Philippines

Regions

Metro Manila (NCR) 41% Calabarzon 11%

Central Visayas 12%

Northern Mindanao 6%Davao Region 6%

Western Visayas 4%

Central Luzon 7%

GenderMarital Status

50,000

52%

41%

7%

Married

Single

Others

3%

15%

44%

9%

14%

8%

7%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Others 13%

Education43%

57%

Post Graduates/Graduates

Less than Graduate

Employment Status

AgeCities

Masovian 21%

Pomeranian 9%

Lesser Poland 13%

Lower Silesian 9%

Łódzkie 8%

Greater Poland 11%

Silesian 18%

Poland

Male

Female

60%

40%

GenderMarital Status

75,000

46%

38%

16%

Married

Single

Others

3%

12%

46%

9%

9%

8%

13%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Others 11%

24%

37%

21%

11%

7%

15-24

25-34

35-44

45-54

55+

Education64%

36%

Russia

Cities

Moscow 24%

Saint Petersburg 14%

Yekaterinburg 11%

Chelyabinsk 8%

Novosibirsk 8%Krasnodar 7%

Nizhny Novgorod 6%

Rostov-on-Don 7%

Post Graduates/Graduates

Less than Graduate

23%

36%

25%

11%

5%

15-24

25-34

35-44

45-54

55+

Male

Female

53%47%

Employment Status

Age

Others 15%

GenderMarital Status

150,000

48%

38%

14%

Married

Single

Others

10%

7%

42%

6%

8%

16%

11%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education43%

57%

Singapore

Cities

Post Graduates/Graduates

Less than Graduate

22%

36%

22%

16%

4%

15-24

25-34

35-44

45-54

55+

Male

Female

47%53%

Employment Status

Age

Singapore (Downtown Core) 10%

Ang Mo Kio 10%

Singapore River 7%

Woodlands 6%

Jurong West 5%Tampines 5%Hougang 5%

Yishun 4%

Bedok 4%

Sengkang 3%

Toa Payoh 3%

Pasir Ris 3%Bukit Panjang 3%

Newton 3%

Tanglin 2%

Punggol 2%

Others 25%

GenderMarital Status

50,000

48%

47%

5%

Married

Single

Others

1%

8%

55%

7%

7%

16%

6%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

South Africa

Education33%

67%

Cities

Johannesburg 21%

Cape Town 20%

Durban 14%

Pretoria 12%

Alberton 2%

Port Elizabeth 5%

Benoni 4%

Bloemfontein 4%

Post Graduates/Graduates

Less than Graduate

21%

35%

25%

14%

5%

15-24

25-34

35-44

45-54

55+

Male

Female

56%

44%

Employment Status

Age

Others 18%

GenderMarital Status

150,000

48%

39%

13%

Married

Single

Others

4%

7%

49%

6%

12%

16%

6%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education58%

42%

South Korea

Cities

Seoul 28%

Busan 12%

Daegu 6%

Incheon 8%

Daejeon 6%

Suwon 6%

Andong 8%

Ansan 4%

Post Graduates/Graduates

Less than Graduate

26%

32%

24%

15%

3%

15-24

25-34

35-44

45-54

55+

Male

Female

52%48%

Employment Status

Age

Others 22%

GenderMarital Status

50,000

48%

46%

6%

Married

Single

Others

7%

6%

44%

11%

7%

18%

7%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education38%

62%

Taiwan

Cities Taipei 33%

Kaohsiung 12%

Taichung 14%

Tainan 11%

Taoyuan 12%

Post Graduates/Graduates

Less than Graduate

28%

37%

21%

10%

4%

15-24

25-34

35-44

45-54

55+

Male

Female

42%

58%

Employment Status

Age

Others 18%

GenderMarital Status

50,000

42%

47%

11%

Married

Single

Others

4%

6%

44%

7%

5%

28%

6%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education

33%

40%

18%

7%

2%

15-24

25-34

35-44

45-54

55+

40%

60%

Post Graduates/Graduates

Less than Graduate

Male

Female

49%51%

Employment Status

Age

Thailand

Cities

Ban Lam Luk Ka 2%

Chiang Mai 5%

Chon Buri 5%

Samut Prakan 4%

Nakhon Ratchasima 3%Phra Nakhon Si Ayutthaya 3%

Khon Kaen 2%

Mueang Nonthaburi 2%

Chiang Rai 2%

Bangkok 26%

Rayong 2%Nakhon Pathom 2%

Phuket 2%

Songkhla 2%

Udon Thani 2%

Others 36%

GenderMarital Status

50,000

37%

54%

9%

Married

Single

Others

4%

12%

48%

6%

7%

18%

5%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education

Cities

58%

42%

Turkey

Istanbul 35%

Ankara 14%

Izmir 11%Adana 6%

Bursa 8%

Antalya 5%

Adapazari 3%

Balikesir 3%

Post Graduates/Graduates

Less than Graduate

32%

36%

18%

10%

4%

15-24

25-34

35-44

45-54

55+

Male

Female

37%

63%

Employment Status

Age

Others 15%

GenderMarital Status

150,000

49%

44%

7%

Married

Single

Others

5%

7%

40%

9%

6%

27%

6%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Education Employment Status

Age

UAE

Abu Dhabi 30%

Regions

GenderMarital Status

Male

Female

Post Graduates/Graduates

Less than Graduate

Ajman 3%

Al Ain 4%

Dubai 40%Fujairah 3%

Ras al-Khaimah 5%

Umm al-Quwain 1%Sharjah 12%

75,000

56%

41%

3%

Married

Single

Others

3%

10%

66%

3%

4%

6%

8%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

33%

67%

65%

35%

20%

45%

25%

8%

2%

15-24

25-34

35-44

45-54

55+

Others 2%

Education

Cities

52%

48%

UK

Post Graduates/Graduates

Less than Graduate

21%

32%

23%

17%

7%

15-24

25-34

35-44

45-54

55-64

Male

Female

61%

39%

Employment Status

Age

GenderMarital Status

55000

45%

41%

14%

Married

Single

Others

2%

8%

36%

16%

6%

15%

17%

Business owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Birmingham 16%

Bradford 9%

Manchester 14%

Others 17%

London 26%

Liverpool 8%Sheffield 6%

NewCastle 4%

Education

Cities

72%

28%

USA

Post Graduates/Graduates

Less than Graduate

22%

31%

23%

15%

9%

15-24

25-34

35-44

45-54

55-64

Male

Female

64%

36%

Employment Status

Age

GenderMarital Status

55000

34%

47%

19%

Married

Single

Others

4%

16%

31%

9%

9%

8%

23%

Business owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Los Angeles 13%

New York 17%

Others 25%

Chicago 11%

Houston 8%

Philadelphia 6%Phoenix 6%

Dallas 5%

Seattle 5%

San Diego 4%

Education

Cities

80%

20%

Vietnam

Post Graduates/Graduates

Less than Graduate

35%

32%

22%

9%

2%

15-24

25-34

35-44

45-54

55-64

Male

Female

43%

57%

Employment Status

Age

Others 16%

GenderMarital Status

37,000

Hanoi City 22%

Ho Chi Minh City 29%

Da Nang City 6%

Hai Phong City 4%Red River Delta 19%

Mekong River Delta 4%

45%

52%

3%

Married

Single

Others

2%

8%

44%

13%

10%

22%

2%

Business Owners

Currently unemployed

Employed - Full Time

Employed - Part Time

Self-employed

Student

Others

Easy Access to Niche Audience Panels

▪ Borderless Access pioneered development of specialist panels in Argentina, Australia, Brazil, Chile, China, Colombia, India, Indonesia, KSA, Kenya, Mexico, New Zealand, Nigeria, the Philippines, Poland, Russia, Singapore, South Africa, South Korea, Taiwan, Thailand, Turkey, UAE and Vietnam. Each panel’s profile is mapped to specific dynamics giving us quick access to reach niche audiences for different verticals.

We have the capability to create niche panels based on the industry requirements

Profiled for Company, Employee size,

Number of PC’s, Designation, Occupation,

Industry & Annual Revenue of

the company Profiled for type of

Vehicle ownedtwo or four-wheelers

Vehicle brand, segmentedby – small,

mid-sized, luxury andSUVs as well as

old/new purchase

Type of air travel –

business or leisure,

travel frequency, class of

air travel and more

Mobile phone ownershipand usage, attributes

include mobile brands,smart phone user

ship, usage and more

Profiled for 34 major ailments 120 sub ailments

, 15 Lifestyle and 5 healthcare access

attributes

Target based on financial details, decision

making criteria,online banking usage,

financialproducts owned

IT

Auto

Travel

Mobile

Health & Wellness

Finance

Panel Profiles

Treatment

Preventive

Major Diseases

Lifestyle & Wellness

Healthcare Access

1. Diabetes 2. Skin Diseases3. Eye Conditions4. Heart Diseases5. Others…

1. Conjunctivitis2. Visual defects/

Blindness3. Cataract4. Glaucoma5. Others…

Health & Wellness Panels

Covers the entire spectrum of ailment profile from Healthcare Access, wellness behavior till treatment

Profiled for 34 Ailment Categories

Profiled for 120Ailments

Refer next slide for Complete List of ailments

Consumers/Patients Only

Ailment Coverage

Covering 70% of Major disease categories

Psychological Disorders- Dementia - Mood Disorders - Anxiety - Depression- Schizophrenia - ADHD,OCPD

Eye Conditions- Cataract - Blindness- Dry Eye - Glaucoma

Neurological Disorders- Epilepsy - Alzheimer's - Parkinson's - Cerebral palsy

Skin Conditions- Acne - Herpes- Psoriasis - Eczema

Male conditions- Erectile Dysfunction- Prostate Enlargement- Impotence

Female conditions- Menopause - Abnormal bleeding- Cramps - Fibroids - PMS

Thyroid conditions- Hyperthyroid - Hypothyroid

Heart conditions- Hypertension - Arrhythmia- CHD - Myocardial Infarction

Respiratory- Asthma - COPD- Bronchitis - Sinusitis

Allergy- Drug - Dust - Pet - Cosmetic

Bone & Joint- Arthritis - Osteoporosis- Back pain - Fibromyalgia

Cancer- Stomach - Colon- Lung - Breast

Diabetes- Type I - Type II

(Insulin, Oral Drug users)

Eating Disorders- Anorexia - Binge Eating

Wellness & Healthcare Access Coverage

Lifestyle & Wellness

Healthcare Access

H&W Source of Information- Online - Magazines- Physician - TV

Insurance & Benefits Coverage- Employer - Government- Prescription Drugs - Medical Expenses

Access to Physicians- Corporate Hospitals -Family Doctor - Quarterly/Biannual visits

Preventive Health Checkups & Frequency- Corporate Hospitals - Family Doctor - Yearly/Biannual visits

Western v/s Traditional Medicine- Herbal - Homeopathy - Allopath - Chinese Traditional Medicine

Women Hygiene- Tampon - Hair removal - Women’s Hygiene - Etc.

Women Cosmetics- Foundation - Moisturizer- Eyeliner - Lipstick

Birth Control Aids- Condoms - Emergency pill- Foams - Rings

Maternity & Baby care- Baby Age - Online shopping- Number of kids - Frequency

Eye Care- Contact Lenses - Spectacles- Coloured Contacts - Anti-glare

Skin Care- Moisturizer - Sunblocks- Anti-wrinkle - Anti-Scar

Hair care- Anti-Dandruff - Hair loss supplements- Conditioners - Hair dye

Eating Habits- Pizza - Burger- Sandwiches - Organic packed

FoodCereal

Online Shopping- Air tickets - Hotel- Clothes - Baby products

Alcohol Consumption- Type - Frequency- Tenure - Quantity

Physical Activity- Gym - Swimming- Jogging - Cycling

Smoking- Type - Cessation products used- Tenure - Quantity

Self Monitoring- BP Monitor - Glucose Monitor- Weighing scale

Devices/Implants- Braces - Hearing Aid- Pacemakers - Ortho belts

BMI & Diabetic Risk Population-BMI - First degree Diabetic Relatives

Profiled for 15 wellness & 5 access parameters to reach & target culturally diverse environments

Women

Habits

Lifestyle

Care

Health & Wellness Panel Distribution

Mexico

Brazil

Russia

India

Eye Conditions 34%

Skin Diseases 15%

Diabetes 9%

Heart Diseases 6%

Others 36%

Eye Conditions 42%

Skin Diseases 13%

Heart Diseases 6%

Diabetes 5%

Others 34%

Eye Conditions 42%

Skin Diseases 24%

Heart Diseases 19%

Diabetes 9%

Others 6%

ChinaEye Conditions 55%

Skin Diseases 27%

Diabetes 7%

Heart Diseases 7%

Others 4%

Eye Conditions 33%

Skin Diseases 25%

Diabetes 10%

Heart Diseases 4%

Others 27%

Consumers/Patients Only


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