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www.d8aspring.com
Panel Book
August 2016
Turn a river of data
into a Spring of Insights
1
ABOUT US
dataSpring offers one-stop research solutions to ensure
that market researchers around the world succeed.
We provide Global Sample coverage in over 35
countries, Fieldwork Suite, and an industry-leading
programming and tabulation tool.
MISSION
To connect brands with targeted consumers through our leading technology,
thereby cultivating real relationships between products and people.
2
OUR STORY
dataSpring has a proud history that starts in 1999
with the founding of Voyage Group (VG).
VG quickly grew to become a leading internet company in Japan. In 2009,
it funded a subsidiary research company named Research Panel Asia (RPA).
RPA, known for high-quality proprietary Asian panels and great service,
was acquired in 2015 by Marketing Applications Inc. (MApps),
a leading Tokyo-based research technology company.
The resulting company is known globally as dataSpring
3
WHERE DO OUR PANELS COME FROM?
Proprietary Panels
Our international proprietary panels are recruited
and managed by expert Springers with local
knowledge of the market. Panelists are recruited
through online advertising in local websites,
search engines, and social networking services.
100% of recruitment is by double opt-in process
and strict registration measures are also in place
to ensure respondents are who they say they are.
API Integration
survey on Partners is an API platform that
integrates verified partner panels into our system.
With this platform, we can provide an expansive
network of respondents instantaneously and
offer partners an opportunity to monetize their
panels. We partner with various media
companies, including shopping websites and
mobile applications, as well as other panel
suppliers.
3rd Party Procurement
To reach even more respondents, we also go
through the traditional method: through
approved Third Parties, a mix of local and global
panel suppliers. Though these partners are not
part of our API, we also regularly evaluate their
performance to ensure panel health and data
quality.
4
HOW DO WE MAINTAIN PANEL QUALITY?
VERIFIED
Strict registration measures that include validation of personal ID or physical
address, as well as IP check, ensure that respondents are correctly profiled.
UNIQUE
In-house Digital Fingerprint System blocks any duplicate respondents
for each survey.
ENGAGED
Internal Quality Checks are regularly conducted to eliminate speeders, straight-
liners, and respondents who give inconsistent information.
5
WHAT PROFILES CAN WE TARGET?
Employment Status
Company Size
Job Function
IT Decision Making Status
Occupation Category
Department
Number of Computers (Worldwide)
Company's total consolidated assets/
funds
Official Position
Level of Involvement in contract and
purchasing
Role in decision-making
Home Appliances, Computers, Games
Ownership of: PC (Desktop/Laptop),
Printer, Tablet, etc.
Home appliance Purchase within 1year
Home appliance Purchase Intent
Role in household purchases (Appliance,
Assets, Food, Electronics, etc.)
OTHER
Baby items Purchase within 1 year
FAMILY COMPOSITION
Parent Gender/Age
Children Under 18 Gender/Age
Pregnancy status
The number of family members
HOMEMAKERS (Female)
Age
Family Structure
MEDICAL
Job Title (Doctor, Dentist, Pharmacist,
Nurse, etc.)
Doctor Specialty
AILMENTS
Symptoms
Current Ailments
Past Ailments
Method of visual correction
B2B HOME FAMILY HEALTHCARE
6
VEHICLES
Owner/Driver Status
Presence of a driver's license
Number of cars at home
Decision making to purchase
Vehicle body type
Vehicle engine type
Vehicle Manufacturer
Purchase Date
Purchase Type(New/Used)
Tire Purchase Date
Vehicle Purchase Intent (Budget, Engine
type, Body type, Year)
MOTORCYCLES
Presence of a driver's license
Number of motorcycles at home
Size of motorcycle
Travel in the Past Year by Type: Domestic,
Overseas, Personal, Business
Decision making role for private trips
Overseas Travel Intent
MOBILE
Type
OS
Carrier
Model
Mobile Brand
Tablet Brand
App Purchase Monthly Amount
ONLINE SHOPPING
Online shopping experience
SNS
SNS/Messenger Usage
ASSETS
Financial asset amount (savings, stock,
bond, mutual fund, etc.)
Type of insurance contracted
Credit card ownership
Type of loan
LUXURY
Kind of luxury items purchased
The last time purchased Luxury/branded
items
Luxury items Purchase within 1 year
BEAUTY
Men's products usage (by Brand)
Frequency of using Cosmetic products
Anti-aging products usage
Cosmetic products usage (by Type, Brand)
Cosmetic Product Purchase Channel
AUTOMOTIVE TRAVEL MOBILE/ONLINE OTHERS
Beverage Type (Fruit juice, Soft drink, etc.)
Alcohol Type (Wine, Whisky, etc.)
Smoking Status
BEVERAGE &
SMOKING
WHAT PROFILES CAN WE TARGET?
7
COVERAGE - ASIA
REGION PANEL SIZE
JAPAN 6,900,393
CHINA 2,008,536
KOREA 503,856
TAIWAN 148,002
SINGAPORE 92,958
HONG KONG 73,200
INDONESIA 369,083
REGION PANEL SIZE
VIETNAM 357,914
PHILIPPINES 233,713
MALAYSIA 120,261
THAILAND 377,147
AUSTRALIA 426,859
INDIA 3,236,411
Extensive coverage and detailed profiling for your global research
needs. Our panels are always growing!
55.75%
44.25%
Male
Female
Gender
Japan
Lessthan
300
300
-
499
500
-
799
800
-
999
1000
orhigher
12.2011.97
15.72
26.90
33.21
Region %
Hokkaido
Tohoku
Kanto
Chubu
Kinki
Chugoku
Shikoku
Kyushu Okinawa
8.96
2.29
4.68
19.41
14.45
40.42
5.40
4.38
Age %
15-19 20-29 30-39 40-49 50-59 60+
10.60
18.68
25.70
21.74
18.46
4.83
8
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
2.9912.464.55
13.33
9.49
57.18
Household Income %
(Monthly, unit: 10,000JPY )
6,900,393
47.74%
52.26%
Male
Female
Gender
China
Household Income %
(Monthly, unit: CNY )
0
-
3,999
4,000
-
7,9998,000
-
11,99912,000-15,99916,000
orhigher
13.57
8.70
22.38
27.9127.44
Region %
Bei Jing
Shang Hai
Guang Dong
Tian Jin
Jiang Su
Hu Bei
Liao Ning
Si Chuan
Chong Qing
Zhe Jiang
Shan Dong
Fu Jian
He Nan
Hu Nan
Guang Xi Zhuang Zu
Shan Xi
He Bei
Others 15.01
5.24
2.63
2.49
2.84
5.51
3.25
7.44
4.97
2.09
4.01
3.56
3.32
6.79
2.12
11.89
6.69
10.14
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
4.285.73
16.80
2.7810.89
59.51
Age %
16-19 20-29 30-39 40-49 50-59 60+
0.702.017.66
22.67
54.75
12.20
9
2,008,536
55.03%
44.97%
Male
Female
Gender
Korea
Lessthan
200
KRW200
-
399
KRW400
-
599
KRW600
-
999
KRW
1,000
KRW
orhigher
8.24
14.19
25.87
36.04
15.66
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
6.267.12
32.89
6.705.78
41.25
Age %
13-19 20-29 30-39 40-49 50-59 60-99
1.875.50
14.30
21.76
32.48
24.09
Region %
Seoul
Gyeonggi-do
Incheon
Busan
Daegu
Daejeon
Gwangju
Ulsan
Sejong
Gangwon-do
Gyeongsang-do
Chungcheong-do
Jeolla-do
Jeju-do 0.88
5.10
5.27
8.36
2.42
0.34
1.86
3.17
3.50
5.23
7.29
6.30
23.55
26.72
10
Household Income %
(Monthly, unit: 10,000KRW )
503,856
29.99%
70.01%
Male
Female
Gender
India
Household Income %
(Monthly, unit: INR )
Lessthan
150,000
INR
150,001-
300,000
INR
300,001-
500,000
INR
500,001-
1,000,000
INR
1,000,001orhigher
19.4919.0720.98
15.35
25.10
Age %
15-19 20-29 30-39 40-49 50-59 60-99
2.83
12.8614.93
25.29
34.93
9.16
11
Region %
Central India
East India
North India
North-East India
South India
West India 31.96
16.05
2.14
34.42
11.15
4.28
3,236,411
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
0.714.76
22.17
3.018.46
60.89
12
COVERAGE - EUROPE
REGION PANEL SIZE
AUSTRIA 122,641
BELGIUM 60,840
CROATIA 60,072
DENMARK 164,163
FRANCE 46,585
GERMANY 117,145
ITALY 41,281
NETHERLANDS 199,192
REGION PANEL SIZE
NORWAY 67,640
POLAND 64,080
RUSSIA 104,250
SPAIN 47,698
SWEDEN 430,408
SWITZERLAND 67,545
TURKEY 113,942
UK 379,118
61.84%
38.16%
Male
Female
Gender
United Kingdom
Household Income %
(Monthly, unit: GBP)
Lessthan
9,999
GBP
10,000
-
16,999
GBP
17,000
-
34,999
GBP
35,000
-
54,999
GBP
55,000
GBP
orhigher
14.33
20.13
32.74
16.2116.60
Age %
15-19 20-29 30-39 40-49 50-59 60-99
19.27
16.78
19.70
22.37
19.18
2.69
13
Region %
East of England
London
Midlands
Northeast Yorkshire & The Humber
North West
Northern Ireland
Scotland
Southeast
Southwest
Wales 4.11
8.52
15.34
6.74
1.10
12.56
13.78
16.01
10.90
10.94
3,236,411
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
6.539.494.8312.423.36
63.37
54.19%
45.81%
Male
Female
Gender
Germany
Household Income %
(Monthly, unit: EUR )
Lessthan
13,000
EUR
13,000
-
19,499
EUR
19,500
-
38,999
EUR
39,000
-
64,999
EUR
65,000
EUR
orhigher
4.75
15.81
36.49
19.04
23.91
Region %
Baden-Württemberg
Bayern
Berlin
Brandenburg
Hessen-Thüringen
Mecklenburg-Vorpommern
Niedersachsen-Bremen
Nordrhein-Westfalen
Rheinland-Pfalz-Saarland
Sachsen- Sachsen-Anhalt
Schleswig-Holstein-Hamburg 8.25
9.71
6.49
17.71
7.94
2.20
11.84
3.86
7.88
15.14
8.98
Age %
15-19 20-29 30-39 40-49 50-59 60-99
21.19
24.07
19.0117.75
14.06
3.91
14
117,145
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
6.255.6710.494.503.97
69.12
68.01%
31.99%
Male
Female
Gender
France
Lessthan
12,000
EUR
12,000
-
20,000
EUR
20,000
-
45,000
EUR
45,000
-
70,000
EUR
70,000
EUR
orhigher
2.37
12.61
43.06
17.95
24.02
Region %
Bassin Parisien
Centre-est
Departements d'outre-mer
Est
Ile de France
Mediterranee
Nord-pas-de-calais
Ouest
Sud-ouest 10.32
13.42
7.43
12.42
19.76
8.35
0.43
11.16
16.72
Age %
15-19 20-29 30-39 40-49 50-59 60-99
16.83
24.43
17.82
20.79
17.03
3.09
15
Household Income %
(Monthly, unit: EUR )
46,585
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
10.809.495.477.311.98
64.96
16
REGION PANEL SIZE
BRAZIL 421,723
EGYPT 37,218
MEXICO 317,961
PERU 111,856
SOUTH AFRICA 21,921
US 4,679,820
COVERAGE - US AND OTHERS
72.20%
27.80%
Male
Female
Gender
United States
Lessthan
14,999
USD
15,000
-
24,999
USD
25,000
USD
-
49,999
USD
50,000
-
79,999
USD
80,000
USD
orhigher
22.53
26.2326.38
8.02
16.84
Region %
Midwest
Northeast
South
West 20.60
36.29
21.46
21.66
17
Household Income %
(Monthly, unit: USD )
Age %
15-19 20-29 30-39 40-49 50-59 60-99
12.4413.69
17.24
28.76
23.82
4.06
4,679,820
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
3.44
20.68
3.1710.485.06
57.18
63.60%
36.40%
Male
Female
Gender
Brazil
Household Income %
(Monthly, unit: BRL )
Lessthan
500
BRL
500
-
1,500
BRL1,501-
4,500
BRL
4,501-
15,000
BRL
15,000
BRLorhigher
19.37
23.01
33.63
13.87
10.12
Region %
Central West
North
North-East
South
South-East 53.74
15.57
18.49
2.20
10.00
Age %
15-19 20-29 30-39 40-49 50-59 60-99
2.175.91
11.23
22.38
39.78
18.53
18
421,723
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
1.73
14.27
17.93
6.29
10.99
48.78
50.16%
49.84%
Male
Female
Gender
Mexico
Household Income %
(Monthly, unit: MXN )
Lessthan
3,750
M
XN
3,751-
7,500
M
XN
7,501-
15,000
M
XN
15,001-
45,000
M
XN
45,001M
XN
orhigher
4.85
14.04
24.3422.86
25.22
Region %
Bajio
Centro
Noroeste
Norte
Occidente
Sur
Sureste
Other 39.61
3.77
6.59
7.95
2.69
5.05
29.47
4.87
Age %
15-19 20-29 30-39 40-49 50-59 60-99
1.863.61
13.74
29.34
43.75
7.70
19
317,961
Employment Status %W
orkerPrivate
BusinessHom
em
aker
Student
Unem
ployed
O
thers
1.912.7613.378.0612.73
61.17
20
Automotive ITDM
Infant & Baby Care Teenagers
SPECIALIST PANELS
Gamers
Within our Proprietary and API panels, we have a robust
profiling that enables us to reach these niche markets.
21
CONVENIENCE
There When You Need Us
With 8 Offices around the world, we can respond to your inquiries at any time across all time zones,
24/7.
EXPERTISE
Better Solutions Start Here
In our 10+ years in the industry, we have successfully conducted multi-country research studies in all
different methodologies including IHUT, mobile-app downloading, ad-tracking, long term trackers,
and communities.
Springers are a diverse group from many different countries, speaking multiple languages. Our
multilingual Team intimately understands local respondents, ensuring your research projects succeed.
FLEXIBILITY
The Choice is Yours
We are here to support you in each step of your research project process-- from preparing the
questionnaire, collecting the data online, and processing it to your exact needs.
22
CONTACT US
contact@d8aspring.com
VISIT US
TOKYO
Tel: +81 3-6380-0564
SEOUL
+82 2-778-6050
SINGAPORE
+65 9652-8783
NEW YORK
+1 646-380-6790
SHANGHAI
+86 21-5238-7703
MANILA
+1 718-404-9260
LOS ANGELES
+1 714-262-2790
LONDON
+44 (0)7508027343
www.d8aspring.com/visit-us/
www.d8aspring.com

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dataSpring Panel Book August 2016

  • 1. www.d8aspring.com Panel Book August 2016 Turn a river of data into a Spring of Insights
  • 2. 1 ABOUT US dataSpring offers one-stop research solutions to ensure that market researchers around the world succeed. We provide Global Sample coverage in over 35 countries, Fieldwork Suite, and an industry-leading programming and tabulation tool. MISSION To connect brands with targeted consumers through our leading technology, thereby cultivating real relationships between products and people.
  • 3. 2 OUR STORY dataSpring has a proud history that starts in 1999 with the founding of Voyage Group (VG). VG quickly grew to become a leading internet company in Japan. In 2009, it funded a subsidiary research company named Research Panel Asia (RPA). RPA, known for high-quality proprietary Asian panels and great service, was acquired in 2015 by Marketing Applications Inc. (MApps), a leading Tokyo-based research technology company. The resulting company is known globally as dataSpring
  • 4. 3 WHERE DO OUR PANELS COME FROM? Proprietary Panels Our international proprietary panels are recruited and managed by expert Springers with local knowledge of the market. Panelists are recruited through online advertising in local websites, search engines, and social networking services. 100% of recruitment is by double opt-in process and strict registration measures are also in place to ensure respondents are who they say they are. API Integration survey on Partners is an API platform that integrates verified partner panels into our system. With this platform, we can provide an expansive network of respondents instantaneously and offer partners an opportunity to monetize their panels. We partner with various media companies, including shopping websites and mobile applications, as well as other panel suppliers. 3rd Party Procurement To reach even more respondents, we also go through the traditional method: through approved Third Parties, a mix of local and global panel suppliers. Though these partners are not part of our API, we also regularly evaluate their performance to ensure panel health and data quality.
  • 5. 4 HOW DO WE MAINTAIN PANEL QUALITY? VERIFIED Strict registration measures that include validation of personal ID or physical address, as well as IP check, ensure that respondents are correctly profiled. UNIQUE In-house Digital Fingerprint System blocks any duplicate respondents for each survey. ENGAGED Internal Quality Checks are regularly conducted to eliminate speeders, straight- liners, and respondents who give inconsistent information.
  • 6. 5 WHAT PROFILES CAN WE TARGET? Employment Status Company Size Job Function IT Decision Making Status Occupation Category Department Number of Computers (Worldwide) Company's total consolidated assets/ funds Official Position Level of Involvement in contract and purchasing Role in decision-making Home Appliances, Computers, Games Ownership of: PC (Desktop/Laptop), Printer, Tablet, etc. Home appliance Purchase within 1year Home appliance Purchase Intent Role in household purchases (Appliance, Assets, Food, Electronics, etc.) OTHER Baby items Purchase within 1 year FAMILY COMPOSITION Parent Gender/Age Children Under 18 Gender/Age Pregnancy status The number of family members HOMEMAKERS (Female) Age Family Structure MEDICAL Job Title (Doctor, Dentist, Pharmacist, Nurse, etc.) Doctor Specialty AILMENTS Symptoms Current Ailments Past Ailments Method of visual correction B2B HOME FAMILY HEALTHCARE
  • 7. 6 VEHICLES Owner/Driver Status Presence of a driver's license Number of cars at home Decision making to purchase Vehicle body type Vehicle engine type Vehicle Manufacturer Purchase Date Purchase Type(New/Used) Tire Purchase Date Vehicle Purchase Intent (Budget, Engine type, Body type, Year) MOTORCYCLES Presence of a driver's license Number of motorcycles at home Size of motorcycle Travel in the Past Year by Type: Domestic, Overseas, Personal, Business Decision making role for private trips Overseas Travel Intent MOBILE Type OS Carrier Model Mobile Brand Tablet Brand App Purchase Monthly Amount ONLINE SHOPPING Online shopping experience SNS SNS/Messenger Usage ASSETS Financial asset amount (savings, stock, bond, mutual fund, etc.) Type of insurance contracted Credit card ownership Type of loan LUXURY Kind of luxury items purchased The last time purchased Luxury/branded items Luxury items Purchase within 1 year BEAUTY Men's products usage (by Brand) Frequency of using Cosmetic products Anti-aging products usage Cosmetic products usage (by Type, Brand) Cosmetic Product Purchase Channel AUTOMOTIVE TRAVEL MOBILE/ONLINE OTHERS Beverage Type (Fruit juice, Soft drink, etc.) Alcohol Type (Wine, Whisky, etc.) Smoking Status BEVERAGE & SMOKING WHAT PROFILES CAN WE TARGET?
  • 8. 7 COVERAGE - ASIA REGION PANEL SIZE JAPAN 6,900,393 CHINA 2,008,536 KOREA 503,856 TAIWAN 148,002 SINGAPORE 92,958 HONG KONG 73,200 INDONESIA 369,083 REGION PANEL SIZE VIETNAM 357,914 PHILIPPINES 233,713 MALAYSIA 120,261 THAILAND 377,147 AUSTRALIA 426,859 INDIA 3,236,411 Extensive coverage and detailed profiling for your global research needs. Our panels are always growing!
  • 9. 55.75% 44.25% Male Female Gender Japan Lessthan 300 300 - 499 500 - 799 800 - 999 1000 orhigher 12.2011.97 15.72 26.90 33.21 Region % Hokkaido Tohoku Kanto Chubu Kinki Chugoku Shikoku Kyushu Okinawa 8.96 2.29 4.68 19.41 14.45 40.42 5.40 4.38 Age % 15-19 20-29 30-39 40-49 50-59 60+ 10.60 18.68 25.70 21.74 18.46 4.83 8 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 2.9912.464.55 13.33 9.49 57.18 Household Income % (Monthly, unit: 10,000JPY ) 6,900,393
  • 10. 47.74% 52.26% Male Female Gender China Household Income % (Monthly, unit: CNY ) 0 - 3,999 4,000 - 7,9998,000 - 11,99912,000-15,99916,000 orhigher 13.57 8.70 22.38 27.9127.44 Region % Bei Jing Shang Hai Guang Dong Tian Jin Jiang Su Hu Bei Liao Ning Si Chuan Chong Qing Zhe Jiang Shan Dong Fu Jian He Nan Hu Nan Guang Xi Zhuang Zu Shan Xi He Bei Others 15.01 5.24 2.63 2.49 2.84 5.51 3.25 7.44 4.97 2.09 4.01 3.56 3.32 6.79 2.12 11.89 6.69 10.14 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 4.285.73 16.80 2.7810.89 59.51 Age % 16-19 20-29 30-39 40-49 50-59 60+ 0.702.017.66 22.67 54.75 12.20 9 2,008,536
  • 11. 55.03% 44.97% Male Female Gender Korea Lessthan 200 KRW200 - 399 KRW400 - 599 KRW600 - 999 KRW 1,000 KRW orhigher 8.24 14.19 25.87 36.04 15.66 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 6.267.12 32.89 6.705.78 41.25 Age % 13-19 20-29 30-39 40-49 50-59 60-99 1.875.50 14.30 21.76 32.48 24.09 Region % Seoul Gyeonggi-do Incheon Busan Daegu Daejeon Gwangju Ulsan Sejong Gangwon-do Gyeongsang-do Chungcheong-do Jeolla-do Jeju-do 0.88 5.10 5.27 8.36 2.42 0.34 1.86 3.17 3.50 5.23 7.29 6.30 23.55 26.72 10 Household Income % (Monthly, unit: 10,000KRW ) 503,856
  • 12. 29.99% 70.01% Male Female Gender India Household Income % (Monthly, unit: INR ) Lessthan 150,000 INR 150,001- 300,000 INR 300,001- 500,000 INR 500,001- 1,000,000 INR 1,000,001orhigher 19.4919.0720.98 15.35 25.10 Age % 15-19 20-29 30-39 40-49 50-59 60-99 2.83 12.8614.93 25.29 34.93 9.16 11 Region % Central India East India North India North-East India South India West India 31.96 16.05 2.14 34.42 11.15 4.28 3,236,411 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 0.714.76 22.17 3.018.46 60.89
  • 13. 12 COVERAGE - EUROPE REGION PANEL SIZE AUSTRIA 122,641 BELGIUM 60,840 CROATIA 60,072 DENMARK 164,163 FRANCE 46,585 GERMANY 117,145 ITALY 41,281 NETHERLANDS 199,192 REGION PANEL SIZE NORWAY 67,640 POLAND 64,080 RUSSIA 104,250 SPAIN 47,698 SWEDEN 430,408 SWITZERLAND 67,545 TURKEY 113,942 UK 379,118
  • 14. 61.84% 38.16% Male Female Gender United Kingdom Household Income % (Monthly, unit: GBP) Lessthan 9,999 GBP 10,000 - 16,999 GBP 17,000 - 34,999 GBP 35,000 - 54,999 GBP 55,000 GBP orhigher 14.33 20.13 32.74 16.2116.60 Age % 15-19 20-29 30-39 40-49 50-59 60-99 19.27 16.78 19.70 22.37 19.18 2.69 13 Region % East of England London Midlands Northeast Yorkshire & The Humber North West Northern Ireland Scotland Southeast Southwest Wales 4.11 8.52 15.34 6.74 1.10 12.56 13.78 16.01 10.90 10.94 3,236,411 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 6.539.494.8312.423.36 63.37
  • 15. 54.19% 45.81% Male Female Gender Germany Household Income % (Monthly, unit: EUR ) Lessthan 13,000 EUR 13,000 - 19,499 EUR 19,500 - 38,999 EUR 39,000 - 64,999 EUR 65,000 EUR orhigher 4.75 15.81 36.49 19.04 23.91 Region % Baden-Württemberg Bayern Berlin Brandenburg Hessen-Thüringen Mecklenburg-Vorpommern Niedersachsen-Bremen Nordrhein-Westfalen Rheinland-Pfalz-Saarland Sachsen- Sachsen-Anhalt Schleswig-Holstein-Hamburg 8.25 9.71 6.49 17.71 7.94 2.20 11.84 3.86 7.88 15.14 8.98 Age % 15-19 20-29 30-39 40-49 50-59 60-99 21.19 24.07 19.0117.75 14.06 3.91 14 117,145 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 6.255.6710.494.503.97 69.12
  • 16. 68.01% 31.99% Male Female Gender France Lessthan 12,000 EUR 12,000 - 20,000 EUR 20,000 - 45,000 EUR 45,000 - 70,000 EUR 70,000 EUR orhigher 2.37 12.61 43.06 17.95 24.02 Region % Bassin Parisien Centre-est Departements d'outre-mer Est Ile de France Mediterranee Nord-pas-de-calais Ouest Sud-ouest 10.32 13.42 7.43 12.42 19.76 8.35 0.43 11.16 16.72 Age % 15-19 20-29 30-39 40-49 50-59 60-99 16.83 24.43 17.82 20.79 17.03 3.09 15 Household Income % (Monthly, unit: EUR ) 46,585 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 10.809.495.477.311.98 64.96
  • 17. 16 REGION PANEL SIZE BRAZIL 421,723 EGYPT 37,218 MEXICO 317,961 PERU 111,856 SOUTH AFRICA 21,921 US 4,679,820 COVERAGE - US AND OTHERS
  • 18. 72.20% 27.80% Male Female Gender United States Lessthan 14,999 USD 15,000 - 24,999 USD 25,000 USD - 49,999 USD 50,000 - 79,999 USD 80,000 USD orhigher 22.53 26.2326.38 8.02 16.84 Region % Midwest Northeast South West 20.60 36.29 21.46 21.66 17 Household Income % (Monthly, unit: USD ) Age % 15-19 20-29 30-39 40-49 50-59 60-99 12.4413.69 17.24 28.76 23.82 4.06 4,679,820 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 3.44 20.68 3.1710.485.06 57.18
  • 19. 63.60% 36.40% Male Female Gender Brazil Household Income % (Monthly, unit: BRL ) Lessthan 500 BRL 500 - 1,500 BRL1,501- 4,500 BRL 4,501- 15,000 BRL 15,000 BRLorhigher 19.37 23.01 33.63 13.87 10.12 Region % Central West North North-East South South-East 53.74 15.57 18.49 2.20 10.00 Age % 15-19 20-29 30-39 40-49 50-59 60-99 2.175.91 11.23 22.38 39.78 18.53 18 421,723 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 1.73 14.27 17.93 6.29 10.99 48.78
  • 20. 50.16% 49.84% Male Female Gender Mexico Household Income % (Monthly, unit: MXN ) Lessthan 3,750 M XN 3,751- 7,500 M XN 7,501- 15,000 M XN 15,001- 45,000 M XN 45,001M XN orhigher 4.85 14.04 24.3422.86 25.22 Region % Bajio Centro Noroeste Norte Occidente Sur Sureste Other 39.61 3.77 6.59 7.95 2.69 5.05 29.47 4.87 Age % 15-19 20-29 30-39 40-49 50-59 60-99 1.863.61 13.74 29.34 43.75 7.70 19 317,961 Employment Status %W orkerPrivate BusinessHom em aker Student Unem ployed O thers 1.912.7613.378.0612.73 61.17
  • 21. 20 Automotive ITDM Infant & Baby Care Teenagers SPECIALIST PANELS Gamers Within our Proprietary and API panels, we have a robust profiling that enables us to reach these niche markets.
  • 22. 21 CONVENIENCE There When You Need Us With 8 Offices around the world, we can respond to your inquiries at any time across all time zones, 24/7. EXPERTISE Better Solutions Start Here In our 10+ years in the industry, we have successfully conducted multi-country research studies in all different methodologies including IHUT, mobile-app downloading, ad-tracking, long term trackers, and communities. Springers are a diverse group from many different countries, speaking multiple languages. Our multilingual Team intimately understands local respondents, ensuring your research projects succeed. FLEXIBILITY The Choice is Yours We are here to support you in each step of your research project process-- from preparing the questionnaire, collecting the data online, and processing it to your exact needs.
  • 23. 22 CONTACT US contact@d8aspring.com VISIT US TOKYO Tel: +81 3-6380-0564 SEOUL +82 2-778-6050 SINGAPORE +65 9652-8783 NEW YORK +1 646-380-6790 SHANGHAI +86 21-5238-7703 MANILA +1 718-404-9260 LOS ANGELES +1 714-262-2790 LONDON +44 (0)7508027343 www.d8aspring.com/visit-us/