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www.d8aspring.com
Panel BookAugust 2016
Turn a river of datainto 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
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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?
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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 357,914PHILIPPINES 233,713MALAYSIA 120,261THAILAND 377,147AUSTRALIA 426,859INDIA 3,236,411
Extensive coverage and detailed profiling for your global research needs. Our panels are always growing!
55.75%
44.25%
MaleFemale
Gender
Japan
Less
than
300
300 - 49
9
500 - 79
9
800 - 999
1000 o
r high
er
12.2011.9715.72
26.9033.21
Region %
Hokkaido
Tohoku
Kanto
Chubu
Kinki
Chugoku
Shikoku
Kyushu Okinawa8.96
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
25.7021.74
18.46
4.83
8
Employment Status %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
2.9912.464.5513.339.49
57.18
Household Income % (Monthly, unit: 10,000JPY )
6,900,393
47.74%
52.26%
MaleFemale
Gender
China
Household Income % (Monthly, unit: CNY )
0 - 3,9
99
4,000 -
7,999
8,000 -
11,999
12,0
00-15,9
99
16,0
00 or h
igher
13.578.70
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 %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
4.285.7316.80
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%
MaleFemale
Gender
Korea
Less
than
200 K
RW
200 -
399 KRW
400 -
599 KRW
600 - 999 K
RW
1,000 K
RW o
r high
er
8.2414.19
25.87
36.04
15.66
Employment Status %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
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%
MaleFemale
Gender
India
Household Income % (Monthly, unit: INR )
Less
than
150,0
00 INR
150,0
01 - 300,0
00 INR
300,001 -
500,000 IN
R
500,001 -
1,000,0
00 INR
1,000,0
01 or h
igher
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 %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
0.714.7622.17
3.018.46
60.89
12
COVERAGE - EUROPE
REGION PANEL SIZE
AUSTRIA 122,641
BELGIUM 60,840
CROATIA 60,072
DENMARK 164,163
FRANCE 46,585GERMANY 117,145ITALY 41,281
NETHERLANDS 199,192
REGION PANEL SIZENORWAY 67,640POLAND 64,080RUSSIA 104,250SPAIN 47,698SWEDEN 430,408SWITZERLAND 67,545TURKEY 113,942UK 379,118
61.84%
38.16%
MaleFemale
Gender
United Kingdom
Household Income % (Monthly, unit: GBP)
Less
than
9,999 G
BP
10,0
00 - 16
,999 G
BP
17,000 -
34,999 G
BP
35,000 -
54,999 G
BP
55,000 G
BP or h
igher
14.3320.13
32.74
16.2116.60
Age %
15-19 20-29 30-39 40-49 50-59 60-99
19.2716.78
19.7022.37
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 %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
6.539.494.8312.423.36
63.37
54.19%
45.81%
MaleFemale
Gender
Germany
Household Income % (Monthly, unit: EUR )
Less
than
13,0
00 EUR
13,0
00 - 19
,499 EUR
19,500 -
38,999 EUR
39,000 -
64,999 EUR
65,000 EUR o
r high
er
4.75
15.81
36.49
19.0423.91
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
21.1924.07
19.0117.7514.06
3.91
14
117,145
Employment Status %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
6.255.6710.494.503.97
69.12
68.01%
31.99%
MaleFemale
Gender
France
Less
than
12,0
00 EUR
12,0
00 - 20
,000 EUR
20,0
00 - 45
,000 EUR
45,0
00 - 70
,000 EUR
70,0
00 EUR or h
igher
2.3712.61
43.06
17.9524.02
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
17.8220.79
17.03
3.09
15
Household Income % (Monthly, unit: EUR )
46,585
Employment Status %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
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%
MaleFemale
Gender
United States
Less
than
14,9
99 USD
15,0
00 - 24
,999 U
SD
25,0
00 USD -
49,9
99 USD
50,000 -
79,9
99 USD
80,000 U
SD or h
igher
22.5326.2326.38
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
12.4413.6917.24
28.7623.82
4.06
4,679,820
Employment Status %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
3.44
20.68
3.1710.485.06
57.18
63.60%
36.40%
MaleFemale
Gender
Brazil
Household Income % (Monthly, unit: BRL )
Less
than
500 BRL
500 - 1,5
00 BRL
1,501 -
4,500 B
RL
4,501 -
15,0
00 BRL
15,0
00 BRL o
r high
er
19.3723.01
33.63
13.8710.12
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
2.175.9111.23
22.38
39.78
18.53
18
421,723
Employment Status %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
1.7314.27
17.93
6.2910.99
48.78
50.16%
49.84%
MaleFemale
Gender
Mexico
Household Income % (Monthly, unit: MXN )
Less
than
3,750 M
XN
3,751 -
7,500 M
XN
7,501 -
15,0
00 MXN
15,0
01 - 45
,000 M
XN
45,0
01 MXN o
r high
er
4.85
14.04
24.3422.8625.22
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
1.863.6113.74
29.34
43.75
7.70
19
317,961
Employment Status %
Work
er
Privat
e Busin
ess
Homem
aker
Studen
t
Unemplo
yed
Other
s
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 [email protected]
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/
