2017 GLOBAL PANEL BOOK. / 1. p e.

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1 2017 GLOBAL PANEL BOOK p e. / 1 / 1

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3 ABOUT US Market Cube was founded on the belief that transparency, collaboration, and flexibility could better support global needs in the online, sample industry. Since 2009 our nimble and owner-operated company has delivered on a mission to provide practical innovation to the biggest names in the market research arena. It is our goal to set the standard on providing state of the art project management systems, customizable solutions, seamless panel integration, diversity in respondents, and rigorous security to all of our strategic partners and clients. Headquartered in the United States, with offices in London and India, the Market Cube team is diverse and accomplished. Hailing from some of the most prominent companies in the industry, our principals bring with them over four decades of experience. Together our entire Market Cube team brings a wealth of knowledge and collective expertise in custom market research, online panel development, sample delivery, and research technology. / 3

4 Univox Community Market Cube owns and operates the Univox Community. This global community has representation in various countries around the world including North America, Latin America, Europe, and Asia. Through the use of recruiting methods such as affiliate networks, telephone recruiting, and robust referral programs, we are able to develop deep profiling on many of these community members. Additionally, with a flexible incentive program and a high-touch approach, we are able to keep panelists engaged and willing to participate. Quality Control Measures Before joining our panel, every respondent goes through a rigorous and extensive set of security procedures. Part of our strategy is to integrate the MaxMind s minfraud service into our panels in order to prevent the potential for fraud. These tools help us to determine the likelihood of fraudulent activity, including contact through high-risk IP addresses, and high-risk domain, or proxy servers. We utilize a proprietary algorithm based on IP checking and other machine-level information that provides a fraud score used to screen out suspicious applicants. We also employ Distil Networks to further protect fraudulent activity by removing bot traffic before it ever touches the website. We maintain a Quality Score for every respondent joining our panels. This scoring algorithm is based on multiple factors, including frequency of survey participation, response patterns, number of screen-outs on demographic questions, and surges in activity during a certain time period. When a panelist does not meet our minimum threshold for the Quality Score, they are removed from the database. At the survey level, we utilize RelevantID digital fingerprinting technology to identify potentially fraudulent respondents based on their real-time information. This technology is automatically applied to every respondent before entering a survey and can be customized depending on our client needs. Project Management By leveraging a state-of-the-art project management system, we can blend our databases as well as leverage outside sample sources all with seamless integration. We also believe in a transparent and collaborative approach, giving our clients visibility and ownership throughout the process. By integrating digital fingerprinting technology into our process, we are able to de-dupe respondents across multiple databases and traffic sources. We strictly adhere to our fraud score system to ensure our panel is producing reliable results. We are confident that the combination of these processes will lead to a level of security that is critical in providing the highest degree of data integrity. Profiling We leverage hundreds of targeted profiling data-points on our panelists, including basic demographic data, business and workplace characteristics, product ownership, media consumption, shopping preferences, and health. Panelists can update their profiling information at any time, and we provide incentives prompting this action at relevant intervals. We are confident that this approach provides well rounded and more deeply targeted respondents. Learn more on the following pages. / 4

5 PANEL PROFILING ATTRIBUTES Business Employment status Industry Current occupation Job title Current position Business category Annual revenue Financial Number of credit cards Credit card type(s) Credit payment history Method of payment Household payment responsibility Primary bank Financial products Current loan(s) Primary mortgage bank Travel Business vs. pleasure travel Travel planning responsibility Method of travel planning and booking Vacation destinations Travel activities Frequency of domestic and international travel Number of employees Number of years in business Direct and indirect reports Role in the purchase of business products and services Frequency of Internet use in research or purchase Likelihood for mortgage refinance Responsibility for tax preparation Method of tax preparation or tax service Internet-based tax program or tax preparation software Likelihood of switching tax preparation method Involvement in selecting insurance products Insurance companies Insurance products Frequency of airline travel Airlines Frequent flyer membership Frequency of car rental Car rental companies Cruise lines Hotels/motels / 5

6 Health, Fitness, and Medical Frequency of exercise Location of exercise Gym membership Reasons for dieting Doctors/healthcare professionals Frequency of vitamins, minerals and supplement usage Vehicles Number of vehicles owned by individual and/or household Number of drivers in household Types of vehicles owned/leased Make of vehicles owned/leased Purchase vs. leased Payments remaining on vehicle(s) Sports Sports websites Sports publications Sports networks Level of individual interest Television Hours of television viewed during the week and on the weekend Television service (cable, satellite, etc.) Cable service providers Types of vitamins, mineral and supplements Frequency of prescription drug usage Current health condition Involvement in insurance selection Types of insurance Insurance companies Likelihood of purchase or lease Type of vehicles considered Important factors when considering purchase or lease Ownership of motorcycles, RVs, ATVs, etc. Sporting events attendance Participation in sports activities Ownership or intent to purchase sports equipment Participation in fantasy sports Satellite service providers Television features and products Networks viewed Frequency of television viewership online / 6

7 Computers and Internet Usage Number of years active online Number of hours spent online at home and at work Internet Service Providers (ISP) ISP company Cell Phones Cell phone brand Cell phone service providers Electronics and Technology Adoption Electronics Hobbies and Interests Participation in hobbies and activities Types of items collected as a hobby Sports equipment owned or intend to purchase Video Games Video game console/ handheld Household members involved in games Types of video game Length of games owned Length of time spent playing video games via console/handheld Number of games purchased Number of games rented Amount spent on all aspects of games Category of video games Brand of computer Online activities Use of Instant Messenger Other messenger applications Average monthly service cost Cell phone features and activities Adoption of new technology Sports participation Sporting events Live performance (i.e., music, theatre, dance, etc.) Statements about video game usage Intention to buy video games in the future Brands of video games console/ handhelds considered Frequency games played on the Internet Frequency of games played via computer software Frequency of games played on cell phone/pda / 7

8 Stores and Restaurants Retail stores Grocery stores Entertainment stores Beverages Frequency of non-alcoholic beverage consumption Frequency of regular and diet soda consumption Brands of regular and diet soda Frequency of alcohol consumption Frequency of beer consumption Environment/Green Level of interest in environmental issues Level of concern for the environment Pet Ownership Type of pets owned Amount of money spent on pet(s) Pet products (food, toys, grooming, etc.) Frequency of pet-related purchases Automotive stores Restaurants Online retailers and catalogues Types of beer Brands of beer Frequency of wine consumption Type of wine Frequency of spirits/liquor consumption Types of spirits/liquor Most concerning environmental problems faced Involvement in pet-related purchaseds Likelihood of pet ownership Type of pet(s) considered / 8

9 COUNTRY COUNTS Country Panel Counts Country Panel Counts Argentina Korea* Australia Mexico Brazil Philippines 7200 Canada Poland China Russia France Saudi Arabia Germany Singapore India Spain Indonesia Turkey Italy United Arab Emirates 5450 Japan* United Kingdom United States *We have strategic supply partnerships in place for these countries. / 9

10 UNITED STATES Income $0-$25,000 24% $25,000-$49,999 29% $50,000-$74,999 16% $75,000-$99,999 15% $100,000-$149,999 4% $150, % Not profiled 8% Ethnicity White 61% Black or African American 13% American Indian and Alaska Native 2% Asians 3% Native Hawaiian and other Pacific Islander 2% Others 8% Not profiled 11% Race Hispanic or Latino origin (of any race) 9% Not Hispanic or Latino 80% Not profiled 11% Between % Between years 22% Between years 23% Between years 18% Between years 17% Between years 12% 65+ 5% 37% Male 63% Female / 10

11 CANADA Employment Status Employed Full-time 48% Employed Part-time 21% Not-Employed 32% Income Less than $ % $ $50,000 35% $ $ % $ $ % $ $ % $ % Not profiled 14% Region Alberta 12% British Columbia 13% Manitoba 5% New Brunswick 3% Newfoundland/Labrador 2% Nova Scotia 5% Ontario 41% Quebec 14% Not profiled 5% Between % Between years 13% Between years 25% Between years 24% Between years 21% Between years 14% 65+ 3% 35% Male 65% Female / 11

12 UNITED KINGDOM Employment Status Employed Full-time 43% Employed Part-time (Less than 32 hours) 16% Retired/Unable to Work/Disabled 7% Student/At School 9% Not Working/Looking for Work 13% Housewife/Househusband 8% Not profiled 3% Income Less than % ,000 27% % % % % Not profiled 23% Between % Between years 16% Between years 26% Between years 23% Between years 17% Between years 10% 65+ 4% 42% Male 58% Female / 12

13 ARGENTINA Between % Between years 22% Between years 38% Between years 21% Between years 13% Between years 5% 65+ 0% 53% Male 47% Female AUSTRALIA Between % Between years 26% Between years 24% Between years 17% Between years 10% Between years 6% 65+ 2% 39% Male 61% Female / 13

14 BRAZIL Between % Between years 23% Between years 32% Between years 19% Between years 8% Between years 6% 65+ 2% 58% Male 42% Female CHINA Between % Between years 40% Between years 32% Between years 12% Between years 6% Between years 4% 65+ 2% 50% Male 50% Female / 14

15 FRANCE Between % Between years 19% Between years 26% Between years 20% Between years 15% Between years 12% 65+ 3% 55% Male 45% Female GERMANY Between % Between years 18% Between years 27% Between years 24% Between years 17% Between years 8% 65+ 3% 52% Male 48% Female / 15

16 INDIA Between % Between years 38% Between years 40% Between years 13% Between years 5% Between years 1% 65+ 1% 26% Male 74% Female INDONESIA Between % Between years 29% Between years 44% Between years 19% Between years 4% Between years 1% 65+ 1% 23% Male 77% Female / 16

17 ITALY Between % Between years 20% Between years 35% Between years 22% Between years 13% Between years 5% 65+ 2% 54% Male 46% Female JAPAN* Between % Between years 22% Between years 26% Between years 25% Between years 14% Between years 5% 65+ 3% 45% Male 55% Female *We have strategic supply partnerships in place for these countries. / 17

18 KOREA* Between % Between years 29% Between years 33% Between years 19% Between years 10% Between years 3% 65+ 1% 39% Male 61% Female MEXICO Between % Between years 20% Between years 32% Between years 19% Between years 10% Between years 6% 65+ 4% 57% Male 43% Female / 18 *We have strategic supply partnerships in place for these countries.

19 PHILIPPINES Between % Between years 34% Between years 40% Between years 14% Between years 6% Between years 2% 65+ 0% 57% Male 43% Female POLAND Between % Between years 26% Between years 31% Between years 19% Between years 11% Between years 6% 65+ 1% 50% Male 50% Female / 19

20 RUSSIA Between % Between years 33% Between years 38% Between years 15% Between years 6% Between years 3% 65+ 1% 47% Male 53% Female SAUDI ARABIA Between % Between years 25% Between years 28% Between years 29% Between years 11% Between years 4% 65+ 1% 60% Male 40% Female / 20

21 SINGAPORE Between % Between years 29% Between years 48% Between years 15% Between years 3% Between years 1% 65+ 1% 57% Male 43% Female SPAIN Between % Between years 26% Between years 35% Between years 21% Between years 9% Between years 3% 65+ 1% 46% Male 54% Female / 21

22 TURKEY Between % Between years 39% Between years 36% Between years 16% Between years 5% Between years 1% 65+ 1% 63% Male 37% Female UNITED ARAB EMIRATES Between % Between years 20% Between years 45% Between years 21% Between years 8% Between years 4% 65+ 1% 52% Male 48% Female / 22

23 CONTACT US USA 3015 Dunes West Blvd Suite 103 Mt. Pleasant, SC India JMD Megapolis Unit No , 11th Floor Sohna Road, Sector 50 Gurgaon, Haryana, p e. / 23

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