Methodology
SuperData Methodology = expert industry analysts + proprietary data sets.
To provide our clients with relevant insight into digitally distributed entertainment, SuperData collects data and information in several ways. Combined our various methods enable us to map out the overall competitive landscape, explain and predict consumer behavior, forecast industry trends and offer strategic solutions.
Transaction-level Data. We collect information on actual paying customers. As of August 2010, our data set includes:
- in-store transactions for 15+ online interactive entertainment properties at traditional brick-and-mortar retailers, from August 2008 to today
- information on virtual item sales going back ten years, totaling over 5 million unique transactions
Location-Based Data Collection. SuperData tracks users of several mobile applications, including location-based social networking and content consumption.
Surveys. We continuously survey consumers for key insights into their buying behavior, using self-selecting panels of 2,500+ individuals. Findings are available on a monthly cycle, and we can also integrate custom questions.
Ethnographic Research. To stay in touch with the front-end of the industry, we regularly conduct on-site visits to both major and minor retail stores and host focus groups. In addition, SuperData researches people while consuming entertainment as a group or individually.
Expert Interviews. We are proud to have access to a network of industry experts. SuperData’s lead analysts are experienced people who all work in the segments they analyze, including engineers, developers, programmers and consumer research specialists.
Statistical Modeling. Our research team consists of both knowledgeable analysts as well as seasoned statisticians. Collectively they build our forecasting models used for predicting consumer behavior and industry trends.
