Quantitative Research
Decoding
behaviors through
data-driven methodologies.
Decoding
behaviors through
data-driven methodologies.
Example
Methodologies
Maximal Differential (Max Diff) Analysis helps identify consumer preferences through a series of most/least appealing decisions among a set of features, elements, or attributes, revealing a hierarchy of importance.
USE CASES
Identifying favorite in-game features (levels, characters, power-ups) to focus development.
Gauging preference for storylines or plot elements in linear narratives.
Determining preferred monetization methods or business models.
Measure your market’s potential. Our TAM/Market Demand Estimate service provides a clear view of your total addressable market, helping you plan and strategize effectively.
USE CASES
Estimating the total addressable market for a new game genre.
Projecting market demand for a new streaming service.
Calculating potential market size for a newly introduced toy.
Maximize your product mix appeal. With TURF Analysis, discover your audience’s ideal combination of products or services, complemented by regression analysis for predictive insights.
USE CASES
Determining the optimal mix of games in a portfolio to maximize overall engagement.
Identifying the best combination of genres for a streaming service’s content library.
Optimizing cast and/or character mix to attract the widest audience.
Our Behavioral/Choice Modeling helps you understand the relative weight of different factors influencing consumer decision-making and trade-offs, helping optimize product development, pricing, and messaging.
USE CASES
Analyzing player choices to optimize in-game purchase options.
Understanding viewer preferences for streaming service features.
Evaluating fan decisions for ticket purchasing in different seating categories.
Identify and target your ideal customers. Our Consumer Segmentation service divides your market into distinct groups, enabling you to tailor your products and marketing for maximum impact.
USE CASES
Identifying distinct gamer segments for targeted game development.
Segmenting audiences for personalized content recommendations.
Categorizing toy fans for tailored marketing campaigns.
Refine your product ideas before launch. Our Concept Tests provide unbiased consumer feedback on individual product ideas, helping you perfect your offerings and forecast market viability.
USE CASES
Testing individual game concepts to assess market appetite and refine gameplay elements.
Evaluating different pilot episodes for a new TV series.
Assessing new sports equipment designs’ impact on user interest and preference.
Consistently measure global consumer sentiment. Our Multi-Market Trackers capture diverse consumer behaviors and attitudes across regions, offering you a comprehensive understanding of varied markets.
USE CASES
Measuring global gaming platform penetration and usage.
Comparing content preferences across different regions.
Trending sports merchandise appeal in all major international markets.
Price your products perfectly. Our Van Westendorf Pricing Analysis identifies the ideal price points that resonate with your customers, ensuring competitive and profitable pricing.
USE CASES
Determining acceptable price ranges for a new video game.
Setting subscription prices for a music streaming service.
Pricing sports memorabilia to match fan expectations and willingness to pay.
Evaluate the true impact of your advertising. Our Ad Effectiveness Tests assess how well your campaigns are resonating, enabling more efficient ad spends and effective media placement.
USE CASES
Measuring the impact of an online ad campaign for a game launch.
Evaluating a movie trailer’s effectiveness in driving opening weekend attendance.
Assessing the reach and engagement of a new toy launch campaign.
Prioritize features that delight customers. KANO Analysis categorizes consumer preferences at a feature level, helping you focus precious development resources on elements that are most likely to attract and retain consumers.
USE CASES
Categorizing game elements based on their impact on player satisfaction.
Assessing the importance of different features in a streaming service.
Identifying “table stake” and “delighter” features for a new mobile sports app.
