We offer internationally recognized experts with broad experience across statistical and data analytic fields. Our flexible approach is built around your needs, budget, and timeline.
We apply scientific methods to explain what drives an outcome: which product features work best, what customers will pay, and how a new offering compares with existing options. We account for confounding factors that can make simple correlations misleading.
Our work combines qualitative research, including text mining and natural language processing of customer feedback, with quantitative market data to understand real-world behavior.
Discrete choice and trade-off models simulate real-world consumer behavior. They can guide product bundles, advertising themes, target audiences, and the features that most influence a purchase.
We profile customer traits to support marketing and sales initiatives, including the different needs and price points of consumer groups.
We use data mining, predictive modeling, and machine learning to analyze current and historical data and forecast outcomes. Early analysis can help teams test an idea before committing more resources.
We combine geographic, sales, and population data to understand how location influences behavior. GIS analysis can examine customer residences, purchase histories, competitor locations, traffic, and time-of-day trends, then help simulate targeted marketing and return on investment.
