Resource Systems Group, Inc. Market Research & Consulting

With more than 30 years of experience in business and academia, we are an industry pioneer in the application of advanced discrete choice methods that determine how consumers choose between competing products. With more than a dozen experienced choice modelers and statisticians on staff, and close ties with leading academicians, we offer unparalleled depth and breadth of experience and cross-industry understanding. Some of our methods include:

• Discrete choice conjoint to estimate the value that consumers assign to features when they choose among new competing products
• Maximum difference scaling conjoint to determine the values of many secondary features that may not be direct-purchase drivers
• Revealed preference modeling to more reliably estimate the value that consumers assign to features when choosing among existing products
• Special analysis methods to determine obstacles to new products and inertia in current products
• Nested logit and covariance heterogeneity models to more reliably estimate cannibalization/interproduct competition
• Hierarchical Bayes, latent class modeling, and logit kernel (mixed logit) estimation to identify individual preference drivers and identify needs-based market segments
• Structural equation modeling to quantify intermediate influences such as attitudes on consumer behavior