Advanced Econometric &
Choice Models
Convert survey responses into quantified utility, pricing, satisfaction, and portfolio optimization insights using advanced statistical models.
Discrete Choice Conjoint Analysis
Forces respondents to evaluate realistic, multi-attribute product concepts simultaneously. This lets you calculate trade-offs and derive part-worth utility parameters without encountering straight-line selection bias.
Van Westendorp Price Sensitivity (PSM)
Plots cumulative distribution frequencies across four targeted user price points, Too Cheap, Cheap, Expensive, and Too Expensive, to reveal clear pricing thresholds and identify your Indifference Price Point and Optimal Price Point.
Gabor-Granger Price Optimization
Directly prompts users with a series of randomized, structured price points to locate their absolute purchase drop-off thresholds. This output cleanly establishes price elasticity curves and identifies the price point that maximizes gross revenue yields.
The Kano Model
Classifies customer preferences into distinct operational categories: Must-be, One-dimensional, Attractive, and Indifferent features. This maps customer satisfaction coordinates against feature implementation depth.
TURF Portfolio Optimization
Uses algorithmic combinatorics to analyze subset configurations, finding the mix of features or line extensions that maximizes net market coverage. It groups elements by unique reach profiles rather than raw frequency metrics.