Sawtooth Software 2020 European Conference | Virtual Attendance  | September 22–25
Early-bird pricing ends August 22!

Advanced Analytical Tools


Many researchers who do not use our CBC and MaxDiff software (where HB is automatically provided) use the standalone CBC/HB system for analyzing a variety of their own discrete choice (or allocation-based) problems. CBC/HB uses an easy .csv-formatted data file format. Our CBC/HB software is the fastest of its type in the world. | Read More

Hierarchical Bayes Regression

Hierarchical Bayesian (HB) estimation has taken on an increasingly important role in marketing research over the last few years. It can improve estimates of parameters (such as beta weights and utilities) both in terms of precision and validity. Our HB-Reg software is for regression-based problems where respondents provide multiple observations (cases) which include a continuous dependent variable. | Read More

CBC Latent Class

Latent Class estimation (for detetecting and modeling segments with similar preferences) is automatically integrated within our CBC and MaxDiff systems. But, researchers can use the standalone Latent Class package for analyzing a variety of discrete choice (or allocation-based) data sets. The CBC Latent Class module uses an easy .csv-formatted data file format. | Read More

Convergent Cluster and Ensemble Analysis

Cluster analysis classifies "objects," such as survey respondents, into groups or "clusters." Markets may be composed of distinct customer segments who have different needs and desires. Cluster Ensemble Analysis is a newer approach that leverages multiple segmentation solutions (an ensemble of potential solutions) to find an even better, "consensus" solution than individual cluster or latent class solutions. | Read More

Want to learn more about conjoint analysis? Use our Interactive Training Module to learn more.

Lighthouse Studio

Lighthouse Studio is our flagship software for producing and analyzing online and offline surveys. It contains modules for general interviewing, choice-based conjoint, adaptive choice-based conjoint, adaptive choice analysis, choice-value analysis, and maxdiff exercises.

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