Conjoint analysis made easy thanks to XLSTAT-Conjoint

Setting up a conjoint analysis can be tedious and expensive. With XLSTAT-Conjoint, your conjoint analysis can be prepared and analyzed in just a few clicks.

XLSTAT-Conjoint is a module for marketers. It empowers you to find out the expectations of consumers towards new products and to model their choices thanks to conjoint analyses. Two methods of conjoint analysis are available: full profile conjoint analysis and choice based conjoint analysis (CBC).

XLSTAT-Conjoint analysis software is a statistical program which allows you to run through all the analytical steps of conjoint analysis from the design of experiments to the simulation of new markets, through data analysis with specific regression methods – MONANOVA, multinomial logit, etc.

Tutorials for conjoint analysis with XLSTAT-Conjoint are available:

Preference Modelling using Partial Least Squares in XLSTAT, July 16th, 2020

This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.

Preference Mapping using XLSTAT, June 25th, 2020

This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.

Free short Webinar - Learn Data Science with XLSTAT: Supervised Machine Learning & Prediction, May 5, 2020

This webinar presents the principles of Supervised Machine Learning & Prediction, with demos using the XLSTAT data analysis software. May 5, 2020 5:00 PM - 6:00 PM CEST

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