Adaptive Conjoint Analysis

Adaptive Conjoint Analysis (ACA) is a conjoint method that strongly focusses on the individual preferences. It adapts the focus of the experiment to the individuals' key drivers of preference.

ACA is a conjoint technique that fits better in an exploratory phase of research as compared to CBC; it is fully individual and it can deal with more attributes.

Software for ACA scripting and analysis is available. Please read our Software pages for more information.
SKIM Software has developed an add-on module that allows for accurate online calculation of individual results. These can be used to feed a realtime advisory function.