How do people react if you alter a product or change a price? With multiple products to choose from, which product will they pick? And which features drive their decisions?
Understanding what drives the decision-making of customers is key when optimizing brand performance. Discrete Choice Modeling is often the best way to provide these insights, by replicating customer choice and trade-off behavior. That is, if you know when and how to use Conjoint Analysis, and how to get the most out of it.
As part of our 3-course SKIM Conjoint Seminar, in this second session you will learn how to get more out of a study than just a simple market simulator with preference shares.
Find out how to present quick and deeper meaningful insights from a conjoint and what value other analysis methods such as segmentation, optimization and decision trees can add to your results.
Date and time: Thu, 22 April | 10.45 - 11.15 CEST