Determining the optimal product or portfolio pricing has always been a critical strategic decision and in the light of the pricing dynamics we are observing these days it is becoming even more important to have data driven evidence to make these decisions. And while theory of conjoint analysis is very important and much discussed at the A&I Summit, we want to take the practical approach with this workshop and run you through an entire pricing (shelf) CBC study. We will first describe different pricing research approaches touching upon pros and cons of methods such as Van Westendorp, Gabor Granger, Monadic experiments and conjoint. Then we will take you through both set up and analysis steps of a shelf conjoint including building a customized statistical design, data re-coding, counts, Logit and HB. During each of these steps we will show tips and tricks to get the most out of your data. How do you model the data, interpret the result and what are the key things to look out for? All of this will be discussed based on a real data set using Lighthouse Software.
