Incorporating data stacking into CBC studies allows for many practical applications, such as testing sets of new products in large CPG categories when research time or financial resources are limited. This research is aimed to quantify the effects of data stacking using a full CBC study and follow-up new product waves. We will look at the optimal sample size for the follow-up waves and develop guidelines for consecutive designs and further validation and optimization.
