How can researchers best investigate what drives online purchase decisions? Currently, A/B-tests of isolated features on two otherwise identical versions of a website are the gold standard for testing online purchase environments. Despite its simplicity, A/B-testing is tedious since only a single feature can be changed at a time and possible interactions between features are not accounted for. In their presentation, Christine and Paulo examined whether conjoint analysis can be used as a multivariate alternative to A/B-testing. Choice-based conjoint is a powerful method to analyze purchase decisions as it allows for optimization across various attributes and levels. While in most conjoint applications attributes and levels pertain to the product itself, the method can also be applied to optimizing the user interface (where elements are placed, how they are designed and executed, the use of rankings, reviews, and promotions). With the application of choice-based conjoint, we can test which booking site features impact purchase decisions for hotel accommodation. Find out more at www.skimgroup.com/gor-2015