People travel to different destinations for different reasons. In this study, we investigate the viability of market segmentation by personal traits (based on and exemplified by Jungian's MBTI variables) of travelers from Switzerland, by performing a data-driven a posteriori segmentation by means of k-means clustering. To identify the segmentation power of personal traits, this analysis is complemented with a multiple discriminant analysis as well as a number of contingency tests to identify differences between the segments. We identified four clearly definable segments, which differ in terms of the psychographic traits of the segment members but also in terms of some sociodemographic characteristics as well as travel profiles. Despite a growing body of work on classical market segmentation, there is a growing but still limited number of works on potentialities of psychographic approaches relating to a traveler's traits and/or peronality as a segmentation basis in tourism.