We demonstrate how to segment, without a priori knowledge, online bidders using real time data. Our model can capture and evaluate bidder behavior and personality. FIMIX‐PLS is capable of profiling and segmenting the bidders based on their individual characteristics. Analysis confirms FIMIX‐PLS' ability of segmenting bidders into statistically identifiable homogeneous groups.
