After the pandemic, the cross-border travel retail industry faces challenges such as diverse customer backgrounds, fragmented demand, and dynamic consumer behavior, based on the perspective of the coordinated development of retail formats and international tourism, this study focuses on the characteristics of the personal luxury consumption behavior of Chinese cross-border tourists in the Asia-Pacific region. Using hierarchical clustering and log-likelihood on 495 duty-free questionnaires, we identify seven dynamic segments (e.g., Gen Z high-net-worth beauty advocates, omni-channel cost-effectiveness seekers). Key findings reveal multidimensional behaviors: social currency motivation, omni-channel integration (67.4% of samples), and non-standard preferences. The model achieves <15% clustering error, validating its effectiveness for dynamic cross-cultural segmentation. We propose a differentiated strategy matrix (e.g., duty-free exclusive fragrances, smart makeup terminals) to optimize resource allocation. This research offers innovative methodological and practical support for precision marketing in post-pandemic tourism retail.