Omni-Channel Marketing in the Designer Toy Economy: The Brand Breakthrough Path of POP MART’s LABUBU
- DOI
- 10.2991/978-94-6239-689-0_3How to use a DOI?
- Keywords
- Omni-Channel; Experiential Marketing; Consumer Behavior; IP Strategy; Branding
- Abstract
This paper examines POP MART’s marketing strategies through the case of its well-known IP, LABUBU. The growth of the designer toy economy and the rising influence of Generation Z consumers have created new opportunities for IP-driven business models. Yet, most existing studies of omni-channel marketing focus on retail and e-commerce, with limited attention to cultural and creative industries. Using company reports, industry data, and the frameworks of omni-channel marketing and experiential consumption, this study explores how POP MART combines its omni-channel system with the emotional value of LABUBU to drive rapid brand growth. The analysis shows that POP MART’s success lies in the integration of IP-based scarcity, experiential marketing, and community engagement across both domestic and international markets. This research contributes to academic discussions by extending omni-channel marketing theory to the designer toy sector, while also offering practical guidance for cultural enterprises aiming to build competitive global brands.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Siyan Zhou PY - 2026 DA - 2026/05/28 TI - Omni-Channel Marketing in the Designer Toy Economy: The Brand Breakthrough Path of POP MART’s LABUBU BT - Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026) PB - Atlantis Press SP - 18 EP - 26 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-689-0_3 DO - 10.2991/978-94-6239-689-0_3 ID - Zhou2026 ER -