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There are long-standing arguments that challenge the resale business as a circular fashion model. Considering the whole fashion industry and market, luxury resale is still quite small. To scale the industry, it is critical to attract more consumers to embrace fashion resale and circular fashion. However, many of the customers most likely to embrace resale might have already opted into the market, indicating that online or in-store resale businesses are competing for a limited pool of customers. As a result, it is challenging for the industry to scale. Therefore, it is imperative to understand how consumers engage with luxury resale platforms, what value they are looking for, and to what degree resale customers’ desires for fashion clothing and sustainability can be met in a reconciling manner. Such understanding will facilitate luxury resale platforms to grow their customer base and scale up the industry. This exploratory study focuses on understanding online luxury platform customers and their consumption experience to determine what key attributes affect customer value and engagement. The research explores customer experience using a text-mining approach to provide answers to identified research questions: (1) How do online luxury resale platforms provide customer value to buyers and sellers? What are the driving values for consumers to buy or sell pre-owned products? (2) Are there any issues regarding buying and selling pre-owned products using online luxury resale platforms? (3) Does sustainability play a role in individuals’ consumption using online luxury resale platforms? The article discusses the implications of the study, its limitations, and future research directions.

The purpose of this research is to investigate consumer values of secondhand fashion (SHF) consumption from online platforms in both the mass market and luxury market. The luxury SHF business is closely related to the business of SHF mass market. A cross-market value analysis would provide better insights to understand consumers’ motivations to purchase secondhand fashion products. Three mass-market SHF companies and three luxury SHF companies were selected as sample companies based on their revenues in the U.S. market. Consumers’ comments and reviews from a third-party business review site, trustpilot.com, were collected using the web-scraping technique. Recurrent Neural Network (RNN) analysis, as part of a machine learning algorithm, was applied to detect the most co-occurring word combinations and underlying values discussed in the reviews. The findings identified major consumer-perceived ‘source of values’, i.e., ‘possession/ownership transfer’, and ‘interaction between consumer to business platform’, which might negatively impact the performance of the business of SHF mass market compared to the luxury SHF business. The ’possession/ownership transfer’ source-related values are the most ignored value in the SHF mass market. By adopting the product-oriented value strategy practiced in the luxury market, SHF mass market might improve the consumer perception of product-related value areas.