The rapid advancement of technology has created unprecedented opportunities for brands to engage with their existing and potential consumers through digitally enriched products. One such technology that enables the digital enrichment of analog products is augmented reality (AR). Through AR, consumers are able to directly interact with brands, for example, by scanning a product to unlock animated digital content that prompts them to take reciprocal actions. Recognizing that technologies that fail to actively engage consumers may struggle to realize their full potential, our study incorporates consumer brand engagement as a key factor of investigation. Consumer engagement with the brand signifies a higher level of commitment and aids in building lasting and beneficial relationships, as well as enhancing brand knowledge, ultimately positively influencing consumer-based brand equity.

Social media are increasingly becoming a strategic vehicle of modern companies’ way of communicating and interacting with consumers. Actually, social media marketing (SMM) has recently emerged as an effective two-way communication channel able to provide the sharing and exchange of information, ideas, and user-generated content in virtual environments. This is especially true for fashion brands, which are progressively creating interactive platforms such as online brand communities in order to enhance their consumer-based brand equity (CBE), interpreted as the consumers’ assessment of a company brand image, identity, and value. Scholars have widely analyzed the relationship between a company’s SMM and brand equity, thus finding a direct positive impact of the five main constructs depicting perceived SMM activities, namely entertainment, interaction, trendiness, customization, and word of mouth, on CBE. Despite this relevant scholarly interest, the consumer behavioral responses linking a company perceived SMM activities and CBE have been largely neglected. Actually, consumers’ benefits from virtual environments and online brand experience may represent significant elements marketing strategists should focus on in order to enhance a company’s brand equity. Building on the uses and gratifications theory and experiential marketing, we develop a conceptual model that unpacks such linkages, by relating SMM activities, perceived benefits of using social media, online brand experience, and CBE. Specifically, we interpret SMM activities as significant brand-related stimuli able to influence consumers’ cognitive, social interactive, personal interactive, and hedonic benefits, which in turn influence consumers’ sensory, affective, behavioral, and intellectual online experience. Moreover, we investigate the experiential responses of consumers that mostly affect a company’s brand equity, which finally impacts on consumers’ purchase intention of the fashion brand. The model is validated using structural equation modeling (SEM) on a sample of real users of online brand communities operating in the fashion industry. Our sample is composed of Millennials, which currently represent the most influential grown-digital generation of consumers. Overall, our findings shed light on consumers’ online behavioral and experiential responses to a company’s perceived SMM activities, thus proposing strategic implications for the management of brand online communities and suggesting interesting possibilities of future research on social media and fashion consumers.

The Consumer-Based Brand Equity (CBBE) literature has, in recent years, introduced various CBBE models and measurement scales. This study aims to compare the external validity of the two prominent CBBE models in the fashion retail industry; those introduced by Yoo and Donthu (2011) based on Aaker (1991)’s CBBE concept and Nam et al. (2011). In order to make this comparison, the study collected data from 285 respondents in Turkey. Research findings show that Nam et al.’s (2011) CBBE model is, in the fashion industry context, the more reliable and valid. When the concept of “brand awareness” is included in this model, the psychometric properties of the model are improved.