In this digital era, it is nearly impossible for consumers to go about their daily lives without leaving a trail of digital footprints for companies to track. This datafication and ongoing surveillance enable marketing interventions based on preferences, interests, demographics, past behavior, taste of others, and online engagements like comments, likes, reviews, digital footprints, and ratings to be carried out (Horppu, 2023; Horppu & Närvänen, 2024; Lupton, 2020; Kitchin, 2014; Sörum & Fuentes, 2023). But it does not end here; digital footprints include geolocation, social interactions, uploaded images, health data (i.e., self- tracking), leisure activities (i.e., streaming), and of course, consumption practices (i.e., browsing history, online purchases, and content consumption).For marketers, this shift to a data- driven society is like striking gold—data lets businesses tailor their marketing to individual consumer preferences, predicted needs, including techniques such as personalized campaigns, products, and services (Martin & Murphy, 2017; Mayer- Schönberger & Cukier, 2013). Advanced artificial intelligence (AI)- equipped marketing systems, Big Data analysis, and hyper- individualized marketing content further spur companies’ interest in data- driven marketing (e.g., Darmody & Zwick, 2020). But while data collection technologies evolve and the data mountain grows, focus has shifted to the negative side of data collection (Horppu & Närvänen, 2024; Sörum & Fuentes, 2023). Privacy concerns are now widely discussed among users, industry actors, and governments (Martin & Murphy, 2017) and have increased, not least due to scandalous data breaches. In 2019, Facebook compromised 533 million accounts, and LinkedIn in 2021 made 700 million accounts vulnerable (Schafer & Karlins, 2021; Swinhoe, 2021). The fallout from this widespread access to our personal information is vast: vulnerability to fraud, privacy invasions, and unwanted marketing spam.While the benefits produced by datafication—like personalized product recommendations, discounts, free services, and more relevant content—are often brought to the forefront in marketing research (see, e.g., Isabelle et al. (2022) for an overview), there is also a growing body of literature (Isabelle et al., 2022) within and beyond marketing that addresses the problematic aspects of datafication for consumer privacy.