Esposito, FabrizioGrochowski, Mateusz2026-04-082026-04-082025-03-2797810093678999781009367912PURE: 135932893PURE UUID: 31f15397-d8cc-4483-9756-fc7adf731183Scopus: 105012010001ORCID: /0000-0001-9252-3359/work/197850580http://hdl.handle.net/10362/202123Publisher Copyright: © Cambridge University Press & Assessment 2025. All rights reserved.Of the many concerns triggered by the rapid growth of digital commerce and the expansion of the data-based economy, price personalization occupies a prominent yet peculiar position. For many firms, the availability of big data and refined algorithmic tools has opened unprecedented avenues to learn about consumers' financial and personal standing, market preferences, and transactional behaviour patterns. Building on these insights, firms have (at least to some degree) obtained an ability to make behavioural predictions about the future conduct of their clients, including their interest in a particular assortment of products, responsiveness to certain forms of advertising, and-not least importantly-their willingness to pay a certain price.26478366engConsumer welfareImpersonal pricePersonal dataPrice controlPrice personalizationGeneral Social SciencesEconomics, Econometrics and Finance(all)General Computer Sciencebook part10.1017/9781009367912.001https://www.scopus.com/pages/publications/105012010001