Han, QiweiEsposito, FabrizioMendes, Tomás2023-12-182023-12-182022-12-132022-12-13http://hdl.handle.net/10362/161392This paper exhibits a study about the practice of price personalisation on e-commerce websites. With this goal, eleven websites were analysed from three different industries: Fashion retail, General Retail and Travel. Moreover, to find evidence of this practice, the differentiated features tested were the device, operating system (OS), browser, and geolocation of the visiting user. Furthermore, two dimensions of price personalisation were conducted in-depth: price discrimination and price steering. Finally, summarised research about the existing laws and their implications is also presented in this report.engPrice personalizationPrice discriminationPrice steeringData scienceWeb scrapingData analysisGDPRmaster thesis203317521