The purpose of this chapter is to offer a better understanding of online shoppers' behaviour, so that virtual shops may improve and adapt their product offering to effectively reach their target segments. In order to achieve this goal, a characterization of motivations to shop online is proposed as a basis for motivation-based customer segmentation. Building upon this segmentation, acceptance models—namely, an adaptation of UTAUT2 to e-commerce—have been used to look further into the purchasing behavior of each identified segment. The results from the empirical study based on responses to an online questionnaire from a sample of 718 Spanish shoppers shows seven different groups of motivations and five different customer segments, and confirms different behavioral patterns in the adoption of e-commerce for different segments of customers, with special influence of effort expectancy, facilitating conditions, and perceived risk in the online shopping behaviour of individuals.
