Free mobile applications of cloud computing offer a range of diverse services (e.g. gaming, storage etc.) usally in return for delivering personalized advertising to their consenting end-users. In order to do so they may retain a range of personal information such as location and personal preferences. Thus, privacy-related interactions between service providers and end users are important to be studied as personal data are valuable in a subscription-based cloud system. In this paper, game theory is used as a tool to identify and analyze such interactions in order to understand stakeholder choices, as well as how to improve the quality of the service offered in a cloud computing setting.