Recently, personal privacy has increasingly started coming to people's attention, as we are digitally more connected to each other. The development of new mobile products connected to the Internet are starting to take a larger place in people's everyday lives. Such products go by the term "Internet of Things" (IoT) and are now starting to concern more people with regards to the privacy issues. Regulations from EU like General Data Protection (GDPR) have been introduced, trying to make companies more responsible when processing sensitive data. Still, privacy concerns in common people's day to day living exist. Most of these concerns tend to arise because people do not process enough insight or knowledge on how their data are being treated within the IoT products. This is how the data is being distributed, stored and used by the company creating the product. In other words, a need for presenting technical information in a more understandable and precise manner should be provided. Even if people don't ask for a solution to this problem, we have earlier shown that a simple and understandable approach to this type of technical information is valuable to people when choosing a product. By presenting information previously unavailable to people in a more understandable way the consumer can take charge of choosing how his private data are to be treated. This thesis will investigate possible ways to measure the level of privacy in a generic way so that said measurement can be used in presenting the privacy of each IoT product to the end customer. It also addresses a possible way of presenting the information to the end customer. Another important part of this thesis is analyzing an actual IoT product. This analysis will deliver valuable information towards the mapping of different technical parameters, as well as looking at different privacy measurement methods. Finally, the thesis will propose a measurement method applicable to the measuring of privacy in a generic way, as well as improvements and requirements for using this method on a general terms. Hopefully, the thesis will be a contribution to the research on IoT and privacy, and, how this may be presented in a better possible way to the end customer.