DescriptionUnderstanding the relevancy of user-targeted ads on social networking websites requires the information about the heterogeneous user data and the corresponding ads that are targeted towards the user. This can be accomplished by performing a large scale collection of ads seen by users online on various social networking sites. For the purpose of this research, Facebook was considered as the social networking website. Since using real user profiles may involve privacy issues, dummy profiles were created and the targeted ads were analyzed. Moreover, in order to limit the amount of data being collected and analyzed, the study targeted Facebook ads from a region, India. An automated script in java and selenium was also developed to collect the ads that were targeted at the dummy profiles created. The data collected was analyzed using General Linear Modeling to understand the dependency between category of advertisement shown to a user and profile characteristics like age, gender and location.