Based on users’ large-scale app installation data, we established an automated process for T-mobile to segment their users and create persona labels with machine learning. This process will improve mobile advertising services. We conducted social network analysis to cluster users, did topic modeling (LDA) for apps, extracted distinctive keywords in each community with linear sum assignment to build user personas The persona is able to show multi-dimension characteristics of mobile audiences such as popular apps, genres, topics within each community.