Abstract: Processing power of a database may be leveraged to perform contact engagement analysis efficiently defining target groups. A person-centric data model allows rapid segmentation based upon details of individual contacts, and the nature of their interactions. The data model may recognize multiple facets of a single individual, for example different identifiers for various personal networks (e.g., social media networks, enterprise directories, etc.). Contact engagement analysis may use techniques such as contact classification, filtering, date period selection, and/or tag cloud based topic classification visualization, in order to achieve target group definition. A data model and UI may provide selection tools filtering data of mixed quality, allowing fast overview, and providing selection possibilities of contact groups having different data quality classifications. A tag cloud (e.g., including a time slider) shows topics of interest derived from contact interactions, thus providing visual indications.