This paper analyses 309 random comments of individuals and then groups them into clusters to arrive at product recommendation strategies for them. The study objectives include understanding individual’s Facebook comments on random topics, developing deeper understanding of Facebook comments by identifying similar traits, analysing psyche and distinctive features of groups that have been clustered, and understanding products or service likeliness relative to cluster groups. The paper also discusses the limitations of the study and the segments developed based on the analysis.