To enhance marketing analytics, in the Ph.D. thesis of Michael Kaufmann, approximate and inductive reasoning are applied to handle uncertainty in individual marketing models. This chapter demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and theoretical studies researcher, the author explains fuzzy classification, inductive logic, and the concept of likelihood, introducing a blend of Bayesian and fuzzy set approaches and allowing reasonings on fuzzy sets that are derived by inductive logic. The chapter shows how fuzzy logic can complement customer analytics by introducing fuzzy target groups.