In this study we present a novel approach using dimensionless numbers that allows for the prediction of ring-like structures in drying ink drops based on binary solvent mixtures by substance data. Mechanisms considered in this approach are suppression of Marangoni-flows due to fast evaporation times as well as the potential strength of Marangoni-flows. The proposed approach is validated experimentally. Single spots based on various solvent compositions are inkjet-printed and characterized with respect to the structure by means of microscopy.