Pornography use is multidimensional, yet most studies of the topic use variable-oriented methods (e.g., frequency of use) that reduce the experience to a single dimension. In this study, we sought to identify different multidimensional patterns of pornography genre preferences among a sample of women (n = 206) and examine how those patterns are differentially associated with sexual experiences and beliefs examined in previous literature. Latent Class Analysis uncovered four patterns (or classes): Heterogeneous (39%), Traditionally Feminine (27%), Female Pleasure (23%) and Rough/violent (11%). Class membership was differentially predicted by prior sexual victimization, sexual esteem, and diverse sexual experiences while controlling for frequency of use. These findings suggest that genre preference could account for much of the mixed findings of prior work that measured pornography use with unidimensional approaches.