We develop a flexible conjoint model that captures how stand-alone attribute values combine to determine product utility. The model accommodates respondent-specific subadditive, additive, and superadditive aggregation. An application to television preferences reveals distinct aggregation patterns and improved predictive performance relative to a standard conjoint model. Importantly, consumer segments defined by these aggregation patterns exhibit different demand curves and willingness to pay for product enhancements.