Perceptual customer constructs can be central to leverage market intelligence for optimizing customer relationships. The purpose of this paper is to contribute to our understanding of the relationship between perceptual customer metrics that relate to relationship quality (i.e., customer orientation, customer satisfaction, attitudinal loyalty, customer influence on supplier innovation) and behavioral outcomes (i.e., customer account profitability, share of wallet). The paper integrates stated and revealed preference data from a multinational mechanical engineering firm and its global customer base. Results from latent class analysis and fractional logistic regressions highlight both the role of customer perception heterogeneity, and that of nonlinearities between perceptual constructs and behavioral metrics, for targeting behavioural outcomes. They also suggest that attitudinal loyalty and customer satisfaction are highly relevant aspects of relationship quality with respect to share of wallet. However, fractional logistic regression results also indicate that customer perceptions of the supplier's product innovativeness, and perceptions of customer influence on supplier innovation, are likely not relevant aspects of relationship quality.