This article presents an integration of relational benefits and relationship quality to understand customer loyalty and word-of-mouth communication in service marketing. The authors propose a model where customer satisfaction and commitment act as mediators between three relational benefits (confidence, social, and special treatment) and two outcome variables (customer loyalty and word-of-mouth communication). The model is tested using data from 336 service customers, and results support the model, indicating that customer satisfaction, commitment, confidence benefits, and social benefits significantly contribute to relationship marketing outcomes. The concept of relationship marketing has evolved over the past two decades, becoming a central part of marketing theory and practice. The key goal of relationship marketing theory is to identify the drivers of important outcomes for the firm and understand the causal relationships between these drivers and outcomes. Two promising conceptual approaches are the relational benefits approach and the relationship quality approach. The relational benefits approach argues that categories of relationship-oriented customer benefits exist, and their fulfillment can predict the future development of existing relationships. The relationship quality approach is based on the assumption that customer loyalty is largely determined by a limited number of constructs reflecting the degree of appropriateness of a relationship from the customer's perspective. The authors integrate these two concepts by positioning customer satisfaction and commitment as relationship quality dimensions that partially mediate the relationship between the three relational benefits and the two outcome variables. The results of the study support the model and indicate that the concepts of customer satisfaction, commitment, confidence benefits, and social benefits significantly contribute to relationship marketing outcomes in services. The study also highlights the importance of social benefits in influencing relationship marketing outcomes, beyond the technical quality of the service. The findings suggest that economic-based loyalty programs may not be effective, as the offer of special treatment benefits does not appear to significantly influence customer satisfaction or loyalty. Trust and confidence benefits are found to have a strong relationship with the outcome variables, and the authors suggest that service companies should create and communicate market offerings that satisfy customer needs and serve as the foundation for strong relationship commitment.This article presents an integration of relational benefits and relationship quality to understand customer loyalty and word-of-mouth communication in service marketing. The authors propose a model where customer satisfaction and commitment act as mediators between three relational benefits (confidence, social, and special treatment) and two outcome variables (customer loyalty and word-of-mouth communication). The model is tested using data from 336 service customers, and results support the model, indicating that customer satisfaction, commitment, confidence benefits, and social benefits significantly contribute to relationship marketing outcomes. The concept of relationship marketing has evolved over the past two decades, becoming a central part of marketing theory and practice. The key goal of relationship marketing theory is to identify the drivers of important outcomes for the firm and understand the causal relationships between these drivers and outcomes. Two promising conceptual approaches are the relational benefits approach and the relationship quality approach. The relational benefits approach argues that categories of relationship-oriented customer benefits exist, and their fulfillment can predict the future development of existing relationships. The relationship quality approach is based on the assumption that customer loyalty is largely determined by a limited number of constructs reflecting the degree of appropriateness of a relationship from the customer's perspective. The authors integrate these two concepts by positioning customer satisfaction and commitment as relationship quality dimensions that partially mediate the relationship between the three relational benefits and the two outcome variables. The results of the study support the model and indicate that the concepts of customer satisfaction, commitment, confidence benefits, and social benefits significantly contribute to relationship marketing outcomes in services. The study also highlights the importance of social benefits in influencing relationship marketing outcomes, beyond the technical quality of the service. The findings suggest that economic-based loyalty programs may not be effective, as the offer of special treatment benefits does not appear to significantly influence customer satisfaction or loyalty. Trust and confidence benefits are found to have a strong relationship with the outcome variables, and the authors suggest that service companies should create and communicate market offerings that satisfy customer needs and serve as the foundation for strong relationship commitment.