Comparison-based perceived attribute performance as a better antecedent of satisfaction, value and loyalty

Purpose: Product performance measurements have been used to explain other business performance variables. The purpose of this paper is to propose that, regarding Mexican consumers, the “comparison-based perceived attribute performance” (CAP) approach is a better predictor of outcomes, such as satisfaction, value and loyalty, compared with the traditional measurement of “non-comparison-based perceived attribute performance” (NCAP). These two forms of assessing attribute-level performance may be considered as different constructs. Design/methodology/approach: Using these two approaches, empirical tests were performed to attribute performance measurement and were conducted on products from two different categories: tequila and liquid dishwashing detergent. Regression analyses were performed using Mexican consumer samples of n=295 and n=239, respectively. Findings: As opposed to NCAP, CAP measurements yielded higher statistical levels of satisfaction, value and loyalty for both product categories. In the case of tequila, factor analysis indicated a clear separation between the two types of measurements, suggesting that they should be considered distinct constructs. However, this was not found for the other product category. Originality/value: CAP, which has better potential to predict outcomes than NCAP, could have relevant implications in brand positioning assessment and importance-performance analyses.