Purpose: This paper aims to introduce the concept of consumer-based brand value (CBBV), a change in the perspective of brand-equity and brand value from one where the brand is considered separately from other brands. The purpose of this paper is threefold: highlighting the theoretical difference between brand equity and brand value (Raggio and Leone, 2007); conceptually linking brand equity with brand value and then with brand competitiveness; and demonstrating a straightforward method for scholars and practitioners to measure brand value and then to forecast and simulate brand competitiveness. Design/methodology/approach: On a sample of 190 postgraduate students, the authors apply the conjoint analysis and best-worst scaling to illustrate our CBBV model. Following Keller (1993), the authors operationalise brand equity as the outcome of consumers’ internal mental processes, in the form of brand preference, and show how preferences data can be transformed into estimates of brand value in the form of price premium. Finally, the model allows market share simulation based on manipulation of branding and brand features. Findings: The paper is more a conceptual piece, highlighting the distinction between brand equity and brand value. It also demonstrates a relatively new measurement technique for transforming measures of brand equity, in the form of brand preferences, into estimates of brand value. The paper used airlines as a service-provider example, but the technique can be applied to many hospitality and service environments. Research limitations/implications: The study demonstrates how brand equity drives brand value via consumer utility, and proposes a CBBV–competitiveness chain. The authors convert individual consumer preference data to brand value with subsequent preference-based market segmentation, and estimate competitiveness in two ways: market share ceteris paribus and price premium for brand indifference. They also demonstrate how market simulation can be performed so that it allows forecasting of competitiveness (market share) based on product attributes that affect brand value. Practical implications: The CBBV–competitiveness chain constitutes a (new) mindset in the marketing of hospitality, tourism and other services. The study provides a method to measure and test the components of this model and determine brand competitiveness. It used airlines in the example, but the method can be applied to many different settings such as, for example, hotel management group (Starwood, Accor, Intercontinental, Hilton). The authors show how the method allows for benefit-based market segmentation, market-share forecasting and estimation of price premium. Originality value: The CBBV chain provides a conceptual link between brand equity, brand value and brand competitiveness. When equity and related constructs are often conceptualised as relative to competition, they are rarely actually measured in that manner. The study shows how brand equity measured as preferences can be transformed into brand value and competitiveness relative to the competition. The combination of conjoint analysis and best–worst scaling is relatively new to the hospitality and services industries. The authors show that these tools can be applied to these industries without depending on costly software or high-priced consultants.
