The rate of usage is the most important and heavy-users, according to Kotler, are invariably crucial to the brand. Consequently, brands often categorize their customers as light, medium, and heavy and their main target are the heavy ones. Customer’s commitment is another dimension and Kotler discusses behaviors under four patterns. First, a hardcore-loyal uses the brand always. Second, a softcore-loyal uses two or three brands. Third, shifting-loyalty refers to changing between brands. And, fourth switchers exhibit no loyalty, at all. It is often suggested that a degree of pre-dispositional commitment for a brand is responsible for brand loyalty. Value as judged by the customers, customer’s satisfaction, trust in the brand, commitment, and repurchasing are the deciding factors Brands’ portfolios and market stability Ehrenberg of the London Business School are interested in a set of brands and move between them because they like change, and, therefore brand-share and penetration show a statistical probability that the customers’ majority will go
The rate of usage is the most important and heavy-users, according to Kotler, are invariably crucial to the brand. Consequently, brands often categorize their customers as light, medium, and heavy and their main target are the heavy ones. Customer’s commitment is another dimension and Kotler discusses behaviors under four patterns. First, a hardcore-loyal uses the brand always. Second, a softcore-loyal uses two or three brands. Third, shifting-loyalty refers to changing between brands. And, fourth switchers exhibit no loyalty, at all. It is often suggested that a degree of pre-dispositional commitment for a brand is responsible for brand loyalty. Value as judged by the customers, customer’s satisfaction, trust in the brand, commitment, and repurchasing are the deciding factors Brands’ portfolios and market stability Ehrenberg of the London Business School are interested in a set of brands and move between them because they like change, and, therefore brand-share and penetration show a statistical probability that the customers’ majority will go