TL;DR: In this article, a mathematical framework for assessing the value of customer satisfaction is proposed, which enables managers to determine which customer satisfaction elements have the greatest impact, and how much money should be spent to improve particular satisfaction elements.
TL;DR: In this article, the authors examined the moderating effects of switching costs on customer loyalty through both satisfaction and perceived-value measures, and concluded that companies that strive for customer loyalty should focus primarily on satisfaction or perceived value.
TL;DR: In this paper, the relationship of customer satisfaction to customer loyalty and customer loyalty to profitability was investigated using data from a large bank's retail-banking operations, showing that attainable increases in satisfaction could dramatically improve profitability.
Abstract: Presents the findings of a study performed on data from a large bank’s retail‐banking operations. Illustrates the relationship of customer satisfaction to customer loyalty, and customer loyalty to profitability, using multiple measures of satisfaction, loyalty, and profitability. An estimate of the effects of increased customer satisfaction on profitability (assuming hypothesized causality) suggests that attainable increases in satisfaction could dramatically improve profitability.
TL;DR: In this article, the authors identify attributes of social media marketing (SMM) activities and examine the relationships among those perceived activities, value equity, relationship equity, brand equity, customer equity, and purchase intention through a structural equation model.
TL;DR: In this article, the authors present a unified strategic framework that enables competing marketing strategy options to be traded off on the basis of projected financial return, which is operationalized as the change in a firm's customer equity relative to the incremental expenditure necessary to produce the change.
Abstract: The authors present a unified strategic framework that enables competing marketing strategy options to be traded off on the basis of projected financial return, which is operationalized as the change in a firm’s customer equity relative to the incremental expenditure necessary to produce the change. The change in the firm’s customer equity is the change in its current and future customers’ lifetime values, summed across all customers in the industry. Each customer’s lifetime value results from the frequency of category purchases, average quantity of purchase, and brand-switching patterns combined with the firm’s contribution margin. The brand-switching matrix can be estimated from either longitudinal panel data or cross-sectional survey data, using a logit choice model. Firms can analyze drivers that have the greatest impact, compare the drivers’ performance with that of competitors’ drivers, and project return on investment from improvements in the drivers. To demonstrate how the approach can be implemented in a specific corporate setting and to show the methods used to test and validate the model, the authors illustrate a detailed application of the approach by using data from the airline industry. Their framework enables what-if evaluation of marketing return on investment, which can include such criteria as return on quality, return on advertising, return on loyalty programs, and even return on corporate citizenship, given a particular shift in customer perceptions. This enables the firm to focus marketing efforts on strategic initiatives that generate the greatest return.