Customer Valuation as a Driver of Relationship Dissolution Sabrina Helm Heinrich-Heine-Universitaet,Germany

Abstract

As all customers are not created equal (Hallberg & Ogilvy, 1995), the different contributions of customers to a supplier's goals have to be evaluated to grant efficient relationship marketing. Furthermore, a handling system has to be developed for unprofitable customer relationships. This is a hitherto neglected field, as marketing researchers and practitioners are generally rather interested in attaining and keeping customers, not in the ending of relationships. The article aims at integrating the concepts of customer equity and profitability with approaches of relationship dissolution, which have recently emerged in the literature. Different aspects of calculating the value of customer relationships and value-based criteria that focus on monetary and non-monetary components of a customer's value are discussed. In an exploratory study undertaken in the German mechanical engineering industry, the relevance of customer valuation to dissolution decisions is analyzed.     

Customer Selection and Prioritization

Abstract

That a firm benefits most when customers stick around for the long haul is a central premise of relationship marketing. This conviction has manifested itself over the past decade in the form of numerous formal loyalty programs that aim to seek and foster customer relationships. Scant evidence for the success of such programs has accrued since. This has lead firms to re-evaluate their investments in customer relationship management. Optimal resource allocation models address issues of relative investments in customer acquisition versus retention, and on managing relationships with profitable customers so that the value of a firm's customer base is maximized.     

Trialogue on Facebook pages of grocery stores: Customer engagement or customer enragement?

Abstract

The pervasiveness of social media is compelling businesses to review their way of managing customer experiences. Businesses use social media to interact and engage with customers. Several studies have studied why businesses have adopted social media. However, there is a dearth of research as to why customers interact with businesses on social media in the grocery sector. This paper aims to explore how and why customers react to corporate messages on Facebook pages of Tesco and Walmart. Netnography approach was adopted to gain an insight into the various ways customers engage with the grocery stores on its Facebook pages. This study reveals that social media empower customers, influence the relationships customers have with grocery stores and generate customer engagement. Findings also show that the social customer is both a curse and a blessing to Tesco and Walmart when they create or destroy value for the business. This paper contributes to knowledge by (1) uncovering how customers react to corporate and customer posts on corporate Facebook pages; (2) showing how value can be created and destroyed; and (3) proposing a model illustrating how the main constructs of the study are interconnected: social media, relationship marketing, customer empowerment and customer engagement.     

The Future of Managing Customers as Assets

SUMMARY

Most companies do a very poor job of determining the economic value of their customers. There are three primary reasons that this has been the case: (1) inadequacy of technology, (2) managements' internal focus on products (as opposed to customers), and (3) inadequacy of accounting systems. Each of these areas, however, has undergone rapid transformation in terms of their sophistication and managerial usefulness. As a result, it is manifest destiny that asset valuation and management will evolve to the evaluation of a company's most fundamental asset, its customers (i.e., customer lifetime value). Most managers have come to accept this inevitability. What managers fail to realize is just how radically an understanding of customer lifetime value will transform the business landscape. It will dramatically impact the breadth and type of data collected; the way managers view and segment customers; the types of experiences firms offer customers; the metrics executives provide to the financial markets; and the way companies structure and staff their organizations.     

A comprehensive examination of internet banking user behaviour: evidence from customers yet to adopt,currently using and stopped using

Abstract

Despite the surge in interest in research on customers’ adoption of internet banking (IB), how discontinued users can be brought back to IB has not received much attention. To respond to this question and to provide a comprehensive understanding of IB customer behaviour, we develop a conceptual model grounded on the extended technology acceptance model, and empirically validate it using a sample of 614 IB customers (including those yet to adopt, current users and discontinued users) from China. Perceived value is the most important driver for explaining all categories of customers’ IB-related behaviours. Banks that implement measures that aim to increase the perceived usefulness of IB and enhance the value of IB are likely to be rewarded with increasing IB adoption amongst its customer base.     

Ignoring Your Best Customer?

Abstract

Many organizations devote considerable amounts of money and human resources to develop systems aimed at improving customer retention and profitability. The conventional wisdom is that if retaining the most profitable customers is a good way to increase profitability, then allocating resources to increase the satisfaction of those customers has to be a great objective. However, managers do not observe clear link between satisfaction, retention and profitability. The reason is that different customers have different preferences for convenience as well as different costs associated with switching service providers. These preference and cost heterogeneities have important implications for how companies should target their customer service efforts.

In this paper, we adopt a latent class model to examine the interrelationship amongsatisfaction, retention and profitability. Applying the model to a data of customer satisfaction, self-reported switching propensity, and profitability provided to us by a large Midwestern bank, we make normative statements about which customers are the most criticalones for the company to satisfy and how to satisfy them. The results of this research help to explain why managers have been frustrated by the apparent lack of actionable information present in customer satisfaction data and points to more intelligent ways to use this data.     

Customer Lifetime Value as the Basis of Customer Segmentation

SUMMARY

In this article, we examine current trends in customer life-time value and customer segmentation models and identify key issues for future research. CLV-based segmentation is a segmentation approach that groups customers into meaningful segments based upon customer lifetime value and (potentially) other factors. In the article, we discuss the extent to which CLV-based segmentation meets the criteria for effective segmentation. We also identify six areas for future research: (1) models and management of “micro-segments,” (2) using CLV-based segmentation to improve the efficiency of marketing programs, (3) the need for more dynamic CLV-based segmentation models, (4) applying CLV-based customer segmentation to new products and new customers, (5) challenges associated with implementing CLV-based segmentation, and (6) the need for new models that enable firms to segment customers by response to marketing activities and CLV at different points in the customer decision process.     

An Evaluation of Fast Food Restaurant Satisfaction

Abstract

The researchers interviewed 300 customers of a fast food restaurant. The respondents indicated that quality, cleanliness and value are the three most important attributes of a fast food restaurant. The study reported the respondents' ratings of competitive brands. Cross-tabulations of satisfaction rating by various customer traits are provided.     

Customer Divestment

SUMMARY

Customer lifetime value (CLV) models are designed to identify high-value customers to be retained. By implication, the remaining customers must be divested. This aspect of CLV management, customer divestment, has not been addressed in research. In this paper we describe the process of customer divestment, report a framework enabling firms to implement customer divestment (Mittal, Sarkees, and Murshed, 2006), and identify key issues associated with the customer divestment process. In doing so, we formulate some key research questions and an agenda for future research.     

A New Look at the Antecedents and Consequences of Relationship Quality in the Hotel Service Environment

Abstract

As economic conditions improve, hotels are investing in new ways to improve service quality and perceived value that hopefully will lead to better customer satisfaction and loyalty. This study took a new look, with newly developed scales, at the antecedents and consequences of relationship quality in the hotel service environment to shed new light on the factors hotels have to deal with to achieve their objective of satisfied and loyal customers. Using a structural equation model, it was determined that the tangible and intangible factors of perceived value, timeliness, and hotel facilities are antecedents of hotel quality. Hotel quality, subsequently, is a determinant of both customer satisfaction and loyalty. However, consistent with previous research, customer satisfaction is not a guarantee of customer loyalty.     

Cross-selling across stores or within a store? Impacts of cross-buying behavior in online shopping malls

Abstract

This study investigates the impacts of cross-buying behavior in an online shopping mall where customers can purchase from additional product categories from various independent stores. We focus on the extent to which store loyalty and relationship duration moderate the cross-buying effects on three behavioral traits: customers’ purchase rate, lifetime duration, and spending. The results reveal that customers who engage in cross-buying more intensely purchase more frequently, have longer expected lifetime duration, and spend higher amounts in each transaction. The impacts on purchase frequency and customer retention are even greater for customers who exhibit higher behavioral loyalty toward some stores. However, store loyalty is found to weaken the association between cross-buying and average spending. Further, relationship duration appears to weaken the effects of cross-buying on purchase rate and spending. These results provide new insights into the impacts of cross-buying on customer value as well as managerial implications for shopping mall owners.     

Managing Customer Relationships by Gender

ABSTRACT

Purpose: Although relational bonds (i.e., structural bonds, social bonds, and financial bonds) positively contribute to customer loyalty, no study has yet examined the relative effectiveness of such relationship strategies on female and male customers. Moreover, businesses must make a tradeoff between improving one and the other bonds, warranting research into allocating resources effectively to improve them. Therefore, this study investigates whether and how marketers should strive to improve such bonds differently according to customer gender.

Methodology/approach: A cross-sectional design was implemented. The data consist of questionnaires filled out by a representative sample of 425 directors of animal hospitals. The sample is representative with regard to gender composition. By using confirmatory factor analysis, study items exhibited adequate reliability and validity. Quadratic regressions were used for testing the study hypotheses.

Findings: For female customers, relational bonds have concave relations with their loyalty (i.e., initial increases in relational bonds boost loyalty effectively while subsequent increases of relational bonds only raise loyalty marginally). However, for male customers, relational bonds have convex relations with their loyalty (i.e., initial increases in relational bonds raise loyalty less effectively than subsequent increases in relational bonds).

Originality/value/contribution: Results of this study are among the first to suggest that when targeting female customers, marketers should allocate their resources to improving all relational bonds to moderate levels. Conversely, when targeting male customers, marketers should concentrate their resources on creating an extremely strong relational bond. Managing customer relational bonds by gender can effectively cultivate loyal customers of each gender. This study is one of the first studies examining how to manage customer relational bonds by gender.     

Online retail experience and customer satisfaction: the mediating role of last mile delivery

ABSTRACT

For various industries worldwide, recent years have been defined by the remarkable growth of e-commerce. Enabled by the Internet, retailers can reach more customers, spread much further in the distribution chain, and optimize their resources. In the new market environment, customer experience has become a source of competitive advantage. This study investigates the role of last mile delivery in the customer’s e-retail experience. A quantitative methodology was used, which incorporated a survey that was conducted in Sweden and measured participants’ most recent e-retail experience. The results indicate that the last mile delivery experience mediates the relationship between the customer’s perception of the online shopping experience and customer satisfaction. These conclusions provide ground for further thorough investigations of the role of last mile delivery in the e-retail context and support e-retailers in increasing their customers’ satisfaction.     

Research Trends of Marketing: A Bibliometric Study 1990–2017

Abstract

Interest in the role of marketing has grown in recent decades due to its impact in brand value, value creation for customers, profitability of customer base, and organizational results. The paper shows an overall view on marketing research to explore the development of research trends, showing the high-frequency keywords at different time periods. Using bibliometric methods, the research analyzes publications between 1990 and 2017 found in the Web of Science and Scopus databases. The paper shows the evolution of keywords to reveal emerging topics as demonstrated in the connections network which includes “advertising,” “consumer behavior,” “trust,” “innovation,” and “customer satisfaction.”     

Do retail alliances enhance customer experience? Examining the relationship between alliance value and customer satisfaction with the alliance

Abstract

This article evaluates the role of customers in the alliance equation. Using a combination of survey and experimental data, we investigate the role of value offered by retail alliances on customer satisfaction with the alliance. We find that customer value plays a mediating role in the relationship between customer experience with the alliance and customer satisfaction with the alliance. Results also show that the nature of this relationship differs based on the type of value offered by the alliance. Cognitive processing plays a more significant role when the alliance is of a functional nature, while affect plays a more significant role when the retail alliance is of a hedonic nature.     

Competitive Positioning in International Logistics: Identifying a System of Attributes Through Neural Networks and Decision Trees

Abstract

Firms involved in international logistics must develop a system of service attributes that give them a way to be profitable and to satisfy customers' needs at the same time. How customers trade-off these various attributes in forming satisfaction with competing international logistics providers has not been explored well in the literature. This study explores the ocean freight shipping sector to identify the system of attributes that maximizes customers' satisfaction. Data were collected from shipping managers in Singapore using personal interviews to identify the chief concerns in choosing and evaluating ocean freight services. The data were then examined using neural networks and decision trees, among other approaches to identify the system of attributes that is connected with customer satisfaction. The results illustrate the power of these methods in understanding how industrial customers with global operations process attributes to derive satisfaction. Implications are discussed.     

Interpreting value in the customer service experience using customer-dominant logic

Abstract

Traditionally, customer value has been examined from the perspective of the firm. New understandings of customer value from the customer-dominant logic perspective of services emphasise the need to move away from the service-dominant perspective and adopt a customer-based approach that considers value within the broader context of a customer’s lifeworld. This article explores how individual customers make sense of their participation in an extraordinary, commercially-driven consumption experience. A phenomenological approach is taken to understand the lived experience of these participants. The findings of this exploratory study reveal the highly complex nature of value in the experience in the chosen context of luxury driving experience days. Theoretical and managerial implications are discussed.     

Uncertainty representation and risk management for direct segmented marketing

ABSTRACT

Mining for truly responsive customers has become an integral part of customer portfolio management, and, combined with operational tactics to reach these customers, requires an integrated approach to meeting customer needs that often involves the application of concepts from traditionally distinct fields: marketing, statistics, and operations research. This article brings such concepts together to address customer value and revenue maximisation as well as risk minimisation for direct marketing decision-making problems under uncertainty. We focus on customer lift optimisation given the uncertainty associated with lift estimation models, and develop risk management and operational tools for the multiple treatment (recommendation) problem using stochastic and robust optimisation techniques. Results from numerical experiments are presented to illustrate the effect of incorporating uncertainty on the performance of recommendation models.     

The trickle-down effect of trust in business-to-business relationships: How can a supplier ensure cooperation from multiple customers?

Abstract

Although several interfirm cooperation studies have expanded the unit of analysis from dyads to triads (networks), there is scant literature focusing on whether and how a supplier’s relationship with a customer influences its relationships with other customers. Individual relationship dyads are not isolated but interact with one another. Particularly, mutual trust in a supplier–customer relationship dyad may influence other customers’ cooperative behavior. This cross-dyadic influence is called the “trickle-down effect of trust.” A hypothesis for the mechanism by which this effect occurs was generated, focusing on the customers’ demand information offerings as a cooperative behavior. The results of an empirical analysis indicate that (1) a supplier’s mutual trust with its primary customer encourages nonprimary customers to offer their demand information to the supplier and (2) the quality of information from customers helps the supplier to make their new product more meaningful.     

Value and Satisfaction Evaluations During a Service Relationship

Abstract

The research used a sample of credit union customers to determine (a) the relative importance of core and peripheral service attributes on customer evaluations of service value and customer satisfaction, and (b) how the relative importance of these criteria change over the life of the service relationship. For the overall sample, peripheral service attributes accounted for over three-fourths of the variance for service value and customer satisfaction. Dividing the sample into three sub-samples based on age of the customer's relationship with the credit union, peripheral service attributes drove evaluations of service value and customer satisfaction for the first stage of the relationship (ten years or less) and the middle stage of the relationship (eleven to nineteen years). Once the relationship aged to twenty or more years, core attributes drove evaluations of service value and customer satisfaction. Findings indicate that relationship strategies for the credit union may need to be customized based on the amount of time customers have had a relationship with a service firm.