Managing retailer profitability—one customer at a time!

This study examines how customer lifetime value (CLV) can be computed at individual customer level in a retail setting to maximize profitability. The study finds that maximum positive impact to CLV occurs when the customer cross-purchases, shows multi-channel shopping behavior, stays longer with the firm, buys specific product categories and purchases more frequently with the firm. Interestingly, the CLV follows an inverted U relationship with increase in return of prior purchases. Other interesting findings include a surprisingly low correlation between customer loyalty and future profitability and low correlation between stores’ historic revenues and future profitability. Several implications are suggested for retailers to manage and maximize customer profitability as well as store profitability.     

Customer Lifetime Value and Firm Valuation

SUMMARY

Unlike most marketing metrics, CLV provides information which is directly relevant to marketing decision makers, non-marketing executives such as CFOs, and financial analysts. This paper highlights why and how CLV is financially relevant. It explicitly compares CLV-based valuation with four finance-oriented methods (DCF, P/E ratio, customer counting, and extrapolation). We also discuss implications for marketing managers, financial executives as well as educators.     

Internal Relationship Management

SUMMARY

In the quest for sustainable competitive advantage, managers have sought to differentiate themselves through a customer (as opposed to product) focus. This has given rise to successive strategies designed to improve the customer experience (e.g., objective quality, service quality, customer satisfaction, customer retention, customer loyalty, etc.). The problem, however, is that a satisfied, loyal customer who is persuaded to consistently buy a firm's product or service over and over again because of its quality can be and often is unprofitable. Therefore, using such strategies does not guarantee increased profits. As a result, firms will increasingly rely on the measurement and management of customers' lifetime values to guide their customer loyalty efforts.     

The Climate for Service

SUMMARY

We develop a framework in which internal employees' diagnoses of their firm's service climate determine their role behavior towards customers and, ultimately, customer satisfaction, loyalty, retention and shareholder value. Elements of the framework include: (1) foun dation issues (fundamental human behavior issues like the presence of necessary resources and the quality of leadership), (2) internal service (the quality of service employees report they receive internally from others), (3) service climate (the degree to which management emphasizes service quality in all of its activities), and (4) customer-focused service behavior. How this research is done is reviewed and research supporting elements of the framework is described. How the approach can be adapted for promoting CLV goals is explicated and answers to some frequently asked questions about change to an organization with a service quality and CLV focus are described.     

Making customer relationship decisions: Analytics v rules of thumb

This article explores how customer management decisions are made in the leading Nordic retail banks and whether these decisions are driven by mainstream analytical approaches to customer lifetime value available through the banks' CRM systems, or by rule of thumb heuristics. The results indicate that the use of managerial heuristics is surprisingly widespread and, counter-intuitively, that rule of thumb heuristic-based decision making frequently outweighs measures such as customer lifetime value with regard to customer management decisions. The implications are considerable because if successful banks are making widespread use of heuristics, managers and academics would benefit from understanding the conditions under which heuristic decision making can be more successful than an analytic approach. This understanding, in turn, may highlight a limitation of CRM systems and point to a more flexible approach to customer management decisions in which experience-based managerial heuristics modify data from formal CRM systems.     

客户关系管理的研究现状、不足和未来展望

本文认为,企业实施客户关系管理的动因主要有顾客角色的变化与交换双方权力的转移,超强竞争环境,营销管理重心的转变以及互联网等通讯基础设施与技术的蓬勃发展等四个方面。目前客户关系管理研究中的主要问题是狭隘地理解客户关系管理,仅仅将其看作是一种管理软件;顾客权益的内涵尚不明确;尚未找到一种能够平衡顾客价值与企业价值的绩效评价方法;对顾客知识的研究基本空白等。文章还指出了未来客户关系管理研究的四大主要领域,即顾客权益合理内涵、评价方法与驱动因素及其在CRM中的应用;顾客价值的内涵多维动态评价体系、创造机制与驱动因素;顾客知识管理模型与数据挖掘技术的运用以及价值导向型客户关系管理的实施流程与竞争能力等。     

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 empirical study of dynamic customer relationship management

We apply the Gönül and Shi (1998) approach to the analysis of the optimal messaging and pricing policy mix by studying the past transaction patterns between a local supermarket and its consumers. We develop a dynamic customer relationship management model and investigate the relationship between customer utility and purchasing frequency by modifying the return function of the model discussed in Gönül and Shi (1998). In particular, we extend the analysis to consider a messaging and pricing policy mix, and we use a genetic algorithm in our empirical estimation. When applied to some non-seasonal products in a local supermarket, we find that our model is suitable and far superior to the one-stage model commonly used. Our dynamic model gives the optimal marketing mix strategies in different customer states and the results show that the firm could enjoy a 22% increase in profit.     

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.     

Estimating cellphone providers' customer equity

This paper provides insights about how customer equity estimates can help businesses monitor the competition as well as aid managers in making their marketing investment decisions, and how companies can employ their marketing investments to maximize current and future yield/returns. The article concerns itself with the current offer of cellphone providers and their main products. The research includes survey data through interviews with 302 cellphone users of Sao Paulo, Brazil. The study uses this data combined with a number of economic assumptions and a financial marketing model to create an insight in customer equity values of cellphone providers in the region. The scenario dated October 2005 is that the estimated customer equity of the service provider Vivo is, respectively, 93 and 91% larger than those of competing providers Claro and TIM. The research underlines that on average the customer equity flowing from the post-paid segment is 3.5 times larger than that of the pre-paid. In addition to these results the study provides the customer lifetime value (CLV) estimates for Claro's, TIM's and Vivo's pre- and post-paid customers and analyzes the retention and loss figures of CLV. Also a discussion follows of the implications that these values will likely have for the companies' marketing strategy.     

Customers focus and impulse buying at night markets

This study conducted a survey on impulse buying at several international night markets in Taiwan and obtained 1053 responses. The data were analysed by partial least squares structural equation modelling. The model was composed of several constructs: attitude towards impulse buying, impulse buying tendency, and variables of customer focus, including insight ability (vendors’ insight into customer needs), customer information, response and feedback, and vendor enthusiasm. The analytical results revealed that insight ability, customer information, response and feedback, and enthusiasm have direct and significant positive effects on attitude towards impulse buying. Additionally, multi-group comparisons in partial least squares analysis revealed partial but statistically significant differences in the path relationships between male customers (568) and female customers; (485); foreign (465) and domestic (588) customers, among night market visitors. This study contributes to the literature by providing a more precise overview of the influence of customer focus on impulse buying tendency within a limited time frame and a crowded space.     

The role of channel quality in customer equity management

Maximization of customer equity is a core objective of customer–company relationship management. We present an extended model of customer equity for determining the optimal allocation of marketing resources across acquisition and retention activities. Focusing on the negative relationship between acquisition and retention, we motivate channel quality as a relevant decision variable, explicate its role in the model, and demonstrate the existence of an optimal value. In addition, rather than making concavity assumptions about acquisition and retention rate response curves, we use the flexible ADBUDG model (Little, JDC, Models and Managers: the Concept of a Decision Calculus. Manag Sci 1970; 16(8): 466–484.), which allows for both S-shaped and strictly-concave relationships, and parameterize it using decision calculus. We show how to estimate and apply the model and then provide sensitivity analyses with respect to changes in the true values of model parameters as well as inaccuracy in managerial inputs. We conclude by comparing our model with extant models and discussing the implications of our research.     

Approaches to the Measurement and Management of Customer Value

SUMMARY

Determining and managing customer lifetime value is one of the most important strategic objectives of companies today. This paper critically examines some of the most popular approaches traditionally used to measure the value of customers in a company's portfolio. The methods reviewed include RFM and total revenue approaches to differentiating the value of customers. Although these methods have relative advantages, they have serious drawbacks that limit the ability of managers to accurately assess customer value. An alternative model for the measurement and management of customer value is proposed.     

Moving from customer lifetime value to customer equity

We study the consequence of moving from Customer Lifetime Value maximization to Customer Equity maximization. Customer equity has traditionally been seen as the discounted sum of the lifetime earnings from all current and future customers and thus it has been largely assumed that maximizing customer lifetime value would lead to maximum customer equity. We show that the transition from CLV to CE is not that straightforward. Although the CLV model is appropriate for managing a single non-replaceable customer, the application of a CLV model to the acquisition and valuation of customers as an ongoing concern for the firm leads to sub-optimal customer relationship management and acquisition strategies. This leads the firm following a CLV maximization approach to have a smaller and less profitable customer base than one that follows a CE maximization strategy.

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Choosing the Right Metrics to Maximize Profitability and Shareholder Value

There is an ever-present need for managers to justify marketing expenditures to the firm. This can only be done when we can establish a direct link between marketing metrics and future customer value and firm performance. In this article, we assess the marketing literature with regard to marketing metrics. Subsequently, we develop a framework that identifies key metrics that firms should focus on that can give a firm a better picture of how they got to where they are now and insights towards how they can continue to grow into the future. We then identify several organizational challenges that need to be addressed in order for firms to build the capabilities of collecting the right data, measuring the right metrics, and linking those metrics to customer value and firm performance. Finally, we offer guidelines for future research with regard to marketing metrics to help firms establish successful marketing strategies, measure marketing effectiveness, and justify marketing expenditures to top management.     

Customer equity management as formative second-order construct

Despite intensive discussions about customer equity, little research addresses how to manage customer equity from a firm's perspective. Recent literature proposes various concepts of customer equity management but does not feature an empirical study that identifies and quantifies activities that aim explicitly to maximize customer equity. In the current study, the authors develop a formative measurement instrument for customer equity management as a second-order construct that indicates how intensively firms orient their customer management toward customer value and equity. The study presents a complete process for conceptualizing and operationalizing a formative second-order construct, including a thorough literature review, intensive qualitative research, and a quantitative study with 92 customer equity managers. On the basis of this process, the authors model customer equity management as a function of three formative dimensions - customer equity analysis, customer equity strategy, and customer equity actions - measured by several formative indicators. The resulting formative operationalization satisfies the criteria for evaluating formative indexes.     

Customer retention and price matching: The AFPs case

Understanding the long-term price matching effects on CLV is important in evaluating the effectiveness of these policies in stimulating customer retention. In industries with low brand differentiation and low customer involvement (e.g., private pension system), it can be seen that choosing a brand is based on inertia. The objective of this article is to analyze the convenience for the firm of improving customer retention, by matching the lowest price in the Chilean private pension system. Results suggest that matching the industry's price leader reduces the firm's CLV, thus diminishing firm incentives to make this marketing effort.     

Salesperson CLV orientation's effect on performance

Previous studies show how strategies based on the customer lifetime value (CLV) can lead to an increase of profitability for a firm. In this context, marketing serves the purpose of maximizing CLV and customer equity (the CLV of current and future customers). For most types of service firms, salespeople are direct participants in implementing the CLV concept. However, prior research does not answer the question of whether or how salesperson CLV orientation can enhance profits. Using data on salespeople in a large Chilean retail bank, this study shows that the effect of salesperson CLV orientation on salesperson performance follows an S-shaped function (which is first convex and then concave). Additionally, data does not support the idea that the optimum level of CLV orientation depends on salesperson customer orientation, salesperson adaptive selling behavior, or salesperson experience (i.e., CLV-oriented behaviors could be effective across a wide range of salespeople). As such, this study addresses an important concern among researchers and managers that is related to how to increase the salesperson performance. The findings of this study suggest that firms need to monitor individual salesperson CLV orientation more closely.     

Measuring customer equity and managing the customer asset: an explanatory study in the Australian hotels

Although there are a range of conceptual and theoretical studies about customer equity (CE) measurement and management in the literature, there are few empirical studies where these two concepts are examined together. This paper focuses on the need for a more synthesised approach and addresses calls for more research into this specific area of marketing management. A conceptual framework was developed that synthesises both customer lifetime value and customer relationship management from a customer equity management (CEM) perspective. The framework was used to empirically examine how four CE strategies, together with a firm’s use of the two types of customer data (aggregated and disaggregated), impact on CEM outcomes. Data were collected from 114 hotel managers in Australia and analysed through a decision tree methodology. The results show that hotels are utilising their CE strategies for acquisition purposes more than retention purposes (customer asset management), which overall appears to satisfice more than maximise their hotel’s capacity in achieving effective CE outcomes. The study’s contribution to theory is through empirically testing a framework that combines two discrete theoretical concepts in one study to provide insights to guide future research.     

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.