Managing your most loyal customer relationships

Conventional wisdom regarding customer relationships suggests that a company should strive to deepen the loyalty of its customer base. While multiple approaches have been suggested, each approach advocates moving a subset of the customer base from one level of affinity (e.g., neither satisfied nor dissatisfied) to a higher one (e.g., satisfied). While seemingly appropriate, this approach assumes that moving customers up to higher categories is important and should be the focus of a firm’s efforts. Instead, we recommend an approach that involves focusing a firm’s resources disproportionately on its most satisfied customers. This approach provides two major benefits relative to conventional approaches. First, it focuses a firm’s resources on a narrow segment of customers. Hence, it requires significantly less financial outlay and associated financial risk than any approach that is aimed at all or even a majority of customers. Second, as we demonstrate, the financial benefit from leveraging high satisfaction levels among a subset of the current customer base significantly exceeds the financial benefit of other strategies (e.g., moving customers up from neutral to satisfied). We present the results from two case studies that illustrate our main points and provide useful examples of how to leverage a firm’s highly satisfied customers.     

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.     

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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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.     

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.     

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.     

The impact of customer-specific marketing expenses on customer retention and customer profitability

We study the effects of customer-specific marketing expenses on customer retention and customer profitability in a business-to-business setting. Using data from a company providing hygiene services, we look at the impact of a hitherto unstudied type of expense targeted at individual customer relationships: the offering of free equipment to customers. The data allow tracking the activities performed in more than 4,500 customer relationships over a period of 4 years. Retention rates are higher for customers targeted with free equipment, but this effect results from an interaction with customer size. First-order dynamic panel data analyses show that the impact of targeted marketing expenses on customer dollar profit is positive for large customers, but there is no effect for smaller customers. Thus, targeted marketing expenses seem to be a tool for relationship maintenance rather than customer development: they help in retaining large customers that generate more profit, but they do not seem to work in developing new customers into larger, more profitable ones.     

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.     

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.     

The influence of customer loyalty program design on the relationship between customer motives and value perception

Despite the strong use in marketing practice, the effectiveness of loyalty programs is still heavily questioned among researchers. In our study we present an empirically tested framework that views customer loyalty programs (CLPs) with their differing designs as a moderating tool in a means-end relationship between customer motives and value. By disentangling customer value perceptions of loyalty programs we contribute to the remaining question of the efficacy of CLPs and set the road for further research. Our results support the argument that CLPs can be an effective tool and are not only something that adds to the value of a product or service, but rather creates value by itself. However, this is only the case for programs that target prevailing customer motives and hence provide a higher level of perceived value.     

Will the frog change into a prince? Predicting future customer profitability

More and more companies have customer databases that enable them to analyze customer profitability over time. These companies often seek to determine the most important customers as indicated by their current or historical profitability and focus attention on them. Focusing on profitable customers can result in more efficient use of marketing resources, but this approach neglects the fact that customers can evolve over time. Some customers begin as low-profit customers but eventually develop into high-profit customers. Others may start out as high-profit customers but become unprofitable over time. Previous efforts to predict future profitability have been relatively unsuccessful, with relatively simple, naïve models often performing just as well as or better than more sophisticated ones. Our paper presents a new approach to predicting customer profitability in future periods that performs significantly better than naïve models. We estimate the models on data from a high-tech company in a business-to-business context and validate the models' predictive ability on a holdout sample.We show that a model based on simulation of customer futures provides large improvements over naïve extrapolation of average profits. By using the simulation model to select customers, ROI from marketing efforts is projected to increase by 58%.     

From perceptions to propositions: Profiling customer value across retail contexts

The core claim made in the paper is that retailers wishing to identify and manage competitive customer value propositions succeed by measuring and modeling customer value perceptions with reference to specific contexts relevant for their competitive advantage. Hence, the purpose of the paper is to present development and validation of a scale for measuring and modeling customer value and to illustrate how contextual perspective contributes to the evaluation of customer value propositions. The findings, based on empirical data from Finland, Japan, and the U.S., validate a framework wherein customer value reflects economic, functional, emotional, and symbolic dimensions of value, associating with satisfaction and word of mouth effects. The customer value profiles generated on this basis provide analytical insight for evaluating how country, channel, product category, and competitive situation influence the criteria for contextual evaluation of customer value propositions.     

Strategies for creating value through individual and collective customer experiences

Despite tremendous interest in how online communities create value, existing research tends to focus on limited means through which such value is generated. In this article, we develop a conceptual model of customer value formation. This model rests on two dimensions, namely whether value is formed in the customer or provider domain and whether the value is individual or collective in nature. This enables value formation to be characterized in four ways and enables a more nuanced view of value formation to emerge. Firms are encouraged to reflect on their efforts to support each of the four value formation types. In particular, our conceptualization challenges companies to consider customer contexts outside of customer-firm interaction as important sources of value creation for customers. Such reflection enables practitioners to develop strategies for supporting individual and collective value creation across both the customer and provider domains.     

The role of lifetime activity cues in customer base analysis

This paper develops the notion of lifetime activity cues in customer base analysis. The authors first discuss the impact of lifetime indicators, such as customers' conceptual response to marketing activities, and then demonstrate how such lifetime cues can be embedded into the Pareto/NBD model. The authors theoretically analyze the implication of this additional behavioral indication on the model's predictions. In an illustrative example, they aim to establish an intuitive understanding of the effects of such information. Evidence from the cellular phone industry supports the relevance of this concept: The empirical study finds a substantial improvement in predictive accuracy in two independent holdout samples. The study concludes with a discussion of the managerial relevance of the proposed approach and opportunities for further research.     

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.     

Managing customer experiences in online product communities

Many companies have established online product communities or forums as a vehicle to extend product support services to their customers. Customers' interactions in such online forums with peer customers and vendor representatives resolve their product-related queries as well as inform on their product purchase decisions. Despite the significance of such interactions, there has been limited theoretical attention so far on how companies can manage customer experiences in online product communities. Drawing on theories and concepts from diverse areas including computer-mediated communication, consumer psychology, and online communities, this study proposes a four dimensional construct - Online Community Experience (OCE) - to capture customer experiences in such online product communities, and examines its impact on customer attitudes regarding the product, the company, and the quality of service. Data collected from customers in online product forums offered by four companies is used to test the study hypotheses. Implications for research on online consumer behavior and marketing are discussed.     

Co-production and customer loyalty in financial services

Recent developments in marketing thought and practice highlight the opportunities that co-production of services provide for creating customer value. The authors propose a model of co-production with which they investigate the links between co-production and customer loyalty and the factors likely to increase the level of co-production in a financial services context, with support from an investigation in the medical services context. Further, the authors consider the relationships of customer expertise, customer–advisor communication, customer affective commitment, and interactional justice with the level of co-production. On the basis of testing with a sample of 1,197 customers of a large multinational financial services organization and 100 patients of medical services, the model is partially supported. Therefore, the authors suggest that co-production may have an important role as a basis for competition in the financial services industry.     

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.     

Modeling customer value perceptions in cross-cultural business markets

Even as customer value research in business-to-business markets burgeons, scholars still circumscribe its progress to studies performed in domestic, Western markets and call attention to the ongoing lack of consensus for how to model customer value. To advance the validity and usefulness of this emerging core construct in marketing, this study investigates the measurement equivalence and modeling of customer value perceptions with business managers across five culturally-diverse countries. Analyses draw clarity to the divergent modeling of customer value in the literature by exploring alternative measures and model specifications within structural equations modeling (SEM) and partial least squares (PLS). Comparisons of eight models reveal several valid and invalid conceptualizations reported previously in the literature and generate guidance for managers and scholars modeling customer value in various research contexts.