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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Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

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.     

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.     

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.     

Interplays between manufacturer advertising and retailer store brand introduction: Agency vs. wholesale contracts

In retail supply chains, manufacturers' advertising for national brands and retailers' store brand introduction may relate to each other, and two types of contracts, i.e., agency contract and wholesale contract, are widely used. This paper uses game-theoretic models to investigate the strategic interaction between a manufacturer's advertising strategy and a retailer's store brand introduction strategy. We derive the equilibrium outcomes, including wholesale price, retail price, market demand, retailer's and manufacturer's profits under different contract forms. We find that when the product cost is small relative to the perceived value of the store brand, the introduction of a store brand will benefit the retailer. The retailer is more likely to introduce store brands under the wholesale contract than under the agency contract. In addition, compared with the wholesale contract, the agency contract may increase both the manufacturer's and the retailer's profits and lead to Pareto improvement for them.     

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.     

A generalized framework for estimating customer lifetime value when customer lifetimes are not observed

Measuring customer lifetime value (CLV) in contexts where customer defections are not observed, i.e. noncontractual contexts, has been very challenging for firms. This paper proposes a flexible Markov Chain Monte Carlo (MCMC) based data augmentation framework for forecasting lifetimes and estimating customer lifetime value (CLV) in such contexts. The framework can be used to estimate many different types of CLV models—both existing and new. Models proposed so far for estimating CLV in noncontractual contexts have built-in stringent assumptions with respect to the underlying customer lifetime and purchase behavior. For example, two existing state-of-the-art models for lifetime value estimation in a noncontractual context are the Pareto/NBD and the BG/NBD models. Both of these models are based on fixed underlying assumptions about drivers of CLV that cannot be changed even in situations where the firm believes that these assumptions are violated. The proposed simulation framework—not being a model but an estimation framework—allows the user to use any of the commonly available statistical distributions for the drivers of CLV, and thus the multitude of models that can be estimated using the proposed framework (the Pareto/NBD and the BG/NBD models included) is limited only by the availability of statistical distributions. In addition, the proposed framework allows users to incorporate covariates and correlations across all the drivers of CLV in estimating lifetime values of customers.

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Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

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.     

The antecedents of customer loyalty: A moderated mediation model of customer relationship management quality and brand image

This study examines the mediating role of customer relationship management (CRM) quality to better explain the effects of service evaluation variables (service quality, customer satisfaction and customer value) on customer loyalty. The study also investigates the moderating effect of brand image on these mediated relationships. The mediating role of CRM quality on the relationship between the service evaluation variables and customer loyalty is supported. Further, it is found that the indirect effect of customer satisfaction on customer loyalty via CRM quality is stronger when perceived brand image is high than when it is low. The results have implications for relationship managers, brand managers and scholars who use service evaluation and relational metrics to predict customer loyalty.     

Examining the relationship between customer bonding,customer participation,and customer satisfaction

This study empirically analyzes the relationship between customer bonding, customer participation, and customer satisfaction. It uses data from 804 VIP customers of South Korea's commercial banks. The hypotheses are tested using the structural equations modeling technique. The results show that social and structural bonding are the main antecedents of customer participation. Additionally, customer participation positively impacts customer participation value and worth. The findings also show that customer participation, customer participation value, and customer participation worth strongly and positively affect customer satisfaction. Furthermore, it finds that customer participation value and worth are essential mediators between customer participation and satisfaction.     

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%.     

Engaging the unengaged customer: The value of a retailer mobile app

Mobile apps are becoming a go-to tactic for retailers because they offer the promise of highly convenient digital engagement. We hypothesize that two types of customers are best served by these apps — “offline-only” customers currently purchasing exclusively from the retailer's physical store, and “distant” customers who reside far from the physical store. For offline-only customers, the app complements the physical engagement they currently have. For distant customers, the app offers convenient engagement their remoteness currently precludes. We model app access and purchase behavior of 629 customers who downloaded a retailer's app. We find that apps generate more incremental sales among distant customers compared to near customers, and more incremental sales among offline-only customers compared to online customers. On an illustrative base of 100 K app users, we find accessing the app would generate $2.3 M in incremental sales. Consistent with our segmentation results, we find that the users with the greatest purchase lift (9.5%) due to app usage are those that are distant and offline-only. Our results confirm the economic value of retailer apps and their role as a segmentation strategy to enhance customer engagement.     

The impact of personalised incentives on the profitability of customer retention campaigns

Traditional approaches to managing customer churn have typically concentrated on those customers most likely to defect. While accurately predicting customer churn probability is important, this metric alone does not sufficiently empower managers to make optimal decisions. Hence, the current study focuses on the relationship between retention incentives and profit maximisation. Specifically, we improve existing churn management practices by: (1) allowing for customer heterogeneity in incentive redemption behaviour, (2) introducing the dependence of the probability of accepting an incentive on its monetary value, and (3) offering an improved model for developing retention campaigns. We support our conclusions with empirical data and simulations and make tangible managerial recommendations.     

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.