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.     

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.     

CLV

SUMMARY

It is becoming increasingly clear from the literature that there is a need for a metric that can objectively measure future profitability of the customer to the firm. This paper traces the emergence of such a metric—the customer lifetime value (CLV) and discusses the two measures of computing CLV—the aggregate approach and the individual level approach. Subsequently, eight strategies that are available to firms for maximizing CLV are discussed. These strategies assist firms in deciding how to: select the best customer, make loyal customers profitable, optimally allocate the resources, pitch the right product to the right customer at the right time, link acquisition and retention to profitability, prevent customer attrition, encourage multi-channel shopping behavior, and maximize brand value. Each of these strategies was successfully implemented by different firms across various industries, resulting in significant increases in the bottom-line. Further, the challenges in implementing a CLV-based framework in a B-to-C organization are also discussed with an illustration.     

Utilizing the access value of customers

Customers are critical resources for the success of any business, not only because they bring in sales and profits directly, but also because of their access value in a world that is becoming increasingly interconnected. However, the mechanisms by which the customer access value may be exploited and the implication for management has not been well understood. Access value can be defined as the worth of utilizing patrons for further marketing and sales of value-added or third party products. The access value, which mainly results from the aggregation of the customer base and customer data, is essentially a corporation's internalized asset. This article shows that the size of the customer base and the extent of engagement have a significant impact on the customer access value. To develop and gain the benefits of customer access value, traditional business models often need to be transformed: firms and platforms should provide free or subsidized products to attract people and then embed value-added products to make money. The success of the new business model depends on not only the right pricing and product strategies, but also an embedding strategy.     

The role of customer gratitude in making relationship marketing investments successful

This paper recognises that customer loyalty is important for many competitive organisations, and that retail firms make investments to build and maintain loyal relationships with their existing and potential customers (e.g. loyalty programs). However, there has been little focus on the mechanisms by which these relationship investments operate to achieve customer loyalty. This paper examines one mechanism, namely customer gratitude, which works to make a firm’s relationship marketing investment a success or a failure. Using data from 1600 undergraduate students, this study empirically confirms the mediating role of customer gratitude between the customers’ perceptions a firm’s relationship marketing investments and customers’ perceptions of the value of the relationship with the firm. Further, a significant moderating effect of perceived benevolence on the relationship between customers’ perceptions a firm’s relationship marketing investments and customer gratitude was identified. For theorists, this customer gratitude model offers a better psychological explanation of how relationship marketing investments operate to improve the value that customers place on their relationships with retailers. Our research suggests that managers should invest resources to stimulate customer gratitude in order to build strong customer–seller relationships.     

Linking customer resources to firm success: The role of marketing program implementation

Drawing from both resource-based view and dynamic capabilities theory, this research investigates how customer resources (i.e., knowledge and network size) influence firm performance through marketing program implementation. The current research shows that customer resources are critical to the development and execution of marketing programs, which can then lead to firm success. Through surveying 269 retailers, this study finds that while customer knowledge directly affects marketing program implementation, it does not directly influence firm performance. In contrast, customer network size not only directly contributes to marketing program implementation and firm performance, but also serves as a significant moderator.     

Customer base analysis with recurrent neural networks

One of the primary goals that researchers look to achieve through customer base analysis is to leverage historical records of individual customer transactions and related context factors to forecast future behavior, and to link these forecasts with actionable characteristics of individuals, managerially significant customer sub-groups, and entire cohorts. This paper presents a new approach that helps firms leverage the automatic feature extraction capabilities of a specific type of deep learning models when applied to customer transaction histories in non-contractual business settings (i.e., when the time at which a customer becomes inactive is unobserved by the firm). We show how the proposed deep learning model improves on established models both in terms of individual-level accuracy and overall cohort-level bias. It also helps managers in capturing seasonal trends and other forms of purchase dynamics that are important to detect in a timely manner for the purpose of proactive customer-base management. We demonstrate the model performance in eight empirical real-life settings which vary broadly in transaction frequency, purchase (ir)regularity, customer attrition, availability of contextual information, seasonal variance, and cohort size. We showcase the flexibility of the approach and how the model further benefits from taking into account static (e.g., socio-economic variables, demographics) and dynamic context factors (e.g., weather, holiday seasons, marketing appeals). We make an open-source reference implementation of the newly developed method available at https://github.com/valendin/rfm2lstm.     

Drivers of the cost of capital: The joint role of non-financial metrics

Recent marketing studies suggest that non-financial metrics, such as customer satisfaction and brand value, help explain the variation in the cost of equity and the cost of debt. These studies typically focus on only one non-financial metric and one component of capital cost. In this study, we broaden the understanding of the relevance of non-financial metrics to the cost of capital. We investigate the joint role of customer satisfaction, brand value, and corporate reputation for stock market beta and credit ratings, which reflect variation in equity and debt risk premiums across firms. In addition to the joint direct influence of these metrics on capital cost, we also study their interaction effects. We develop a conceptual model to explain the effects on capital costs and test the resulting hypotheses in a broad sample of 344 firms from diverse industries using data from the 1991–2006 period.     

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-Based Valuation

Customer lifetime value (CLV) has emerged as an important metric to manage and grow customers. Marketing scholars have written many books and articles on this topic. However, most of this research has focused on tactical marketing decisions. While this is important, it is not enough to gain attention of senior managers who are concerned about firm level metrics such as stock price. To have greater impact marketing needs to go beyond brand-level profits to show the impact of marketing actions on firm profitability. In this paper we focus on customer lifetime value and its link to firm value. We discuss research that provides customer-based valuation of firms and suggest directions for future research.     

Receiving,Recording, and Responding to Customer Complaints: The Effects of Formalizing Customer Complaint Handling Policies in Retail Firms

ABSTRACT

Given the critical need for retail firms to provide high quality customer service and satisfaction, this article investigates the importance of formalizing customer complaint handling policies and procedures with regard to its relationship to the ways in which retail companies receive, record, and respond to customer complaints. A survey of 184 firms from the retail environment of a midsized community reveals that the existence of such formalized procedures is significantly associated with firm size, better channels of communication with customers, mechanisms of recording customer feedback, and better-trained employees, which have been shown to relate to higher firm performance.     

The complex firm financial effects of customer satisfaction improvements

It has been widely assumed that increases in customer satisfaction have continuous financial benefits for firms. However, recent meta-analysis results and anecdotal evidence suggest substantial variability in satisfaction-performance effects. We propose and investigate three explanations for this variability: (1) changing trade-offs of financial benefits vis-à-vis costs along the satisfaction continuum, (2) varying stickiness of benefits and costs over time, and (3) contextual effects related to a firm’s marketing strategic situation. For our empirical investigation, we used customer satisfaction scores and financial data for around 100 U.S. firms over a 15-year period. The results show that revenues and savings in marketing and acquisition costs can accelerate at high satisfaction levels. However, for many firms, operating costs and capital investments also accelerate, and shareholder returns for satisfaction improvements can become negative. Tests over different assessment horizons show that operating cost increases are sticky while top line benefits fade. Finally, firm strategy, offering customization, potential of customer word of mouth, and competitive innovation pressure determine the satisfaction payoffs. Our study will help managers to predict more accurately than before the financial effects of their customer-directed investment decisions.     

The performance implications of outsourcing customer support to service providers in emerging versus established economies

Recent discussions in the business press query the contribution of customer-support outsourcing to firm performance. Despite the controversy surrounding its performance implications, customer-support outsourcing is still on the rise, especially to emerging markets. Against this backdrop, we study under which conditions customer-support outsourcing to providers from emerging versus established economies is more versus less successful. Our performance measure is the stock-market reaction around the outsourcing announcement date. While the stock market reacts, on average, more favorably when customer-support is outsourced to providers located in emerging markets as opposed to established economies, approximately 50% of the outsourcing firms in our sample experience negative abnormal returns. We find that the shareholder-value implications of customer-support outsourcing to emerging versus established economies are contingent on the nature of the customer support that is being outsourced and on the nature of the outsourcing firm. Customer-support outsourcing to emerging markets is less beneficial for services that are characterized by personal customer contact and high knowledge embeddedness than for customer-support services that involve impersonal customer contact and are low on knowledge embeddedness. Firms higher in marketing resource intensity and larger firms benefit more from outsourcing customer-support services to emerging markets than firms lower in marketing resource intensity and smaller firms.     

Matching the Personal Initiative Capabilities of FLEs to Their Self-Regulatory Processes and the Firm's Initiative Climate

Frontline employees (FLEs) — the people behind the counter, on the phone, or walking the shop floor — can profoundly affect the customer experience. Harnessing the capability of FLEs to positively shape customer experiences is critical for service firms.However, placing the right employee in the right frontline role is not an easy task. To deliver positive service experiences, FLEs must be customer-oriented, placing customers’ interests first. In addition, FLEs need to demonstrate personal initiative by going beyond prescribed job roles to find solutions to customer problems. We propose that personal initiative is an important mediating variable in the relationship between customer orientation and FLE performance. Further, we examine whether this relationship is strengthened or weakened when a firm’s climate encourages initiative-taking behavior and FLEs have a prove or avoid orientation, or engage in deep or surface acting. We test the model across two studies using a multi-respondent data collection procedure within the retail banking sector. Our findings demonstrate that personal initiative mediates the relationship between customer orientation and FLE performance. Notably, this effect is stronger when a firm’s climate encourages initiative-taking and when FLEs have a prove orientation or engage in deep acting, and that the effect is weaker when FLEs have an avoid orientation or engage in surface acting. Our findings underscore that it is only when the fit between FLEs, their roles, and the work climate is right that firms will get the best out of their employees (c.f., Arthur et al. 2006; Kristof-Brown et al., 2005).     

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。     

Leveraging firm-level marketing capabilities with marketing employee development

Using the theoretical foundations of the resource-based view of the firm, this study develops and measures marketing employee development capabilities and investigates how it moderates the relationships between brand and customer relationship management capabilities and firm performance outcomes. Based on a random sample survey of chief marketing executives from selected industries, combined with objective firm performance indicators and controls, results demonstrate that marketing employee development capabilities can leverage the relationships between firm-level marketing capabilities and customer satisfaction, market effectiveness, and objective financial performance. Further, these results show that such capabilities can be complementary and, in some cases, even substitute for each other, which improves organizational performance. Implications for researchers and marketing managers are discussed.     

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.     

Timeliness,transparency, and trust: A framework for managing online customer complaints

This article discusses several practical solutions for dealing with online customer complaints. Online complaints are inevitable; how a firm responds can make the difference. There are techniques that managers can use not only to minimize the detrimental impact of online complaints, but also to produce beneficial outcomes. Herein, we introduce our 3T framework, designed to help managers and support teams respond to online complaints in a thoughtful and measured way. We build on word-of-mouth research and several theories from marketing, service marketing, journalism, and business ethics. With so many reviews posted online every second, firms must employ best practices grounded in empirical research and solid conceptualization to deal with this important component of online customer service.     

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.     

Service value revisited: Specifying a higher-order, formative measure

Recent marketing literature pays particular attention to customer value because of the potential impact on customer behavior and, ultimately, firm performance. Whereas some studies conceptualize customer value in a unidimensional manner, more recent approaches take a multidimensional approach, generally conceptualizing value as composed of various benefits and sacrifices. However, nearly all of these studies consider value components in a reflective manner, which is not only problematic but in many cases conceptually incorrect. In addition, recent customer value research includes service components to define and operationalize the construct. This study suggests that customer value in service contexts, or service value, represents a higher-order, formative construct with benefit and sacrifice components. Specifically, the authors propose a formative model of service value with four components: service quality, service equity, confidence benefits, and perceived sacrifice. A multiple-industry study substantiates the contention that this higher-order, formative approach best models value. The results theoretically and empirically support the conceptualization of service value with formative components, and the measure is robust and works well across multiple service contexts.