Does managing customer accounts receivable impact customer relationships,and sales performance? An empirical investigation

The impact of accounts receivables on the performance of salespersons is largely ignored in sales literature. However, in many sales contexts, managing customers' accounts receivables is directly managed by the salespeople, and therefore substantially impacts their sales performance. Towards such sales contexts, in this empirical study, we study the effect of customer account receivables and salespersons' customer orientation on their relationship orientation and customer-related performance. We further analyse the direct impact of relationship orientation on customer-related performance. Using survey-based data from 224 salespersons based out of India, we empirically test the proposed model using partial least squares structural equation modelling. Our findings suggest that accounts receivables from customers and salespersons ‘customer orientation strongly impact relationship building and also improves customer-related performance. The salespersons’ relationship orientation also partially mediates the relationship between customer account receivables and customer-related performance. Therefore, this study provides much-required evidence to establish the salience of salesforce appropriately managing customers' account receivables so that its impact on their sales performance customer relationships are not adversely affected.     

Salesperson implementation of sales strategy and its impact on sales performance

ABSTRACT

It has been observed in the academic and practitioner literature, a disconnect between the activities of salespeople and the sales strategy espoused by sales organizations. This study examines organizational and individual factors that can influence salespersons’ willingness and ability to implement sales strategy. This paper also seeks to examine the performance implications of sales strategy implementation by salespeople. Data were collected from a sample of 190 business-to-business salespeople in different industries. The study’s hypotheses were tested using partial least squares (PLS). The results of the study show that the different types of sales force control (behavior control and outcome control) has contrasting effects on salesperson market and technical knowledge and salesperson implementation of sales strategy. The results also demonstrate that when salespeople implement sales strategy as part of their sales process, it has a positive effect on their sales performance.     

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.     

Modeling CLV: A test of competing models in the insurance industry

Customer Lifetime Value (CLV) is one of the key metrics in marketing and is considered an important segmentation base. This paper studies the capabilities of a range of models to predict CLV in the insurance industry. The simplest models can be constructed at the customer relationship level, i.e. aggregated across all services. The more complex models focus on the individual services, paying explicit attention to cross buying, but also retention. The models build on a plethora of approaches used in the existing literature and include a status quo model, a Tobit II model, univariate and multivariate choice models, and duration models. For all models, CLV for each customer is computed for a four-year time horizon. We find that the simple models perform well. The more complex models are expected to better capture the richness of relationship development. Surprisingly, this does not lead to substantially better CLV predictions.

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.     

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 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.     

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.     

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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基于口碑效应的客户终身价值改进模型

本文认为,客户终身价值(CLV)模型是客户关系管理的核心,企业决策者应将有限的资源投放到最有价值客户身上,保持和提高这些客户的价值,为企业赢得长远利益。文章在剖析前人客户终身价值模型的基础上,建立了基于口碑效应的客户终身价值改进模型,更客观地反映了客户消费行为,提高了客户终身价值模型预测的准确性。通过改进模型计算可以知道,满意客户因为积极的口碑效应使自身客户价值放大,不满意客户因为消极的口碑效应使自身客户价值缩小。     

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.     

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。     

Strategy for New Product Development

Abstract

This study evaluates the reasons why new products fail, and recommends a Strategy for New Product Development to avoid such failures. Using a sample of four products, the Ford Edsel, Coca-Cola's New Coke, the Sony Betamax, and the RCA Videodisc, where the introduction of a new product was unsuccessful, as research data, it is determined that the most common reasons for a products failure are poor planning, poor management, poor concept, poor execution, poor use of research, poor technology, and poor timing. A recommended strategy for successful new product development includes a sound concept, an environmental assessment, management and planning, technological feasibility, research, quality assurance, and customer feedback.     

Perceived customer showrooming behavior and the effect on retail salesperson self-efficacy and performance

The increasing product commoditization and price transparency afforded by online retail channels have left many brick and mortar stores bearing the costs associated with being used as a physical showroom without reaping the rewards of the final sale. As customers continue to take advantage of retail stores to gather information and turn to competing channels for purchasing, the role of the retail salesperson has shifted and retailers have been left without a clear understanding of how to manage this change in the retailing landscape. In this research, we first define “showrooming” – and investigate individual (i.e., salesperson)-level experiential consequences of perceived showrooming. We find negative relationships between perceived showrooming and salesperson self-efficacy and salesperson performance, which are positively moderated by salesperson coping strategies and cross-selling strategies. Our findings suggest that the negative effects of showrooming can be combated though specific salesperson behaviors and strategies. Further, exploratory findings at the store level reaffirm a negative relationship between perceived showrooming behaviors and performance. Finally, we discuss the theoretical and practical implications of our findings and offer specific managerial actions to address showrooming.     

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.     

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.     

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.     

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.     

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.