Managing B2B customer churn, retention and profitability

It is now widely accepted that firms should direct more effort into retaining existing customers than to attracting new ones. To achieve this, customers likely to defect need to be identified so that they can be approached with tailored incentives or other bespoke retention offers. Such strategies call for predictive models capable of identifying customers with higher probabilities of defecting in the relatively near future. A review of the extant literature on customer churn models reveals that although several predictive models have been developed to model churn in B2C contexts, the B2B context in general, and non-contractual settings in particular, have received less attention in this regard. Therefore, to address these gaps, this study proposes a data-mining approach to model non-contractual customer churn in B2B contexts. Several modeling techniques are compared in terms of their ability to predict true churners. The best performing data-mining technique (boosting) is then applied to develop a profit maximizing retention campaign. Results confirm that the model driven approach to churn prediction and developing retention strategies outperforms commonly used managerial heuristics. © 2014 Elsevier Inc.

Comparing churn prediction techniques and assessing their performance: a contingent perspective

Customer retention has become a focal priority. However, the process of implementing an effective retention campaign is complex and dependent on firms’ ability to accurately identify both at-risk customers and those worth retaining. Drawing on empirical and simulated data from two online retailers, we evaluate the performance of several parametric and nonparametric churn prediction techniques, in order to identify the optimal modeling approach, dependent on context. Results show that under most circumstances (i.e., varying sample sizes, purchase frequencies, and churn ratios), the boosting technique, a nonparametric method, delivers superior predictability. Furthermore, in cases/contexts where churn is more rare, logistic regression prevails. Finally, where the size of the customer base is very small, parametric probability models outperform other techniques.

Understanding knowledge transfer in web-based B2B IT support

In managed information technology (IT) support environments, transferring solution-oriented knowledge from an IT service provider to an enterprise customer offers benefits to both firms. However, the process of inter-organisational knowledge transfer is not well understood in such complex settings where Web-based Self-service Systems (WSSs) are increasingly employed. This paper draws on findings from an interpretive study of six large multinational IT service providers to provide a staged model of after-sales knowledge transfer from an IT service provider to an enterprise customer when a WSS is used. The paper also identifies and discusses the key challenges involved at each stage.

Customer analytics managers' views about market research

Data based on survey responses from online questionaire directed at Customer Analytics managers in the United States. Respondents recruited were mainly in CRM, customer data warehouse or CA roles.

Success was measured on several items asking respondents to compare the success of their organisation with others in their industry on measures such as profitability and new product development. Items about the integration of MR and CA were included. These talked about effectively combining CA and MR for the purpose of identifying new markets and new segments as well as reducing churn.

Customer-focused CRM: a marketing challenge for organizations

The article explains that CRM is all about building longterm business relationships with customers. It is best described as the blending of internal business processes: sales, marketing and customer support with technology. Research indicates that poor project planning, weak and
incomplete business cases, cost and complexity of the technology, lack of.technological skills, lack of system integration and lack of senior management involvement in the CRM process are among the many factors that inhibit the successful adoption ofCRM in companies. The article presents a framework for customer centric CRM.

Customer repurchase intention: a general structural equation model

This paper develops a general service sector model of repurchase intention from the consumer theory literature. A key contribution of the structural equation model is the incorporation of customer perceptions of equity and value and customer brand preference into an integrated repurchase intention analysis. The model describes the extent to which customer repurchase intention is influenced by seven important factors – service quality, equity and value, customer satisfaction, past loyalty, expected switching cost and brand preference. The general model is applied to customers of comprehensive car insurance and personal superannuation services. The analysis finds that although perceived quality does not directly affect customer satisfaction, it does so indirectly via customer equity and value perceptions. The study also finds that past purchase loyalty is not directly related to customer satisfaction or current brand preference and that brand preference is an intervening factor between customer satisfaction and repurchase intention. The main factor influencing brand preference was perceived value with customer satisfaction and expected switching cost having less influence.

Intercultural service encounters : an exploratory study of customer experiences

Intercultural contact occurs on a daily basis across all facets of life, and is reflective of Australia’s multicultural society. This trend is observed in many Western industrialised nations and has contributed to a growing body of research and literature in the field of managing cultural diversity. While much of this research is focused on the internal context of the workplace, relatively little attention has been given to the impact of culture on the service provider and customer interface. In an effort to shed some light on the service experiences of culturally diverse customers, a series of exploratory interviews were conducted. The findings suggest that on the basis of service provider behaviors (both verbal and nonverbal), culturally diverse customers perceive they are the recipients of inequitable service and consequently experience low levels of satisfaction.

An empirical investigation of customer satisfaction and loyalty across two divergent bank segments

Customer satisfaction is an important indicator for customer loyalty, and numerous studies have identified the benefits that customer loyalty delivers to an organisation. Nevertheless, research also suggests that satisfied customers still defect. This study investigated the relationship between customer satisfaction and loyalty intentions within the Australian banking industry for two distinct customer segments, retirees and university students. Results indicate no significant difference in the satisfaction levels of either group; however, there were differences with respect to two of the five behavioural intentions dimensions: loyalty and switch. Satisfaction was found to have a significant impact on three of the five behavioural intentions dimensions: loyalty, pay more and external response, suggesting that management should initiate service policies aimed at securing improvements in customer satisfaction. However, there are also other constructs at work aside from satisfaction in determining future behavioural intentions.

Management and business issues for B2B eCommerce implementation

Until recently little research had been undertaken into the process of eCommerce implementation, especially in relation to the implementation of business-to-business (B2B) relationships. Given the complexity of this process we have, in this paper, endeavoured to contribute to what we perceive as a gap in the body of theory surrounding the implementation process in the extant business-to-business literature. We describe the findings of a series of multiple case studies comprising ten major Australian eCommerce initiators. In addition to confirming our earlier finding of the importance of nontechnical factors for the success of the implementation process we also present, through our case studies, the various management and business issues associated with the success or otherwise of B2B eCommerce implementation.

Analysis of stakeholder concerns with a view to avoid organisational conflict in B2B systems

In recent years there has been a remarkable increase in information exchange between organizations due to changes in market structures and new forms of business relationships. The increase in the volume of business-to-business (B2B) transactions has contributed significantly to the expanding need for electronic systems that could effectively support communication between collaborating organizations. Examples of such collaborating systems include those that offer various types of business-to-business services, e.g. electronic commerce, electronic procurement systems, electronic links between legacy systems, or outsourced systems providing data processing services via electronic media. Development and running of B2B electronic systems has not been problem free. One of the most intractable issues found in B2B systems is the prevalence of inter-organisational conflict reported to exist and persists between the participants of interorganisational electronic networks. There have been very few attempts, however, to prescribe any practical method of detecting the antecedents of such conflict early in B2B development to facilitate smooth construction and the subsequent operation of B2B services. The research reported in this paper focuses on the identification and analysis of antecedent conflict in a joint process involving different organizations in a B2B venture. The proposed method involves identification of domain stakeholders, capturing and packaging their views and concerns into a reusable form, and the application of captured domain experience in B2B systems development. The concepts and methods introduced in this paper have been illustrated with examples drawn from our study of six web-enabled payroll systems.

Customer characteristics, satisfaction, and repurchase intention

One area of services marketing which has remained relatively underdeveloped, is the nature of the relationship between customer satisfaction and loyalty, and the moderating influences on this relationship, despite the fact that loyalty is essential for service business survival (Reichheld, 1993). This paper reports research regarding the relationship between consumer satisfaction, repurchase intention, and demographic characteristics. A telephone survey was conducted of 500 city residents, focusing on their visitation of tourism special events. The study found support for the findings of some recent, non-Australian, non-services research studies, in that respondent demographics were found to moderate the relationship between satisfaction and repurchase behaviour (in this case, repurchase intention), in an Australian services context.

Classifying Australian B2B imarketplaces : an Australian survey

Existing research on B2B iMarketplaces (and the intermediaries which operate them) has tended to focus on viewing US iMarketplace web sites or conducting case studies. This paper builds upon thsi work by conducting a survey of the total identifiable population of Australian B2B iMarketplace intermediaries to determine whether the classifications of such iMarketplaces provided in the literature apply in the Australian context. The paper also provdies a preliminary classification scheme which is intended to provide researchers with a framework for studying and describing the evolution of B2B iMarketplaces over time.