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.

Customer-owned banking in Australia: from credit union to mutual bank

Since the 1990s financial sector regulation in Australia has treated credit unions and building societies the same as banks under the designated title of authorized depository institutions. This allows credit unions to choose between different organizational structures: cooperative; convert to customer-owned banks or to demutualize. This article utilizes semi-structured interviews to analyse the key motivations for organizational change. It examines a number of credit unions and their conversion experience to customer-owned banks. It finds that adaptation of the credit union model was necessary to change customer perceptions, ensure future growth in the customer base and assets, and facilitate access to capital raisings with the credit rating of a bank. Despite this change customer-owned banks retain the core principals of mutuality.

Preference mining techniques for customer behavior analysis

The thesis has studied a number of critical problems in data mining for customer behavior analysis and has proposed novel techniques for better modeling of the customers’ decision making process, more efficient analysis of their travel behavior, and more effective identification of their emerging preference.

Examining customer evaluations across different self-service technologies

Purpose – This study aims to examine the influence of different self-service technologies (SSTs) on customer satisfaction with and continued usage of SSTs. Specifically, it compares an interactive voice response (IVR) SST and an online SST from the same provider to assess how to manage these parallel SSTs.

Design/methodology/approach – A tracking study was used, beginning with a survey of n = 957 SST users to test a model pertaining to SST satisfaction across IVR and online SSTs. These SST users were then tracked over 12 months. The association between customer satisfaction with and continued usage of the SSTs was examined using behavioural data from the service provider.

Findings – While the overall model was found to be valid across both types of SSTs, perceptions of factors including ease of use, perceived control and reliability differed for IVR and online SSTs. Satisfaction with SSTs is linked with users’ continued use of SSTs, but is not a barrier to users’ adoption of newer SST forms.

Research limitations/implications – Highlighting the rapid developments in this field, a new SST was introduced by the provider to respondents during the 12-month tracking period, thus complicating the results. Further studies could include the customer purpose for using SSTs as a variable.

Practical implications – The findings offer support for organisations offering a suite of SSTs, even if they serve the same purpose. Customers evaluate SST types differently, and even satisfied SST users switch to different SSTs when they become available. Allowing customers to choose the SST that best suits them appears to be good practice.

Originality/value – This study develops a comprehensive model of customer SST satisfaction that is used to undertake a comparison of two different types of SSTs, which has been missing from prior research.

Business To Business (B2B) Service Processes: An Approach To Customer Complaint Process Evaluation Towards Service Excellence

Trabalho de Dissertação que identifica as decisões estratégicas relacionadas com a estrutura de gestão de serviços, no contexto de tratamento de reclamações. Os temas de recuperação de serviços e gestão de reclamações são discutidos e são listadas as melhores práticas com o objetivo de prover qualidade de serviço excelente. Este trabalho apresenta uma revisão da literatura sobre gestão de serviços e sua estratégia, e sobre valor aos clientes e sua satisfação. Qualidade de Serviço, Recuperação de Serviço e Gestão de Reclamações são revistos, também para contextualizar o processo de tratamento de reclamações de uma empresa do ramo industrial em ambiente de negócios entre empresas (business to business), cujos dados foram utilizados para construção do modelo de simulação de um processo de tratamento de reclamações. Os resultados desta simulação, junto com o suporte de um questionário sobre tratamento de reclamações, proveram pontos de reflexão e recomendações sobre desenho da estrutura de serviços e de seu desempenho, voltados para a satisfação dos clientes.

Customer intimacy strategy in B2B technology businesses in Colombia

The main objective of this Thesis is to analyze Customer Intimacy Strategy in B2B technology businesses in Colombia and the variables that have a direct relationship with it like perception, trust and networking. And how a Customer Intimacy Strategy can affect a company to achieve positive or negative results in an operation, in terms of business opportunities, relations and profitable and sustainable sales if properly managed or mismanaged. With a population of almost 50 million people, GDP average growth of 4.22%(considering 2013 up to 2017), a strategic geographic location in Latin America close to the middle of the region with direct access to the Pacific and Atlantic oceans, on the verge to reach a peace agreement ending its long time social and security conflict with the local guerrillas, Colombia is a country with a stable economic present and promising future. But despite the appealing business landscape and opportunities both in number and size, it is a developing economy where firms who are willing to run a startup or who currently have B2B technology operations in this country will find out that uncertainty and mistrust are two of the most critical variables that need to be overcome in order to achieve success. Their relevance will vary from one region to another, but will still be considered of most importance throughout the country. This matter is highly important to B2B technology businesses in Colombia because few firms are aware of the importance of customer intimacy strategy, believing that it is just a matter of social relationships and not considering the diverse number of variables such us perception, trust and networking that compose it. Customer intimacy strategy at the end becomes the main and most relevant source of sales in a B2B technology environment in Colombia.