Developing a customer equity model for guiding marketing spend in the financial services sector

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dc.contributor.author Bick, Geoffrey Norman Charles
dc.date.accessioned 2008-05-26T06:29:06Z
dc.date.available 2008-05-26T06:29:06Z
dc.date.issued 2008-05-26T06:29:06Z
dc.identifier.uri http://hdl.handle.net/10210/461
dc.description.abstract Organisations are increasingly under pressure to meet financial and other objectives in dynamic and competitive markets, that are being driven more by services than by products. Marketing as a function needs to become more accountable with respect to the marketing investments that are made and the returns generated from these programmes, and hence to increase shareholder value. Intangible assets are comprising a growing proportion of this shareholder value, to the extent that 75% of the value of the organisation is currently made up of intangibles such as Human Equity, Brand Equity and Customer Equity. Thus the marketer needs to build the marketing-based intangible assets of Brand Equity, the inherent value of the brand, and Customer Equity, the sum of the lifetime values to the organisation of its current and future customers. To be able to monitor and manage marketing’s contribution, these assets need to be measured, and the effectiveness of marketing programmes needs to be determined ideally in financial terms, e.g. ROMI – Return on Marketing Investment. The purpose of this research study was to develop and test a framework of Customer Equity in the financial services sector, to guide marketing spend so that shareholder value is built by leveraging the marketing intangibles. Consequently, the objectives were to develop a model of Customer Equity, to calculate Customer Lifetime Value of customers in a segment, to determine the value drivers and the elasticity relation of Customer Equity, and finally to provide guidelines to organisations to improve their Customer Equity. The first area of research was in the field of Marketing metrics, the set of measures that helps organisations to understand their marketing performance. The recommendation for organisations is to develop a marketing dashboard, or range of key marketing indicators, which would include short-term performance measures, e.g. market share or customer satisfaction, as well as long-term planning measures, e.g. Brand Equity and Customer Lifetime Value. Brand Equity was then reviewed as a valuable intangible asset. Various models have been developed to explain the different sources, components and outcomes of ii Brand Equity, as it is a multidimensional construct. The measurement and valuation of Brand Equity was also researched, and its link to shareholder value. Customer Equity, an alternative market-based intangible asset that can be a driver of shareholder value, was also reviewed. The conclusion from a review of the models is that there are two schools: the Blattberg, Gupta and colleagues school, which tends to focus on internal analysis as typically used in direct marketing applications; and the Rust and colleagues school, which tends to focus externally on the customer and the competition. Both schools have something to contribute: the internal school, on accurate understanding of Customer Lifetime Value, and the external school, on the relative importance of the drivers of Customer Equity. This research also makes a contribution to the Brand Equity / Customer Equity debate, analysing similarities and differences, and developing a model to explain the trade-off between the two concepts. A combination of the two schools was used to develop a model of Customer Equity, including supply side inputs (for accurate CLTV calculations) and demand side inputs (for determining drivers and their elasticities). Using input from the databases of a financial institution, Customer Lifetime Value and Customer Equity for customers in the SME market sector were calculated. A convenience sample of 251 SME’s was interviewed on the demand side using a structured questionnaire, to develop data on the drivers of their importance and the relative performance of banks. A statistical model was then developed, using Principal Components Regression (PCR) analysis, to determine the drivers of Customer Equity, the factors influencing these and the relative sensitivities. A key contribution of this research was the development of the Probability of Defection as a measure of the dependent variable in the multiple regression. The model was tested by determining the ROI of two marketing programmes from the financial institution, to guide their marketing spend. Finally, a Customer Equity Management Process was developed to assist organisations in implementing a Customer Equity focus. en
dc.description.sponsorship Prof. Chris Jooste en
dc.language.iso en en
dc.subject Customer relations en
dc.subject Relationship marketing en
dc.subject Financial services industry en
dc.subject Customer services marketing en
dc.title Developing a customer equity model for guiding marketing spend in the financial services sector en
dc.type Thesis en

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