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The purpose of this paper is to examine the associated customer acquisition costs of public libraries. The intention of the paper is to develop awareness of the hidden costs associated with customer acquisition, and develop assessment tools or models to effectively manage the resources associated with customer acquisition to aid library administrators in strategic budgeting and planning.

The paper is prepared through review of the library and business literature associated with customer acquisitions. No definitive data on customer turnover rates or models of assessing customer acquisitions cost are identified in the review of the literature.

While not identified or managed systematically, the calculation of customer acquisition costs, customer turnover rates, and the effective management of associated customer acquisition cost is strategically imperative for public libraries. Public libraries generally do not track customer turnover or the associated costs of acquiring new or replacement customers that come about due to this turnover. There is not a definitive estimate of customer turnover in public libraries, so exact costs determination will vary by public library system. Public libraries can reduce their customer acquisition costs through the retention of current customers with high quality service and in effectively managing the customer acquisition process in the strategic budgeting and planning processes of the library.

Libraries that can effectively acquire new or replacement customers and manage the costs of this process will more effectively utilize resources and maximize customer value for the library. This paper proposes several cost assessment calculations to help guide library administrators in making strategic decisions.

The cost of customer acquisition is one of the largest expenses that service firms incur due to loss-generating quotes/proposals. This paper aims to connect interactive marketing communications channels with increased customer acquisition and non-interactive marketing communications channels with decreased customer acquisition by service firms.

Two field studies using hazard models were used to assess the probability of acquiring a new customer after the prospect first contacts the firm. Multiple discrete hazard models were used to compare channels against each other.

Three interactive marketing communications channels (word-of-mouth, online review forum, search engine optimization) increased the rate of acquiring a customer over time. I also compared non-interactive channels (billboard/signage, direct mail), but the analysis did not reveal any significant impact on acquisition rate by the non-interactive marketing communications channels.

The present study illustrates why the cost of acquisition is so high in the service sector and takes the unique step of linking interactive marketing communications channels with higher customer acquisition rates over time in a services context. Specifically, interactive marketing channels enable customers to find firms that offer the attributes that they seek, thereby increasing acquisition probabilities and decreasing acquisition costs.

Synthesis of the customer lifetime value and the shareholder value (SHV) approach in order to develop an integrated, marketing‐based method for corporate valuation.

Discusses the limitations and assumptions of existing methods to estimate customer value components and examines the limitations of the SHV concept. By linking the customer equity (CE) and the SHV approach, a formal model to calculate corporate value is developed. The discounted cash flow method is used for modelling the profit streams.

Provides formulas for the estimation of both the individual lifetime value of a customer and CE. Provides a comprehensive model to estimate corporate value based on customer‐related cash flows and traditional financial metrics. Introduces typical cases, in which the use of a customer‐based valuation seems beneficial. Illustrates how our approach can be applied by using a simple case study on M&A in the telecommunication industry. Gives suggestions on how to obtain the necessary data, partially even from publicly available sources.

Advancement of the quantitative techniques for modelling the customer value components would allow for relaxing some restrictive assumptions. The explicit modelling of the future growth of the customer base (the acquisition rate) would increase the applicability of the model. Additionally, taking into account heterogeneity within the customer cohorts is a task for future research. Finally, our model needs to be applied more extensively using real data for the input variables.

A CE‐based valuation approach can guide marketing investments and helps to avoid misallocation of resources. Based on an example in the field of M&A, we demonstrate the usefulness of the approach for obtaining a realistic indicator of firm value. It helps to assess whether an acquisition is economically sensible. We provide evidence for the superiority of a customer‐based approach over traditional financial methods.

While the traditional SHV method considers cash flows at a highly aggregated level, our approach employs disaggregated cash flows on the level of individual customers. Thereby we do incorporate the lifetime values of future customers by considering different cohorts. We do capture customer defection by incorporating retention rates. Our model enables a more detailed and valid estimation of corporate value by accounting for the single customer activities that drive marketing actions. This enables a better forecasting of the free cash flow. Incorporating customer‐related drivers into financial valuation models makes easier to assess the return on marketing investments.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

The aim of this chapter is to develop a performance measurement framework for understanding the relationships among drivers of customer profitability in internet companies.

We recognize an opportunity to improve management control systems for internet companies, where performance measurement systems currently focus on measuring web data, such as number of customers, cost of service, cost of acquisition (CoA), and churn rate. However these indicators, taken separately, do not provide useful information to make decisions.

To fill this gap we developed a framework, which we designate as the Lifetime Value Scorecard, to investigate the relationships between customer data and financial data, providing an early indication as to whether or not the marketing strategies being implemented are successful. We then offer an application of the Lifetime Value Scorecard to the mobile value-added services industry, where content and services are provided to consumer cell phones, mainly using wireless networks.

This exercise is one in a series intended to help students learn how to perform financial calculations in marketing contexts.

Maru Keitou, a decorated former collegiate softball player with a PhD from Oxford University, ran Maru Batting Center in the Roppongi district of Tokyo's Minato ward. She had a deep knowledge of the game and of her customers, but she lacked a marketing background. She had recently signed up for a hosted customer relationship management service that would allow her to track the cost of acquiring and serving each of her four main customer segments. Using this data, she could determine which segments to target in the upcoming year.

The exercise describes the use of calculations of customer acquisition cost, retention rates, and customer lifetime value in picking between market segments and various options for activities to acquire customers.

Maru Keitou, a decorated former collegiate softball player with a PhD from Oxford University, ran Maru Batting Center in the Roppongi district of Tokyo's Minato ward. She had a deep knowledge of the game and of her customers, but she lacked a marketing background. She had recently signed up for a hosted customer relationship management service that would allow her to track the cost of acquiring and serving each of her four main customer segments. Using this data, she could determine which segments to target in the upcoming year.

The exercise describes the use of calculations of customer acquisition cost, retention rates, and customer lifetime value in picking between market segments and various options for activities to acquire customers.

After completing the exercise, students should be able to:

• Calculate customer acquisition cost

• Determine customer break-even

• Calculate and explain customer lifetime value

Calculate customer acquisition cost

Determine customer break-even

Calculate and explain customer lifetime value

The European retail motor industry is currently facing an unprecedented number of major forces for change. For independent dealer businesses to survive, they must clearly demonstrate to consumers that they represent the best possible channel for the acquisition and maintenance of their motorisation needs. They must also demonstrate to manufacturers that they represent the best route to market for them. Proposes a way that dealers can not only survive but, in co‐operation with their manufacturers, prosper in the market of the future. Such an approach would comprise the removal of wasteful activity, the reduction of costs and prices, delivering greater customer value and improving customer retention. In short, true lean distribution. The concept centres on a “customer account manager”, who pro‐actively manages the consumer’s needs for after‐sales of all types, thereby managing demand and removing waste from the system. As a consequence of this demand management, he or she is able to monitor the consumer’s needs (and even his family’s needs) for a new or used replacement car, again removing waste. The approach enables the dealer to exchange ineffective, costly, direct marketing and advertising for value‐adding contacts from which the consumer and manufacturer directly benefit, thereby creating a virtuous circle.

This paper aims to examine how customer relationship management (CRM) systems are implemented in practice with a focus on the strategic application, i.e. how analytical CRM systems are used to support customer knowledge acquisition and how such a system can be developed.

The current practice of CRM application is based on examining data reported from a four‐year survey of CRM applications in the UK and an evaluation of CRM analytical functions provided by 20 leading software vendors. A conceptual model of an analytical CRM system for customer knowledge acquisition is developed based on the findings and literature review.

Current CRM systems are dominated by operational applications such as call centres. The application of analytical CRM has been low, and the provision of these systems is limited to a few leading software vendors.

The findings shed light on the potential area in which organisations can strategically use CRM systems. It also provides guidance for the IT industry as to how an analytical CRM system should be developed to support customer knowledge acquisition.

The latest findings on CRM systems application are reported, and an innovative analytical CRM system is proposed for customer knowledge acquisition.

The calculations which underlie efforts to balance marketing spending on customer acquisition and customer retention are usually based on either single‐period customer profitability or forecasts of customer lifetime value (CLTV). This paper argues instead for risk‐adjusted CLTV, which is termed the economic value (EV) of a customer, as the means for marketing to assess both customer profitability and shareholder value gains.

Reports on the empirical measurement of EV of customers through a collaborative case study analysis of business‐to‐business relationships in the financial service industry.

One direct consequence of measuring this risk and the EV of key account customers was a customer portfolio review which led to changes in their relationship marketing strategies and improvements in shareholder value for the firm.

Selective customer retention through lifetime value analysis and a risk‐adjustment process may be the means for developing relationship marketing strategies.

This paper contributes to the field by extending the discussion on customer risk and demonstrating a method that managers can readily adopt to evaluate the risk of their customers.