109 resultados para customer analytics

em Deakin Research Online - Australia


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Customer Analytics provide a new type of marketing knowledge in terms of modelling past and present customer behaviour. This paper considers how such knowledge might fit with more traditional Marketing Research. Considerable overlap in the knowledge-based capability of the two functions suggests a need for rationalisation, especially where organisational relationships lead to conflict over the resources assigned to each. Nine testable propositions are developed which suggest that a synthesis of these knowledge-based functions should, in fact, enhance the marketing capability and success of the firm.

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The Customer Analytics (CA) function is increasingly leveraged for Customer Relationship Management (CRM), however it may lack the value of marketing knowledge available from the Marketing Research (MR) function due to inadequate interfunctional knowledge integration. This paper develops a set of sixteen propositions from a synthesis of the marketing and knowledge management literatures relating key organisational influences on the integration of knowledge between the MR and CA functions. A range of strategic, cultural, structural and technical influences is reflected by the propositions. It is planned to test the propositions in future empirical research.

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The study examined key relationships between two overlapping customer knowledge systems, Market Research (MR) and Customer Analytics (CA). Their integration can provide valuable new marketing insights. However a survey of 286 US CRM and CA managers showed that many companies do not fully integrate MR and CA. Organisations with a Prospector strategic orientation were more likely to integrate the two and judge the CA system a success. Trust between the two functions enhanced knowledge integration. This in turn was shown to make a strong contribution to the value of CA and a modest indirect contribution to firm success.

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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.

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Data based on survey responses from an online questionnaire directed at market research managers in the US.

Using an online questionnaire 435 market research managers in the United States were surveyed about their views on using customer analytics to provide reliable customer information to gain market edge.

Using SPSS AMOS software, the resulting data identifies new trends in the business intelligence industry in transition and particularly the usage by market relations managers of customer analytics information.

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In product design and engineering, identifying customer needs is the foundation for designing and producing a successful product. Traditionally, a range of techniques have been employed to elicit customer needs. A relatively new technique for identifying customer needs is ‘crowdsourcing’. An emerging area of research is the crowdsourcing of customer needs from online product review sites. This paper proposes a simple process for crowdsourcing customer needs for product design using text analytics. The analysis/visualization method is presented in detail. The text content of online customer reviews for a popular product is collected and processed using text analytics software. A published case study identifying expressed customer needs for the same generic product, collected via conventional means, is used to successfully validate the findings from the text analytics method.

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Within the information economy customers utilise the media that interests them, view the news that affects them and read about the people that inspire them. Web analytics enables an organisation to collect customers' data as they interact with an organisation. Then with analysis of the captured data, organisations can offer a unique online experience, tailored to the customer's individual preferences and create direct marketing campaigns that target individual consumers. This paper discusses the ethical considerations of collecting customer data and highlights how ethical guidelines can better inform organisational behaviour.

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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.

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This paper analyses the impact of illegal migration on the optimal path of domestic (resident) consumption. The analysis draws two important conclusions. First, if illegal migrants and domestic labour are perfect substitutes, illegal migration necessarily lowers the long-run per capita consumption of domestic residents. Second, if illegal migrants and domestic labour are imperfect substitutes, the effect on the long-run per capita domestic consumption is ambiguous, however, in the Cobb–Douglas case, the result is clear cut and per capita domestic consumption rises as a result of illegal migration.

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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.

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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.

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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.

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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.

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Scenario analysis was used to examine empirically the relationships between guarantee type and service experience, and consumer satisfaction, for the service of an Internet Service Provider (ISP). The scenarios involved hypothetical situations in which several factors were varied: the existence of a problem; the invocation of a guarantee, the identity of the invoker; and the manner of resolution of any problem. Alternative service guarantees were associated with each hypothetical experience: a specific guarantee, and an unconditional guarantee. Overall, consumer satisfaction related to the nature of the service experience much more strongly than it did to the difference in guarantee type.