 Proposed analytical customer centric model for an automobile industryArchana Singh, Ajay Rana and Jayanthi Ranjan International Journal of Data Mining, Modelling and Management, 2015, vol. 7, issue 4, 314-330 Abstract: Research practitioners have contributed extensively in maximising the customer value using different models. It has been realised that customer lifetime models are industry dependent. The analysis of customer lifetime value is done with different customer value models. Recency, frequency, and monetary (RFM) model is traditional used for market segmentation to detect patterns customers/buyers. In this research paper, a new customer centric analytical model has been proposed for an automobile industry. The paper explores new dimensions in the proposed model to determine the customer value and further by using data mining approach helps the management to build new strategic customer relationship model. The data mining technique association rule mining, direct hashing and pruning is used to generate rules and market patterns for the market management which in turn facilitates in effective and efficient decision making. Keywords: customer lifetime value; CLV; data mining; market segmentation; recency frequency monetary; RFM model; association rules mining; customer centric models; automobile industry; customer value; modelling; strategic customer relationships; direct hashing; pruning; market patterns; automotive markets. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdmmm:v:7:y:2015:i:4:p:314-330 Access Statistics for this article More articles in International Journal of Data Mining, Modelling and Management from Inderscience Enterprises Ltd |
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