CRM success factors in Women Apparel Retail Outlets
DOI:
https://doi.org/10.61841/yxxraf18Keywords:
Customer relationship management, customer relations, relationship marketing, customer satisfaction, retail industryAbstract
Customer relationship management (CRM) is a vital business strategy for all the businesses to survive and sustain. A successful customer relationship management leads to customer acquisition, customer retention, and increased customer loyalty which in turn increases the profit and enhances the sales of the organisation in which CRM is implemented. The study is conducted among 100 female customers of women apparel retail outlets in Thirupattur district of Tamil Nadu, India. Exploratory factor analysis is performed to find out the CRM success factors. Confirmatory factor analysis is done to know the consistency of the underlying constructs and two step cluster analysis is employed to segment the customers on the basis of demographic and CRM success factors. It was found that highest number of customers i.e. 35% of female customers are in the age group of 18-30 years and spent around Rs.1000- 5000 in shopping apparels during festival occasion
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References
1. Al-Hudhaif, S.A. (2011). The critical success factors for implementation of customer relationship management in the banking sector of Saudi Arabia. Journal of Global Business Management, 7 (1), 1–7
2. Kannan Subramanian (2014). Customer relationship management through data mining. International Journal of Innovative Research in Computer and Communication Engineering, 2 (9).
3. Natarajan, C., & Sivaranjini, C. (2016). Service quality gap in the retail banking of the select new generation private banks in Puducherry. International Journal of Management and Social Science Research Review, 1 (29), 188-192.
4. Natarajan, C., & Tamilmathi, T. (2016). Service quality in organized retail stores in Salem city: An empirical assessment. Coimbatore: Bonfring, 1-5.
5. Sanjib Kumar Routray., & Sasmita Mishra (2015). Adaption of customer relationship management and data mining tools in the data intensive cloud computing environment. International Journal of Computer Science and Information Technologies, 6 (3).
6. Zeithaml, V. A. (2000). Service quality, profitability, and the economic worth of customers: What we know and what we need to learn. Academy of Marketing Science, 28, 67-85.
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