2017 5th International Conference on Cyber and IT Service Management (CITSM) 2017
DOI: 10.1109/citsm.2017.8089258
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Clustering and profiling of customers using RFM for customer relationship management recommendations

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Cited by 29 publications
(18 citation statements)
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“…Besides, more researches had employs a cluster distances-related analysis in justifying cluster validity [6][14][21] [23]. For instance, Maryani and Riana [6] measures the Euclidean distance among clusters to justify each cluster contains unique characteristics and is not overlapping with other clusters. Similarly, both Walters and Bekker [21] and Christy et.…”
Section: B Technical Aspect In Customer Profilingmentioning
confidence: 99%
See 2 more Smart Citations
“…Besides, more researches had employs a cluster distances-related analysis in justifying cluster validity [6][14][21] [23]. For instance, Maryani and Riana [6] measures the Euclidean distance among clusters to justify each cluster contains unique characteristics and is not overlapping with other clusters. Similarly, both Walters and Bekker [21] and Christy et.…”
Section: B Technical Aspect In Customer Profilingmentioning
confidence: 99%
“…Theoretical-wise, apart from some grounded theory development that proposed unique domain-specific variables to use in customer profiling [4], RFM (Recency, Frequency, Monetary) analysis is used widely in performing customer profiling in many domains [5][6]. In the past decade, many modifications of the original RFM model, either to create a domain-specific RFM variation or to optimize the RFM model in general have been done.…”
Section: Introductionmentioning
confidence: 99%
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“…RFM model can be used to accurately estimate customer lifetime value (CLV) (Buckinx & Van den Poel, 2005), (Fader et al, 2005), (Sohrabi & Khanlari, 2007) and for segmentation and profiling of customer (Tsiptsis & Chorianopoulos, 2011). Although there are a lot of studies showing that RFM model can be used for customer segmentation and profiling in the world such as (Piersma & Jonker, 2004), (Wei et al, 2010), (Namvar et al, 2011) , (Maryani & Riana, 2017) there are very few case studies in Turkey. These few studies applied on different sectors e-commerce sports shop (Birant, 2011), B2B industrial markets (Ekergil & Ersoy, İbrahim SABUNCU & Edanur TÜRKAN & Hilal POLAT 2016), hotel (Dursun & Caber, 2016), pizza restaurant chain (Sarvari et al, 2016), grocery chain (Peker et al, 2017), tourism (Pakyurek et al, 2018), airline (Altan, 2019), e-retailer (Kabasakal, 2020) but no other study on the fuel retailing sector could be found.…”
Section: Tujom (2020) 5 (1): 22-36mentioning
confidence: 99%
“…RFM stands for the three dimensions of Recency, Frequency and Monetary. Ina Maryani and Dwiza Riana used the RFM model to determine potential customers and apply it to the CRM system (Customer Relationship Management) [3]. There are other authors who also make use of the RFM model.…”
Section: Introductionmentioning
confidence: 99%