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Data accuracy's impact on segmentation performance : benchmarking RFM analysis, logistic regression, and decision trees
Coussement, Kristof; Van den Bossche, Filip; De Bock, … - In: Journal of business research : JBR 67 (2014) 1, pp. 2751-2758
Persistent link: https://www.econbiz.de/10010235325
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From user behavior to subscription sales : an insight into e-book platform leveraging customer segmentation and A/B testing
Hashemian, Farid; Maleki, Negar; Zeinali, Yasser - In: Services marketing quarterly 45 (2024) 2, pp. 153-181
Persistent link: https://www.econbiz.de/10014566256
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Accounting for risk in the traditional RFM approach
Singh, Shweta; Singh, Sumit - In: Management research review 39 (2016) 2, pp. 215-234
Persistent link: https://www.econbiz.de/10011543158
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Improving direct marketing activities effectiveness using analytical models : RFM vs. logit model on a casino case
Tabaj, Tjas̆a; Bratina, Danijel - In: Management 13 (2018) 4, pp. 323-334
Persistent link: https://www.econbiz.de/10012133937
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Accounting for risk in the traditional RFM approach
Singh, Shweta; Singh, Sumit - In: Management Research Review 39 (2016) 2, pp. 215-234
customer riskiness. Here, the authors propose three kinds of customer risk. Current paper provides a twist to traditional RFM … analysis by creating a RARFM score for each customer, and provides a scientific way of assigning weights to RFM.  …
Persistent link: https://www.econbiz.de/10014952906
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Integrated customer lifetime value (CLV) and customer migration model to improve customer segmentation
Kessara Kanchanapoom; Jongsawas Chongwatpol - In: Journal of marketing analytics : JMA 11 (2023) 2, pp. 172-185
Persistent link: https://www.econbiz.de/10014326748
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A new RFM model approach: RFMS
Erpolat Taşabat, Semra; Özçay, Tayfun; Sertbaş, Salih; … - In: Industry 4.0 and the Digital Transformation of …, (pp. 143-172). 2023
Persistent link: https://www.econbiz.de/10014245226
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Comparison of customer response models
Olson, David; Cao, Qing; Gu, Ching; Lee, Donhee - In: Service Business 3 (2009) 2, pp. 117-130
Persistent link: https://www.econbiz.de/10008515393
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Applying feature selection methods to improve the predictive model of a direct marketing problem
Tan, Ding-Wen; Sim, Yee-Wai; Yeoh, William - 2011
The ability to forecast job advertisement demands is vital to enhance the customer retention rate for recruitment companies. On top of that, it is uneconomical to cold call every individual on a regular basis for companies with a large pool of customers. This paper presents a novel approach in...
Persistent link: https://www.econbiz.de/10009483987
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Applying feature selection methods to improve the predictive model of a direct marketing problem
Tan, Ding-Wen; Sim, Yee-Wai; Yeoh, William - 2011
The ability to forecast job advertisement demands is vital to enhance the customer retention rate for recruitment companies. On top of that, it is uneconomical to cold call every individual on a regular basis for companies with a large pool of customers. This paper presents a novel approach in...
Persistent link: https://www.econbiz.de/10009484039