Results 1 to 10 of about 11,067 (306)
Customer Segmentation through Path Reconstruction. [PDF]
Sensors (Basel), 2021 This paper deals with the automatic classification of customers on the basis of their movements around a sports shop center. We start by collecting coordinates from customers while they visit the store. Consequently, any costumer’s path through the shop is formed by a list of coordinates, obtained with a frequency of one measurement per minute. A guess
Carbajal SG.
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A dynamic customer segmentation approach by combining LRFMS and multivariate time series clustering [PDF]
Scientific ReportsTo successfully market to automotive parts customers in the Industrial Internet era, parts agents need to perform effective customer analysis and management.
Shuhai Wang, Linfu Sun, Yang Yu
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Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. [PDF]
PLoS ONEEffective and well-structured customer segmentation enables organizations to accurately identify and comprehend the distinct characteristics and needs of various customer groups, thereby facilitating the development of more targeted marketing strategies.
Guanqun Wang
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Heliyon, 2023 Customer lifetime value is one of the most important tasks for enterprises to maintain customer relationships. However, due to the limitations of using a single data mining method, the measurement of customer lifetime value under the condition of ...
Yuechi Sun, Haiyan Liu, Yu Gao
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New RFM-D classification model for improving customer analysis and response prediction
Ain Shams Engineering Journal, 2023 Customer segmentation is seen as one of the pillars of a successful advertising campaign. Marketers give great importance to this flagship phase in the process of marketing new products. Successful segmentation will involve successful “Customer Targeting”
Moulay Youssef Smaili, Hanaa Hachimi
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B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM
Journal of Theoretical and Applied Electronic Commerce Research, 2022 Customer churn prediction is very important for e-commerce enterprises to formulate effective customer retention measures and implement successful marketing strategies.
Xiancheng Xiahou, Yoshio Harada
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Customer Segmentation and Churn Prediction via Customer Metrics
2022 30th Signal Processing and Communications Applications Conference (SIU), 2022 In this study, it is aimed to predict whether customers operating in the factoring sector will continue to trade in the next three months after the last transaction date, using data-driven machine learning models, based on their past transaction movements and their risk, limit and company data.
Tunahan Bozkan +3 more
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An Integrated Pareto/NBD- fuzzy weighted RFM model for customer segmentation in non-contractual setting [PDF]
مدیریت بازرگانی, 2014 Companies create revenue through creating customer relationships and sustenance of these relations in long-term. Therefore, an appropriate prediction of customer relationships is central for CRM.
Amir Albadvi +3 more
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Privacy and customer segmentation in the smart grid [PDF]
53rd IEEE Conference on Decision and Control, 2014 In the electricity grid, networked sensors which record and transmit increasingly high-granularity data are being deployed. In such a setting, privacy concerns are a natural consideration. We present an attack model for privacy breaches, and, using results from estimation theory, derive theoretical results ensuring that an adversary will fail to infer ...
Lillian J. Ratliff +4 more
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Penerapan Metode Clustering Dalam Segmentasi Pelanggan Perusahaan Logistik
SINTECH (Science and Information Technology) Journal, 2023 Marketing is important in business to compete and maintain market share. The development of technology brings major changes in the industry. In addition to product development as well as required services, and customer segmentation becomes a factor to ...
Hanan Kishendrian +3 more
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