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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.
europepmc +6 more sources
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
doaj +2 more sources
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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An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market
Analytics, 2023 Recently, peoples’ awareness of online purchases has significantly risen. This has given rise to online retail platforms and the need for a better understanding of customer purchasing behaviour.
Jeen Mary John +2 more
doaj +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
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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International Journal of Innovative Research in Engineering & Multidisciplinary Physical SciencesThe project Customer Segmentation aims to develop a customer segmentation model using a machine learning techniques to analyze purchasing behavior and demographic information. By grouping customers based on similarities, the business can target each segment and increases profitability and customer satisfaction.
Sakshi Balpande +3 more
+4 more sources