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Predictive Analytics for High Business Performance through Effective Marketing

Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 2)

Publication Date:

Authors : ;

Page : 380-382

Keywords : Computer Engineering; Customer Relationship Management (CRM); Machine Learning; Customer Segmentation; Customer sTargeting; K-means algorithm; Smote; Logistic Regression; Classification; Clustering;

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Abstract

With economic globalization and continuous development of e-commerce, customer relationship management (CRM) has become an important factor in growth of a company.CRM requires huge expenses. One way to profit from your CRM investment and drive better results, is through machine learning. Machine learning helps business to manage, understand and provide services to customers at individual level Both customer segmentation and buyer targeting help the business to increase marketing performances. The objective is to propose a new approach for better customer targeting. Supriya V. Pawar | Gireesh Kumar | Eashan Deshmukh"Predictive Analytics for High Business Performance through Effective Marketing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd8385.pdf http://www.ijtsrd.com/engineering/computer-engineering/8385/predictive-analytics-for-high-business-performance-through-effective-marketing/supriya-v-pawar

Last modified: 2018-08-02 13:47:25