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Research on E-commerce Customer Relationship Management Based on Data Analysis

Published: 18 November 2020 Publication History

Abstract

With the advent of the era of big data, the competition of various e-commerce platforms is becoming increasingly fierce, and the problem of customer churn is serious. The competition of e-commerce companies has become a data-based competition, and the mining of customer information has become particularly important in customer relationship management. Using data mining technology to organize and analyze customer data, we can more accurately understand customer needs and customer consumption trends. Only in this way can e-commerce companies create stronger and more accurate profit points. This paper takes specific e-commerce enterprises as the analysis object, and uses cluster analysis and logistic regression analysis to analyze and predict customer segmentation and customer retention and churn, providing a certain basis and direction for the marketing strategy of e-commerce enterprises

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  • (2024)AI-Driven Personalization in Omnichannel MarketingLeveraging AI for Effective Digital Relationship Marketing10.4018/979-8-3693-5340-0.ch004(97-130)Online publication date: 18-Oct-2024

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ICEME '20: Proceedings of the 2020 11th International Conference on E-business, Management and Economics
July 2020
312 pages
ISBN:9781450388016
DOI:10.1145/3414752
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 November 2020

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Author Tags

  1. E-commerce
  2. customer retention churn
  3. customer segmentation

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Cited By

View all
  • (2024)AI-Driven Personalization in Omnichannel MarketingLeveraging AI for Effective Digital Relationship Marketing10.4018/979-8-3693-5340-0.ch004(97-130)Online publication date: 18-Oct-2024

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