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Customer churn and segmentation
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on customer equity management and prediction, utilizing data mining, machine learning, and segmentation techniques to understand customer churn, lifetime value, and profitability. It explores the impact of marketing strategies on customer retention and financial performance in various industries, particularly in telecommunications.
31
Works
IDs:OpenAlex
How has Customer churn and segmentation's publication output changed over time?
ScholarIQpublication output · 2010–2024
Output grew100% over the shown period — from 1 works in 2010 to 2 in 2024.
1
2
1
1
1
4
3
2
20102012201820192020202220232024
What are the most-cited papers on Customer churn and segmentation?
ScholarIQmost cited works
A review of the application of RFM model
Jo-Ting Wei, Shih‐Yen Lin, Hsin‐Hung Wu
S180126918. 2010145 CitationsOPEN ACCESS
Modeling partial customer churn: On the value of first product-category purchase sequences
Vera Miguéis, Dirk Van den Poel, Ana S. Camanho, João Falcão e Cunha
Expert Systems with Applications. 201294 Citations
Customer churning analysis using machine learning algorithms
B. Prabadevi, R. Shalini, B. Kavitha
S4210202467. 202390 CitationsOPEN ACCESS
Customer churn prediction using composite deep learning technique
Asad Masood Khattak, Zartashia Mehak, Hussain Al-Ahmad, Muhammad Usama Asghar, Muhammad Zubair Asghar, Aurangzeb Khan
Scientific Reports. 202375 CitationsOPEN ACCESS
Customer data mining for lifestyle segmentation
Vera Miguéis, Ana S. Camanho, João Falcão e Cunha
Expert Systems with Applications. 201269 Citations
Where is Customer churn and segmentation research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Customer churn and segmentation is open access?
ScholarIQopen access share
53%OPEN ACCESS
Gold
40%
Green
13%
Hybrid
0%
Bronze
0%
Closed
47%
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