International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Predicting Customer Churn Rate in Saas

Author(s) Mr. MARI SELVAM D, Dr. S Sreeja
Country India
Abstract This study uses machine learning techniques on an IBM SaaS dataset to predict customer churn and identify key factors influencing customer retention
Field Business Administration
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-05
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.77414

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