A case study in the software industry

Dias, J. P. R., & António, N. (2025). Predicting customer churn using Machine Learning: A case study in the software industry. Journal of Marketing Analytics, 13, 111–127. https://doi.org/10.1057/s41270-023-00269-9 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia) under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS

Publication Details

Journal
Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Published
2025-03-01
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A case study in the software industry

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Customer churn and segmentation
article

A case study in the software industry

article en

Abstract

Dias, J. P. R., & António, N. (2025). Predicting customer churn using Machine Learning: A case study in the software industry. Journal of Marketing Analytics, 13, 111–127. https://doi.org/10.1057/s41270-023-00269-9 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia) under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Customer churn and segmentation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A case study in the software industry · Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) (2025) | TGRS Research Map | TGRS