Survival analysis for predicting fitness app user churn

This study highlights key factors driving user churn in the Mammoth Hunters fitness app, offering insights to help developers reduce dropout rates, enhance engagement, and improve user retention. Applying advanced survival and cure models can improve personalization, reduce dropout rates, and support sustainable health outcomes through digital fitness platforms.

Authors

Institutions

Publication Details

Journal
mHealth
Published
2025-10-01
DOI
https://doi.org/10.21037/mhealth-25-15
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Survival analysis for predicting fitness app user churn

Amaia Méndez Zorrilla, Begonya García-Zapirain, Joel Montané, Monika Zakrzewska et al.
mHealth
Innovative Human-Technology Interaction
article

Survival analysis for predicting fitness app user churn

Amaia Méndez Zorrilla, Begonya García-Zapirain, Joel Montané, Monika Zakrzewska, Oscar Bastidas-Jossa
article en

Abstract

This study highlights key factors driving user churn in the Mammoth Hunters fitness app, offering insights to help developers reduce dropout rates, enhance engagement, and improve user retention. Applying advanced survival and cure models can improve personalization, reduce dropout rates, and support sustainable health outcomes through digital fitness platforms.

mHealthVol. 11
Universidad de Deusto (ES), Universitat Ramon Llull (ES)
Openalex Percentile: Top 68%
Innovative Human-Technology Interaction
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.