Defection Analysis of Post-Paid Telephone Customers in Nepal Using the Weibull Model

This study examines the defection patterns of post-paid telephone customers based on migrant status and season-wise acquisition using the Weibull model. Data from 48,666 post-paid customers were extracted from the data warehouse of a telephone company in Nepal. After pre-processing, the migrant status and season of acquisition for 48,583 customers were identified. Survival analysis was then conducted using the Kaplan–Meier (K-M) method to estimate the hazard of defection. Finally, the Weibull model was applied to analyse defection patterns concerning migrant status, default status, and season-wise acquisition in relation to survival periods. The results indicate that migrant customers have a significantly higher probability of defection compared to non-migrant customers. Additionally, the season of acquisition has a notable impact on customer survival duration. The study also highlights a higher risk of involuntary defection among migrant customers. These findings can inform the development of marketing strategies aimed at improving customer retention and acquisition in the telecommunications sector. Moreover, the model and methodology employed in this research can be extended to other marketing contexts.

Authors

Institutions

Publication Details

Journal
Businesses
Published
2025-02-05
DOI
https://doi.org/10.3390/businesses5010006
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Defection Analysis of Post-Paid Telephone Customers in Nepal Using the Weibull Model

Keshava Raj Gnawali, R. W. Kadel
Businesses
Efficiency Analysis Using DEA
article

Defection Analysis of Post-Paid Telephone Customers in Nepal Using the Weibull Model

Keshava Raj Gnawali, R. W. Kadel
article en

Abstract

This study examines the defection patterns of post-paid telephone customers based on migrant status and season-wise acquisition using the Weibull model. Data from 48,666 post-paid customers were extracted from the data warehouse of a telephone company in Nepal. After pre-processing, the migrant status and season of acquisition for 48,583 customers were identified. Survival analysis was then conducted using the Kaplan–Meier (K-M) method to estimate the hazard of defection. Finally, the Weibull model was applied to analyse defection patterns concerning migrant status, default status, and season-wise acquisition in relation to survival periods. The results indicate that migrant customers have a significantly higher probability of defection compared to non-migrant customers. Additionally, the season of acquisition has a notable impact on customer survival duration. The study also highlights a higher risk of involuntary defection among migrant customers. These findings can inform the development of marketing strategies aimed at improving customer retention and acquisition in the telecommunications sector. Moreover, the model and methodology employed in this research can be extended to other marketing contexts.

BusinessesVol. 5(1)
Kathmandu University (NP)
Openalex Percentile: Top 98%
Efficiency Analysis Using DEA
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.