Is price a significant predictor of the churn behavior during the global pandemic? A predictive modeling on the telecom industry

Shukla, Vishal; Prashar, Sanjeev; Pandiya, Bhartrihari

doi:10.1057/s41272-021-00367-2

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…Price related to the relative worth of the variables that lead to churning behavior in the telecommunication sector is the value contribution of research. The higher the worth of the factor, the greater its role in the churn intention of the customers (Shukla et al, 2021). Price will compare the worth of a brand with its label price.…”

Section: Discussionmentioning

confidence: 99%

Factors Influence Customer Churn on Internet Service Provider in Indonesia

Triyafebrianda

Windasari

2022

TIJAB

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Rapid growth of internet users in Indonesia and the Covid-19 pandemic situation has prompted the emergence of new Internet Service Providers in line with the increasing demand for internet access. Several new internet service providers are emerged leading to a more competitive environment. Churn in subscription model business become important variable since the brand of internet service provider increasing. The purpose of this study is to examine factors influence customer churn in internet service provider so company can resolve and anticipate the churn problems. By using the method SEM-PLS to 102 respondents data collected, it was concluded that customer churn was significantly influenced by complaint management and multi-brand attitude. Another result is the tendency of multi-brands attitudes moderates the price which is significantly related to customer churn.

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Section: Discussionmentioning

confidence: 99%

Factors Influence Customer Churn on Internet Service Provider in Indonesia

Triyafebrianda

Windasari

2022

TIJAB

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“…Through a multilayer perceptron (MLP) analysis of a sample of five thousand Jordanian telecom customers, it was concluded that the monthly tariff is the most significant factor affecting customer churn [13]. Tariffs for domestic calls are essential in predicting customer loss [14]. There are two types of pricing in the telecom section: two-part tariff and pay-per-use pricing.…”

Section: Literature Reviewmentioning

confidence: 99%

A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation

2022

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Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies. This study aimed to develop a churn prediction model to predict telecom client churn through customer segmentation. Data were collected from three major Chinese telecom companies, and Fisher discriminant equations and logistic regression analysis were used to build a telecom customer churn prediction model. According to the results, it can be concluded that the telecom customer churn model constructed by regression analysis had higher prediction accuracy (93.94%) and better results. This study will help telecom companies efficiently predict the possibility of and take targeted measures to avoid customer churn, thereby increasing their profits.

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Price and practice

Yeoman

2022

J Revenue Pricing Manag

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Is price a significant predictor of the churn behavior during the global pandemic? A predictive modeling on the telecom industry

Cited by 4 publications

References 22 publications

Factors Influence Customer Churn on Internet Service Provider in Indonesia

Factors Influence Customer Churn on Internet Service Provider in Indonesia

A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation

Price and practice

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