مجلة الباحث الإقتصادي
Volume 13, Numéro 1, Pages 11-25
2025-06-30

A Forecasting Study On New Customer Acquisition For Telecom Companies: The Case Of Ooredoo Algeria



Authors : Balouli Houssame Eddine .

Abstract

The number of new customers in the telecommunications industry is a critical KPI that plays a key role in enhancing customer value management. This research focuses on forecasting the number of new customers for Ooredoo in Khenchela by comparing three different models: ARIMA, ETS, and machine learning models. Various packages were employed to clean the dataset and estimate the performance of each model. After comparing the results, the study concluded that the Prophet machine learning model provided the best performance for predicting customer acquisition.

Keywords

ARIMA ; ETS ; Machine learning ; Telecom ; Forecast

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