Prediction of Customers Churn in Telecommunication Industry
In the developed world, mobile markets have reached saturation on subscriber penetration and connections growth. The challenge for operators has evolved from attracting new customers to retaining existing ones. Various components have an impact on churn. Therefore, it is very important to understand...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/377453 |
| Acceso en línea: | https://hdl.handle.net/2117/377453 |
| Access Level: | acceso abierto |
| Palabra clave: | Telecommunication Industrial concentration customer churn prediction market share forecasting Telecomunicació Concentració industrial Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors |
| Sumario: | In the developed world, mobile markets have reached saturation on subscriber penetration and connections growth. The challenge for operators has evolved from attracting new customers to retaining existing ones. Various components have an impact on churn. Therefore, it is very important to understand the behaviour of the customers, encourage them in spending more and then predicting the future by preventing their attrition. As the industry is evolving, the biggest challenge for operators is to engage with consumers and retain their loyalty by delivering more competitive and innovative value-added services. While understanding consumer needs remains essential to improve customer retention, other emerging tariffs and services are likely to carry a long-term impact on churn (including national, international and roaming bundles tariffs and mobile services). The churn might be voluntary in cases they want to leave the network they actually are using, or involuntary churn in case of unpaid bills. The methodology used to do the right evaluations in order to achieve strong results in this field is very large and varied. The scope of this thesis is to identify and analyse different appropriate models that can help the data analysts to find the churners in Telecommunication industry. In this thesis we are going to discuss on two important topics in telecommunication markets and their respective predictive models, which tend to understand the customer behaviour towards different competitors: market share in telecommunication industry and customer churn. |
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