| Title |
Klientų praradimo mažinimas telekomunikacijų paslaugų sektoriuje, naudojant skaitmeninių platformų duomenis |
| Translation of Title |
Reducing customer churn in the telecommunications services sector using data from digital platforms. |
| Authors |
Žilinskas, Paulius |
| Full Text |
|
| Pages |
63 |
| Keywords [eng] |
customer churn ; telecommunications services ; sentiment analysis ; machine learning |
| Abstract [eng] |
In today's fast-paced business world, a customer retention strategy is essential for successfully competing in the market. The majority of companies invest significant effort and time analyzing various data in order to prevent customer loss. Various models are developed to predict customer churn based on their behavior, but in creating such models, it is crucial to understand the common reasons that prompt customers to abandon the services they use and switch to competitors. This question is particularly relevant in the rapidly evolving telecommunications sector. The objective of this project is to identify the factors leading to customer churn in the telecommunications sector by utilizing various research methods based on customer feedback published on different digital platforms, and to present evidence-based solutions for reducing customer churn based on the obtained results. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2024 |
