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Практические Методы Прогнозирования Сохранения Клиентской Базы (Перевод На Русский Язык)
[Practical Methods for Predicting Customer Retention]

Author

Listed:
  • Черкашин, Александр
  • Сахаджи, Владислав
  • Гулиев, Руслан
  • Большунова, Елена

Abstract

This study examines methods for analyzing and forecasting the retention of active subscribers in the telecommunications industry using various criteria for subscriber activity. The results demonstrate that the retention dynamics of an active subscriber base can be effectively modeled using a decreasing power function. This allows for medium-term forecasting based on initial subscriber activity data. However, it is important to note the potential limitations in the effectiveness of the proposed approach for long-term forecasting, associated with changes in subscriber churn dynamics over time. This is a Russian translation of «Practical Methods for Predicting Customer Retention» paper published on MPRA (https://mpra.ub.uni-muenchen.de/id/eprint/122400) 15.10.2024.

Suggested Citation

  • Черкашин, Александр & Сахаджи, Владислав & Гулиев, Руслан & Большунова, Елена, 2024. "Практические Методы Прогнозирования Сохранения Клиентской Базы (Перевод На Русский Язык) [Practical Methods for Predicting Customer Retention]," MPRA Paper 122483, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:122483
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    абонентская база; удержание абонентов; отток абонентов; степенная функция; телекоммуникации; LTV;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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