Customer Churn Analysis Using Deep Reinforcement Learning Approach

Tanveer Hussain Khan; Shakir Ali Idrisi -; Harshali Patil; Jyotshna Dongradive -

doi:10.36948/ijfmr.2024.v06i01.11712

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JOURNAL ARTICLE

Customer Churn Analysis Using Deep Reinforcement Learning Approach

Tanveer Hussain Khan Shakir Ali Idrisi -Harshali Patil Jyotshna Dongradive -

Year: 2024 Journal: International Journal For Multidisciplinary Research Vol: 6 (1)

DOI: 10.36948/ijfmr.2024.v06i01.11712

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Abstract

Customer churn analysis is a critical component of business strategy in industries where retaining customers is essential for profitability and growth. This study aims to investigate the factors influencing customer churn in the telecommunications sector, utilizing a comprehensive dataset of customer interactions and demographics.

Keywords:

Demographics Profitability index Customer retention Customer intelligence Component (thermodynamics) Customer to customer Reinforcement learning Business Voice of the customer Customer advocacy Marketing Customer equity Computer science Artificial intelligence Finance

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Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Customer Service Quality and Loyalty

Social Sciences → Business, Management and Accounting → Organizational Behavior and Human Resource Management

Consumer Retail Behavior Studies

Social Sciences → Business, Management and Accounting → Marketing

Customer Churn Analysis Using Deep Reinforcement Learning Approach

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