Telecom Churn Prediction using Deep Learning Techniques: A Comprehensive Survey

Customer churn, the phenomenon where customers discontinue their services with a company. The ability to predict and mitigate churn can significantly impact a company's revenue and profitability. In recent years, deep learning techniques have emerged as powerful tools for improving churn prediction accuracy. This is due to their capability to capture intricate patterns within large and complex datasets. This survey paper offers an exhaustive examination of the utilization of deep learning techniques in churn prediction within the telecommunications industry. It further presents the foundations of deep learning, explaining essential concepts such as neural networks, activation functions, and optimization algorithms. The concluding remarks underscore the importance of deep learning in revolutionizing churn prediction accuracy. Its potential to reshape the telecom sector's customer retention strategies. By harnessing the capabilities of deep learning, companies can proactively identify at-risk customers and tailor retention strategies, ultimately enhancing customer satisfaction and business success.