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This project tackles a critical challenge for Airtel, a leading Indian telecommunications provider: customer churn. Subscribers are discontinuing service, impacting Airtel's revenue and market share.
We propose a data-driven approach to combat churn. By analyzing customer data encompassing demographics, service plans, usage patterns, and customer service interactions, we aim to identify key drivers of churn.
This analysis will leverage the power of Microsoft Excel for data exploration, cleaning, and analysis. Techniques like customer segmentation, feature analysis, and correlation will be employed to uncover patterns and relationships.
The project's goal is to equip Airtel with actionable insights to develop targeted customer retention strategies. This could include personalized offers, service plan optimization, enhanced customer service, and targeted communication.
By harnessing the power of data analytics, this project empowers Airtel to retain at-risk customers, ultimately boosting revenue, market share, and its position as a leading telecom provider.
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