Reducing Customer Churn and Improving Network Performance for a Telecom Company
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Company Overview
Our client is a leading telecom provider operating across multiple regions, offering a wide range of services, including mobile, broadband, and enterprise solutions. With a customer base of over 20 million subscribers, the company is known for its extensive network coverage, innovative digital offerings, and commitment to delivering exceptional customer service.
The company has been a pioneer in adopting cutting-edge technologies such as 5G, IoT, and cloud-based communication services, ensuring they remain at the forefront of the telecommunications industry. They cater to both individual customers and businesses, providing tailored solutions to meet diverse connectivity needs.
The Challenges
The client faced key challenges, including:
- High customer churn, impacting revenue and market share.
- Poor network performance, leading to customer dissatisfaction.
- Disconnected data systems, making analysis and decision-making difficult.
Our Solution
SR Analytics partnered with the client to solve these challenges by:
- Data Integration: We combined data from various systems into a centralized data warehouse for better analysis.
- Churn Prediction: We built a machine learning model to identify customers likely to leave, analyzing usage patterns and complaints.
- Network Analytics: We set up real-time tracking of network performance to identify and fix problem areas quickly.
- Personalized Solutions: Using the data insights, we created targeted campaigns and personalized service offers for customers.
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The Results
Our solution delivered impactful results:
- 15% Drop in Customer Churn: Proactive engagement helped retain at-risk customers.
- Better Network Performance: Complaint rates dropped by 20% with real-time optimization.
- Higher Customer Satisfaction: Tailored services increased satisfaction by 25%.
- Efficient Decision-Making: Integrated data reduced decision-making time by 30%.