Customer Experience Case Study
How NettScience Helped a Telecom Company Improve Customer Experience Through Sentiment Analysis
Introduction
A leading telecom company struggled with high churn rates & inconsistent customer satisfaction. We implemented a sentiment analysis strategy to extract insights from customer feedback, enabling service improvements & a 15% boost in customer retention in a year.
Key Challenges
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High Churn Rates – Customers left due to service issues and poor support.
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Scattered Feedback Data – Feedback from social media, call centers, and surveys was unstructured and difficult to analyze.
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Lack of Proactive Engagement – No system to identify and resolve issues before they escalated.

Our Approach
Data Collection & Integration
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Aggregated feedback from social media, reviews, call logs, and surveys.
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Used ETL (Extract, Transform, Load) processes to clean and integrate data for analysis.
AI-Powered Sentiment Analysis
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Applied Natural Language Processing (NLP) to classify feedback as positive, neutral, or negative.
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Identified key issues like network reliability, billing problems, and poor customer service.
Actionable Insights & Visualization
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Built interactive dashboards (Power BI) to monitor sentiment trends.
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Provided data-driven recommendations to improve resolution times and service quality.
Proactive Customer Engagement
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Launched targeted campaigns offering discounts and upgrades to dissatisfied customers.
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Implemented real-time alerts to help support teams address negative feedback quickly.
Results Achieved
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15% Increase in Customer Retention – By resolving service issues proactively.
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20% Improvement in Positive Sentiment – Due to enhanced service and personalized engagement.
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30% Reduction in Complaint Resolution Time – By prioritizing urgent issues effectively.
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Data-Driven Decision Making – Leadership used real-time customer insights for strategic planning.
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