Telecom companies around the world are facing challenging market conditions and revenue declines. High subscriber churn rates – caused by network congestion and increasing competition from Over-The-Top (OTT) services – are few of the culprits. As they continue to compete for new customers, their key revenue challenge is to arrest losses by retaining their existing customers and enhancing the income stream from each of these customers.
We at Dhruv help Telecom companies analyse data using sophisticated business intelligence (BI) technologies that are packaged to satisfy the complex requirements of telecom organizations. These include increasing sales, reducing churn and fraud, improving risk management and decreasing operational costs. Analysing key metrics like average revenue per user (ARPU), churn rate, and subscriber growth. The average revenue per user (ARPU) measures the average revenue a company generates per user over a given time.
We assist companies with:
Customer Growth Analysis: The revenue of the telecom companies depends on the ability to grow its customer base and add new subscribers, which is an extremely important metric. With Dhruv, we assist companies to create a steady subscriber growth rate, keeping up with technology trends and attracting new customers.
Churn Rate Analysis: Understanding the rate at which customers stop doing business with an entity is very important. The churn rate measures a company's loss in subscribers for a given period of time.
Customer Segmentation & Usage Analysis: Identify the usage analysis using Call Data Records (CDR) and design the customer analytics and usage behaviour on Data and Voice usage and segment customers into bonafide, power and casual customers on a month on month basis.
Retention analytics: Assist companies with real-time analytics with a powerful segmentation engine, and a suite of engagement tools by breaking the data in a data set into related groups. It helps us gain insights on how to maintain a profitable customer base by improving retention and new user acquisitions.
Engagement strategies: Create various Engagement strategies like Personalize the Customer Service Experience, understanding Customer Expectations, Omnichannel Customer Experience, Leverage AI-Powered Analytics and Data
Revenue enhancement strategies:
Fraud detection: Fraudulent attacks such as account takeover, transaction fraud, and subscription fraud targeting telecommunications operators can be detected with real-time monitoring, digital foot printing and data enrichment.20-Jan-2023
Service quality analysis: Measure how an organization delivers its services compared to the expectations of its customers. Customers purchase services as a response to specific needs.
With 5 dimensions of service Reliability, Tangibility, Empathy, Responsiveness, Assurance
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