CASE STUDY

How a Telecom Major Used Whitespace Analysis To Identify Existing Gaps in Framework and Increase Sales?

Sep 5, 2022

Highlights of the Case Study 

Particulars Description 
Client A telecom major in India was struggling with a high churn rate (customer attrition rate) which had a substantial negative impact on the sales numbers and revenue. 
Business Challenge The client approached Quantzig to leverage its advanced data analytics for conducting whitespace analysis to build an anti-churn model for customer retention.   
Impact Quantzig identified the gaps and designed an anti-churn model that created a correlation between the client’s subscription plans and customer needs.   

Game-Changing Solutions for the Telecom Industry 

The telecom industry is highly unpredictable, where customer retention is tremendously low. Service providers compete to provide lucrative offers and tariff plans to win more subscribers. Moreover, the government’s anti-monopoly policies also make the industry very volatile. It is, therefore, necessary to conduct whitespace analysis to bridge the gap between what ongoing plans the existing customer has activated and what else can be provided.  

Whitespace analysis involves digging deep into the sales data to explore opportunities to scale up business revenue from the existing customers by deploying the cross-selling and up-selling approaches. The more services the current user base is activating, the harder it will be for them to move to another service provider. Hence companies will benefit from customer loyalty and a high turnover rate.  

Quantzig’s whitespace intel analyses the current market needs to identify what services are succeeding among the telecom operators worldwide, what benefits have become outdated and examines the potential for new growth opportunities. Our competitive intelligence can leverage sales numbers to identify the gaps and suggest growth strategies. This will include upselling and cross-selling strategies resulting in top-line growth.  

The Challenges of the Telecom Client 

Our client, a telecom major in India, was struggling with the high churn rate (customer attrition rate), which had a substantial negative impact on its sales numbers, adversely affecting the top-line growth and market share. The client approached Quantzig to conduct a whitespace analysis and help build an anti-churn model for customer retention.   

Some of  the data points that the client was struggling with were as follows:  

  • 70% of the Indian subscribers keep shifting to other service providers for better deals.  
  • 5% was the average quarterly churn rate for the client.  
  • Existing models for cross-selling and upselling strategies were failing to keep the business afloat.   

The telco client wanted our sales analytics and competitive intelligence solutions to fine-tune and create successful upselling and cross-selling strategies based on customer activation plans to offset the churn-based loss and increase sales.  By leveraging our whitespace analysis solutions, we were able to provide much more to the client.

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Quantzig’s Big Data Analytics and Whitespace Analysis Solutions 

Quantzig identified the gaps in the client’s existing framework by conducting a white space analysis leveraging its big data analytics to curate the sales data across all subscription plans. We segmented the existing customers based on various parameters, including spending, demographics, purchases, etc., to develop effective upsell and cross-sell recommendations.   

Based on our white space gap analysis findings, we designed an anti-churn model that determined the correlation between the client’s subscription plans based on customer behavior.  With this model, the client was able to identify the trends, visualize the existing known variables and put down conclusions regarding the perfect additional services that would match a group of customers’ original plans. This enabled the client to drill down to the leading cause of the churn rate, which helped develop a satisfied customer base, leading to increased sales from the existing customer base in less than half the cost involved in new customer acquisition.  

Impact Analysis of Big Data Analytics Solutions 

Our custom build model backed by data analytics helped the client achieve the following benefits:  

  • Unlock millions from the existing customer’s purchases 
  • Identify the existing customers in the new market spaces  
  • Identify possible gaps in sales and improve the current strategies to reach customers better  
  • Eliminate customer attrition rate  
  • Increase sales four-fold  
whitespace analysis

Key Outcomes 

Quantzig’s intervention enabled the client to implement its service recommendation platform improvements successfully. Improved recommendations increased the client’s chances of being visible among other network operators. Quantzig’s advanced data analytics solutions enabled the client to leverage its existing customer database to identify white spaces and use that information to provide targeted services for cross-selling and upselling purposes. This helped the client to improve its relationship with existing customers, ensured customer loyalty, and reduced the costs involved in acquiring new customers. All these factors helped improve the client’s business and raised profits.  

Broad Perspective on the Role of Whitespace Analytics in the Telecom Sector 

Data analytics in the telecom industry is an intelligence process by which network service providers (NSPs) can analyze their voluminous data and determine actionable insights.  These insights can lead to a satisfying customer experience, ensure retention and increase sales.  Quantzig’s advanced data analytics technologies can help automate and streamline processes for telecom service providers.  

Key Takeaways of Whitespace Analytics: 

Quantzig’s big data analytics solutions helped the client achieve the following: 

  • Identified whitespaces where cross-selling and upselling could be implemented  
  • Reduced customer churn by providing better plans and services 
  • Matched customer groups to specific plans for better adoption success 
  • Increased sales four-fold 
  • Leveraged existing customers to reduce new customer acquisition costs 

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  1. How Did a Telecom Service Provider Prioritize Expansion Opportunities with Network Optimization Techniques? 
  1. How Telecom Major Used Social Media Analysis to Understand the Sentiment of their Customers? 
  1. How Did Market Basket Analytics Help a Telecom Company Develop Combo Offer Plans for their Customer and Increased Revenue Opportunities? 

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