Telecom Company Market Analysis – How Customer Lifetime Value Study Helped a Telecom Company to Increase Retention Levels

May 10, 2018

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LONDON: Quantzig, a global analytics services provider, has recently completed their latest customer lifetime value prediction for a telecom industry client. The global telecom industry consists of giant players that make communication possible on a global scale, through either the phone or the Internet. Internet service providers, cable companies, wireless operators, and satellite companies are some of the most significant companies in this sector. The telecom industry is mainly driven by technological innovations and developments, which help to offer a wide range of communication services at low-cost margins.

The customer lifetime value calculation offered by Quantzig assisted the telecom company to identify the necessary marketing efforts to reduce churn rates and ensure the right amount of marketing investments toward profitable customers. They were also able to profile the potential customers and develop a marketing strategy that maximized retention, net profit, and minimized acquisition and re-marketing costs,” says an industry expert from Quantzig.

The customer lifetime value prediction study helped the client optimize interactions and conversations to drive customer referrals, repeat purchases, and reduce support costs. These solutions also offered real-time and actionable insights into customers based on future cash flows, which helped the client proficiently differentiate customers in terms of profitability.

To know more about how our customer lifetime value study helps telecom companies reduce costs, and build long-term relationships with customers, speak with our analytics experts.

Additional Benefits of the Customer Lifetime Value Study

  • Achieve a higher retention rate and build long-term relationships with the customers
  • Drive repeat purchases, customer referrals, and reduce support costs
  • Develop a marketing strategy to maximize retention and net profit

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