It’s a challenging market for telecom operators. New entrants focused on rapid growth and customer acquisition are intensifying competition, pushing established mobile and fixed-line providers to lower prices and offer cash incentives to attract customers. These tactics compress margins and increase acquisition costs. Whether it’s a broadband provider offering free installation and extra home routers or a mobile operator subsidising handsets, customers now expect attractive onboarding deals. When customers take these offers and then switch as soon as contracts end, operators can lose significant sums—sometimes hundreds of pounds for technical installations—and when this repeats across many customers it can substantially erode profits.
Regulatory changes that make switching easier reinforce the need for smarter retention strategies. With proposals such as a simplified “one-touch” broadband switching process, operators must make careful decisions about which customers are likely to be profitable over time and which are likely to cost the company money. Retaining the most valuable customers is increasingly vital.
What makes a customer valuable—or not?
Customer value can be evaluated from multiple perspectives. A high-value customer might have a long tenure, meaning acquisition costs have been recouped. They may rarely contact customer service, resulting in a low cost-to-serve. Regular upgrades, frequent purchases of add-ons, or digital self-service onboarding that lowers acquisition expense are other traits of valuable customers. Operators should prioritise keeping these customers.
Conversely, loss-making customers often display behaviours such as frequent switching to chase the cheapest deal, high contact centre usage, late payments, or little brand loyalty. Focusing retention efforts on quality rather than sheer numbers helps ensure long-term profitability by attracting and keeping customers who produce the best returns.
Unprofitable customers are frequently the result of many small drivers rather than a single obvious cause. Some factors are fixed while others are changeable; the crucial step is identifying which contributors can be influenced and which cannot.
The ability to identify the drivers of profitability depends on analysing data to form a single, consolidated view of each customer. Many operators struggle with this because organisational and data silos fragment visibility. Telecoms businesses run on complex infrastructures, and departments—sales, network operations, customer service, billing—often only see their portion of the picture. This prevents joining the dots across systems and teams, making it difficult to determine which customers are profitable and why, and creating avoidable revenue leakage.
A platform approach to profitability
Deploying an analytics platform across the technology stack helps resolve visibility issues and build a single customer view. By analysing data down to the subscriber level, operators can uncover pockets of profitability and identify small changes that deliver rapid return on investment, while also informing strategic long-term plans. Advanced analytics and machine learning can reveal trends and patterns over time, turning customer value into a measurable metric. With that insight, operators can shape acquisition strategies to attract the right customers, allocate resources to the most effective channels, and design targeted campaigns that drive sustainable growth.
There are many practical applications for a value-based approach. Two examples illustrate the impact:
- Identifying high cost-to-serve customers: High service usage can render customers unprofitable even when that cost is not immediately visible. For example, one operator discovered through analysis that a specific handset model triggered frequent, lengthy calls to technical support for setup help. These calls not only consumed costly agent time but also clogged technical support capacity. The solution—adding a clear setup instruction sheet with that handset and improving call-centre training—reduced support demand and saved the operator considerable expense.
- Supporting pricing strategy with data: In crowded markets, price cuts can seem like the easiest response, but they aren’t always the most profitable choice. Data-driven analysis helped another operator decide whether to retain prices or follow competitors in a price reduction. The findings showed that while keeping prices steady might reduce the number of new leads, the higher contract value from retained customers produced better long-term returns than cutting prices, ultimately preserving millions in revenue.
Data-led decision-making is crucial
The most important task for any service provider is to base decisions on robust data rather than emotion. In a fast-moving industry it’s tempting to react quickly to competitors’ moves with tactics that look promising on the surface, but without data those choices can backfire. A granular, customer-level view lets operators anticipate outcomes more reliably.
Increasingly, telecoms providers are moving beyond averages to understand individual customer behaviours and intentions. A value-based management approach makes it practical and cost-effective to extract meaningful insights from customer data, enabling more effective retention, smarter acquisition, and improved long-term profitability.
Photo by Micheile Henderson on Unsplash
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