Your Biggest Customer May Be Your Worst Deal: The Revenue Trap
Kanthal found 20% of customers generated 225% of profits while the bottom 10% erased 125%. Revenue growth alone can hide a business that's quietly losing money.
By Grace Kim
3 min read
What's News
- At Kanthal, the most profitable 20% of customers generated roughly 225% of total company profit.
- Kanthal's least profitable 10% of customers eliminated about 125% of company profit.
- Two of Kanthal's three largest customers by sales volume were among its least profitable.
- FedEx prices shipments based on how customer behavior — oversize, handling, volume surges — changes network cost.
At Swedish manufacturer Kanthal, the most profitable 20% of customers generated roughly 225% of total company profit — while the least profitable 10% wiped out about 125% of it. That math comes from one of the best-known case studies in customer profitability, and it explains why revenue growth alone can hide an eroding business.
The argument comes from a CFO of a financial services company managing a large portfolio of leases and loans, writing in Entrepreneur. The core claim is simple: revenue tells you how much business a customer gives you, but it does not equate directly to value.
Why do two equal-revenue customers produce unequal profits?
The CFO has watched the pattern play out repeatedly. Two customers generate similar revenue and very different economics. One pays on schedule, operates within standard terms and needs little intervention. The other produces late payments, collection activity, servicing demands, exceptions and greater credit exposure. On a revenue report they look identical. In profit terms, they're not close.
The same dynamic cuts across industries, according to the author:
- A manufacturer absorbs engineering changes and short production runs for one customer.
- A software company spends hours supporting an account whose subscription revenue barely covers the effort.
- A distributor makes frequent, uneconomical deliveries.
- A consumer business finds a seemingly attractive segment has unusually high return rates.
"Many younger businesses view revenue and sales as universally good," the author writes, "but the simple fact is there is better revenue and complicated or costly revenue."
What did Kanthal discover about its largest accounts?
Most companies measure product economics far better than customer value. The costs tied to an individual account sit scattered across the organization, and when a few customers disproportionately consume staff time, tracking breaks down. Firms know exactly what a customer generates in revenue while holding only a vague sense of what that customer contributes.
Kanthal fixed that. After developing a more detailed method for assigning selling, ordering and administrative costs to individual customers, its management discovered that two of its three largest customers by sales volume were among the least profitable.
The result becomes intuitive when you look at how large customers behave. They command purchasing power to negotiate deeper discounts, more favorable payment terms and customized service — all while placing irregular orders or demanding significant attention. They look attractive to sales while creating substantial costs elsewhere.
The takeaway in plain words: the largest customer is not always the most valuable one.
Can you redesign an unprofitable relationship?
Discovering a customer is expensive to serve doesn't mean walking away, the author argues. The real question is whether the business can change the economics. Customer profitability can be shaped by pricing, service levels, payment terms, minimum orders, automation and how much customization is allowed.
FedEx shows the model. Its pricing structure recognizes that shipments are not economically interchangeable — oversized packages, unusual handling requirements or volume surges strain the network. The principle: when customer behavior changes your cost, your economic model should react to that behavior.
The same logic applies anywhere. A manufacturer can charge for engineering changes. A software company can reserve high-touch service for premium tiers. A distributor can set minimum order sizes. A lender can adjust pricing or credit terms as risk increases.
Why does growth multiply the problem?
Early on, landing one important customer can create value beyond margin — credibility, product validation, cash flow at a critical moment. The trouble starts when customizations and exceptions become the template for growth. One customer gets custom reporting, another negotiates unique billing, a third requires a different service workflow. The company hires and modifies systems around individual accounts. Management ends up running a bigger organization without proportionally better profitability.
The author's prescription: customer profitability should shape sales priorities, pricing decisions, product design and which customers the company actively pursues. Imagine adding 10% more of your best client types versus 10% of your lowest-margin, most costly ones. That single comparison, the author argues, should drive decision-making at any scaling business.
Source: Entrepreneur
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Market editor covering people, launches and day-to-day practice in entrepreneurship, startups and venture funding at Business Bearings.
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