Your biggest customer might be your biggest loss.
In distribution, gross margin per customer tells you almost nothing. The cost to serve, order frequency, line complexity, returns, delivery access, payment terms, varies 5 to 10 times between customers. A high-volume account on tight terms and frequent small drops can lose money on every order while looking like a flagship on the sales report.
Cost and Profitability Consulting · 150+ models since 2010 · TDABC
Cost to serve varies 5 to 10 times between distribution customers, so revenue and gross margin are poor guides to who is actually profitable. Our own NZ Distributor case study is the clearest proof: once cost to serve was fully loaded, accounts that looked like flagships on revenue were running at a loss, and the work cut the served cost base sharply while keeping the relationships. Net customer margin, not gross, is the number that decides what to do next.
Revenue flatters the wrong accounts.
Sort customers by revenue or gross margin and the biggest names sit proudly at the top. Load the cost to serve, the frequent small orders, the returns, the awkward delivery window, the long payment terms, and the order inverts. Some flagship accounts cross into loss while quieter, simpler customers turn out to carry the business. Gross margin cannot see any of this, because every one of those costs sits below the gross line.
GROSS LOOKS FINE. NET DECIDES.
Illustrative. Every customer shows a healthy gross margin; once cost to serve is loaded, the net margin tells a different story, and the largest account by revenue is the one that flips into loss.
The NZ Distributor case is our clearest proof: fully loaded cost to serve turned revenue flagships into losses, and we cut the served cost base sharply while keeping every relationship.
It is distinct from the anonymous sector patterns: a real, named engagement where net customer margin changed the commercial plan. As an illustrative sector pattern alongside it, a mid-size distributor found its largest customer running at around a 13 to 15 percent loss once cost to serve was fully loaded across hundreds of thousands of line items, then renegotiated order minimums, frequency and terms rather than walking away, and the relationship turned profitable.
Renegotiate before you walk away.
Load cost to serve
Run the delivery and handling time equations to net margin per account, not gross.
Rank by net
Re-sort customers by net margin. The flagships that flip into loss are the priority.
Change the terms
Order minimums, delivery frequency, returns policy, payment terms, the drivers that made the account expensive.
Keep the relationship
Renegotiation, not exit, is usually the answer. The NZ case kept its accounts and fixed the economics.
Frequently asked questions
- Why is a distributor's biggest customer often unprofitable?
- Cost to serve varies 5 to 10 times between distribution customers, so revenue and gross margin are poor guides to who actually pays. A high-volume account on tight terms with frequent small drops and returns can lose money on every order while looking like a flagship on the sales report. Net customer margin, after cost to serve, is the number that decides what to do next.
- What did the NZ Distributor case find?
- Once cost to serve was fully loaded, accounts that looked like flagships on revenue were running at a loss. The work cut the served cost base sharply while keeping the relationships, rather than walking away from large customers. It is our clearest worked example that net, not gross, customer margin is what matters.
- What do you do with an unprofitable account?
- Renegotiate rather than walk away. As an illustrative sector pattern, a mid-size distributor found its largest customer running at around a 13 to 15 percent loss once cost to serve was fully loaded across hundreds of thousands of line items, then changed order minimums, delivery frequency and terms instead of exiting. The relationship survived and turned profitable.
Find out which accounts actually pay.
The Profit Check takes five minutes and no data upload. It points to where your revenue flagships are most likely net-negative, and what fixing them is worth.