Customer Profitability Analysis

Finalert builds the calculation account by account: gross revenue, discounts and rebates, direct cost, then the cost to serve. The output is a ranked list from most to least profitable, with the drivers visible behind each name, so a repricing or retention conversation starts from a number rather than from an impression.

This analysis is about the account, not the product line or the segment. We take costs that normally sit in one pool and push them out to the customers who caused them, using drivers your commercial team recognises. Then we rank, and the ranking usually contains at least one surprise near the top and one near the bottom.

Customer profitability analysis begins with revenue as the customer actually pays it. List price is a starting point, not an answer. We strip out volume discounts, negotiated rates, promotional pricing, rebates earned and accrued, credits issued, allowances and any free goods or services that were part of the deal. Rebates in particular distort a ranking badly, because they are often accounted for centrally and never land against the account that earned them. Getting to true net revenue per account is frequently the first place the picture changes.

Then comes cost to serve, which is the part most companies never allocate. Support and account management time, pre-sales effort, order handling, freight and delivery including split and expedited shipments, returns and the processing they trigger, warranty and rework, credit control effort, and the financing cost of the payment terms that account actually takes rather than the ones on the contract. Each of these gets a driver: tickets, deliveries, order lines, return units, hours or days outstanding, depending on what your systems can support honestly.

Allocation that your commercial team will accept

Allocation only works if the people affected believe it. So we use drivers that connect visibly to customer behaviour and we avoid allocating on revenue, since spreading cost in proportion to sales guarantees that the biggest account looks the most expensive whatever it does. Where a cost genuinely cannot be traced to an account, we leave it in an unallocated pool and show it rather than smearing it across the list to make the arithmetic tidy.

We also separate the costs that would disappear if the customer left from the ones that would not. That distinction changes every decision downstream. An account below the line on fully absorbed cost can still be contributing usefully to fixed overhead, and dropping it would leave the overhead behind with less revenue to carry it. The analysis shows both views side by side, along with the assumptions behind each, so the discussion is about the right question.

What the ranking is for

The deliverable is a ranked list with the drivers visible behind each account, usually grouped into tiers. The profitable core is worth protecting and understanding. The middle tier is where most of the movement is available, often through service behaviour or terms rather than price. The tail is where the specific conversations live: reprice, change the service model, move the account to a lower-touch channel, or accept it knowingly as a strategic relationship rather than by accident.

The same data answers a concentration question that boards ask and few companies can answer cleanly: how much of your profit, not your revenue, sits with your largest few accounts. We also track the ranking over time, because an account sliding steadily down the list is more informative than its position in any single period. Limits are worth stating: we build and run the analysis, your commercial and finance leadership own the pricing and retention decisions. We do not sign filings, issue audit or attest opinions, give legal advice or act as your accountant of record.