Profitability Per SKU: The Number That Reorders Your Whole Catalog
Your bestseller is whatever GMV says it is. Your best SKU is whatever survives after the platform takes its cut.
Pull up your marketplace dashboard and sort by revenue. The SKU at the top feels like the hero of the catalogue. Everyone protects it, stocks deep on it, builds campaigns around it. Now do something most teams never do. Take that same SKU and subtract every cost the platform charges to sell one unit. Referral fee, closing fee, weight-based shipping, return handling, the ad spend it took to win the order. What is left is contribution per unit. Run that math across the catalogue and the list almost always reorders. The bestseller drops. A quiet SKU three rows down turns out to be the one paying the rent.
This is the single most clarifying number in marketplace analytics, and it is the one almost nobody reports. GMV is loud and easy. Profitability per SKU is quiet and hard. So teams optimise the loud number and wonder why scale never turns into money.
GMV ranks attention, not value
Gross merchandise value tells you which SKU moves the most rupees through the platform. That is a measure of attention, not of worth to your business. A high-GMV SKU can be a margin sinkhole. It might carry a heavy referral percentage in its category, ship at a weight that eats the contribution, attract returns that quietly double its cost of sale, or only sell at volume because it is propped up by aggressive ad spend that never appears next to the revenue line.
None of that shows up when you sort by GMV. The number looks magnificent right up until you net it down. And because the platform reports revenue prominently and costs in a dozen scattered statements, the flattering view is the default view. You have to go looking for the truth.
GMV tells you what the platform sold. Contribution per SKU tells you what you got to keep. Only one of those pays salaries.
What actually goes into per-SKU contribution
Contribution per unit is not complicated. It is just tedious, which is why it gets skipped. For a single unit of a SKU, start at the selling price and remove everything the sale costs you to deliver:
- Cost of goods. The landed unit cost, including inbound freight and any pre-marketplace handling.
- Referral fee. The platform’s category commission. This varies enormously by category and is the silent killer on low-price items.
- Fulfilment and weight fees. Pick, pack, and shipping. Heavy or bulky SKUs can lose here even at a healthy headline margin.
- Returns cost, amortised. Not just the refund. The reverse logistics, the inspection, the units that come back unsellable. A high return-rate SKU carries this on every unit sold, not only the returned ones.
- Ad cost per unit. Total spend on that SKU divided by units sold. If it only sells because you pay for every click, that spend is part of its unit economics, full stop.
What remains is contribution per unit. Multiply by units and you have total contribution. Rank the catalogue by that, and you are finally looking at the business instead of the brochure. The returns line alone reorders fashion and apparel catalogues hard, which is why we treat return rate as a margin problem, not a logistics one.
The ad layer is where the bestseller usually dies
The most common reversal happens once you load ad cost onto the unit. A SKU can look profitable on cost-of-goods and fees alone, then turn negative the moment you account for the spend keeping it visible. This is exactly the trap of judging campaigns on the wrong metric. A pretty advertising cost of sales on a SKU that loses money per unit is not efficiency, it is a faster way to lose. We have argued at length that you cannot read ad efficiency without the total view, which is the whole point of looking at TACoS rather than the number your ad team prefers.
Put profitability per SKU and ad cost per SKU side by side and a pattern appears. Some SKUs earn their organic rank and barely need spend. Some are pure ad annuities, profitable only while you keep feeding them, dead the day you stop. Knowing which is which changes where every marginal rupee of budget goes. You stop subsidising vanity volume and start funding the SKUs that compound.
Quick commerce makes the math unforgiving
If marketplace contribution is tight, quick commerce is tighter. The take rates are steeper, the basket economics are different, and the margin for error is thin to non-existent. A SKU that contributes comfortably on a marketplace can go underwater the instant it enters a ten-minute channel with platform fees and darkstore economics layered on. Running per-SKU profitability is not optional there. It is the only thing standing between you and scaling a loss. We walk through that arithmetic in the quick commerce margin reality check, and the short version is that channel-blind unit economics will bury you.
The fee load on these channels is no longer the quiet part. Reporting in 2025 put Blinkit’s listing charge at around twenty-five thousand rupees per SKU per state, refunded as ad-wallet credit, with Instamart and Zepto quoting listing-cum-ad packages running into several lakh rupees, and one spice brand told Storyboard18 it spends ten to fifteen percent of GMV just to stay visible on the channel. A per-SKU model that ignores those fixed fees and the ad tax on top of them is not a model, it is a wish.
Same SKU, different channel, different verdict
Contribution is not a property of a SKU. It is a property of a SKU on a specific channel. The same product can be your best earner on one marketplace, break-even on another, and a loss leader in quick commerce. Averaging across channels hides all of it. The number only means something when it is cut by SKU and by channel together, which is precisely the kind of view a blended report is built to obscure.
What the reordered list tells you to do
Once you rank by contribution instead of GMV, the actions stop being guesswork. The catalogue sorts itself into a handful of honest buckets.
- High contribution, high volume. Your real heroes. Protect availability ruthlessly, never let these stock out, and concentrate the budget that compounds here.
- High contribution, low volume. Underexposed winners. These deserve more visibility, better listings, and the ad spend you were wasting on vanity SKUs. Fixing the listing often unlocks the volume.
- Low contribution, high volume. The dangerous bucket. Loud, busy, and barely profitable or worse. Re-price, renegotiate cost of goods, cut the ad dependency, or accept they are a deliberate loss leader. Never mistake their GMV for health.
- Low contribution, low volume. The long tail that quietly bleeds operational attention and working capital. This is the bucket for honest pruning.
That last bucket is where most catalogues are carrying dead weight they have never measured. Cutting it is not failure, it is hygiene, and it is the natural sequel to this analysis. Once profitability per SKU exposes the tail, the next move is rationalising the SKUs that are bleeding you rather than admiring how many listings you have.
What changed recently
Two shifts in the last several months should send every operator back to the per-SKU model to re-run it. The first is good news for low-price catalogues. In November 2025 Flipkart waived seller commission on goods under one thousand rupees, and Amazon India followed by removing referral fees in the same price band, a move Business Standard reported as a direct response to Flipkart. By March 2026 Amazon had expanded zero referral fees to more than twelve crore products under one thousand rupees across some eighteen hundred categories and trimmed Easy Ship fees for sub-three-hundred-rupee items, with YourStory noting sellers could cut fee costs sharply in that bracket. If a chunk of your catalogue sits under one thousand rupees, the referral line on those SKUs may have just gone to zero, and SKUs you had quietly written off as margin-negative can flip back into the black. Re-run the model before you prune them.
The second shift cuts the other way. The visibility tax on quick commerce keeps climbing. Storyboard18 reported that Blinkit, Zepto and Instamart together crossed three thousand crore rupees in advertising revenue in FY25 and are tracking toward roughly four thousand nine hundred crore this year, with advertising now near fifteen percent of Blinkit’s revenue. That money comes out of brand margins one sponsored slot at a time. The lesson is the same one the per-SKU model has always taught. Lower commissions on one channel do not make you profitable, and rising ad costs on another do not have to sink you. Only the contribution number, cut by SKU and by channel and refreshed when the fee structure moves, tells you which way each SKU actually broke.
Make it a number leadership can see
None of this works if the analysis lives in a spreadsheet one analyst opens once a quarter. Profitability per SKU has to be a standing view, refreshed and ranked, sitting where the people who set budgets and stock plans will actually look at it. That is a reporting discipline as much as an analytics one. A contribution-ranked SKU list, cut by channel, beside the GMV list everyone already trusts, is one of the most decision-changing things you can put on a single screen. Getting it there without drowning leadership in tabs is exactly what we mean by a dashboard leadership will actually read.
The short version
GMV ranks your catalogue by how much the platform sold. Profitability per SKU ranks it by how much you kept. Those two lists are rarely the same, and the gap between them is where the money you thought you were making quietly disappears. Net every SKU down to contribution after fees, returns, and ad spend, cut it by channel, and rank by what survives. When a platform zeroes a referral fee or raises an ad rate, the verdict on individual SKUs moves, so the model is not a one-time exercise. The bestseller you have been protecting may be the one you should be re-pricing, and the SKU you have been ignoring may be the one funding the business.
Building that view, channel by channel and unit by unit, is what our Analytics & Reporting work is for, and it is why our Marketplace Performance teams are judged on contribution rather than the GMV slide. Rank by profit, not by attention. The catalogue will tell you the truth the moment you ask it the right question.