Ecommerce & CRO
GMV
Gross Merchandise Value
GMV, or gross merchandise value, is the total value of goods sold through a store over a period, before deducting discounts, returns, refunds, or fees. It measures the scale of a marketplace or store rather than its profitability, which is why it is quoted often and should be read carefully — net revenue can be far lower.
Why it matters
GMV is the number quoted when a business wants to sound larger than it is, and there is nothing dishonest about that as long as everyone reading it understands what has not been deducted.
What sits between GMV and money in the bank is substantial: discounts, returns, refunds, shipping costs, payment processing, platform fees, and cost of goods. A store with £2m GMV and a 30% return rate in apparel has £1.4m of net sales before a single cost is counted. Two businesses reporting identical GMV can have entirely different economics.
Where the number is genuinely useful is as a scale measure over time. GMV growth quarter on quarter says whether the business is getting bigger, which is a different question from whether it is getting healthier and worth tracking separately.
How it works on Shopify
Shopify's Analytics distinguishes gross sales, discounts, returns, net sales, and total sales, and the definitions matter more than the labels suggest. Gross sales is the closest reported figure to GMV; net sales is what remains after discounts and returns; total sales adds shipping and tax collected.
Which one a team quotes should be agreed once and then held to, because the gap between them widens exactly when the business is running promotions — the period when reporting most needs to be trustworthy.
The comparison worth building is GMV against contribution margin over the same window. When GMV rises and margin does not, the growth was bought with discounting, which is worth knowing early rather than at year end.
For multi-channel merchants, GMV should be read per channel. Online, POS, and marketplace revenue carry different fee structures and different return rates, so a blended figure conceals which channel is actually contributing.
Common mistakes
- Treating GMV as revenue. It is not, and in categories with high returns the gap is enormous.
- Comparing GMV across businesses. Different fee structures, return rates, and margins make the comparison meaningless without the same adjustments applied to both.
- Celebrating discount-driven growth. A promotion raises GMV by definition. Whether it raised profit is a separate calculation nobody does in the moment.
- Ignoring returns lag. Returns arrive weeks after the sale, so a strong month looks better than it is until the window closes.
- Mixing channels. Marketplace GMV net of commission and DTC GMV are not the same unit and should not be added together.
When you need help
The signal is a reporting stack where nobody can reconcile the numbers — Shopify says one thing, the ad platforms say another, the accounting system says a third, and each meeting starts by arguing about which is right.
That is usually a definitions problem rather than a data problem: which figure counts as revenue, when a return is recognised, and how ROAS is attributed. Fixing it is unglamorous and it is what makes every subsequent decision defensible.
Related terms
- AOVAOV, or average order value, is the average amount a customer spends per order — total revenue divided by number of orders over the same period. It is one of the three levers on ecommerce revenue, alongside traffic and conversion rate. Raising AOV through bundling, upsells, or free-shipping thresholds is usually cheaper than buying more traffic.
- ROASROAS, or return on ad spend, is the revenue produced per dollar of advertising — $4 back on $1 spent is a ROAS of 4. It measures campaign efficiency, not profitability: a 4× ROAS on a product with a 20% margin still loses money. Blended ROAS, measured across all spend and all revenue, is harder to game than platform-reported figures.