FeeCalculate

Marketplace Fee Matrix

Compare Etsy, eBay, Amazon FBA, Poshmark, and Shopify side by side — real net payout, real total fees, real profit margin, sorted so the best platform for your numbers is obvious at a glance.

Fees last verified: 2026-08-02

Your numbers

Results update instantly as you type.

USD
USD
USD

What you pay to ship the order — not an amount charged separately to the buyer.

Amazon's referral fee varies by category — select yours for an accurate result. Left blank, Amazon's result uses a 15% estimate.

Currency conversions use approximate rates for illustration and may not reflect current market rates. Fee percentages themselves are unaffected by currency — only converted-amount figures are estimates.

Shopify (Shopify Payments, US)Best margin

Total fees

$1.03

Net payout

$23.98

True margin

35.9%

Etsy

Total fees

$2.83

Net payout

$22.18

True margin

28.7%

eBay

Total fees

$3.70

Net payout

$21.30

True margin

25.2%

Poshmark

Total fees

$5.00

Net payout

$20.00

True margin

20.0%

Amazon FBA

Estimated — select a category for accuracy

Total fees

$7.71

Net payout

$17.29

True margin

9.2%

How the Marketplace Fee Matrix works

Enter your cost of goods, retail price, and shipping cost once, and this tool runs that same set of numbers through five different marketplace fee schedules at the same time — Etsy, eBay, Amazon FBA, Poshmark, and Shopify — instead of making you open five separate calculators and copy numbers between tabs. For each platform, it computes total fees, net payout (what the platform actually deposits after taking its cut), and true profit margin (what you actually keep after your own product and shipping costs too, not just the platform's cut). Results are sorted highest margin first, with the leader visually highlighted, and every number updates live as you type — no submit button, no page reload.

Who this is for

For any seller who lists — or is considering listing — the same product across more than one marketplace, and wants a real answer to "where should I actually be selling this?" rather than guessing from memory or juggling five browser tabs. It's especially useful before committing inventory to a new channel, since fee structures vary enough that a product profitable on one platform can be a loser on another once every fee is accounted for.

Worked example

Say you sell a home-goods item for $25, it costs you $10 to make or source, and $5 to ship. On Shopify (Shopify Payments, basic plan), fees are just 2.9% + $0.30 = $1.03, netting $23.98 from the platform and a true profit margin of about 35.9% after your $10 cost and $5 shipping. On Amazon FBA in the Home, Kitchen, Toys & Sports category, the 15% referral fee ($3.75) stacks with a ~$3.18 fulfillment fee and ~$0.78 in estimated monthly storage — $7.71 in total fees, a true margin of about 9.2%. Same product, same costs, a roughly 27-point swing in real profit margin depending purely on where it's listed — exactly the kind of gap a single-platform calculator can never show you.

Frequently asked questions

Why does Etsy's Offsite Ads fee hurt so much more than the '12-15%' headline number?

Because that percentage isn't charged on your item price alone — it's charged on your full order total, including shipping (and tax, where applicable). A documented real-world example: a $10 item with a $22.23 total order was charged $3.13 in Offsite Ads (15% of the $22.23 total) — that reduces the seller's margin by more than 31% of the item price, not the 15% the headline rate implies. This calculator's Etsy math applies the ad fee to (retail price + shipping cost), exactly like Etsy actually does, so the number you see here reflects that gap instead of hiding it.

Why does my actual Amazon FBA payout always come in lower than what a calculator promised?

This is one of the most common complaints in seller communities: 'the calculator says you'll net $8-10... then actual payouts hit and you're clearing $5, sometimes less.' It happens because most calculators either use one flat referral-fee percentage for every category, or quietly drop the fulfillment fee and storage fee out of the total. Amazon's referral fee genuinely ranges from 8% to 45% depending on category — there is no single correct flat rate. This tool asks for your product category and adds the referral fee, the FBA fulfillment fee, and a monthly storage-fee estimate as three separate line items, instead of collapsing Amazon down to a number that looks clean but isn't accurate.

Which platform actually keeps the most of my sale?

It depends entirely on your price point, product category, and shipping cost — that's exactly why a side-by-side comparison matters more than any single platform's calculator. The table above is sorted by 'true profit margin,' the highest-margin platform first, and that ranking can flip completely depending on your numbers: a $15 item might do best on Poshmark (below its $15 flat-fee threshold), while a $60 item in an expensive Amazon category might lose to Etsy or Shopify once referral, fulfillment, and storage fees stack up.

What does 'Estimated — select a category for accuracy' mean under Amazon's result?

It means no product category was selected, so the calculator fell back to a 15% referral-fee estimate rather than your product's real rate. Amazon doesn't have one flat fee — electronics run as low as 8%, while device accessories can run as high as 45%. Selecting your actual category from the dropdown replaces that estimate with the correct rate and clears the disclaimer.

Is this really multi-currency, or just relabeled dollars?

Both, depending on the platform and currency. Where a platform's fees are genuinely documented as different outside the US — currently just Etsy's payment processing rate, which runs closer to 4% in the UK/Eurozone versus 3% in the US — this tool applies that real regional rate when you select EUR or GBP. Everywhere else, fees are shown as their USD figure converted into your selected currency using a static placeholder exchange-rate table, which is clearly flagged as needing a live-rate upgrade before it should be treated as financial-grade precision. MAD in particular has no platform-specific research behind it yet and is the top item on our list to fix.

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