Ads & ROAS

Break-Even ROAS Calculator

The exact ROAS your ads need to hit to not lose money. Considers selling price, COGS, shipping, and transaction fees.

Inputs

What the customer pays you $ Please enter a valid number.
Supplier cost per unit $ Please enter a valid number.
Your per-order shipping cost $ Please enter a valid number.
Stripe default 2.9% % Please enter a valid number.
Stripe default $0.30 $ Please enter a valid number.

Results

Non-ad cost per unit
Gross margin per unit
Gross margin %
Break-even ROAS

All calculations run in your browser. Nothing is sent to a server. Last updated: 2026-07-19 · Formula verified against published sources (see below).

Formula
Break-even ROAS = Selling price ÷ (Selling price − Non-ad costs per unit)

What break-even ROAS means

Break-even ROAS is the minimum Return on Ad Spend your campaigns need to hit for the product to not lose money. If your actual ROAS is above break-even, you're profitable. Below break-even, you're losing money on every order — even if revenue looks high.

The formula, in plain language: Break-even ROAS = selling price ÷ (selling price − non-ad costs per unit). Equivalently, it's 1 ÷ gross margin %. If your gross margin is 50%, break-even ROAS is 2.0×. If your gross margin is 25%, break-even ROAS is 4.0×.

What counts as "non-ad costs"

This calculator includes product cost, shipping cost, and the payment processing fee. It does not include ad spend — because the whole point of break-even ROAS is to find the ad spend threshold. Once you know your break-even ROAS, you compare it to your actual ROAS to know if you're making money.

Why most beginners get this wrong

The most common mistake is calculating break-even ROAS as 1 ÷ ((selling price − product cost) ÷ selling price) — i.e. ignoring shipping and payment fees. That gives a falsely low break-even ROAS, which makes you think a campaign is profitable when it's actually underwater. The Dropship.io BEROAS calculator does this, for example. Always include shipping and payment fees in non-ad costs.

What ROAS is actually profitable?

Break-even ROAS is the floor, not the target. Reddit consensus (r/dropshipping) is that a campaign should run at 20–30% above break-even ROAS before you call it "profitable" — because real life has returns, chargebacks, scaling inefficiency, and weak days. Read our full article on profitable ROAS for the reasoning.

Worked example: $40 product with 50% gross margin (looks easy)

InputValue
Selling price$40.00
Product cost$15.00
Shipping$5.00
Stripe fee on $40 (2.9% + $0.30)$1.46
Non-ad cost per unit$21.46
Gross margin$18.54 (46.35%)
Break-even ROAS2.16×

Common beginner mistake: calculating break-even ROAS as 40 ÷ (40 − 15) = 1.6× — ignoring shipping and Stripe fees. That makes you think 1.8× ROAS is profitable when it's actually losing money.

With the correct break-even of 2.16×, you need your ad campaigns to deliver at least 2.16× return to not lose money — and realistically 2.6–2.8× to be profitable after returns and chargebacks.

Frequently asked questions

Is break-even ROAS the same as 1 divided by margin?
Yes. Break-even ROAS = 1 ÷ gross margin (as a decimal). 50% margin = 2.0× break-even ROAS. 25% margin = 4.0× break-even ROAS. This is true only when "gross margin" includes all non-ad costs (product, shipping, payment fees), not just product cost.
What if my actual ROAS equals break-even ROAS?
You're breaking even — making $0 profit per order, but not losing money either. This is fine for testing a product (you're collecting data for free) but not a sustainable place to stay.
Should I include Shopify monthly fees in break-even ROAS?
No. Break-even ROAS is a per-unit metric. Shopify's $29–$79/month plan is a fixed cost that affects your overall break-even (see the break-even units calculator), not your per-order ad threshold.
Not financial advice. This calculator is a math tool, not financial advice. Profit margins, ad spend, and business decisions depend on your specific situation. Consult a licensed accountant or financial advisor before making material business decisions.

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