Skip to content

Glossary

Break-even ROAS

By CartKernel · Last reviewed

Definition

Break-even ROAS is the return on ad spend at which an advertised sale covers its own product cost, fulfilment cost and advertising cost with nothing left over. It is worked out from margin: divide one by the share of revenue the store keeps on each sale, and the result is the ROAS a campaign must reach before it contributes any profit. Every ROAS target a store sets should sit above this line.

Formula

Break-even ROAS = 1 ÷ (Contribution margin ÷ Revenue)

Contribution margin
Revenue from an order minus every cost the order itself causes: product, packaging, shipping the store pays, payment fees and a returns allowance, before ad cost
Revenue
Selling price of the order net of discounts, before any ad cost is applied

Two products from the same catalogue

Product A selling price
$80
Product A cost of goods, shipping and fees
$32
Product A margin kept
$48, or 0.60 of revenue
Product A break-even ROAS
1 ÷ 0.60 = 1.67
Product B selling price
$80
Product B cost of goods, shipping and fees
$60
Product B margin kept
$20, or 0.25 of revenue
Product B break-even ROAS
1 ÷ 0.25 = 4.0

Illustrative figures. Both products sell for the same price, yet one starts contributing profit at a ROAS just above 1.7 while the other loses money until it clears 4.0. A single account-wide ROAS target would either starve product A or bleed on product B.

Why it matters

Break-even ROAS matters because it turns a platform ratio into a business decision. Without it, a target ROAS is a guess borrowed from someone else's store. With it, the store knows the exact point at which a campaign, a product group or a whole channel switches from costing money to making it. It also exposes the products that should never be advertised on their own: anything whose break-even ROAS is above what the category can realistically deliver needs a bundle, a higher price or a repeat-purchase case before it earns ad budget. And because margins differ across a catalogue, computing the figure per product group is what allows different ROAS targets to be set with confidence instead of by feel.

Where it goes wrong

  • Using gross margin on product cost alone: shipping subsidies, payment fees, packaging and the expected return rate all come out of the same sale, and leaving them out puts the break-even line too low
  • Setting the target exactly at break-even: a campaign that hits its break-even ROAS has paid for the ads and nothing else, so the working target needs headroom for overhead and profit
  • Applying one figure to a mixed catalogue: margins vary by product, supplier and price point, and an average hides the SKUs that lose money on every advertised sale
  • Forgetting the discount: a promotion that takes 20 percent off the price raises the break-even ROAS for that period, and a target set before the sale is suddenly too low

Questions about break-even ROAS

How do I find the margin rate to use in the break-even ROAS formula?

Start from the selling price, subtract cost of goods, inbound freight allocated per unit, outbound shipping the store pays, packaging, payment processing and an allowance for returns. Divide what remains by the selling price. That share, expressed as a decimal, is the figure to put in the formula. Recalculate it whenever supplier prices, carrier rates or discounting changes.

Can break-even ROAS be lower than 1?

No. A ROAS of 1 means attributed revenue equals ad spend, and since some of every sale goes to product and fulfilment costs, the break-even point is always above 1. The higher the share of revenue eaten by those costs, the further above 1 it sits.

Does break-even ROAS account for repeat customers?

Not on its own. It looks at a single sale. A store with strong repeat purchasing can justify running acquisition campaigns below the single-order break-even, provided the later orders arrive without further ad cost. That judgment belongs to CAC payback and lifetime value, which build on break-even ROAS rather than replace it.

Find the leak.

A free Growth Analysis ranks what your store should fix first, by revenue at stake.