Dropshipping Break-Even ROAS Calculator

The underlying calculation

Break-even ROAS is 1 ÷ contribution margin, where contribution margin is (price − variable costs) ÷ price and variable costs include goods, shipping, payment fees and the refund provision.

It converts a margin fact into the units ad platforms report, which is why it is the most immediately useful number in the whole model.

Everything above break-even ROAS is profit; everything below it is loss, whatever the revenue figure says.

An example

The $29.99 product: variable costs of $9.00 goods, $1.17 fees and $2.10 refund provision total $12.27. Contribution is $17.72, a margin of 59%.

Break-even ROAS is 1 ÷ 0.59 = 1.69.

Now a lower-margin product at 45% contribution: break-even ROAS is 2.22. The same campaign performance that is comfortably profitable on the first product loses money on the second.

That is why ROAS targets borrowed from other sellers are meaningless. A 2.0 ROAS is good on one cost structure and ruinous on another, and only your own contribution margin says which.

The limitations

Reported ROAS uses attributed revenue, which on platforms with generous attribution windows includes conversions the advertising did not cause. Real ROAS is usually below reported ROAS, and the gap varies by platform.

It also ignores the fixed cost base entirely, so break-even ROAS is break-even on the campaign rather than on the business.

What this changes

Set a target ROAS at 1.3 to 1.5 times break-even to leave room for fixed costs, attribution optimism and profit. On this product that is roughly 2.2 to 2.5.

Then verify the reported figure against actual bank revenue over a month. Where the two diverge substantially, the campaign target has to be raised by the difference or the business will run at a loss while the dashboard reports success.

Blended ROAS and why it is the honest number

Blended ROAS is total revenue divided by total ad spend across all channels and campaigns, with no attribution logic involved. It cannot be inflated by attribution windows because it does not use them.

For a business whose traffic is almost entirely paid, which describes this model, blended ROAS is very close to the truth, and the gap between it and the platform-reported figure is a direct measure of how much the platform is over-claiming.

Tracking both and watching the gap is more informative than optimising either. A widening gap means attribution is claiming more while delivering the same, which is exactly the situation in which a campaign appears to improve while the bank account does not.

Break-even ROAS assumes the average order value in the calculation matches reality. Where upsells are working, the realised order value is higher and the true break-even ROAS is correspondingly lower.

Recalculating it from actual order data rather than from the product price is a small correction that frequently makes campaigns look better than the product-level figure suggested.

It is worth setting the target separately for prospecting and retargeting campaigns. Retargeting reaches people who have already engaged and reliably reports a much higher ROAS, and holding both to one target overfunds the easy audience and starves the one doing the acquisition.