ROAS calculator: break-even and contribution

Try the ROAS and contribution calculator ↗

Enter revenue, costs, and advertising spend from one cohort. The starting figures are illustrative; calculations stay in your browser.

Read the example behind the inputs ↗

Consider a synthetic order cohort with 1,000 in net revenue, 550 in cost of goods, 150 in other variable costs, and 200 in advertising. Use one currency for every input. Revenue ROAS is 5.00×. Gross profit is 450, so gross-profit return is 2.25×. Contribution before ads is 300, so contribution return is 1.50×. After advertising, 100 remains toward overhead and profit.

Now raise other variable costs to 300 while keeping sales and advertising unchanged. Revenue ROAS remains 5.00×, but contribution after advertising becomes −50. The same reported revenue efficiency produces a different commercial result. This is why shipping, returns, and fulfillment assumptions belong beside the media number.

Calculate break-even ROAS from the contribution margin ↗

When contribution before advertising is positive, break-even revenue ROAS equals net revenue divided by contribution before advertising. In the first example, that is 1,000 ÷ 300, or approximately 3.33×. Equivalently, it is one divided by the pre-ad contribution margin, expressed as a decimal.

This threshold assumes the same product mix and cost behavior as the inputs. If order value, fulfillment cost, discounts, or return rates change with scale, recalculate it. If the pre-ad contribution margin is zero or negative, no finite revenue ROAS reaches advertising break-even under those assumptions.

With zero advertising spend, return-on-spend ratios are undefined. A calculator should show that condition explicitly rather than display infinity, zero, or a successful performance signal.

These are arithmetic comparisons, rounded to two decimals, not industry benchmarks. Margin here is (net revenue − cost of goods − other variable costs) ÷ net revenue. Fixed overhead is excluded.

Break-even is the floor, not the target ↗

In the illustrative 1,000-revenue cohort above, 300 remains before ads. To retain 150 toward overhead and profit, advertising can cost at most 150 under those assumptions. The implied revenue ROAS is 1,000 ÷ 150, or about 6.67×. At 200 in spend, the calculator instead leaves 100.

This is a cost ceiling for a stated revenue and cost scenario. It does not prove that reducing spend preserves sales, or that raising a platform ROAS target produces the modeled profit. Recheck marginal demand, returns, and inventory before changing a budget.

Define the numerator before comparing the return ↗

A dashboard label does not establish an accounting definition. For this guide, net revenue means revenue after discounts and refunds, excluding sales tax. Cost of goods sold is the cost assigned to those sold items. Other variable costs are incremental order costs not already counted in cost of goods, such as payment fees, pick-and-pack, or a shipping subsidy.

Google Ads supports conversion values based on measures including revenue or profit. Consequently, conversion value divided by cost can mean different things depending on the values supplied. Inspect the value definition before interpreting the ratio. A platform value is not automatically the business’s realized profit.

Source: Google Ads: About conversion values

Make the comparison cohort consistent ↗

Match the revenue, costs, and spend to a consistent time window and attribution basis. A platform-attributed sale, an order placed in the store, and settled net revenue are different records. If you combine them, describe the reconciliation rule and its limitations.

Keep return timing visible. A recent cohort may look healthier simply because its returns have not arrived. Use an observed mature cohort or label the return provision as an estimate, then reconcile it later. Avoid comparing an estimated net value in one period with an unreconciled gross value in another.

• State currency, reporting period, and attribution model alongside the output.
• Separate observed costs from estimated costs.
• Check whether shipping or fulfillment is already included in cost of goods before subtracting it again.
• Document which costs are excluded so contribution is not presented as net income.
• Reconcile modeled results with settled commercial records before increasing spend.

Use the metric to make a bounded decision ↗

Contribution return can help prioritize investigation, but it does not independently prove that advertising caused the revenue. An attributed return and an incremental return answer different questions. A budget decision still needs a view of incrementality, inventory, capacity, and the marginal cost of the next customer.

A useful decision memo includes the current cohort, the contribution assumptions, the proposed spend change, the inventory constraint, and the date to revisit the result. That is a more actionable artifact than announcing that a campaign has reached a universal good-ROAS number.