Formula
ROAS = revenue attributed to ads divided by ad spend. Gross profit after ad spend = attributed revenue times gross margin, minus ad spend.
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Calculate return on ad spend and gross profit after ad spend, then connect the math to landing-page trust fixes before increasing paid media budget.
ROAS = revenue attributed to ads divided by ad spend. Gross profit after ad spend = attributed revenue times gross margin, minus ad spend.
Use monthly ad spend, attributed revenue, and gross margin. For lead-gen funnels, use qualified pipeline only if the value is consistently tracked.
A campaign can show positive ROAS and still lose money after fulfillment cost. Pair the calculator with proof, offer, and CTA fixes before scaling spend.
A store spends $8,000 and attributes $24,000 in sales at 55% gross margin. ROAS is 3.0x, gross profit is $13,200, and profit after ad spend is $5,200 before overhead.
Decision: scale carefully, but check reviews, shipping clarity, return policy, and checkout friction first.
A SaaS team spends $5,000 and attributes $11,000 in first-year revenue at 80% gross margin. ROAS is 2.2x, but the result depends on retention and whether trial users become paying customers.
Decision: pair ROAS with LTV:CAC and trust score before raising budget.
| Gross Margin | Approx. Break-Even ROAS | What It Means |
|---|---|---|
| 80% | 1.25x | Every ad dollar needs about $1.25 in revenue before overhead and refunds. |
| 60% | 1.67x | Lower margin means a campaign can look healthy but leave little profit. |
| 40% | 2.50x | Paid traffic needs stronger conversion, higher order value, or repeat purchases. |
Break-even ROAS is the return on ad spend needed to cover ad cost after gross margin. It is 1 divided by gross margin as a decimal.
ROAS can ignore fulfillment cost, refunds, discounts, delayed sales, weak attribution, and repeat purchase behavior. Always pair ROAS with gross margin and profit after ad spend.
Not automatically. Check whether the landing page has enough proof, CTA clarity, risk reversal, and conversion path quality before increasing spend.