ROAS Calculator
ROAS
3.50x
Net Profit
+$1450.00
How to use this ROAS calculator
- Enter your ad spend and the revenue it generated.
- Add your product's cost of goods (COGS) as a percentage.
- See your ROAS multiple and net profit instantly.
What is ROAS?
Return on Ad Spend measures revenue earned for every dollar spent on advertising. A ROAS of 3x means $3 in revenue for every $1 spent.
What's a "good" ROAS?
It depends heavily on your margins — a 4x ROAS might be very profitable for a high-margin product but break-even or a loss for a low-margin one, which is why this tool factors in COGS.
Is ROAS the same as ROI?
No — ROAS is revenue divided by ad spend, while ROI (Return on Investment) factors in all costs, not just advertising, to measure true profitability.
Why a single ROAS number alone can be misleading
A high ROAS doesn't automatically mean a campaign is profitable, and a lower ROAS doesn't automatically mean it's losing money — everything depends on the product's margin. A 3x ROAS on a product with 80% gross margin leaves a lot of room for profit after ad spend, while the same 3x ROAS on a product with 20% margin can actually lose money once the cost of goods is subtracted. This is exactly why COGS matters as much as the ROAS multiple itself, and why comparing raw ROAS numbers across different products or businesses without knowing their margins doesn't tell you much.
The break-even ROAS formula
Every product has a specific ROAS below which it loses money, calculated as 1 divided by the gross margin percentage. A product with a 40% margin (60% COGS) breaks even at a 2.5x ROAS (1 / 0.40); a product with a 25% margin needs a 4x ROAS just to break even. Knowing this number before running a campaign turns ROAS from an abstract "higher is better" metric into a concrete profitability threshold — any campaign performing below your product's specific break-even ROAS is actively losing money on advertising, regardless of how respectable the multiple might look in isolation.
ROAS vs. ROI vs. MER
These three metrics are related but answer different questions, and mixing them up leads to real strategic mistakes. ROAS measures revenue generated per dollar of ad spend on a specific campaign or channel. ROI (Return on Investment) is broader, factoring in all costs associated with a sale — not just ad spend, but COGS, shipping, payment processing, and overhead — to measure true profit relative to total investment. MER (Marketing Efficiency Ratio, sometimes called blended ROAS) divides total revenue by total marketing spend across every channel combined, which matters because individual-channel ROAS numbers can look great in isolation while ignoring overlap — a customer might see ads on three platforms before converting, and each platform's own reporting may take credit for the same sale.
Common mistakes reading ROAS reports
Attribution windows are a frequent source of misleading numbers: a platform reporting ROAS based on a 7-day or 28-day click-through window will often show a higher ROAS than one measured over a shorter window, simply because it's counting purchases that happened well after the ad click, some of which may have happened anyway without that specific ad's influence. Platform-reported ROAS also tends to run higher than a business's actual blended ROAS (measured against total revenue and total ad spend across all channels), since individual platforms use generous attribution models that can double-count the same conversion across multiple ad platforms a customer was exposed to.
Limitations of this calculator
This tool calculates ROAS and net profit from ad spend, revenue, and a single COGS percentage — it's a simplified per-campaign snapshot, not a full profitability model. It doesn't account for shipping costs, payment processing fees, return and refund rates, or fixed overhead, all of which reduce actual profit below what this calculator shows. It also treats each transaction in isolation rather than accounting for customer lifetime value — a campaign that looks unprofitable on a single purchase's ROAS can still be a good investment if a meaningful share of those customers make repeat purchases later, which this snapshot calculation has no way to capture.