ROAS Calculator – Return on Ad Spend
Calculate your return on ad spend (ROAS) to measure advertising profitability. Free ROAS calculator with net profit and margin analysis.
Last updated: 2026-03-09
Return on ad spend
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How ROAS Is Calculated
Return on Ad Spend (ROAS) measures the revenue generated for every dollar spent on advertising. It's one of the most important metrics for evaluating paid campaign performance.
ROAS = Revenue from Ads ÷ Ad Spend
A ROAS of 4x means you earn $4 for every $1 spent. Most businesses target a minimum ROAS of 3x–5x, though the ideal varies by industry and profit margins. A ROAS below 1x means you're losing money on the campaign.
ROAS differs from ROI in that it only considers ad spend, not total costs like product costs, fulfilment, or overheads. Use ROAS for campaign-level decisions and ROI for overall business profitability.
Frequently Asked Questions
What is a good ROAS?
A good ROAS varies by industry. E-commerce typically targets 4x–6x. A ROAS of 3x is generally the minimum for profitability, but businesses with high margins can be profitable at 2x. Anything below 1x means you're losing money.
What is the difference between ROAS and ROI?
ROAS measures revenue generated per dollar of ad spend. ROI measures total profit relative to total investment (including product costs, fulfilment, overheads). ROAS is campaign-specific; ROI is a broader business metric.
How do I improve my ROAS?
Focus on audience targeting refinement, ad creative testing, landing page optimisation, bid strategy adjustment, and cutting underperforming campaigns. Improving conversion rate and average order value also directly boost ROAS.
Should I use ROAS or CPA to evaluate campaigns?
Use both. ROAS shows how much revenue you get per ad dollar; CPA shows cost per customer. ROAS is better for revenue-focused goals, while CPA is better for customer acquisition goals. Together they give a complete view.
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Disclaimer
Results are estimates based on the revenue and ad spend figures you provide. Actual ROAS may vary depending on attribution models, return windows, and campaign-specific factors. This tool is for informational purposes only.
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