Calculate your Return on Ad Spend to measure campaign profitability. Get your ROAS ratio, net profit, breakeven ROAS, and optimization recommendations.
An e-commerce store runs a Facebook ad campaign with $5,000 total ad spend. The campaign generates $20,000 in revenue. The cost of goods sold is 40% of revenue.
ROAS Ratio: $20,000 รท $5,000 = 4.0:1
ROAS Percentage: ($20,000 โ $5,000) รท $5,000 ร 100 = 300%
Net Profit: $20,000 โ $5,000 โ ($20,000 ร 0.40) = $7,000
This is an excellent ROAS. For every $1 spent on ads, the business earns $4 in revenue and $1.40 in net profit after product costs.
A SaaS company runs Google Ads with $2,000 monthly ad spend, generating $6,000 in subscription revenue. The COGS (hosting, support, payment fees) is 25% of revenue.
ROAS Ratio: $6,000 รท $2,000 = 3.0:1
Net Profit: $6,000 โ $2,000 โ ($6,000 ร 0.25) = $2,500
Breakeven ROAS: 1 รท (1 โ 0.25) = 1.33:1
With a 3:1 ROAS and 1.33:1 breakeven, this campaign is profitable. The company has room to scale ad spend while maintaining profitability.
An Amazon seller launches a PPC campaign with $3,000 ad spend that brings in $4,500 in sales. COGS is 55% (including Amazon fees).
ROAS Ratio: $4,500 รท $3,000 = 1.5:1
Net Profit: $4,500 โ $3,000 โ ($4,500 ร 0.55) = -$975 (Loss)
Breakeven ROAS: 1 รท (1 โ 0.55) = 2.22:1
At 1.5:1, this campaign is below the breakeven ROAS of 2.22:1. The seller needs to optimize keywords, improve product listing conversion, or adjust pricing to become profitable.
A fashion brand runs a retargeting email campaign with $1,000 ad spend (email platform + audience targeting) that generates $8,000 in sales. COGS is 35%.
ROAS Ratio: $8,000 รท $1,000 = 8.0:1
Net Profit: $8,000 โ $1,000 โ ($8,000 ร 0.35) = $4,200
Email retargeting typically delivers higher ROAS because the audience is already warm. An 8:1 ROAS indicates a highly effective campaign with strong targeting and compelling offers.
Return on Ad Spend (ROAS) is a marketing metric that measures the amount of revenue generated for every dollar spent on advertising. It is one of the most important KPIs for evaluating the effectiveness of advertising campaigns and determining whether ad spend is generating a positive return.
An outstanding ROAS indicating highly efficient campaigns. Your ad spend is generating more than 4x revenue. Focus on scaling these campaigns while maintaining efficiency.
A solid ROAS that indicates healthy campaign performance. Your ads are generating strong returns. Look for optimization opportunities to push into the excellent range.
An average ROAS that may be profitable depending on your margins. Review your targeting, ad creative, and landing pages to improve performance.
A below-average ROAS that may not be sustainable. Check your breakeven ROAS โ if your actual ROAS is below it, you are losing money on each sale.
Return on Ad Spend (ROAS) is a marketing metric that measures the revenue generated for every dollar spent on advertising. It answers a fundamental question every advertiser faces: "For every dollar I spend on ads, how much revenue do I get back?"
ROAS is expressed as a ratio (e.g., 4:1 means $4 earned per $1 spent) or as a percentage (e.g., 300% means 3x return). It is the primary metric used by digital marketers, e-commerce businesses, and advertising professionals to evaluate campaign performance and make data-driven budget allocation decisions.
Unlike ROI (Return on Investment), which considers all costs including overhead, ROAS focuses specifically on the relationship between ad spend and revenue. This makes it a more targeted metric for evaluating advertising effectiveness. However, ROAS alone can be misleading โ a high ROAS doesn't necessarily mean a campaign is profitable if your margins are thin. That's why this calculator also computes net profit and breakeven ROAS to give you the complete picture.
ROAS is not just a number โ it's a decision-making framework that guides several critical advertising choices. Here's how to apply it effectively:
Use ROAS to determine which channels, campaigns, and ad sets deserve more budget. A campaign with a 5:1 ROAS is clearly outperforming one with a 2:1 ROAS. Shift budget from underperforming campaigns to high-performing ones, but be mindful of diminishing returns โ as you scale a successful campaign, ROAS often decreases due to audience saturation.
When ROAS is below your target, investigate the factors dragging it down. Common issues include poor audience targeting, unappealing ad creative, ineffective landing pages, high product prices, or weak calls-to-action. Test one variable at a time (A/B testing) to identify what improves ROAS most effectively.
Your product margins directly impact your required ROAS. A low-margin business (high COGS) needs a higher ROAS to be profitable, while a high-margin business can survive with lower ROAS. Use the breakeven ROAS calculation to understand the minimum performance your ads need to achieve for your specific product margins.
Calculate ROAS separately for each advertising channel (Facebook, Google, TikTok, Email, etc.). Different channels have different benchmarks and optimal ROAS targets based on audience intent and platform dynamics.
ROAS can vary by season, day of week, and time of day. Analyze ROAS over sufficient time periods (30-90 days) to account for fluctuations and the full customer journey, especially for longer sales cycles.
Different attribution models (first-click, last-click, linear, time-decay) can produce very different ROAS numbers. Choose a model that reflects your actual customer journey and use it consistently for comparison.
Industry benchmarks vary widely. E-commerce typically targets 4:1 ROAS, while B2B may accept 2:1 due to higher customer lifetime value. Base your targets on your industry, margins, and business model.
โ ๏ธ Important Note: This ROAS Calculator is for educational and informational purposes only. While every effort has been made to ensure accuracy, results should be verified independently for critical advertising decisions. ROAS calculations depend on accurate attribution of revenue to advertising campaigns, which can vary based on tracking setup, attribution models, and data quality. Always consult a qualified marketing professional or financial advisor for major advertising investment decisions.