People search for average ROAS by industry because they want one clean comparison point. The problem is that ROAS is not reported consistently across platforms, attribution windows, business models, or margin structures. A 4:1 result in Google Ads, a 4x result in Meta, and a 400% result in a spreadsheet can describe the same ratio, but they may not describe the same revenue reality.
The most defensible way to use ROAS benchmarks is to treat them as context, not targets. ROAS means attributed revenue divided by advertising spend. It does not include product cost, fulfillment, returns, payment fees, agency fees, overhead, or taxes unless you explicitly add those costs in a separate profitability model.
Quick Answer
There is no single reliable public “average ROAS by industry” table that applies across ecommerce, lead generation, SaaS, marketplaces, Google Ads, Meta Ads, TikTok, and analytics platforms. If a benchmark source does not clearly state the platform, year, attribution method, geography, sample size, and whether it measures revenue or profit, do not use it as a decision rule.
Use the ROAS Calculator to calculate the ratio, then compare it with your own break-even number using the Break-even ROAS Calculator. That pairing is more reliable than chasing a generic industry average.
How ROAS Should Be Defined
ROAS = attributed revenue / advertising spend.
ROAS percent = attributed revenue / advertising spend x 100.
Example: if a campaign spends $5,000 and reports $20,000 in attributed revenue, ROAS is 4x, 4:1, or 400%. Those are three ways of expressing the same revenue-to-ad-spend ratio.
Why Industry ROAS Averages Are Hard To Trust
Industry ROAS claims become risky when they blend incompatible datasets. One source might measure last-click revenue from Google Shopping. Another might include view-through conversions from Meta. Another might report blended ecommerce revenue across all paid channels. Those numbers should not be combined into a single “average” table.
Even within one platform, attribution settings matter. Google Ads and Google Analytics can assign conversion credit differently depending on conversion settings and attribution reporting. Meta’s website purchase ROAS depends on purchase value events recorded through Meta tracking. These are useful reporting systems, but they are not the same as audited business profit.
What Actually Changes By Industry
| Business type | What usually matters more than an average ROAS |
| Low-margin ecommerce | Gross margin, returns, shipping, discounts, and payment fees. |
| High-margin digital products | Incremental demand, refund rates, and customer quality. |
| Subscription/SaaS | Customer lifetime value, payback period, churn, and sales cycle length. |
| Lead generation | Lead-to-sale rate, close rate, average deal value, and offline revenue tracking. |
| Marketplaces | Marketplace fees, promoted listing costs, product mix, and fulfillment rules. |
| Local services | Booked-job value, capacity, geography, and call tracking quality. |
This is why an industry table can be directionally interesting and still be unsafe as a budget rule. Two advertisers in the same industry can need very different ROAS targets if one has 65% margin and the other has 25% margin.
The Better Benchmark: Break-even ROAS
Under a simplified margin model, break-even ROAS = 1 / margin fraction. If your contribution margin after direct variable costs is 40%, the simplified break-even ROAS is 1 / 0.40 = 2.5x. That means a 2.5x ROAS covers the direct costs included in that margin model, before any extra profit buffer.
This formula only works when the margin input is honest. If the margin excludes returns, payment fees, shipping subsidies, platform fees, or agency costs, the result is only a partial floor. Use it as a starting point, then add a buffer for costs that are outside the calculation.
How To Compare Your ROAS Responsibly
- Compare Google Ads ROAS with Google Ads data using the same conversion value settings.
- Compare Meta ROAS with Meta data using the same pixel/CAPI setup and attribution window.
- Separate new-customer ROAS from returning-customer ROAS where possible.
- Check blended revenue in your ecommerce or CRM backend before treating platform ROAS as final.
- Use break-even ROAS as the decision floor, not a generic industry average.
Sources and Methodology
This article intentionally does not preserve the previous unsourced industry-average ROAS table. The revised guidance uses official platform documentation for ROAS-related reporting concepts and uses arithmetic examples only where the formula is directly stated in the article.
