Industry ROAS benchmarks for 2026: Ecommerce 4–7× (break-even ~2.5× at 40% margin), SaaS 3–6× (break-even ~1.3× at 75% margin), Finance 5–10×, Travel 4–8×, Lead Gen 3–6×, Healthcare 3–5×, Education 3–5×, Retail 3–6×. The benchmark that matters first is your own break-even ROAS (1 ÷ gross margin) — not the industry average. An ecommerce brand at 4× ROAS with 25% margins is losing money. A SaaS company at 2.5× ROAS with 70% margins is profitable.
ROAS Benchmark Table — All Industries
The table below shows typical ROAS, strong ROAS, approximate COGS ranges, and the resulting break-even ROAS for each industry. The break-even ROAS is the minimum required to cover cost of goods — anything above it generates profit; anything below it loses money even with revenue coming in.
| Industry | Typical ROAS | Strong ROAS | Approx COGS % | Break-Even ROAS | Notes |
|---|---|---|---|---|---|
| Ecommerce | 3–5× | 6–10× | 50–70% | 2.0–3.3× | High COGS compresses margins; shipping/returns add hidden costs |
| SaaS | 2–4× | 4–8× | 15–25% | 1.2–1.3× | Low COGS means low break-even; LTV model warrants lower ROAS targets |
| Finance | 3–6× | 8–15× | 20–35% | 1.3–1.5× | High LTV justifies lower short-term ROAS; regulated CPCs inflate costs |
| Travel | 4–8× | 10–20× | 60–75% | 2.5–4.0× | High-ticket transactions inflate ROAS; booking margins vary widely |
| Retail | 3–6× | 6–12× | 55–70% | 2.2–3.3× | Mix of online/offline; omnichannel attribution often undercounts ROAS |
| Automotive | 5–10× | 12–20× | 75–85% | 4.0–6.7× | Very high COGS; dealer margin thin; attribution to online ads is difficult |
| Education | 2–4× | 5–8× | 20–40% | 1.3–1.7× | Long consideration cycles; LTV from cohort enrollment matters more than ROAS |
| Gaming | 2–5× | 6–12× | 25–45% | 1.3–1.8× | IAP and subscriptions create LTV tail; Day-7/Day-30 ROAS used over campaign ROAS |
| Mobile Apps | 1.5–3× | 4–7× | 20–35% | 1.2–1.5× | Targets D7/D30 ROAS, not D0; acquisition cost high vs initial conversion value |
| Healthcare | 3–6× | 7–14× | 30–50% | 1.4–2.0× | Heavy regulation; high CPM and CPC; attribution limited by HIPAA/privacy |
Break-Even ROAS = 1 ÷ (1 − COGS%). A business with 60% COGS breaks even at 1 ÷ (1 − 0.60) = 2.5×. Every dollar of ROAS above that number contributes to gross profit. Use our ROAS calculator to enter your exact COGS and see your personal break-even threshold.
ROAS Range by Industry — Visual Comparison
The chart below shows the typical-to-strong ROAS range for each industry. The orange marker indicates the approximate break-even threshold — campaigns to the right of it are profitable, campaigns to the left are losing money even with positive ROAS.
Why ROAS Varies So Much Between Industries
ROAS is a ratio — revenue divided by ad spend — so the same ROAS number means something completely different depending on your cost structure. The single biggest driver is COGS (cost of goods sold), which determines how much margin is left after the product or service is delivered.
The COGS connection: why it changes everything
Consider these three businesses, all running at a 4× ROAS:
The same 4× ROAS is wildly profitable for one business and unsustainable for another. This is why comparing your ROAS to an industry-average number without checking COGS can lead to very wrong conclusions.
LTV changes the calculation for subscription and SaaS businesses
For subscription products, apps, and SaaS, first-purchase ROAS is often deliberately low because the business is acquiring customers for their lifetime value, not their first transaction. A mobile game that spends $20 to acquire a user who generates $5 on Day 0 has a 0.25× "ROAS" on the acquisition campaign — but if that user generates $40 over 12 months, the true ROAS is 2×. This is why mobile app marketers track D7 and D30 ROAS (revenue 7 and 30 days after install) rather than immediate conversion value.
High-ticket verticals inflate the ROAS number without improving profitability
Automotive and travel show high typical ROAS figures (5–20×) because individual transactions are large. A single car sale or luxury hotel booking generates substantial revenue per ad click. But dealer margins in automotive are razor-thin (2–5% net), so even a 10× ROAS might represent a modest absolute profit. Always think about gross profit generated per dollar of ad spend, not just the ROAS multiple.
Start from your margin requirements, not from industry averages. Calculate your break-even ROAS (1 ÷ (1 − COGS%)), then set a target ROAS that delivers the gross profit margin your business needs to cover operating expenses and reinvest for growth. For most businesses, a target ROAS of 2–3× the break-even threshold is a healthy starting point.
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Research keywords & competitors with Mangools →ROAS Benchmarks by Sub-Segment — Going Deeper Than Industry Averages
Industry-level averages mask significant variation within each vertical. These sub-segment benchmarks reflect the range you should expect based on product type and channel mix:
| Industry | Sub-Segment | Avg. ROAS | Key Driver |
|---|---|---|---|
| Ecommerce | Fashion / Apparel | 3.8–5.5× | High SKU count; strong Meta retargeting |
| Beauty / Cosmetics | 4.5–7.0× | High repeat purchase; strong TikTok | |
| Electronics | 2.8–4.5× | Lower margin; high competition | |
| Finance | Insurance | 5.0–8.0× | High LTV; Google Search dominant |
| Mortgages | 4.0–7.0× | Highest CPC but highest LTV | |
| Neo-banking | 6.0–9.0× | App acquisition; Meta strong | |
| SaaS | Enterprise B2B | 2.0–3.5× | Long cycle; LTV measured in years |
| SMB self-serve | 4.0–6.0× | Faster conversion; Google + Meta | |
| B2C productivity | 4.5–7.0× | App install + freemium conversion | |
| Travel | Airlines (direct) | 4.5–7.0× | Strong Google; brand protection key |
| Hotels (independent) | 3.5–5.5× | OTA competition; direct booking incentive | |
| Healthcare | Dental / Elective | 5.0–8.0× | High procedure LTV; Google Search |
| Telehealth | 4.0–6.5× | Subscription model; Meta works well |
The 5 Most Common ROAS Mistakes by Industry
These are the patterns that consistently cause advertisers to misread their ROAS performance — and make the wrong decisions as a result:
| Industry | Common Mistake | The Fix |
|---|---|---|
| Ecommerce | Setting a single ROAS target across all products regardless of margin | Set ROAS targets by margin tier — high-margin products can accept lower ROAS; low-margin needs higher ROAS to break even |
| SaaS | Evaluating ROAS on trial signups without tracking trial-to-paid conversion | Calculate ROAS on paid customers only; a 10× free trial ROAS that converts at 5% is a 0.5× paying customer ROAS |
| Finance | Comparing ROAS across Google and Meta without accounting for attribution overlap | Use a data-driven attribution model and track total business ROAS (total revenue ÷ total spend) as primary metric |
| Travel | Measuring ROAS on booking revenue instead of net commission/margin | A flight booking generating $400 revenue at 2% margin is $8 actual profit — ROAS must be calculated on the profit figure |
| Legal | Measuring cost-per-lead without tracking lead-to-case close rate | A $50 lead with 1% close rate and $25K case value = $5,000 per case / $50K ad spend. Real ROAS = revenue from closed cases ÷ ad spend |
Related: ROAS Calculator | What Is a Good ROAS? | Average ROAS by Platform | CPA vs ROAS — Which to Optimise? | How to Improve ROAS
The Industry ROAS Trap — Why Same-Vertical Comparisons Still Mislead
Industry ROAS benchmarks create a specific cognitive trap: they make it appear that businesses in the same vertical should have similar ROAS targets. They shouldn't — because the variable that determines your ROAS target is gross margin, not industry category. Two ecommerce businesses in fashion can have grossly different ROAS targets if one sources at 25% margin and one at 55% margin.
The fashion industry ROAS average of 4.2× reflects the blended economics of every margin structure in the space. A vertically integrated DTC brand at 65% gross margin has a break-even ROAS of 1.54×. A reseller at 20% margin has a break-even ROAS of 5.0×. The industry average sits at 4.2× — below the reseller's break-even and well above the DTC brand's. Using 4.2× as a target for either business is wrong in opposite directions.
The correct use of industry ROAS benchmarks: as a comparability signal. If your fashion ecommerce ROAS is 1.8× and the industry average is 4.2×, something is likely structurally wrong — either margins are very thin, attribution is inflated, or the campaigns are underperforming. The benchmark flags the anomaly for investigation. It doesn't tell you what your target should be. That requires your own margin calculation.
The secondary use: understanding why some industries have higher benchmarks than others. Legal services at 3.8× average ROAS is not "better" at advertising than SaaS at 2.8×. Legal has higher ROAS because conversion values (case fees) are high relative to ad spend. SaaS has lower ROAS because new customer revenue is recognized over months of subscription rather than in a single transaction that the platform can attribute. The ROAS difference reflects business model economics, not campaign quality.
Industry ROAS Compression: The same distortion as Benchmark Compression Problem applied specifically to ROAS by industry: blending businesses with fundamentally different margin structures, attribution setups, and business models into a single average ROAS figure. Legal and SaaS have different average ROAS not because one is more advertising-efficient, but because their conversion value, attribution visibility, and return-on-spend economics differ structurally. Industry ROAS benchmarks are most useful for gross anomaly detection and least useful for target-setting.
Benchmark Compression Problem: Industry ROAS averages aggregate businesses with 15% margins and businesses with 70% margins into a single number. Because break-even ROAS = 1 ÷ gross margin, the same reported ROAS is simultaneously profitable for one operator and catastrophic for another in the same vertical. The average describes no individual business accurately.
Why Industry ROAS Benchmarks Are Both Essential and Misleading
Industry benchmarks are the right starting point and the wrong finishing point. Understanding where each breaks down is as important as knowing the number.
Industry averages blend structurally different business models. "Ecommerce 4–7× ROAS" includes a luxury fashion brand with 70% margins running brand awareness campaigns alongside a consumer electronics reseller at 8% margins running pure direct response. These businesses need completely different ROAS targets to be profitable. Using the same benchmark for both produces systematically wrong conclusions for both.
Blended ROAS hides campaign mix problems. A business reporting 5× ROAS might be running Google Search branded terms at 20×, Google Search non-branded at 5×, Meta prospecting at 2.5×, and Meta retargeting at 9×. The blended number looks healthy. The underlying structure shows prospecting is barely profitable and the business is depending on branded demand to sustain its ROAS. This is a growth ceiling problem disguised as a performance metric.
Seasonal ROAS swings are often misread as trend changes. Most ecommerce accounts see ROAS drop 30–50% in Q1 versus Q4 — not because performance degraded, but because CPMs rise in Q4 (holiday competition) while the same audiences convert similarly year-round. Teams that cut budgets in Q1 because "ROAS dropped" are responding to an auction dynamic, not a campaign quality signal. Segment your ROAS analysis by quarter before drawing conclusions about trend direction.
New customer ROAS and returning customer ROAS tell different stories. Many accounts sustain healthy blended ROAS by over-indexing on retargeting and repeat purchasers — who would likely have bought anyway. The ROAS that predicts long-term business health is new customer acquisition ROAS from cold prospecting. If that number is below break-even while blended ROAS looks fine, the business is harvesting existing demand rather than building new pipeline.
Step 1: calculate your break-even ROAS from your actual gross margin. Step 2: set a target ROAS at 1.5–2× break-even to ensure profitable growth. Step 3: compare your new customer prospecting ROAS against that target — not blended ROAS against industry benchmarks. External benchmarks confirm you're in the right range. Your own unit economics define what "right" means for your business.
Methodology & Data Sources
Industry ROAS benchmarks are aggregated from managed campaign performance data, Google Ads industry benchmark reports, Meta Business insights, and published third-party studies from Wordstream, Nielsen, and platform-specific performance reports. Figures represent averages across well-managed campaigns — poorly optimized accounts significantly underperform these benchmarks. Sub-segment data reflects narrower sample sizes and carries wider confidence intervals.
Last updated: May 2026. View full methodology →
Frequently Asked Questions
What is a good ROAS?
There is no single "good ROAS" — it depends entirely on your COGS and business model. The only meaningful benchmark is whether your ROAS exceeds your break-even threshold (1 ÷ (1 − COGS%)). A 3× ROAS is excellent for a SaaS product with 20% COGS (break-even at 1.25×), catastrophic for a grocery business with 75% COGS (break-even at 4×). Across paid social and search, the industry average is roughly 2–4×, but use your own break-even as the floor — not the average.
Is 3× ROAS good?
It depends on your margin. For SaaS, software, or digital products with low COGS (15–25%), a 3× ROAS is comfortably profitable — you're generating 2× your break-even threshold. For physical goods ecommerce with 60% COGS, 3× is marginally profitable but leaves very little room for operating expenses. For grocery or food brands with 70–80% COGS, 3× ROAS means you're actively losing money on every sale. Calculate your personal break-even ROAS first using the tool above, then evaluate 3× against that number.
Why is SaaS ROAS typically lower than ecommerce?
Two reasons. First, SaaS has very low COGS (typically 15–25%), which means break-even ROAS is only 1.2–1.3×. A SaaS company doesn't need a 4× ROAS to be profitable — 2× is already strong. Second, SaaS businesses often use customer lifetime value (LTV) rather than first-year revenue to evaluate marketing efficiency. A user who pays $100/month for 24 months is worth $2,400, even if their first month generates only $100 in reported "revenue" against the acquisition cost. That LTV perspective justifies accepting lower reported ROAS targets than an ecommerce model would.
Why do ecommerce brands need higher ROAS than SaaS?
Because the cost of goods sold is fundamentally higher. Most physical product ecommerce businesses carry COGS of 40–70%, which means 40–70 cents of every revenue dollar is already spoken for before ad costs, shipping, returns, storage, and operations. A SaaS company delivering a software product has COGS of 15–25%, leaving far more margin to absorb ad spend. The math is simple: higher COGS → higher break-even ROAS → higher target ROAS required to generate actual profit. An apparel brand at 55% COGS needs to run 2.22× ROAS just to cover the product cost, before a single dollar of operating expense is accounted for.
How do I know if my ROAS benchmark is actually realistic for my business?
Start by calculating your break-even ROAS from your actual COGS. Then check whether your current ROAS is above or below that threshold. If you're above it, you have gross profit — the question is whether that gross profit covers your total operating costs. If you're below it, no amount of volume growth will make the unit economics work. Industry benchmarks are useful for context, but they can't substitute for your own numbers. Use the calculator above to find your floor, then use the full ROAS calculator to model what a profitable campaign actually needs to achieve at your margin level.