A 4.0x ROAS can be excellent for an 80%-margin SaaS firm and loss-making for a 20%-margin distributor. That is why most tables of ROAS benchmarks by industry are more confident than the underlying data deserves.
ROAS is attributed revenue divided by ad spend. A 4.0x result means £4 of revenue for every £1 spent, not £4 of profit. An industry range can tell you whether your result is unusual. It cannot tell you whether it is commercially good.
Our position for 2026: use the market benchmark as a diagnostic, but set the target from your own contribution economics.
ROAS benchmarks by industry: the honest 2026 view
There is no audited UK-wide dataset showing realised Google Ads revenue by B2B industry in 2026.
The latest broad public ROAS comparison we can verify compiles Varos medians from April 2025. It puts median Google Ads ROAS at 3.31x overall, but shows B2B SaaS at 1.29x, consulting at 2.05x and home improvement at 4.07x.
The newer 2026 WordStream search benchmark covers 13,474 US campaigns run from April 2025 to March 2026. It reports current CPC, conversion-rate and CPL medians, but not revenue ROAS. Business services recorded a $93.69 CPL; industrial and commercial campaigns recorded $75.19. Useful cost evidence, but not proof of return.
The ranges below are therefore planning bands, not measured UK market averages. We centred them on the available ROAS medians, then widened them to reflect different account mixes, revenue timing and 2026 search costs.
| B2B model or sector | Public median anchor | Useful 2026 comparison band |
|---|---|---|
| B2B SaaS | 1.29x | 1.0–3.0x |
| Consulting and professional services | 2.05x | 1.5–4.0x |
| Marketing and advertising agencies | 1.51x | 1.0–3.0x |
| Education and training | 2.58x | 2.0–4.5x |
| Insurance services | 3.22x | 2.5–5.0x |
| Healthcare and medical services | 1.30–2.09x | 1.0–3.0x |
| Home improvement and construction | 4.07x | 3.0–6.0x |
| B2B ecommerce and product distribution | 3.87–4.81x for selected product categories | 3.0–6.0x |
These bands answer one narrow question: “Is our result far outside what broadly comparable advertisers report?” They do not define success.
A mature 2.2x SaaS cohort may be healthy with high retention and low servicing costs. A distributor at 4.0x may be losing money after product cost, returns and sales commission. “Above average” and “profitable” are different tests.
Why the same industry ROAS benchmark produces opposite answers
Five variables can move a defensible target by several multiples.
Margin: a 25% pre-ad contribution margin needs 4.0x merely to break even. An 80% margin needs 1.25x.
Revenue window: first-year revenue, total contract value and customer lifetime value produce different ratios. Use one finance-approved basis and label it. Never compare your first-year figure with a peer’s lifetime figure.
Sales-cycle maturity: this month’s spend rarely creates this month’s B2B revenue. Compare mature acquisition cohorts or use an agreed lag; otherwise one large deal can make the monthly ratio meaningless.
Campaign mix: branded search, remarketing and existing-customer sales normally return more than non-brand acquisition. A blended account number dominated by people who already know the company is a poor new-business benchmark.
Scale: a 6.0x result from £2,000 of spend does not imply £20,000 will return 6.0x. The next tranche usually reaches weaker demand.
This article assumes the revenue input is trustworthy. If it is not, complete the ROAS tracking checklist before judging performance. Visible discrepancies belong in the separate cause-by-cause guide to fixing inaccurate ROAS data. Once the inputs are sound, use the commercial method for finding the real Google Ads return to keep platform value and business economics distinct.
Set your own ROAS benchmark from contribution
Start with the percentage of revenue left before advertising, after variable costs required to win and serve the customer. That is the pre-ad contribution margin.
Then calculate two thresholds:
```text Break-even ROAS = 1 ÷ pre-ad contribution margin
Target ROAS = 1 ÷ (pre-ad contribution margin − required post-ad contribution margin) ```
Use decimal percentages in the calculation. A 50% margin is 0.50.
| Pre-ad contribution margin | Break-even ROAS | Target retaining 15% of revenue after ads |
|---|---|---|
| 30% | 3.33x | 6.67x |
| 50% | 2.00x | 2.86x |
| 70% | 1.43x | 1.82x |
| 80% | 1.25x | 1.54x |
Break-even is not a sensible operating target. It leaves nothing for fixed salaries, rent, investment, tax or forecasting error. The second formula protects a chosen level of contribution after media spend.
Agree the revenue basis, period and threshold before ongoing Google Ads management or a fixed-scope Google Ads project begins. The person managing bids should not have to guess what margin the business can accept.
Worked example: a B2B target that beats the benchmark
A B2B software company has a 72% gross margin. Variable sales commission, onboarding and bad-debt allowance consume another 15% of revenue, leaving a 57% pre-ad contribution margin.
Leadership wants at least 20% of revenue left after advertising.
``text Allowable ad-spend share = 57% − 20% = 37% Target ROAS = 1 ÷ 0.37 = 2.70x Break-even ROAS = 1 ÷ 0.57 = 1.75x ``
The company spends £30,000 and creates 20 sales-qualified opportunities. Based on mature cohorts, 25% should close, producing five customers at £24,000 of first-year revenue each.
``text Expected revenue = 20 × 25% × £24,000 = £120,000 Expected ROAS = £120,000 ÷ £30,000 = 4.00x Pre-ad contribution = £120,000 × 57% = £68,400 Contribution after ads = £68,400 − £30,000 = £38,400 ``
The forecast clears the company’s 2.70x target and leaves 32% of revenue after ads. By contrast, matching the public B2B SaaS median of 1.29x would produce only £38,700 of revenue from the same spend and lose about £7,941 after variable costs and advertising.
That is why 1.29x is context, not permission.
Keep this result labelled “expected” until the cohort closes. During the wait, compare acquisition cost with B2B Google Ads cost-per-lead evidence and cost per qualified opportunity, rather than pretending open pipeline is realised ROAS.
Use industry benchmarks without damaging growth
Read the industry band and your company target together.
| Position | Commercial reading |
|---|---|
| Below the band and below your target | Both competitive and economic performance need attention |
| Below the band but above your target | Profitable, with plausible optimisation headroom |
| Above the band but below your target | Impressive-looking, but still unaffordable |
| Above the band and above your target | Strong; test additional spend in controlled increments |
Recalculate the company target when price, gross margin, sales commission, churn or delivery cost changes. Review the benchmark less often; quarterly is enough for most B2B teams.
When increasing spend, judge the extra revenue against the extra spend. An account can retain a strong average ROAS while its latest budget increase falls below the target. The historical average tells you what happened. Marginal ROAS tells you whether the next pound deserves approval.
FAQ
What is a good ROAS for Google Ads in 2026?
Across-industry public data clusters around 3x, but that is only orientation. A good ROAS exceeds the target calculated from your pre-ad contribution margin, uses a consistent revenue basis and holds as spend increases.
Is 4x ROAS good?
At a 25% pre-ad contribution margin, 4.0x is break-even before fixed costs. At a 60% margin, it leaves 35% of revenue after ads. The same ratio can therefore be poor or strong.
Should B2B companies use first-year revenue or lifetime value?
Report both separately if each supports a decision. First-year recognised or collected revenue is usually the cleaner operating basis. Lifetime value belongs in a longer-term acquisition view and needs credible retention and future servicing-cost assumptions.
How much data is needed before comparing ROAS?
Use a mature cohort with enough won deals that one sale cannot dominate the result. For a low-volume B2B account, that may mean a rolling six or twelve months rather than a monthly dashboard.
Summary
- The latest broad public median is 3.31x; useful B2B comparison bands span roughly 1x–6x.
- Industry ranges are diagnostic bands, not profitability targets.
- Set break-even ROAS as 1 ÷ pre-ad contribution margin.
- Protect profit with 1 ÷ (pre-ad margin − required post-ad margin).
- Compare mature cohorts, then use marginal ROAS when increasing spend.
Actualyse builds measurement and attribution setups that tie B2B ad spend to real revenue. Book a call to talk through where yours stands.
