Benchmark Data by Segment
| Format / Segment | Benchmark | Context |
|---|---|---|
| SMB-targeted campaigns | 1.5–3× | Shorter cycle, lower ACV |
| Mid-market B2B | 2.5–5× | 90-day cycle typical |
| Enterprise B2B | 4–12× | High ACV, 180+ day cycle |
| SaaS (self-serve trial) | 2–4× | Trial → paid funnel |
| Professional Services | 2–5× | Project-based ACV |
| Financial Services B2B | 3–7× | Regulatory, longer sales |
| HR / Recruiting Tech | 2–4× | Seasonal variability |
Why LinkedIn ROAS Looks Lower Than It Is
Standard ROAS calculation (revenue ÷ ad spend) systematically undervalues LinkedIn for B2B. When a buyer sees your LinkedIn ad in January, downloads a whitepaper in February, joins a webinar in March, and signs a contract in April — LinkedIn gets zero last-click credit. Your CRM shows the deal closed from an email. LinkedIn's actual contribution is invisible in platform reporting.
For B2B LinkedIn campaigns, use Pipeline ROAS = pipeline created (from LinkedIn-influenced leads) ÷ LinkedIn spend × expected close rate. This accounts for the full funnel. A campaign with $10K spend that creates $200K in pipeline with 25% close rate produces 5× Pipeline ROAS — even if platform-reported ROAS is 0.
When to Pause LinkedIn Based on ROAS
Pause LinkedIn if: after 90 days, zero LinkedIn-influenced leads appear in your CRM pipeline; OR your blended ROAS across all channels drops while LinkedIn spend increases and you see no correlated pipeline growth. Don't pause based on platform ROAS alone — it's unreliable for B2B.
See also: ROAS comparison across platforms and LinkedIn Ads benchmark hub.
Frequently Asked Questions
What is a good ROAS for LinkedIn Ads?
2–5× is the typical range for B2B LinkedIn campaigns when ROAS is measured correctly against pipeline contribution. Enterprise campaigns with high ACV ($100K+) can reach 5–12× Pipeline ROAS. Platform-reported ROAS is almost always an undercount due to long sales cycles and multi-touch attribution gaps.
How do I calculate LinkedIn ROAS for B2B?
Use Pipeline ROAS: (Pipeline influenced by LinkedIn × expected close rate) ÷ LinkedIn spend. Set a 90–180 day attribution window in your CRM matching your typical sales cycle. Compare LinkedIn-sourced leads' ACV vs other channels — higher ACV from LinkedIn is common and should be factored in.
Should I expect LinkedIn ROAS to beat Google Ads?
Not necessarily — and comparing them directly is a category error. Google Search captures active purchase intent; LinkedIn creates and accelerates demand. A better question: does LinkedIn produce pipeline that wouldn't exist without it? If yes, and the unit economics work, the ROAS comparison to Google is irrelevant.