Paid Media

LinkedIn Ads vs Google Ads for B2B: Which Comes First?

LinkedIn targets people, Google captures intent. Which to start with depends on ACV, existing demand and how fast you need learning. A direct comparison with the maths.

Last updated: August 2026 Written by The FlairLytics editorial team Reviewed by The FlairLytics Editorial Team 8 min

Start with Google Ads if buyers already search for what you sell — it captures existing demand cheaply and produces learning fastest. Start with LinkedIn only when your category has little search demand and your ACV is high enough to absorb the highest cost per click in B2B.

The fundamental difference

Google sells intent. Someone types a query, which means they have already recognised a problem and started looking. You are competing for a buyer who is in motion.

LinkedIn sells identity. You choose exactly who sees the ad — title, seniority, company, industry, company size — regardless of whether they are currently thinking about your problem. You are interrupting someone precisely chosen.

Neither is better. They solve different problems, and the mistake is using one for the other’s job: running LinkedIn as a bottom-funnel conversion channel, or expecting Google to create awareness in a category nobody searches for.

Side by side

Dimension Google Ads LinkedIn Ads
What you buy Intent Identity
Targeting precision Query-based, no firmographics natively Title, seniority, company, industry, size
Relative cost per click Moderate Highest in B2B
Speed of learning Fast — weeks Slower — months
Works without existing demand No Yes
Best funnel position Bottom Top and middle
ACV threshold Works at most ACVs Rarely below ~$10k for direct response
Best creative type Text matching the query Content, thought leadership, video

The ACV maths on LinkedIn

This is arithmetic rather than opinion. Work backwards: if LinkedIn clicks cost meaningfully more than search clicks, and B2B landing page conversion sits in the low single digits, and lead-to-opportunity conversion is perhaps 15%, and opportunity-to-close is perhaps 25%, then the fully loaded cost per closed deal becomes visible quickly.

At a $5,000 ACV that number usually exceeds the deal value. At $50,000 it is comfortable. This is why LinkedIn direct response fails for low-ACV companies no matter how good the creative is — the channel is not underperforming, the maths never closed.

The exception is using LinkedIn for engagement rather than conversion: amplifying executive content, supporting ABM, building familiarity in named accounts. Those uses are judged on different metrics and can work at lower ACVs.

When to start with LinkedIn instead

Three situations justify LinkedIn first. Your category is new enough that buyers do not have a term to search for. Your addressable market is small and precisely definable, making identity targeting more efficient than waiting for queries. Or you are running ABM, where reaching named accounts is the entire point.

Outside those, Google first is the stronger default because the feedback loop is faster and the learning transfers.

What most teams should actually run

The common effective structure is Google on bottom-funnel and branded terms as the demand-capture layer, retargeting for efficiency, and LinkedIn amplifying content and supporting named accounts rather than chasing form fills.

That split plays to each channel’s strength: Google converts people already looking, LinkedIn builds familiarity among people who are not yet. Judging LinkedIn on cost per lead in that structure will make it look like a failure, which is why the measurement framework has to match the role you have assigned each channel.

The mistake both channels share

Neither platform can optimise toward opportunities unless you tell it what an opportunity looks like. Both default to optimising for the cheapest conversion event you have configured, which is usually a form fill.

Offline conversion import from your CRM changes this on both platforms and is the highest-return technical change available in B2B paid media. Without it you are paying two sophisticated auction systems to find you the people most willing to fill in forms.

Key takeaways

  • 01Google sells intent, LinkedIn sells identity. Using one for the other's job is the core mistake.
  • 02LinkedIn direct response below about $10,000 ACV fails on arithmetic, not on creative quality.
  • 03Start with LinkedIn only if your category has no search demand, your market is small and definable, or you are running ABM.
  • 04The common effective structure is Google for capture, LinkedIn for familiarity and amplification.
  • 05Offline conversion import is the highest-return technical change on both platforms.
FAQ

FAQs

Google Ads if buyers already search for what you sell, because it captures existing demand and produces learning in weeks rather than months. LinkedIn first only when your category has little search demand, your addressable market is small and precisely definable, or you are running an ABM programme.

Frequently because the arithmetic never closed rather than because the campaigns are poor. LinkedIn has the highest cost per click in B2B, and below roughly $10,000 ACV the fully loaded cost per closed deal typically exceeds the deal value. At higher ACVs the same campaigns become viable.

For engagement rather than conversion. Amplifying executive content, supporting ABM and building familiarity in named accounts are legitimate uses judged on reach and engagement rather than cost per lead. Judging those campaigns on form fills will always make them look like failures.

Offline conversion import from your CRM. Without it, both platforms optimise toward the cheapest conversion event configured, which is usually a form fill — so they find you the people most willing to fill in forms rather than the people most likely to buy.

FL
Reviewed by The FlairLytics Editorial Team
B2B revenue practice · a team with 15+ years, startups to enterprise

Figures and claims on this page are drawn from FlairLytics client engagements and verified platform documentation. Content is reviewed on a fixed cycle and updated when the underlying facts change.

Last updated: August 2026 · Next review: November 2026
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