Google Ads vs LinkedIn Ads for B2B: The Real Math

Google Ads vs LinkedIn Ads is the choice between buying intent and buying precision. Google Search sells access to people already looking for what you sell, at a $4.66 median CPC and a $66.69 median cost per lead across industries (WordStream/LocalIQ, 2024); LinkedIn sells the ability to put an offer in front of exactly the job titles, company sizes, and industries you name, at $5–8 CPCs and $75–150 B2B CPLs (Revealbot/Varos trackers and published agency datasets). Neither price tag settles the argument on its own. The size of the deals you close does.

What does each platform actually sell?

Google Ads is an intent auction. Someone types "warehouse management software pricing" and vendors bid to be the answer; the visitor arrives having asked the question themselves. That self-qualification is why lead-gen-weighted search accounts convert around 7% and why the median search CTR sits at 6.42% (WordStream/LocalIQ) — the ad answers something the user just asked. The trade-off is anonymity. You know precisely what they want and almost nothing about who they are: a student writing a term paper and a VP with signing authority type the same query.

LinkedIn inverts the deal. You target identity — title, seniority, company size, industry, named account lists — and interrupt a professional feed with something nobody was searching for. CTRs of roughly 0.4–0.6% price that interruption honestly. In exchange you get audience certainty Google cannot offer: every impression lands on someone who matches the buying committee you defined, months before they would ever type a query.

One platform harvests demand; the other manufactures it in front of the right people. Almost every argument in our marketing comparisons series reduces to a structural difference like this one, and here it drives everything downstream: pricing, measurement, and the order in which you fund the two channels.

How do the costs compare?

Read the medians as centers of wide distributions rather than quotes. Google's $4.66 CPC spans roughly $1.50 in ecommerce to $9+ in legal and home services, and competitive B2B software keywords price toward the expensive end. LinkedIn's range compresses because its auction is bounded by professional inventory, but Q4 budget flushes still swing social CPMs 30% or more in either direction.

Two more footnotes worth internalizing before you budget from that table. First, auction inflation is structural: CPCs on the major platforms climb roughly 10% per year (WordStream year-over-year studies), so a channel that barely pencils today drifts underwater on autopilot. Second, there is a quiet arbitrage one door over — Microsoft Ads prices 20–35% below Google for comparable queries and over-indexes on the desktop-bound professional demographic B2B wants anyway. Our free Paid Media Benchmarks report compiles the full channel-by-channel medians.

When does LinkedIn's premium pay for itself?

Comparing a $67 Google lead to a $150 LinkedIn lead is comparing different products. The Google lead raised its hand; the LinkedIn lead matched your ideal customer profile. The only fair comparison runs the whole chain, and cost per lead is just its first link.

A worked illustration with round numbers. LinkedIn delivers leads at $150; 20% convert to sales opportunities; 25% of those close. Cost per customer: $3,000. Google delivers leads at $67; 12% reach opportunity, because search leads skew earlier-stage and messier; the same 25% close. Cost per customer: $2,233. At $6,000 in contract value, both channels are on thin ice. At $30,000, both print money — and LinkedIn's tighter fit tends to lift opportunity rates further than this example assumes, because sales stops burning hours on leads that were never in your market. Below roughly $5,000, cold LinkedIn prospecting rarely survives the math; that is the job Meta's $20–60 B2B CPLs and search capture exist to do.

Notice how sensitive the conclusion is to the conversion assumptions: shift LinkedIn's lead-to-opportunity rate from 20% to 30% and its cost per customer drops to $2,000, beating Google outright. Which means the prerequisite for this whole comparison is CRM stage data you trust. The general principle holds everywhere: the price difference between channels is linear, while the quality difference compounds through every funnel stage. Run your own chain — CPL through opportunity rate to acquisition cost — in our free marketing metrics calculator, then pressure-test the output against the stage-by-stage funnel medians in our B2B SaaS benchmarks.

One scenario hands LinkedIn the win outright: when the searches you would love to capture do not exist yet. Category creators have nothing to bid on. The buying committee, however, exists on LinkedIn today, findable by title.

How do working teams layer the two?

Inside working accounts, the either-or framing dissolves into a division of labor:

• LinkedIn creates demand. Thought-leadership, case studies, and product narratives run against named accounts and ICP-matched cold audiences — measured on engagement depth and branded-search lift rather than same-week form fills.
• Google captures it. Branded, category, and competitor terms. When the LinkedIn layer works, branded search volume climbs within a quarter or two, and capture there is cheap: branded CTRs run 15–30%+ against the 6.42% cross-industry median.
• Retargeting bridges the gap. LinkedIn engagers flow into retargeting pools on every other channel, where impressions cost a fraction of LinkedIn's $30–35 CPMs.

Fund the layers in order of certainty. Max out capture first, because search volume is finite and it is the cheapest pipeline you will ever buy; put the next dollars into demand creation, sized to how long your cash cycle can wait for it to mature. Our B2B demand generation playbook maps the full architecture — audiences, offers, sequencing, and the measurement plan underneath it.

How should you measure a two-channel B2B system?

Lead counts flatter Google and starve LinkedIn, because the two channels produce leads at different funnel stages. Pipeline measurement keeps both honest:

• Cost per opportunity and pipeline dollars per channel, with CRM stages joined to campaign source rather than form-fill totals.
• CAC payback as the clock. B2B SaaS norms cluster at 12–18 months; a channel can look expensive per lead and cheap per payback month.
• Self-reported attribution. A simple "how did you hear about us" field catches LinkedIn influence a quarter before click-based models see it — and both dashboards will claim the same closed-won deal regardless. When the credit fight starts, multi-touch attribution vs media mix modeling explains which referee does which job.
• Clean plumbing underneath. B2B journeys are long and cross-device, and browser-side tags drop a meaningful share of them; GA4 vs server-side tracking covers what each collection layer can and cannot see.

The pipeline you buy still has to be nurtured into revenue — email vs SMS covers the cadence economics, and Klaviyo vs Mailchimp the platform question underneath them. And if you would rather have operators rebuild the CPL-to-CAC chain with you, that is the daily work of our paid media practice: budget splits driven by marginal payback, with the lead-count scoreboard retired.