B2B PPC: Google Ads vs. LinkedIn, and Where to Put Your Budget

B2B PPC budget should generally favor Google Ads for volume and LinkedIn for precision, not one platform exclusively — LinkedIn’s cost per lead runs as high as $408 on average versus Google’s $8-15, but LinkedIn converts at 2-3.5% for B2B against a much lower rate on broader platforms, and delivers 121% ROAS compared to Google Search’s 67%. Higher cost per lead and higher return on ad spend aren’t a contradiction; they’re two different parts of the same story about who’s actually seeing the ad.

The mistake we see most often in B2B budget planning is treating these two numbers as if they should be reconciled into one composite “which platform is better” verdict. They shouldn’t be — a marketer evaluating platforms on cost per lead alone will always favor Google, and a marketer evaluating purely on deal quality will often favor LinkedIn, and both are measuring something real but incomplete. The actual planning question isn’t “which platform wins,” it’s “what job is each platform doing in the funnel, and is the spend on each proportionate to that job’s value” — a framing that survives contact with real campaign data far better than a single blended metric ever does.

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The Cost Comparison, Visualized

Read this carefully: LinkedIn’s dramatically higher cost per lead paired with a higher ROAS than Google Search tells you the leads it generates are worth substantially more per conversion, not that LinkedIn is simply “better.” The two numbers only make sense together — a channel that’s both more expensive and more profitable per lead is a channel generating higher-value opportunities, typically because its targeting reaches decision-makers with real budget authority rather than the broader mix of searchers Google captures.

A Practical Budget Split

Why Attribution Is Even Messier for B2B Than for Local Business

A B2B buying decision routinely involves 5 to 8 stakeholders and a sales cycle stretching weeks or months, which means the platform that gets last-click credit is rarely the one that actually did the persuading. Someone sees a LinkedIn ad, forgets about it, later searches the company name directly, fills out a form — Google gets credited with a “branded search” conversion that LinkedIn’s awareness spend actually created. Last-click attribution systematically undervalues LinkedIn in this pattern, which is exactly why judging LinkedIn purely on its cost-per-lead number, without accounting for its role earlier in a longer funnel, leads a lot of B2B marketers to defund the channel that was quietly doing real work.

The Targeting Precision That Justifies LinkedIn’s Premium

LinkedIn’s CPC runs 2 to 3 times higher than Google’s, and its CPM sits around $28-33, well above most other platforms — but the targeting available (specific job titles, seniority levels, company size, industry, even named account lists for account-based marketing) has no real equivalent on Google, where you’re targeting search intent rather than a specific professional identity. For a product genuinely sold to, say, “VP of Operations at manufacturing companies with 200+ employees,” LinkedIn can put an ad in front of exactly that audience; Google can only capture whoever happens to type a relevant search, regardless of whether they’re actually the buyer or an unrelated researcher.

Account-Based Marketing: Where LinkedIn’s Precision Really Pays Off

For a business selling a high-value product to a genuinely finite list of target accounts — say, 200 named enterprise companies you’d realistically want as clients — LinkedIn’s matched-audience targeting lets you upload that exact company list and show ads only to relevant job titles within those specific organizations. This is a fundamentally different exercise from broad demand generation, and it’s where the cost-per-lead framing stops being the right way to evaluate the spend at all. You’re not trying to generate the cheapest leads possible; you’re trying to stay visible to a small, specific set of decision-makers across the months it takes them to move through a genuinely complex purchase decision. Judged against that goal, a $400+ cost per lead on a handful of the right accounts can be a bargain compared to the alternative of not being in front of them at all when the buying committee starts its evaluation.

We’d flag one practical trap here: account-based campaigns need genuinely tight list curation to work. A target list padded with companies that don’t actually fit your ideal customer profile dilutes the whole exercise, spending premium LinkedIn rates against accounts that were never going to buy regardless of ad exposure. The account list deserves as much rigor as the ad creative itself, and in our experience gets noticeably less.

The Content That Actually Performs on Each Platform

Google Ads for B2B performs best with direct, specific ad copy tied tightly to search intent — a pricing page ad for a pricing-intent search, a comparison page for a “versus” search — because the searcher has already told you what they want by typing the query. LinkedIn works almost the opposite way: ads that read like a direct sales pitch tend to underperform relative to ads built around a genuine insight, a data point, or a case study result, because the LinkedIn audience hasn’t self-selected the way a searcher has, and needs to be interested before they’re sold to. An identical hard-sell message copied across both platforms will typically underperform a message tailored to how each one actually gets used.

When LinkedIn Isn’t Worth the Premium

Not every B2B product justifies LinkedIn’s cost. Lower-priced, self-serve software with a short, low-touch sales cycle and a broad buyer base (a small business accounting tool, say, rather than enterprise ERP software) often doesn’t need LinkedIn’s precision targeting, since the buyer pool is wide enough that Google’s broader reach and lower cost per click work perfectly well without it. We’d reserve LinkedIn’s premium specifically for products where the buyer is genuinely narrow and identifiable by professional attributes — the more precisely you can describe your ideal customer’s job title and company profile, the more LinkedIn’s cost premium is justified; the vaguer that description gets, the less it is.

If you’re weighing PPC agency selection more broadly rather than the platform-specific budget question, that’s covered in our guide to choosing a PPC agency.

Retargeting: The Underused Bridge Between the Two Platforms

One of the more consistently underused tactics we see in B2B accounts: retargeting Google Ads website visitors with LinkedIn ads, and vice versa. Someone who clicked a Google search ad, browsed the site, and left without converting is a warmer prospect than a cold LinkedIn audience — retargeting them there with a case study or a more specific offer costs less than acquiring an equivalent cold lead and converts meaningfully better, because you’re re-engaging someone who already demonstrated real interest rather than starting from zero. The reverse works too: LinkedIn engagement audiences (people who interacted with your content or company page) can be retargeted with Google search ads when they later search for a relevant term, closing the loop between the two platforms’ different strengths rather than running them as entirely separate campaigns that never talk to each other.

A Worked Example: A Mid-Size B2B Software Company

Consider a Swiss B2B software company selling a mid-market product, roughly CHF 15,000 monthly ad budget, moderate brand recognition in its category. A reasonable starting allocation: CHF 8,000 to LinkedIn, focused on job-title and company-size targeting for the specific buyer persona, paired with content built around a genuine customer result rather than product features. CHF 5,000 to Google Ads, concentrated on high-intent terms — the product category plus “software,” pricing-related searches, and named competitor comparison terms. CHF 2,000 held for retargeting across both platforms, catching the warm audience that engaged with either channel but didn’t convert on the first exposure.

The expected pattern over the first quarter: LinkedIn generates fewer, more expensive leads that skew toward larger, better-fit companies; Google generates a higher volume of cheaper leads with a wider quality spread, some excellent and some clearly unqualified. Judging either channel purely on lead volume or purely on cost per lead, in isolation, would lead to defunding one or the other prematurely — the actual decision should wait for enough data to compare cost per qualified opportunity, not just cost per raw lead, across a full sales cycle rather than the first few weeks.

Swiss B2B Buyers: A Slightly Different LinkedIn Calculation

Switzerland’s B2B LinkedIn audience skews smaller and more concentrated than in larger markets — fewer total decision-makers per industry category means audience saturation happens faster, and a campaign targeting, say, “CFOs at Swiss manufacturing companies with 100+ employees” may exhaust its addressable audience within weeks rather than months, unlike an equivalent campaign in a market ten times the size. This changes the practical cadence of LinkedIn campaigns for Swiss B2B advertisers: creative needs refreshing more frequently to avoid ad fatigue within a smaller pool, and a genuinely narrow target list benefits from rotating in adjacent job titles or company segments periodically rather than running one static audience indefinitely.

The multilingual dimension matters here too — a target list spanning German, French, and Italian-speaking Switzerland often performs better as three separate, language-matched campaigns rather than one campaign with translated variants, for the same reason multilingual content generally underperforms when it’s translated rather than written natively: professional register and phrasing that resonates with a German-speaking Zürich executive doesn’t always land the same way translated into French for a Geneva counterpart, even when the underlying offer is identical.

There’s a budget-efficiency argument for this beyond just message quality: three smaller, well-targeted regional campaigns generally produce more useful performance data per franc spent than one larger campaign with translated creative, because a poor result in a badly-translated French variant can drag down an otherwise strong campaign’s blended metrics, making it harder to tell whether the underlying targeting or the message itself is the actual problem.

Related Guides

• what Amazon seller advertising actually costs — real cost benchmarks for sellers advertising on Amazon.
• Google Ads versus Meta Ads ROI — a direct return comparison between the two ad platforms.

Frequently Asked Questions

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References

• Searchlab — Google Ads vs LinkedIn Ads (2026): Which Platform for B2B?
• Meet Lea — LinkedIn Ads Benchmarks 2026