Start with Google Search when relevant commercial searches can support a focused campaign. Choose LinkedIn when professional and company criteria identify buyers more reliably, provided enough suitable people are reachable and the economics support a test. LinkedIn's expensive clicks can be justified, but targeting does not establish need, trust, budget, or readiness. Compare total acquisition costs per qualified opportunity and customer, allowing cohorts comparable time to reach a sale. Combine platforms when each has a defined role and you can track the same buyer without counting them twice.
Choose by the buying situation
A manufacturer buying automation equipment, a clinic evaluating a diagnostic system, and an owner choosing a tax adviser have different reasons to act. “B2B” is too broad to settle the channel decision.
| Your situation | A sensible starting point | What must be true |
|---|---|---|
| Buyers search for a supplier, replacement, product specification, or urgent problem | Google Search | Queries reveal a commercially relevant need and your page answers it |
| A few industries and professional roles fit, but buyers rarely name your solution in search | You can reach enough appropriate people and give them a reason to engage | |
| You have named target companies and several people influence each purchase | LinkedIn for account coverage, Search for active evaluation | Your audience is reachable and messages reflect different responsibilities |
| Buyers need to see a process or product before understanding its value | Video on YouTube or LinkedIn, chosen by audience | The demonstration explains a meaningful difference and leads to a suitable next step |
| Relevant search demand exists, but its volume is too small to support growth | Search plus a separately measured audience campaign | The second campaign adds qualified demand rather than merely claiming the same conversions |
| The audience is tiny, margins are thin, or follow-up is unreliable | Resolve that constraint before scaling either | You can afford the learning period and serve the resulting inquiries |
An industrial maintenance firm might begin with searches for a specific service and region. A contract manufacturer entering a new vertical might have a clearer list of suitable companies than a useful keyword pool. A professional-services firm can use Search for an immediate compliance problem and LinkedIn for an explanation that helps a finance director recognize a future need.
These are starting hypotheses. The evidence that changes them is specific: actual queries, reachable audience estimates, sales conversations, and the economics of qualified opportunities. An ideal customer profile helps define which companies are worth pursuing before you translate that decision into targeting settings.
What the cost evidence actually says
In one same-account comparison, LinkedIn looked twice as expensive as Google until the analyst separated campaign purposes.
Emily Wood examined May 2025 through May 2026 activity, including more than $700,000 in LinkedIn spend. The blended LinkedIn CPC was $11.12 versus $5.45 for Google. Comparing LinkedIn prospecting with nonbrand Google Search narrowed the figures to $13.94 and $12.48. The calculated premium fell from approximately 104% to 11.7%. About 97% of LinkedIn spend was B2B SaaS, and geography was not disclosed. Wood's analysis and methodology.
| Comparison within the same account sample | Google CPC | LinkedIn CPC | LinkedIn premium |
|---|---|---|---|
| Blended campaign mix | $5.45 | $11.12 | 104.0% |
| Nonbrand Search vs LinkedIn prospecting | $12.48 | $13.94 | 11.7% |
The second row is a closer acquisition comparison. It still does not make the audiences equally ready to buy. LinkedIn prospecting included lead generation, website conversions, and website visits, while excluding retargeting. A campaign objective describes what the advertiser wants, not what every person wants.
The useful conclusion is to separate brand Search, nonbrand Search, retargeting, and broader reach before judging a platform's price. A cheap Google account average can include people already searching for your company and inexpensive display clicks. It is a weak reference for reaching new purchasing teams.
The billing event and the comparison metric are different. LinkedIn uses an auction. Your optimization goal, bidding strategy, and format determine what you pay for. Depending on the setup, that may be impressions, chargeable clicks, or message sends. A chargeable engagement click is not necessarily a visit to your website. LinkedIn bidding guidance, chargeable engagement clicks.
CPM is spend per 1,000 impressions. CPC is spend divided by the specified click count. CPL is spend divided by the specified lead count. Define each denominator before comparing. For a video explanation, cost per view may describe delivery better than CPC, but qualified opportunities still determine its business value. Keep agency fees, production, landing pages, tools, and sales acquisition work outside the media benchmark and inside your total acquisition calculation.
For broader US context, LocaliQ's 2026 report covers 13,474 search campaigns on Google and Microsoft Ads, running April 1, 2025 through March 31, 2026. Its reported “averages” are medians. These are separate data, not the Google half of a LinkedIn comparison. LocaliQ / WordStream report.
| US search category | Median cost per click | Median cost per lead |
|---|---|---|
| All industries | $5.42 | $66.69 |
| Business Services | $5.87 | $93.69 |
| Industrial & Commercial | $5.87 | $75.19 |
| Education & Instruction | $4.81 | $77.48 |
| Real Estate | $3.22 | $102.51 |
These categories are broad. Industrial & Commercial is not a benchmark for one type of medical device, and Real Estate does not isolate luxury buyers. Tracked conversions also vary between advertisers. Use the figures to challenge an assumption or investigate an outlier, then forecast from your own offer and qualification rates.
How precisely can you reach people and companies?
Google Search: the need is visible, the buyer may not be
A search such as “cold chain logistics provider” describes a need more clearly than “operations director” does. It can still come from a student, competitor, existing customer, or buyer outside your service area. Query review, exclusions, location settings, and a page that makes eligibility clear remain part of the work.
Search can also reveal product knowledge. A lab manager looking for a particular instrument or analysis workflow needs a different response from someone learning the category. Avoid sending both to a generic homepage with one “Contact us” button.
Google's customer-data tools can help you reconnect with known audiences, subject to eligibility. Customer Match requires first-party data and compliant accounts. Direct Customer Match targeting requires 90 days of Google Ads history and more than $50,000 in lifetime spend under the current policy. Compliant accounts can use observation and exclusions without those additional thresholds. A Google audience list is not a native substitute for selecting job functions at named companies. Google Customer Match policy.
LinkedIn: professional context is visible, the need may not be
LinkedIn lets advertisers use company name, industry, company size, job title, function, seniority, education, and other professional attributes. Named-company lists and contact lists add ways to reach relevant organizations or existing contacts. Profile information and platform mappings underpin those selections, so a match is not independent verification of a person's current purchasing authority. LinkedIn targeting options.
For an automation supplier, that could mean reaching engineering and operations functions in suitable manufacturing companies. For corporate education, it could mean separating potential participants from people responsible for learning budgets. Those are proposed audience designs, not evidence of how any advertiser in this article targeted its ads.
Precision has three different limits:
- Eligibility. LinkedIn requires at least 300 members to run a campaign. A list with 300 uploaded contacts does not necessarily produce 300 eligible members after matching and filters.
- Reach. Your commercially relevant audience may be much smaller than your uploaded company list suggests. Some people will not match, be active, or meet the remaining criteria.
- Useful exposure. Even an eligible audience can become repetitive before producing enough qualified opportunities to judge the economics.
LinkedIn recommends 50,000 or more members for single-image and text ads and more than 15,000 for message ads to support scale. Those recommendations are not eligibility minimums. They also do not mean a narrow account campaign should include unsuitable people just to reach a number. Official audience guidance.
Company and contact uploads both require at least 300 rows, and serving depends on matched membership. LinkedIn recommends larger inputs, including 1,000 companies or 10,000 emails, because upload size and usable audience size differ. A contact list cannot be combined with member interests and traits. Company lists, contact lists.
For premium real estate, this distinction is particularly important. A senior job title can identify professional context. It cannot establish liquid wealth, financing capacity, preferred location, or an intention to buy a home. Search around a specific development or buying task can be more informative. LinkedIn needs a defensible professional connection to the offer, not an assumption that executives are affluent property buyers.
Buying committees need different explanations
An equipment purchase may involve the person using it, the technical evaluator, procurement, and the budget owner. Reaching several functions is useful only when the content answers their different questions.
The user may need a workflow demonstration. Engineering needs compatibility and performance evidence. Procurement needs delivery and service conditions. Finance needs the cost and consequences of delaying the purchase. Four copies of the same brand ad do not address those differences.
Map the actual buying process from sales records, then decide which participants advertising can reach and what they need to understand. A job-title list is a starting input to that work.
What nine real ads reveal about the offers
We reviewed nine public ad records captured on November 7, 2026, across industrial automation, cybersecurity, logistics, laboratory technology, and executive education. The comparisons below concern visible messages and next steps. They do not establish performance, exact audience selections, or a controlled test between platforms. Several pairs concern different offers within the same brand.
Rockwell Automation: an industry question and a meeting opportunity
Rockwell's Google text creative presents industrial AI and the future of smart manufacturing. Its LinkedIn document ad introduces energy-industry experts attending Automation Fair and invites people to see whom they can meet. Google ad record, LinkedIn ad record.
The Google text message is educational. The LinkedIn message offers a specific encounter at an event. The platform name alone does not describe the commitment being requested.
For a complex industrial sale, meeting the relevant expert can be a credible intermediate step. The practical question is whether the proposed meeting resolves something the buyer needs to know. An event registration has value only in relation to that purpose and the follow-up it receives.
Fortinet: choose a product or speak with an expert
The Google creative offers a small-business firewall product selector. The LinkedIn creative invites people to meet Fortinet's security experts at Microsoft Ignite. Its accompanying image asks the viewer to book a meeting, while the recorded button says “Register.” Google ad record, LinkedIn ad record.
A product selector promises help narrowing a technical choice. An event meeting promises access to expertise. These are different conversion commitments. Counting both as equivalent “leads” would hide what the person actually agreed to do.
For a cybersecurity campaign, define the successful next step before choosing the button. If an ad promises a meeting, the destination should make the booking route and what happens next clear. That is a design recommendation based on the visible promise, not a finding that Fortinet's destination fails it.
DHL: an immediate shipment and a supply-chain decision
The DHL Google creative promotes international express shipping and a nearby location. The LinkedIn article ad, promoted by DHL and posted by Tobias Meyer, discusses supply-chain resilience through the DHL Globalization Tracker. Google ad record, LinkedIn ad record.
The first message helps someone with a shipment. The second gives a reader a reason to think about trade relationships and dependencies. A local shipping inquiry and a conversation about a company's supply chain are different commercial outcomes, even under the same parent brand.
This matters when reviewing your own account averages. If one campaign sells a straightforward service and another supports a large contract, the lower cost per form does not identify the better investment. Separate business lines and purchase situations before comparing acquisition costs.
Thermo Fisher Scientific: a named workflow and a technical problem
Thermo Fisher's Google text creative names Sanger sequencing software and related analysis workflows. Its LinkedIn ad addresses the difficulty of separating closely related species in complex oligonucleotide samples, with a chromatogram-style image. Google ad record, LinkedIn ad record.
The LinkedIn ad leads to an article explaining the separation problem through an NIBRT study. The article connects that explanation to relevant chromatography equipment and offers an on-demand webinar and a tip sheet. The route gives a specialist ways to examine the evidence before requesting a sales conversation. Recorded article destination.
These are different scientific applications, not a comparison of the same product. What transfers is the precision of the problem. Technical language can help the intended reader recognize relevance before clicking. For laboratory or medical equipment sold to organizations, that may be more useful than a broad promise of innovation. Product evidence and applicable advertising rules still determine what the seller can claim.
Harvard Business School Executive Education: a capability with a business use
The Harvard Business School Executive Education single-image ad connects negotiation strategies with stronger deals and lasting organizational value. It uses a “Learn more” button. LinkedIn ad record.
The message gives professional education a business purpose. It also leaves a question for campaign design: is the reader buying a place for themselves, recommending a program, or allocating a team's training budget? Those routes may need different information about relevance, time commitment, and approval.
A program inquiry is therefore not yet an employer-funded purchase. Record who is making the decision and what approval remains before using the lead count to judge the campaign.
Across the nine examples, the useful pattern is the relationship between the message and the commitment requested. A selector, article, event registration, and program inquiry can all be appropriate. The next step should fit the buyer's current question. Ad presence alone does not tell us whether any of these campaigns achieved that fit profitably.
Choose the format after the next step
Google Ads extends beyond Search. Video can demonstrate a machine, explain a risk, or show a process before someone searches for a supplier. Demand Gen reaches visual surfaces including YouTube, Discover, and Gmail. Performance Max combines inventory and uses audience signals as suggestions, with delivery possible beyond those signals. Treating every Google click as expressed search intent would erase these differences. Demand Gen, Performance Max audience signals.
| Format or approach | Useful when the buyer needs | A suitable next step |
|---|---|---|
| Google Search text ad | An answer to an expressed product or supplier need | Relevant product page, selector, quote request, or consultation |
| YouTube or LinkedIn video | A demonstration or explanation that is hard to convey in a sentence | Detailed walkthrough, technical evidence, or a relevant inquiry |
| LinkedIn single image | One clear professional problem or offer | Article, event, program details, or a focused request |
| LinkedIn document | Several connected steps, criteria, or findings | Read the material, then choose whether to identify a project |
| LinkedIn Thought Leader Ad | A credible person's explanation of a relevant issue | Read, watch, engage, or follow a permitted link |
| Sponsored Messaging | A specific invitation worth receiving directly | Register, book, or choose a relevant route |
Lead Gen Forms are a conversion mechanism, attached to eligible ad formats. They can reduce the effort of submitting details through prefilled fields. That convenience says nothing by itself about the buyer's urgency or whether sales should contact them immediately. A downloaded guide and a requested quotation need different follow-up. LinkedIn form specifications.
Thought Leader Ads now support eligible document posts as well as text, single-image, video, event, article, and newsletter content. The author's permission is required. The current objective table lists awareness and engagement, plus video views for video. Single-image, video, and document variants do not have a CTA button, although the introductory text can contain a URL. Plan the route accordingly instead of treating them as ordinary lead-form ads. Current Thought Leader Ads specifications.
For a small first test, choose one audience, one purchase situation, and an offer you can fulfill. A supplier with no credible technical explanation gains little by spreading a weak message across six formats. A strong demonstration or well-defined consultation gives the channel something useful to deliver.
When a $15 click is affordable
The two scenarios below are hypothetical planning calculations in US dollars, not client results or industry forecasts. Both buy 1,000 clicks at $15. They use a 12-month revenue horizon after the sale and exclude speculative renewals.
- One $15 click price, two business outcomesEach model buys 1,000 clicks and spends $20,000 on acquisition in total.$4,000Equipment: cost per customer, against $18,000 gross profit$20,000Services: cost per customer, against $6,000 gross profit
Why it mattersQualification, close rate and delivery margin change the result even when the click costs the same.
Operating fixSet the acquisition ceiling using your own margin, time horizon and conversion assumptions, then compare like-for-like costs.
See the assumptions and complete calculation
| Input or result | Equipment supplier | Professional-services offer |
|---|---|---|
| Clicks | 1,000 | 1,000 |
| Cost per click | $15 | $15 |
| Media spend | $15,000 | $15,000 |
| Inquiry rate | 5% | 2% |
| Inquiries | 50 | 20 |
| Inquiry-to-opportunity rate | 40% | 25% |
| Qualified opportunities | 20 | 5 |
| Opportunity-to-customer rate | 25% | 20% |
| Expected customers | 5 | 1 |
| Media cost per opportunity | $750 | $3,000 |
| Creative, management, tools, and sales acquisition work | $5,000 | $5,000 |
| Total acquisition cost | $20,000 | $20,000 |
| Total acquisition cost per customer | $4,000 | $20,000 |
| First-12-month revenue per customer | $30,000 | $15,000 |
| Gross margin after delivery costs | 60% | 40% |
| First-12-month gross profit per customer | $18,000 | $6,000 |
The equipment supplier spends $4,000 to acquire a customer expected to produce $18,000 in gross profit over the stated horizon. That leaves $14,000 before other overhead and taxes. The services offer spends $20,000 for $6,000 in gross profit, leaving a $14,000 shortfall before those other costs.
The same expensive click produces opposite answers. The service contract is substantial, but its value does not rescue a low probability of sale and limited margin.
Now set a spending ceiling before launching. Suppose each business decides to devote at most one-third of that first-year gross profit to total acquisition costs. This is a chosen planning policy, not a universal rule. It gives the supplier a $6,000 maximum acquisition cost per customer and the services business a $2,000 maximum.
A useful translation is:
Maximum total cost per qualified opportunity = maximum acquisition cost per customer × opportunity-to-customer rate.
For the supplier, $6,000 × 25% gives $1,500 per opportunity. Actual modeled acquisition cost is $20,000 ÷ 20, or $1,000 per opportunity, so it fits. For the services offer, $2,000 × 20% gives $400. Its modeled cost is $20,000 ÷ 5, or $4,000 per opportunity, ten times the ceiling.
Use total acquisition costs on both sides of the comparison. If the advertising report shows only media cost, subtract the expected creative, management, tools, and sales allocation from the customer acquisition allowance before deriving a media-only ceiling. Do not compare a media-only result with a budget intended to cover all acquisition work.
Expected customers are uncertain, especially in a small test. One unusually large win can distort the average. Stress-test a lower close rate and a lower margin, and allow for the cash required before deals close. A campaign can satisfy a long-term margin calculation and still be unaffordable for the business funding it today.
Measure the same buyer once, and allow sales to mature
Suppose an engineering director reads your LinkedIn document, later searches for your company on Google, and submits an inquiry. A colleague attends a demonstration, and the company eventually buys one system.
LinkedIn and Google may both claim a conversion under their respective attribution settings. Your CRM should still show the actual people, one buying organization, and the relevant opportunity. Adding platform conversion totals would overstate the number of acquisitions. Deleting the earlier LinkedIn touch would lose useful information about the path.
Keep three views separate: platform reporting for optimization, CRM records for business outcomes, and attribution analysis for how touches share credit. Link repeat submissions to the same contact, link colleagues to the company, and assign the commercial opportunity its own identity. Preserve the original source and later touches instead of overwriting them with the last campaign.
Agree what qualifies as an opportunity. For example, the company fits, a relevant need exists, sales has accepted the project, and a meaningful next conversation is scheduled. Adjust the definition to your sales process and apply it to both channels. A marketing-qualified lead and a sales-qualified lead should not silently change meaning between reports. MQL vs SQL.
Then compare cohorts: people or opportunities first acquired in the same period, observed for a comparable amount of time. A mature Search cohort and this month's LinkedIn leads are not equivalent evidence. Use your own distribution of time to opportunity and sale, including slower deals, rather than declaring the cohort complete as soon as it passes the median.
Dreamdata's 2026 report illustrates why this matters. In its customer dataset, the reported average time from first LinkedIn impression to revenue was 281 days. That is an attributed observation from a particular dataset, not a recommendation to keep every weak campaign running for nine months. Dreamdata report announcement.
You can stop obvious waste earlier. Irrelevant inquiries, broken tracking, absent follow-up, or persistent rejection by sales do not need a full sales cycle to diagnose. Conversely, qualified projects progressing through a long procurement process deserve a different judgment from empty forms.
When using both platforms, define the connection you can actually measure. Consented visits to your website and eligible first-party data can support remarketing. Do not assume everyone who engages with a LinkedIn post can be exported into a Google audience. Each platform's matching and serving requirements still apply. Google currently requires at least 100 active users in the previous 30 days for data segments on Search, Display, and YouTube. Older customer lists that have not been refreshed since February 1, 2024 retain a 1,000-user requirement. These are audience-list thresholds, not a minimum number of people searching a keyword. Google audience eligibility, Google Customer Match rules.
An increase in branded searches after LinkedIn activity is useful context, but PR, seasonality, organic content, and other campaigns can contribute. A sufficiently powered holdout or geographic test can help estimate incremental effect. Without that design, describe an association and keep the causal claim modest.
A practical first test and its stopping rules
Consider a hypothetical industrial inspection supplier entering a new US market. It knows which plants it can serve, has a technical demonstration, and can afford a defined test loss.
First, examine searches for the actual inspection problem, equipment type, and supplier category in the service area. Separate a need to hire from training, jobs, and general research. If there is a meaningful pool of relevant searches, begin with a focused Search campaign and a page explaining fit, evidence, service conditions, and the next step.
If search demand is too limited or poorly aligned, estimate a LinkedIn audience using suitable companies and the functions involved. Check the final reachable population after location and professional filters. Use the demonstration to answer a recognizable operational problem, then offer a relevant technical conversation. If the audience cannot deliver without repeated exposure to a handful of people, reconsider paid reach rather than broadening into unsuitable companies.
Before spending, agree the qualification definition, maximum total cost per opportunity, test-spend cap, and sales owner. Define review timing from your sales cycle and expected opportunity volume. There is no universal dollar minimum that makes the result reliable, and a small budget split between too many audiences can leave every result ambiguous.
| What you observe | What to do next |
|---|---|
| Relevant inquiries become accepted opportunities below the cost ceiling | Continue within the cap while checking sales progression and audience saturation |
| Forms are cheap, but most people lack the need or company fit | Change the promise, qualification, or audience before buying more forms |
| Correct companies engage, but the proposed next step attracts little interest | Test a more useful offer and inspect the destination before blaming the channel |
| Opportunities fit, but stall after handoff | Investigate sales response, proof, procurement barriers, and the offer |
| Reach stops growing while frequency and cost rise | Review saturation and creative fatigue before increasing budget |
| Mature cohorts exceed the acquisition ceiling without a credible repair | Stop or reallocate, retaining the evidence of what failed |
The purpose of the first test is a decision you can act on. If the evidence favors Search, fund the relevant demand. If LinkedIn reaches valuable buying teams that Search misses, judge that access on its contribution to qualified opportunities and sustainable acquisition costs. If neither fits, fixing the offer or sales process can be the better use of the budget.
For an existing account, a B2B PPC audit with Wonderflow is a practical next step before moving spend. The question is where acquisition is breaking down and whether either platform deserves more budget.
Sources and scope
Platform guidance and public ad records were checked on November 7, 2026. The article is written for US acquisition planning, with calculations in USD. The same-account CPC study does not disclose geography and is overwhelmingly SaaS. LocaliQ supplies separate US search context covering Google and Microsoft. Neither source forecasts results in a specific complex niche.
- Ad observations
- The nine ads were selected to explain different offers and buying steps, not sampled to estimate platform performance. Original creative media was retained for eight records. LinkedIn's native library view was inaccessible during collection, so its public records and original media were retrieved through an extraction service. Exact targeting and sales outcomes were not established. Some records include activity outside the US.
- Destination checks
- A displayed domain in a Google archive preview is not a verified final landing URL. Most selected records did not establish a complete destination, so the analysis stays with their visible promises. The Thermo Fisher LinkedIn record includes a full article destination. Rockwell's registration shortlink resolved to its Automation Fair URL, but the destination page was inaccessible. Its page content was not assessed. These differences limit conclusions about the experience after the click.
- Planning models
- The two economic scenarios and the inspection-supplier test are explicitly hypothetical. Their purpose is to show the calculation and decision process. They are not Wonderflow client cases, advertised prices, or guaranteed results.
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