Google Ads vs LinkedIn Ads for life sciences: What works and when
Most life science companies running paid advertising eventually face the same question: should we be spending our budget on Google Ads, LinkedIn Ads, or both?
The honest answer is that neither platform wins universally. Google Ads and LinkedIn Ads are fundamentally different tools that work well in different circumstances, for different objectives, and at different stages of commercial development. Choosing one over the other without understanding that distinction is one of the most common ways life science companies waste paid advertising budget.
This blog explains what each platform actually does well in a life sciences context, where each one falls short, and how to decide which one, or which combination, makes sense for your specific situation.
Table of contents
The fundamental difference between the two platforms
Before comparing costs and performance, it helps to understand what each platform is actually built to do.
- Google Ads captures existing demand. When someone searches ‘biotech CRO services Europe’, Google shows your ad at the moment of active intent. You are meeting existing demand. The limitation: Google cannot tell you who that person is until they convert. In life sciences, a significant portion of broad search traffic comes from researchers, students, and competitors who will never become qualified leads. Therefore, excluding keywords is almost as important as deciding on which keywords you want to target to reach the right audience.
- LinkedIn Ads creates and nurtures demand. LinkedIn places your content in front of specific professionals, defined by job title, seniority, company size, and industry, regardless of whether they are actively searching. You are building awareness with people who fit your ICP but may not yet know they need what you offer.
Where Google Ads works well for life science companies
- Bottom-of-funnel searches. When a procurement manager types ‘medical device marketing agency Belgium’ or ‘biotech web design agency‘, that is active purchase intent. Google Ads lets you appear at exactly that moment.
- Brand and competitor terms. If prospects are searching for your company name or comparing you to a named competitor, Google Ads gives you control over what they see at that moment.
- Remarketing. Showing ads to people who have already visited your website is highly efficient on Google’s Display Network. In life sciences, where sales cycles are long, remarketing keeps your brand visible to warm prospects throughout a multi-month evaluation process.
What to watch out for: broad match keywords attract researchers, students, and journalists who inflate costs without adding to the pipeline. Tight keyword targeting and negative keyword lists are not optional.
Where LinkedIn Ads works well for life science companies
- Reaching niche professional audiences. LinkedIn lets you target ‘Head of Business Development’ at ‘Pharmaceutical companies’ with ’51-500 employees’ in ‘Belgium, Netherlands, and Germany’. That level of precision is only available on LinkedIn.
- Top and mid-funnel awareness. LinkedIn Ads reach professionals who are not yet actively searching but who fit your ICP, building awareness before they start searching.
- Account-based marketing. If your target market is a defined list of specific companies (ten large pharma companies, twenty CROs), LinkedIn’s account targeting tools let you run campaigns specifically to employees at those companies.
- Content and thought leadership formats. LinkedIn’s ad formats (sponsored content, carousels, document ads, Lead Gen Forms) are built for content distribution. For life science companies where trust is central to the buying decision, distributing a white paper or technical case study to a targeted professional audience is genuinely valuable.
What to watch out for: across B2B sectors broadly, analysis of 100+ marketing teams found LinkedIn’s cost per ICP account engaged was $257 compared to $560 for Google, suggesting LinkedIn reaches qualified accounts more efficiently. For the healthcare and biotech sector specifically, LinkedIn CPC typically runs $6 to $9 per click with a cost per lead of $70 to $95 for Lead Gen Forms. Either way, the minimum required to generate meaningful data from a LinkedIn campaign is typically at least €1,500 to €2,000 per campaign.
Comparing the two platforms on key metrics
Metric | Google Ads | LinkedIn Ads |
Targeting mechanism | Search intent and keywords | Professional identity and attributes |
Best for | Bottom-funnel, active searches | Top and mid-funnel, awareness and nurturing |
Avg. B2B cost per lead | ~$70 per lead (cross-industry B2B) | $70 – $90 for life sciences Lead Gen Forms |
Audience precision | Limited: defined by search query | High: job title, company, seniority |
Minimum test budget | €500 – €1,000 | €1,500 – €2,000 |
Conversion speed | Faster | Slower |
Content formats | Text ads, display, video | Sponsored content, Lead Gen Forms, carousels |
Remarketing | Available across millions of external websites and apps | Available but limited to the LinkedIn platform |
A decision framework for life science companies
Choose Google Ads if:
- Your audience searches for your category using commercial keywords
- You are targeting bottom-of-funnel intent: people already evaluating suppliers
- You have a clear keyword strategy and the ability to manage negative keywords carefully
- Your sales cycle is relatively short (under 3 months), and your deal size is moderate
Choose LinkedIn Ads if:
- Your target audience is defined by specific job titles or company types that are difficult to reach through search
- You are building awareness with an audience that does not yet know they need your product
- You are distributing content (white papers, webinars, technical guides) to a targeted professional audience
- Your sales cycle is long (6 months or more), and your average deal value is high enough to justify higher acquisition costs
Run both if:
- You have sufficient budget for each channel to generate meaningful data (minimum €3,000 to €4,000 per month combined)
- You want Google to capture active demand while LinkedIn builds awareness with your broader ICP
- You have CRM attribution in place to measure pipeline contribution from each channel
What to measure
The metrics that matter for life science paid advertising:
- Cost per qualified lead (CPQL). Not cost per lead, but cost per qualified lead. Define your MQL criteria before running any campaign and measure CPQL from day one.
- Lead-to-meeting conversion rate. What percentage of leads from each platform convert to a first sales meeting? This is the most direct indicator of lead quality.
- Pipeline value by channel. Over a 6 to 12 month window, which channel is contributing to the actual commercial pipeline? This requires CRM attribution, but it is the only metric that definitively answers the Google vs LinkedIn question for your specific business.
Conclusion
Google Ads and LinkedIn Ads are not competitors. They are tools with different strengths, and the question is not which one is better, it is which one is better suited to what you are trying to achieve right now.
For most life science B2B companies, LinkedIn Ads offers better audience precision for top and mid-funnel awareness, while Google Ads is more efficient for capturing bottom-funnel commercial intent. The right starting point depends on where your audience is, what they are searching for, and what your budget allows you to test properly.
If you want to discuss how paid advertising fits into your specific marketing strategy, get in touch. We manage paid campaigns exclusively for life science companies.
Questions or need guidance? Send us a message, we’re happy to help!
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Frequently asked questions: Google Ads vs LinkedIn Ads for life sciences
Which is cheaper, Google Ads or LinkedIn Ads?
On a cost-per-click basis, Google is typically cheaper. However, in life sciences, the relevant comparison is cost per qualified lead, not cost per click. LinkedIn’s higher CPC is often offset by better audience precision for the healthcare and biotech sector specifically. LinkedIn’s CPC typically runs $6 to $9 per click with a cost per lead of $70 to $95 for Lead Gen Forms. The average B2B cost per lead on Google was $70.11 in 2025 (cross-industry B2B). The two platforms are therefore comparable in cost per lead, but LinkedIn might reach a more precisely defined audience for the same price.
Can you run Google Ads and LinkedIn Ads at the same time?
Yes. For life science companies with sufficient budget, running both simultaneously is often the most effective approach, using Google to capture active demand while LinkedIn builds awareness with your broader ICP. The key is having at least €1,500 per month per channel and CRM attribution in place.
What budget do you need to start LinkedIn Ads for a life science company?
A minimum of €1,500 to €2,000 per campaign to generate statistically meaningful performance data over four weeks. LinkedIn’s own guidance suggests a minimum daily budget of €50 to €100 for most campaign types.
How do you target researchers and clinicians with LinkedIn Ads?
Target by job title (Research Scientist, Principal Investigator, Clinical Director), by industry (Pharmaceuticals, Biotechnology, Hospital and Healthcare), by seniority level, and optionally by skills. Layering multiple targeting criteria produces a smaller but more precisely defined audience, generally preferable in life sciences where quality matters more than volume.
Is Google Ads worth it for a small biotech startup?
It depends on whether your audience searches for your category using commercial keywords. If you are entering an established category (CRO services, analytical tools), Google Ads can efficiently capture prospects already evaluating options. The starting budget for a meaningful test is approximately €500 to €1,000 per month for a tightly defined keyword set.
When should a life science company work with an agency for paid advertising?
When you lack in-house expertise to structure campaigns correctly, define negative keyword lists, build audience segments, and interpret performance data with enough precision to optimize spend. Poor campaign structure does not just produce mediocre results, it actively wastes budget.
