When and How to Run Meta Ads in Life Sciences Marketing

Meta Ads is not usually a high priority channel in life science and healthcare marketing. LinkedIn and Google typically get the budget and attention, while marketers write off Facebook and Instagram as consumer channels with no place in B2B.

However, Meta can deliver high ad engagement at scale, particularly for B2B growth initiatives, HCP campaigns, and compliant patient recruitment strategies.

In this episode, I sat down with two of the most experienced Meta Ads specialists in the life science and healthcare industry: Robin McArthur, Senior Manager of Paid Social at Supreme Optimization, and Ally Dolezal, Senior Strategist of Paid Social at Supreme Optimization. We discussed exactly when Meta should earn a place in the marketing mix and what it takes to build a campaign that delivers.

Read on for an edited Q&A, or watch the episode in full above, on YouTube, Apple Podcasts, and Spotify.

Eric: When is it the right time for a life science organization to bring Meta Ads into the marketing mix?

Ally: Life science marketers should consider Meta Ads when their audience can't be defined by job title alone. It can work well for broader, less definable audiences, like caregivers in disease education campaigns or trial participants in recruitment campaigns.

Robin: I agree, across Facebook, Instagram, and WhatsApp, Meta reaches approximately 3.6 billion people a day, close to half the planet. That makes it a strong choice when you want to broaden your reach and add touchpoints across a long buying cycle.

In my experience, Meta usually works best as the third channel for the majority of niche life science companies. LinkedIn typically comes first for its unmatched targeting precision, and Google second for capturing bottom-of-funnel search intent.

That said, there are cases where Meta beats LinkedIn outright and should be your first choice, such as patient recruitment, e-commerce, and anything B2C-adjacent. These campaigns reward high reach, low CPMs, and frequency against a large audience, especially when you have a solid website conversion to optimize toward.

Ally: Meta is also highly effective when it comes to retargeting so I always put a website-visitor layer on every campaign, because the algorithm is very good at finding and reaching those people again.

Eric: What’s the one thing you would say to a life sciences organization considering adding Meta Ads to the channel mix?

Robin: I would say that your audience is there, and you can definitely reach them with Meta Ads. With the right approach and setup, you'll find them and get the results you want at a great cost.

Eric: In your experience of auditing hundreds of Meta accounts, what common mistakes do you see?

Robin: The most common mistake is related to poor conversion tracking. Either there's no Facebook tracking pixel set up, or the pixel isn't working to track any attribution events, such as contact form submissions, purchases, or leads. Without those signals, the algorithm has nothing to optimize against.

The second recurring mistake is not having a clear and valuable goal. Without this, the Meta account will optimize for something cheap and easy, usually link clicks. Meta is completely literal. If you ask it for link clicks, it buys the cheapest clicks it can, from whoever is most likely to click, but those people might not be your target audience.

Because of this, it’s absolutely essential to have a clear goal and good tracking so the platform can find the right people for you. Our job as Meta Strategists is to feed the algorithm with quality signals to improve targeting over time, rather than manually micromanaging the audience.

Ally: One of the most common mistakes I see is creative fatigue. Life science companies are especially prone to running a single ad for months without variation. Over time, engagement drops and cost per lead climbs. On the subject of creative, one of my favourite approaches is to run vertical video ads, which can lift engagement and extend the life of your creative.

Eric: For a company that's never run Meta Ads before, what fundamentals do they need to get right from day one?

Robin: In my experience, there are four key pillars of a successful Meta Ads account.

First, a clear goal and accurate tracking. Put the pixel on the site, add the Conversions API as a backup, and define one valuable goal, such as website contacts, purchases, or pre-qualified trial recruits. That gives you something to optimize your campaigns toward.

Second, enough budget for the algorithm to learn. More specifically, you need to buy enough conversion volume. The ideal is 50 conversions per ad set per week because, at that volume, the algorithm operates at full effectiveness. Whether that is cheap or expensive depends on your cost per conversion, which dictates the budget you actually need. If your spend can't reach 50 conversions, the ad set is learning-limited, but it can still perform well with good tracking and good creative.

Third, simple account structure. Simplicity is how Meta gets ads to the right people. Don’t spread the budget too thin across lots of campaigns and goals. You need to do the opposite, and consolidate into as few campaigns and ad sets as possible, all on one goal, and feed one campaign with as much data as you can.

Fourth, varied creative assets. Generally, the best approach is to run a variety of formats, customize for each placement, and make the desired action obvious. Meta's Advantage+ creative options can be useful, but it's important to use them selectively and ensure you have an experienced, human eye making the final judgment call. For patient recruitment, where creative can take weeks to clear MLR review, we build a library of pre-approved content, so fresh variations can go live the same day instead of waiting for the next review cycle.

Eric: In terms of patient and clinical trial recruitment, why is Meta so effective?

Robin: Recruitment audiences are defined by condition, eligibility, and location, not job title, which is exactly what Meta is great at.

My favorite example of how well Meta Ads can work for recruitment is the GoodNature Program. It’s not a clinical trial, but the playbook is similar because they needed stool donors in specific US locations who were also non-smokers, non-drinkers, and healthy.

We built an eligibility-checker form on their site and made the tracked conversion a completed, eligible submission. That one change meant the algorithm chased qualified people rather than form fills.

We kept the project's structure simple, with just one ad campaign per donation center. Then we split-tested creatives until we found the best-performing creative. The standout winner used plain, human language and a bit of humor, with the copy “Get Paid to Poop.”

Over a multi-year period, the campaign was a constant source of eligible, in-region donors for about $15 each.

Eric: Meta has taken away a lot of manual control through AI automation. Can you explain what Andromeda is, and how to get the best out of it?

Robin: Andromeda is Meta’s AI-powered ad retrieval engine. It’s been designed to process thousands more ads than previous systems, accommodating the surge in ad variations generated by Advantage+ automation and generative AI tools.

Modern Advantage+ options can generate thousands of variations of a single ad from a single creative base of images, videos, copy, headlines, and CTAs. Andromeda analyzes user behavior, ad content, and contextual signals to predict which ad variation is best for the right person at the right time.

Ally: As Meta Ad strategists, our role is to give the engine a strong, varied base of creatives across different formats such as video, static, and carousel, and then let the engine place them. Overall, Andromeda favors creative variety over detailed audience targeting.

Robin: The Andromeda feature I am most excited about is Value Rules. Normally, Meta bids on your behalf to maximize the number of clicks or leads your ads receive. However, Value Rules allow you to weight those bids towards the audience you want to target, such as their demographics, location, or segment.

For example, in a clinical trial for male pattern baldness, you have to be actively balding to be eligible, but rather than excluding women and very young or very old men, we lower the bid by 50-90% for those groups. This allows the algorithm to still find edge cases while preventing us from wasting budget. It is a real improvement from a year ago.

Eric: Outside the Meta platform, how are you using AI to support the work itself?

Robin: I use AI to research a new client, scan their site for valuable conversion opportunities, get up to speed on unfamiliar topics, and prep and summarize meetings. It is not a silver bullet, but it is a multiplier. Work that took hours now takes minutes, and the time saved can be devoted to strategy.

Ally: Whenever AI is used in a workflow, it’s essential for a Meta Ads strategist to always own the final call on scientific accuracy. Patients and caregivers value the true story, and the risk in regulated work is too high to leave to an automated tool.

Eric: Looking 12 months out, what shifts should life science marketers anticipate?

Ally: Input quality will become more essential than ever as AI-generated slop floods feeds. To perform well, ad copy must convey a brand’s expertise and tell the right story in the right way, with engaging headlines and CTAs.

Robin: I agree. Meta has offered AI image generation for a while, but I have never seen a good one, and you can spot it in the feed instantly. I’ll caveat that there are some good AI features, though. If you upload a horizontal video, Meta can expand it to fit a vertical mobile placement, and that can look excellent.

Beyond that, the next 12 months are impossible to predict. Meta changes faster than any platform, and the foundation you build your whole strategy on can shift in a month. Keeping up with that rate of change is a heavy lift for most life science companies, so partnering with Meta Ads specialists can be a great way to stay on top of the updates.

To get the most out of Meta Ads, life science organizations should bear in mind a few core principles:

• Look beyond the job title: Meta works best when the audience can’t be defined by a job title alone, such as caregivers, patients, or trial participants. For niche B2B audiences, it's a strong third channel for widening reach across a long buying cycle.
• Fix tracking before you spend: Meta is very literal in how it interprets your goals and allocates your spend. Without a pixel and one clear, valuable goal, it will buy the cheapest clicks it can find, from people who are often not your target audience.
• Keep the account simple: Consolidate into as few campaigns and ad sets as possible, all optimizing toward one goal, so the algorithm gets enough data to learn.
• Don't let creative go stale: Running one ad for months drives engagement down and cost per lead up. Feed the algorithm varied formats, and for regulated work, build a library of pre-approved templates so fresh variations can go live quickly, without having to wait for any approval processes to be completed.
• Make Meta your first choice for patient recruitment: Recruitment audiences are defined by condition, eligibility, and location, which is exactly how Meta finds people. Track eligible submissions rather than form fills, and qualified candidates can cost as little as $15 each.
• Let AI multiply the work, not make judgment calls: Andromeda rewards creative variety over detailed targeting, and AI can turn hours of prep into minutes. A human strategist should still own every decision on scientific accuracy.

Want to explore Meta for your company? Talk to our paid social team.

You can find the full conversation on Spotify, Apple Podcasts, YouTube, or wherever you get your podcasts.