Someone on the leadership team says the line every Product Manager (PM) in this sector has heard at least once: social media has no ROI. You do not have the data to push back, so the meeting moves on to paid media, and social gets treated as a content calendar to fill rather than a source of intelligence you are sitting on.
That gap is not a life sciences problem specifically. When Brooke Sellas asked marketers what their social strategy is, most described what they are going to post. Almost nobody describes what they are going to listen for. But it is a sharper problem in life sciences, because we know that our buyers have real reasons to stay quiet in public: confidentiality clauses and the fear of getting scooped before publication. That does not mean there is nothing to listen to. It means you have to be more deliberate about where you point the microphone, and more honest about what a scientist's silence does, and does not, tell you.
There are so many lessons that PMs in the life sciences can learn from Sellas’ frameworks.
Sellas’ frameworks: BIC, CARE, and a triage system
1. Listen in three buckets: Brand, Industry, Competitor
The easiest social listening strategy going is also the one PMs overlook because it sounds too simple. Set up listening streams for three things. Check your CRM first, Zoho has this built in, HubSpot's Marketing Hub has a lighter version tied to your contact data. If none of that covers you, native search on LinkedIn, YouTube, and Reddit works as a solid start:
| Bucket | What you listen for |
|---|---|
| Brand | Every spelling and shorthand of your company, product, or assay name, tagged and untagged. This is where you catch the dark mentions nobody @'d you on. |
| Industry | The category terms your buyer uses before they know your name: "best qPCR workflow for low input samples," "flow panel troubleshooting." This is where proactive intent shows up. |
| Competitor | Not just their name, their complaints. What their customers hate is your positioning brief, already written for you. |
Run all three even if you think nobody is talking about you yet. A brand with zero mentions still has an industry and competitors, which means you still have somewhere to start.
2. Sort what comes back with CARE
Once the noise starts flowing in, the framework worth using is CARE: tag every conversation for its Conversation type, then its Acquisition or Retention signal. Treat the tag as a place to look closer, not as proof that a given conversation caused a sale. Acquisition conversations carry buying intent, a scientist asking who does reliable batch-to-batch consistency on a particular reagent. Retention conversations carry friction or churn risk, for example, a lab manager posting frustration about a slow response from technical support after an instrument issue.
Sellas calls this the C.A.R.E. Method™, and there's a fourth letter worth knowing even if you don't tag for it directly: the E stands for Engagement, which her framework treats as the result of doing the first three well, not a separate bucket to sort into.
Start with the negative. It is the uncomfortable instinct to fight, because most teams gravitate toward the praise and let the complaints slide to one side. But praise does not tell you what to fix. Here is the logic in practice, hypothetically: a lab-equipment provider tags three months of negative mentions and finds that a disproportionate share, say 40 percent, trace back to one thing, a calibration step buried in the setup guide that nobody catches until the instrument is already unboxed. Fix that one step, and you are removing the reason for most of them to exist. Find the one thing, fix the one thing, and watch a disproportionate share of your negative sentiment evaporate with it.
3. Triage speed to the sector, not the internet-wide default
Consumer social teams chase a 15-minute response time. In the life sciences, you will not have a large volume of issues to listen for, but that is exactly why speed still matters: a single unanswered complaint sitting alone for three days reads worse in a sparse feed than it would in a busy one, since there is no backlog of other mentions to bury it or reassure someone scrolling past. A defensible target is closer to a one-hour response time, still fast, but realistic against your review chain. However fast you decide to respond, the first reply does one job: acknowledge, align, empathize, then move details to a private channel.
4. Go where the scientists actually are
LinkedIn has long been the default professional network for scientists. Reddit is a newer addition worth taking seriously, Nature has reported that researchers pulling back from Twitter/X are scattering across several platforms, including Reddit, Mastodon, and Bluesky, rather than consolidating on one, which is exactly the kind of fragmentation that makes deliberate listening more valuable than assuming you already know where your audience is.
Context for the life sciences
Everything above works as a starting framework. While decisions are made on logic, there is also a strong component of emotion and ego involved. Hamid Ghanadan, who has spent his career studying how scientists actually decide, frames it as three drivers: Logic (what is the truth), Emotion (how will I feel), and Ego (how will others view me). A conversation that reads as purely technical on the surface may be carrying one of the other two underneath, which is exactly why CARE tagging needs to look past the literal question being asked.
The 95 percent emotion stat is softer than it sounds
The “ninety-five percent of purchasing decisions are emotional” figure traces back to Harvard's Gerald Zaltman, whose actual claim, as Harvard Business School's own writeup confirms, is that roughly 95 percent of cognition, including purchase decisions, happens in the subconscious, not that emotion beats logic on a measurable split. Acupoll's analysis calls the number an informed estimate, not an experimental result, since non-conscious cognition is not something anyone can directly measure.
Experience and trust still matter to an eighty-thousand-dollar instrument decision. Salesforce and PwC research put experience roughly on par with price and product specs for a large share of buyers. Cite that framing instead of the Zaltman number. A room full of scientists will fact-check the stat, not just the conclusion.
Your Reddit strategy rents infrastructure you do not control
Reddit hosts more than one relevant room. r/labrats runs about 723,000 members and carries protocol gripes and product chatter alongside career advice, r/biotech adds another 228,000 focused on industry news, and smaller communities like r/AskAcademia, r/MolecularBiology, and r/PharmaIndustry round out the cluster. Small and specific is normal for a niche B2B audience, not a strike against the channel.
One caveat: Reddit's rise as an AI-visibility channel rests partly on a licensing deal between Google and Reddit, reportedly worth 60 million dollars a year, that was itself under review for non-renewal as of mid-2026 after AI Overviews cut into referral traffic across the web. It's worth not over-relying on Reddit for AI visibility specifically. Keep listening on Reddit for the reasons above, and keep LinkedIn running in parallel so the channel mix isn't riding on one company's current contract.
Some of your quiet audience will always be quiet
It's tempting to read silence as a culture problem, something friendlier prompts or better-timed polls could fix. Some of it is, but a scientist mid-study who posts even a vague comment risks a rival lab guessing what she's working on and racing to publish first. That's a real professional risk, not shyness, and no amount of encouragement removes it. Build your social media program assuming a meaningful share of your best VOC will always come from gated channels, advisory boards, closed communities, direct outreach, rather than open social.
The takeaway
The PM who wins here is not the one who proves social has ROI in a single slide to leadership. It is the one who tags numerous unglamorous conversations before anyone asks them to, and who can point to the specific friction point they fixed because of it.
Listen to the full conversation with Brooke Sellas on A Splice of Life Science Marketing here.
FAQ
How do I make the ROI case to leadership without a year of data first?
You do not need a year, but you likely need more than a sprint. Life sciences generates public chatter slowly, so give BIC listening at least a full quarter rather than 30 days before you expect a clean signal, then isolate your single biggest negative theme using CARE and bring leadership the before-and-after once you have addressed it. One concrete, attributable fix outperforms a slide of aggregate sentiment scores every time, because it gives finance a specific cause and effect to underwrite.
