Clinical buyers filter out cold email.
We reach them anyway.
VP Clinical Operations and Director of Practice Management sit behind institutional spam filters and see hundreds of vendor emails a week. We run signal-based outbound tied to EHR migrations and staffing expansions, add LinkedIn because clinical buyers respond there, and build the search presence a health system checks before it replies.
Proof in healthtech companies
From zero outbound to 73 qualified meetings in 12 months
Clinical buyers at health systems use institutional email systems with aggressive spam filters and see hundreds of vendor emails a week. Signal-based targeting tied to EHR migrations and staffing expansions, plus LinkedIn outreach, took Flexbone AI from zero outbound to 73 meetings and $920K in pipeline in 12 months.
Read the Flexbone AI case study →Outbound for healthtech companies
Reach clinical buyers who filter out every vendor email
A generic vendor email dies in an institutional spam filter before a VP Clinical Operations ever sees it. We target the signal, not just the title, and run LinkedIn alongside email because that is where clinical buyers actually reply.
- Signal-based targetingHealth systems tied to EHR migrations and staffing expansions, pulled from job postings and press releases. Verified before a single send.
- Infrastructure you ownDedicated sending domains, warmed for weeks before the first campaign, placement tested against institutional filters.
- Operational copy, not featuresEvery email leads with an efficiency metric, never a product pitch. Multichannel with LinkedIn, where clinical buyers reply more.
- Reply handling and reportingReplies routed the same hour. Weekly: sends, replies, meetings, pipeline.
Result: qualified meetings with VP Clinical Operations and Director of Practice Management at health systems on your calendar.
Inbound and AI search for healthtech companies
Be there when a health system searches for your category
A health system evaluating new software searches the category and checks references before it takes a call. We build the pages and case studies that show up, and the technical floor AI engines require before they cite anyone.
- Technical floorSchema, canonicals, structure, speed. What engines require before they cite a healthtech vendor.
- Category and workflow pagesOne page per workflow your product replaces, written to the question a practice administrator types.
- Case studies that get quotedNamed healthtech clients, real numbers, structured for AI answers.
- AI visibility measuredEvery two weeks we ask ChatGPT, Perplexity and Google who they name for your category.
Result: the buyer who gets your cold email searches your name and finds proof, not silence.
What we fix
Four healthtech problems. One system.
What healthtech founders tell us on the first call, and what we do about each.
Institutional systems catch generic outreach before a human sees it.
Dedicated, warmed domains and copy built around a metric, not a feature.
Demos through word of mouth work, until the founder runs out of hours.
A weekly outbound engine that runs while the founder closes.
Clinical leaders read LinkedIn more than their inbox.
LinkedIn outreach run alongside email, matched to the same signal.
Sourcing this buyer by hand does not scale.
A segmented CRM and verified list built before the first send.
Case studies
Results for healthtech companies
Named clients, real numbers. Every card links to its own case study.
What is lead generation for healthtech companies?
By Tanveer Sinngh, Founder at Montazzo · What we run it on
The stack, so you know what you are getting
Tool-agnostic, strategy first. We bring the infrastructure, the data and the sending platform. You own the domains and the lists.
Instantly
Clay
Apollo
ApifyAI Ark
HeyReach
LinkedIn Sales Navigator
Claude
Google Workspace
Search Console
Netlify
SupabasePlus the sourcing, scoring and reply-handling pipelines we built in-house, because the off-the-shelf ones were not good enough.
FAQ
Questions healthtech companies ask us
Yes, but generic outreach fails. Institutional email systems filter aggressively, so it needs signal-based targeting, warmed dedicated domains, and copy built around an operational metric rather than product features. Our healthtech engagement ran at a 3.1% reply rate.
Clinical buyers treat LinkedIn as a peer conversation rather than a vendor channel, so they respond there more readily. In our Flexbone AI engagement, 38% of meetings came from LinkedIn, not email.
Typically VP Clinical Operations and Director of Practice Management at mid-size health systems, though the exact title depends on what your product replaces or automates.
Our Flexbone AI engagement averaged roughly 6 meetings a month once the channel was running, after two initial test campaigns with a freelance SDR had produced zero in 8 weeks.
Yes, same system, US buyers, reporting in your timezone. This applies to healthtech companies built in India and selling into US health systems the same way it applies to any other B2B company we work with.
We build the outbound and inbound channel. Compliance review of your own product and data handling stays with your team and counsel.
Let's build your healthtech pipeline.
A 30-minute call. We look at what you have, tell you what we would run for healthtech, and you decide.
Let's chat