Dizenly for Healthcare & MedTech
Healthcare and medtech buyers filter on trust before anything else. This playbook raises industry match and contact completeness well above default, pulls weight off AI-framing and outsourcing probability, and slows the sequence to fit a genuinely longer evaluation.
Who you're selling to: VP Clinical Operations, CMIO, Director of IT, Chief Compliance Officer. Tone: Trust-first and slow. HIPAA and patient safety sit ahead of every other consideration, and outreach that skips that respect gets ignored.
Ideal Customer Profile
This playbook- Roles
- VP Clinical Operations, CMIO, Director of IT, Chief Compliance Officer, VP Product (health systems and medtech vendors)
- Company size
- 100–5,000 employees
- Maturity
- Operating a live clinical or patient-facing system - not a pre-launch pilot
- Geography
- US, UK, EU - markets with an established HIPAA/GDPR-equivalent regime
Buying signals
- EHR or clinical-system migration announced
- New facility or department opening
- Recent HIPAA/compliance audit cycle
- Funding round earmarked for a technology upgrade
Disqualifiers
- No verifiable clinical or compliance function
- Pre-pilot with no live patient data
- Recent public data-breach disclosure under active remediation
How the nine scoring factors get re-tuned
Default weights come straight from the platform's baseline model and total 100. The Healthcare tuning keeps the same total and moves points toward whichever factors actually predict a good healthcare prospect.
Role / decision authority
Default 20 ptsTuned 18 pts▼ -2Titles vary more across health systems than the default assumes - a Director can hold the same authority as a VP.
Industry match
Default 15 ptsTuned 22 pts▲ +7The single biggest gate in healthcare - regulatory and clinical fit decides whether a conversation is even possible.
Services-to-needs alignment
Default 15 ptsTuned 15 pts- no changeSolution fit already carries strong default weight, and that holds true here.
Company size fit
Default 10 ptsTuned 8 pts▼ -2A 100-bed hospital and a 5,000-employee system can carry an equally urgent need, so size predicts less.
Geography match
Default 10 ptsTuned 12 pts▲ +2Licensing and compliance regimes are region-specific, so market fit earns extra weight.
Technology relevance
Default 10 ptsTuned 7 pts▼ -3Clinical fit matters more here than the specific technology stack in place.
Outsourcing probability
Default 10 ptsTuned 5 pts▼ -5Healthcare organisations more often build compliance-sensitive systems in-house.
AI / digital transformation fit
Default 5 ptsTuned 4 pts▼ -1AI-framed pitches are read cautiously in a clinical setting, so this signal is dialled back slightly.
Contact info completeness
Default 5 ptsTuned 9 pts▲ +4Healthcare gatekeeping is severe - a verified direct contact is the difference between a reply and silence.
Default total: 100 pts · Tuned total: 100 pts
The tuned four-day sequence for Healthcare
Same four-step structure the platform uses everywhere - reviewed profile, engagement, connection, AI opener - paced and worded for this vertical.
- Day 1
Review profile & compliance context
Confirm role and licensing body before writing anything - precision here is what earns a reply.
- Day 2
Engage with a clinical or operations post
Comment on patient-outcome or operational content, never anything that reads as a sales pitch.
- Day 3
Send the connection request
Keep it short and specific - healthcare inboxes are guarded and generic notes get ignored.
- Day 4
Send the AI-drafted opener
Held an extra day before follow-up; healthcare replies arrive slower than other verticals.
Sample prospects, re-ranked
Illustrative prospects showing how the healthcare tuning moves a score against the same nine-factor model.
Director of IT at a 600-bed hospital system mid-way through an EHR migration
Default 74%Tuned 91%▲ +17 ptsVP Product at a 50-person consumer wellness app with no clinical function
Default 80%Tuned 63%▼ -17 ptsCMIO at a 300-person medtech device maker with a compliance audit next quarter
Default 77%Tuned 89%▲ +12 ptsChief Compliance Officer at a 1,200-person health system, incomplete contact record
Default 83%Tuned 72%▼ -11 pts
PLACEHOLDER data: these companies, roles and scores are invented for illustration and are not real prospects.
Questions about healthcare & medtech
What this playbook weights differently, and why those factors predict better here than the defaults do.
Is this how you sell?
Bring your own list and we will run it against this playbook while you watch. Half an hour, and you will know whether the ranking matches your judgement.
Why does a partial contact record score so badly in healthcare?
Gatekeeping. A generic inbox or a switchboard number in healthcare almost never reaches the person named on the record, so an incomplete record is not a slightly weaker prospect - it is usually an unreachable one.
How much does the exact healthcare sub-sector matter?
More than in most industries, which is why industry match is pushed hard here. A clinical buyer, a payer and a device distributor are three different sales, and a model that treats them as one produces a queue nobody trusts.
Are procurement cycles a scoring factor or a sequencing one?
Sequencing. The playbook does not down-score a good prospect for being mid-cycle; it paces the follow-up so the conversation lands when there is budget to spend.
Start here
Bring one export. Leave with a ranked queue.
Tell us how your team sources and qualifies today, and we will show you the scored, ranked, owner-assigned queue that comes out the other side - and what it replaces.
Not ready to talk? Start the 14-day trial on your own list instead.
- 14-day free trial
- No credit card
- A person replies within 24 hours