Healthcare Data
Reach clinicians and health system buyers with records checked before they reach you.
Learn moreFilter, Contact, Book
Pipeline problems are usually data problems
We narrow the market down using evidence, then make sure the accounts that survive actually get contacted.
Take the data on its own, or add sending and appointment setting — the pricing is modular.
40,000+ Products covered58M Companies on file780M Professional profiles
40,000+
Products covered
58M
Companies on file
780M
Professional profiles
New intent signalService desk change · high intent
40,000+
Products covered
58M
Companies on file
780M
Professional profiles
300M+
Emails verified
97% accuracy
130M+
Contact numbers
85% accuracy
12.8M
Open job listings
The work itself
Sourcing, checking, sending, booking
Six services, one dataset, one team — which mostly means there is nobody to pass the blame to.
Tradeshow & Conference Lists
Lists that let you mention the event rather than open with something generic.
Learn moreEmail Marketing Services
Enterprise-grade sending as a service, with deliverability watched throughout.
Learn moreAppointment Setting
Qualified meetings placed on your team's calendar, from criteria you agree.
Learn moreLinkedIn & Company Data
Raw input for enrichment, market sizing and lists built from scratch.
Learn moreTechnographics Data
The one field that changes your opening line: what this company already pays for.
Learn moreHealthcare Data
Provider data that doesn't go stale in a month
Whether you sell a device, a diagnostic or a clinical system, the problem is the same — reaching the right clinician — and this is built around it.
- Specialty-level filtering across the physician universe
- Records covering clinical and operational decision-makers alike
- Rebuilt monthly so campaigns do not open against dead addresses
- Suited to medtech, diagnostics, pharma and health IT outreach
At a glance
Physician & specialist data
Records segmented by specialty
HCP contact database
Broader provider coverage
Monthly updates
Maintained on a monthly cadence
Tradeshow & Conference Attendee Lists
Attendee lists from the events that matter
Attending a show is a strong signal on its own. We supply attendee data from major events so you can use it before the badge goes in the bin.
- Records from major software, healthcare and retail conferences
- Specific enough that your email can mention the session itself
- Equally usable for booking beforehand and following up afterwards
At a glance
Major industry events
Including Dreamforce, HIMSS and more
Fresh sourcing
Collected close to each event
Timed for follow-up
Pre-event and post-event outreach
Email Marketing Services
Run campaigns without touching a DNS record
A fully managed email service covering domain purchase, PowerMTA infrastructure and ongoing campaign delivery.
- Campaign management handled from start to finish on your behalf
- Sending domains bought, authenticated and warmed during setup
- Enterprise-grade PowerMTA infrastructure run by our team
At a glance
Full-service management
Campaigns run end to end
Domain acquisition
Sending domains set up for you
PowerMTA infrastructure
Enterprise-grade sending stack
Appointment Setting Service
Chasing and confirming is our job, not yours
Qualified meetings booked straight into your team's calendar, from lists built against your own criteria.
- You get booked meetings rather than a spreadsheet of maybes
- Rescheduling, no-show chasing and confirmations sit with us
- Available alone or alongside a managed email programme
At a glance
Outbound scheduling
Meetings booked onto your calendar
Sales-ready conversations
Qualified before handover
Data-backed targeting
Built on the same source data
LinkedIn & Company Data
The data underneath every list we build
Use it to enrich an existing CRM, size a market, or build lists from scratch. Company and contact records delivered as flat files.
- Companies, people and open roles delivered on one schedule
- Field coverage deep enough for scoring and territory routing
- History and tenure fields included at individual level
- The same data we build our own campaign lists from
Company record fields
- Founded Year
- Company Name
- Website URL
- Address
- City
- State / Region
- Postal Code
- Country
- Phone Number
- Industry
- SIC Code
- NAICS Code
- Revenue
- Employee Count
- Company Size
- Ownership Type
- Stock Ticker
- Parent Company
- Company Description
- LinkedIn Profile Link
Contact record fields
- Contact Name
- Job Title
- Seniority Level
- Department / Function
- Company Association
- Location
- Years in Current Role
- Work History
- Education
- Skills
- Job Descriptions
- Bio Description
- LinkedIn Headline
- LinkedIn Profile URL
At a glance
58M+ companies
Raw company-level records
780M+ profiles
Contact-level LinkedIn data
12.8M job listings
Hiring signals included
Technographics Data
Technographic filters you can actually check
Install data matches cleanly to company records, so a filtered segment becomes a campaign without an export step in between.
- Install data on 40,000+ tracked technology products
- Matched to company records so it merges cleanly into your CRM
- Intent signals separate active evaluators from settled accounts
- Rebuilt monthly, with the refresh date supplied alongside the file
- Works for competitive campaigns, integration pitches and account tiering
Categories covered
- Enterprise Resource Planning (ERP)
- Customer Relationship Management (CRM)
- Marketing Automation
- Human Resource Management (HRMS)
- Electronic Health Record (EHR/EMR)
- Revenue Cycle Management (RCM)
- Ecommerce
- Application Security Testing
- IT Infrastructure
- + many more
Example technologies tracked
- Salesforce CRM
- Microsoft Dynamics 365
- SAP ERP
- Oracle
- NetSuite
- HubSpot
- Workday
- ServiceNow
- AWS
- Microsoft Azure
- Veracode
- Shopify
- + many more
At a glance
40K+ technology products
Install coverage across categories
Extensive category coverage
ERP, CRM, marketing automation and more
Buying intent signals
See who is actively evaluating
Monthly updates
Refreshed on a monthly cadence
Begin with a count, then a sample
Bring us an obscure category. Thin coverage gets flagged as thin, not dressed up as adequate.
andrew.morgan@techdatareports.site