Target businesses by their technology landscape, from AI and machine learning to CRM and ERP systems, cloud infrastructure, cybersecurity, business intelligence, HR software, and specialized enterprise platforms. Focus on the organizations, technology environments, and professional decision-makers that align with your products, services, and ideal customer profile.
DataLiftor provides targeted Technology Users Email Lists to help businesses identify companies associated with relevant technologies and refine their audience by industry, company profile, job function, seniority, and geography. Whether targeting AI platforms, enterprise software, or cloud solutions, use technology-based company insights to prioritize relevant accounts, identify key stakeholders, uncover new market opportunities, and develop focused B2B campaigns. These technology associations support account-level targeting but do not necessarily confirm that individual employees personally use a specific platform.
GDPR Compliant
CCPA Compliant
CAN-SPAM Compliant
CASL Compliant
HIPAA Compliant
Technology-based prospecting is most useful when a platform or category is connected to a business profile and relevant stakeholders. DataLiftor helps define the technologies, company types, industries, and professional roles that fit your offer, then applies available company, function, seniority, and geography filters. This provides a more meaningful starting point than assuming every employee at a technology-associated company is an active user.
Target companies associated with customer relationship, sales engagement, and revenue workflow platforms.
Find businesses associated with software supporting finance, procurement, enterprise operations, and resource planning.
Reach companies associated with cloud services, infrastructure tools, hosting, and systems management.
Focus on technology environments connected to security, access, monitoring, and IT operations.
Identify companies associated with systems for talent, payroll, scheduling, and workforce operations.
Target technology-associated companies using data platforms, reporting tools, and analytical infrastructure.
Start with the technology categories or platforms relevant to your offering, then define the companies and professional roles likely to matter to your campaign. Add industry, company size, department, seniority, and geography to distinguish suitable accounts and stakeholders. DataLiftor helps translate technographic requirements into a focused prospect list while keeping the distinction between company-level technology association and confirmed individual use clear.
Specify the technologies, company profiles, industries, and stakeholder roles connected to your offering.
Combine technology category or platform association with company size, industry, department, job title, seniority, and geography.
Choose the countries, regions, states, and cities where the target companies and technology stakeholders operate.
Bring technology context and company/contact criteria together in a custom audience aligned with your campaign.
Technology adoption and business needs vary by sector, company size, and geography. Define the technology categories and territories you want to pursue, then narrow the audience by company profile and professional roles relevant to your solution. DataLiftor helps structure the target list for market research, account planning, competitive positioning, and focused technology sales outreach. Technology association should be treated as a company-level signal unless individual use is separately confirmed.
A technology association becomes more useful when it is combined with business profile and stakeholder context. A record may indicate a company’s relationship with a platform or technology category, while the contact fields help identify people in IT, operations, finance, sales, HR, or other functions who may be relevant to your offer. DataLiftor organizes available technographic and professional attributes around your requirements; company association should not be confused with verified individual usage.
Use technographic criteria to define the company environments most relevant to your product, then add the people and business profiles that fit your campaign. Specify technology categories or platform associations, industry, company size, geography, and stakeholder roles. These criteria help define the target audience, but a company’s association with a technology does not prove that each named employee personally uses it.
| Specialty | Global Count | USA Count |
|---|---|---|
| Cardiologists | 145K+Verified contacts | 26K+Verified contacts |
| Pediatricians | 430K+Verified contacts | 65K+Verified contacts |
| General Surgeons | 220K+Verified contacts | 27K+Verified contacts |
| Internal Medicine | 890K+Verified contacts | 230K+Verified contacts |
| OB/GYN | 180K+Verified contacts | 45K+Verified contacts |
| Family Medicine | 640K+Verified contacts | 130K+Verified contacts |
| Specialty | Global Count | USA Count |
|---|---|---|
| Registered Nurses | 3M+Verified contacts | 900K+Verified contacts |
| Nurse Practitioners | 350K+Verified contacts | 120K+Verified contacts |
| ICU Nurses | 280K+Verified contacts | 90K+Verified contacts |
| ER Nurses | 240K+Verified contacts | 70K+Verified contacts |
| Pediatric Nurses | 190K+Verified contacts | 55K+Verified contacts |
| Oncology Nurses | 130K+Verified contacts | 40K+Verified contacts |
| Specialty | Global Count | USA Count |
|---|---|---|
| General Dentists | 300K+Verified contacts | 95K+Verified contacts |
| Orthodontists | 60K+Verified contacts | 20K+Verified contacts |
| Endodontists | 30K+Verified contacts | 9K+Verified contacts |
| Periodontists | 28K+Verified contacts | 8K+Verified contacts |
| Oral Surgeons | 25K+Verified contacts | 7K+Verified contacts |
| Pediatric Dentists | 22K+Verified contacts | 6K+Verified contacts |
| Specialty | Global Count | USA Count |
|---|---|---|
| Retail Pharmacists | 320K+Verified contacts | 110K+Verified contacts |
| Hospital Pharmacists | 180K+Verified contacts | 60K+Verified contacts |
| Clinical Pharmacists | 90K+Verified contacts | 30K+Verified contacts |
| Compounding | 40K+Verified contacts | 12K+Verified contacts |
| Industrial | 30K+Verified contacts | 9K+Verified contacts |
| Consultant | 25K+Verified contacts | 8K+Verified contacts |
| Specialty | Global Count | USA Count |
|---|---|---|
| Physical Therapists | 380K+Verified contacts | 110K+Verified contacts |
| Radiologic Techs | 340K+Verified contacts | 95K+Verified contacts |
| Respiratory Therapists | 190K+Verified contacts | 55K+Verified contacts |
| Medical Assistants | 720K+Verified contacts | 200K+Verified contacts |
| Lab Technicians | 410K+Verified contacts | 120K+Verified contacts |
| Occupational Therapists | 230K+Verified contacts | 70K+Verified contacts |
| Specialty | Global Count | USA Count |
|---|---|---|
| Chief Medical Officers | 40K+Verified contacts | 14K+Verified contacts |
| Chief Nursing Officers | 35K+Verified contacts | 12K+Verified contacts |
| Hospital CEOs | 28K+Verified contacts | 9K+Verified contacts |
| VP Operations | 55K+Verified contacts | 18K+Verified contacts |
| Practice Managers | 210K+Verified contacts | 70K+Verified contacts |
| Directors of Nursing | 82K+Verified contacts | 26K+Verified contacts |
The examples below show how a technology category or company-level platform association can be combined with industry, company size, and a relevant professional role. They are illustrative sample structures, not live records. A listed technology association should not be read as confirmation that the individual contact personally uses the product.
Request a sample built around the technologies and company profiles relevant to your campaign. Review how technology category, company association, industry, company size, contact role, and geography are represented. The sample can help assess the data structure, while any individual-level user status should be separately confirmed if it is essential to your use case.
| 95%+ Data Accuracy | Custom-Field Selection | Healthcare Industry Targeting | Role & Specialty Segmentation | USA & Global Coverage | Regular Data Refresh |
|---|---|---|---|---|---|
| Dr. Sarah MitchellMD, FACC | Cardiology | Riverside Heart Institute | s.m••••••@••••••••.com | +1 (312) •••-•••• | Verified |
| Dr. James WhitfieldMD | Oncology | Lakeshore Cancer Center | j.w••••••@••••••••••.com | +1 (415) •••-•••• | Verified |
| Dr. Priya NairDO | Pediatrics | Sunrise Children’s Clinic | p.n••••@••••••••.com | +1 (713) •••-•••• | Verified |
| Dr. Michael TorresMD, FAAD | Dermatology | Coastal Dermatology Group | m.t•••••@••••••••••.com | +1 (305) •••-•••• | Verified |
| Dr. Emily ChenMD | Neurology | Summit Neurology Partners | e.c•••@••••••••••.com | +1 (206) •••-•••• | Verified |
Technology prospecting calls for careful interpretation of the data behind each account. DataLiftor takes a requirement-first approach, combining database experience, target-market research, AI-assisted checks, and human review to shape an audience around technology context and relevant stakeholders. We distinguish company-level technology association from a verified claim about individual product use.
We clarify the technology categories, company profiles, markets, and stakeholder roles you need. Potential companies and contacts are researched, available technology and business attributes are assembled, and records are reviewed against the brief. AI-assisted checks and human review help improve consistency, while a sample can help you evaluate whether the available technographic context suits your campaign.
Define the technology category or platform association, company profile, stakeholder roles, geography, and required fields.
Research the relevant technology segments, business environments, companies, and professional audiences.
Identify potential records through company websites, technology references, business directories, and relevant industry sources.
Combine available company-level technology context with company, role, industry, and geographic attributes.
Review data consistency and assess whether the record aligns with the requested technology and audience criteria.
Check the required contact information and relevant business and technology fields.
Assess whether the available technology context and stakeholder fields suit the intended prospecting use.
Review the assembled list against the agreed technology scope and clarify limitations in available fields.
Tell Us Which Technologies and Companies Matter. We’ll Shape the Data Around Them.
Specify the software, platform, infrastructure, or technology category relevant to your offer.
Choose the organization types, sectors, sizes, and business environments that fit your ICP.
Identify IT leaders, department heads, technical evaluators, business owners, or other relevant functions.
Narrow contacts by title, department, and level of responsibility.
Define the countries, regions, states, and cities where the technology-associated companies operate.
Add named-account criteria, exclusions, related technologies, fields, or other campaign-specific needs.
Technographic prospecting works best when technology context is connected to the company and people relevant to your offer. DataLiftor helps define target technology categories, combine them with business and contact fields, create a custom audience, and review a sample before scaling. A company-level association is useful for account research but should not be treated as proof of individual platform use.
Define CRM, ERP, cloud, security, HR, analytics, design, engineering, and other relevant technology areas.
Use available company technology associations alongside industry, size, roles, and geography.
Review sample field groupings for software, infrastructure, security, workforce, data, and specialized platforms.
Translate your technology and business criteria into a focused target-company and contact list.
Review how technology association and stakeholder fields are represented before a larger purchase.
Support account research, technology sales, competitive positioning, partner development, and targeted campaigns.
DataLiftor profiles your technology target and the business roles relevant to it, evaluates potential records against the requested criteria, and checks the available company and contact fields. AI-assisted validation and human review help identify inconsistencies before delivery. Where a technology association is company-level, it should not be interpreted as confirmation of personal usage by an individual contact.
The requested technology-user email list audience is defined around the people and companies you want to reach.
Potential prospects are assessed against your audience and targeting criteria.
Records are checked for consistency across the key contact, company, or audience fields required for the list.
AI-assisted checks and human review provide an additional layer of review before finalization.
The refined technology-user email list dataset is delivered in the agreed structure for your targeted prospecting.
Find answers about technographic data, technology categories, company-level associations, stakeholder roles, customization, samples, quality review, pricing, delivery, and responsible use. These details help you assess whether the available technology context fits your target-market and prospecting needs.
“Depending on the requested audience, records may include contact name, job title, company, department or function, business email, phone, website, industry, seniority, and location. Technology Users Email List fields are scoped to the request, and available detail can vary by source, market, and segment.”
“A technology-user email list is a structured set of business contact records tailored to businesses associated with specific technologies and the professional roles relevant to those systems. DataLiftor starts with your audience criteria and combines relevant contact, company, and location details where available, so the list reflects the market and use case you describe rather than a generic pool of records.”
“A broad database may contain a wide range of unrelated records. A targeted technology-user email list is scoped around a defined audience and selected filters. DataLiftor uses your brief to shape the list around technology category, company context, relevant roles, industry, and geography, with the goal of making the records more relevant to your intended outreach.”
“Common fields can include contact name, title, company, industry, department, seniority, website, business email, phone, and geography. For this audience, additional fields may include company name, technology category, platform association, industry, company size, contact role, business email, location. The final field set should be agreed before the list is prepared.”
“Businesses use a technology-user email list when they need to reach companies associated with relevant business technologies and their professional contacts for B2B sales, marketing, account research, partnerships, market development, or similar commercial activities. The best fit depends on whether the selected audience matches the product, service, or business objective.”
“A mailing list typically emphasizes structured contact records for outreach, while a broader prospect database may include more company, professional, and market context. DataLiftor can structure relevant fields around your requirements so the records can be assessed and segmented for the intended business use.”
“No. This is intended for B2B prospecting using professional and business information, not sensitive private-person or consumer records. Buyers should still review the source, intended use, and applicable privacy and marketing rules for the markets and campaigns involved.”
“Yes. The list can be scoped around crm & sales technology, erp & business applications, cloud & it infrastructure, cybersecurity & it management or another suitable segment you specify. DataLiftor can combine the segment with company profile, professional role, and geography so the audience is not defined by a broad label alone.”
“Yes. You can define the relevant role groups and decision-makers within companies associated with relevant business technologies and their professional contacts. The requested audience can be narrowed by function, title, seniority, organization, or other available criteria, although a title or profile alone should not be treated as guaranteed purchasing authority.”
“Yes. Related segments can be included in one request or separated into distinct audiences. The choice depends on whether the groups share the same business use case and whether your team needs one consolidated list or separate segments for different messaging.”
“Where available, company size and organization type can help distinguish small businesses, mid-market organizations, enterprise accounts, or specific operating models. Combining these criteria with technology category, company context, relevant roles, industry, and geography helps make the target more specific.”
“Yes. Job title, function, and seniority can be combined with the core audience criteria where those fields are available. This context can help identify contacts whose responsibilities are more closely related to your offer, rather than relying on a single attribute.”
“Yes. You can define a narrow segment within a larger market. DataLiftor can use the industry, business category, professional profile, technology context, or other criteria in your brief to focus the audience around a specific niche.”
“Yes. The relevant professional functions or decision-making roles can be included with the selected audience. The fields available depend on the segment and market, so it is useful to specify the required roles and review a sample before ordering a larger list.”
“Data quality depends on the segment, source, market, and how records are matched and reviewed. DataLiftor's established positioning is up to 95% data accuracy, but that should not be read as a guarantee for every record or every custom audience. Reviewing a sample for relevance and field completeness is a practical step before scale.”
“DataLiftor describes a validation approach that combines AI-assisted checks with human review. Depending on the request, checks can focus on contact details, company attributes, audience fit, inconsistencies, and the fields required for the specific list. No single check establishes that every field is current or that an email will reach an inbox.”
“Contact and company information can change as people move roles, businesses expand, and technology or market conditions evolve. A list should not be assumed permanently current. Specify any freshness needs in the brief and review sample records to understand whether the available data suits your use case.”
“Evaluate audience relevance, the fields included, the targeting options, geographic coverage, the provider's validation approach, delivery format, sample quality, and suitability for your intended use. Ask how the sample reflects the requested criteria, and do not assess a list on record volume alone.”
“Yes. A sample lets you check field structure, target fit, and the type of record details available before moving to a larger purchase. DataLiftor can scope a sample around the requested audience so you can compare the examples with the requirements set out in your brief.”
“Yes. The list can be defined around your ideal customer profile using relevant criteria such as technology category, company context, relevant roles, industry, and geography. Share the must-have filters, useful secondary fields, exclusions, geography, and intended purpose so the requested audience can be scoped clearly.”
“Yes. Customization can cover audience type, company profile, professional roles, geography, and required fields. DataLiftor's requirement-first approach is intended to avoid forcing a narrow campaign into a generic dataset; the final scope should be confirmed before delivery.”
“Yes. Multiple filters can be combined when they help define a useful segment—for example, a selected business category in a target region with contacts from particular departments or seniority levels. More constraints can make the audience more focused, though available volume and fields will vary.”
“Yes. Campaign goals help determine which audience and fields are relevant. DataLiftor can use the brief to shape the contacts and company attributes around the planned sales, marketing, partner, research, or market-development activity.”
“Yes. A specific niche or campaign can be used as the starting point for list design. Describe who qualifies, which companies or roles matter, where they should be located, and what information the team needs to use the data.”
“A targeted technology-user email list can support audience segmentation, outbound marketing, demand generation, product or service introductions, and other B2B campaign planning. The data provides a starting audience; message relevance, permission requirements, timing, and campaign execution still influence results.”
“Sales teams can use structured records to identify relevant organizations and contacts, organize territory coverage, and prioritize outreach. Including the criteria behind the audience can reduce the need to manually sort unrelated records, but the sales team should still qualify each opportunity.”
“Businesses typically obtain targeted contact data from specialist B2B data providers. DataLiftor prepares custom prospect lists around the audience, market, and fields defined by the buyer, with sample review available to assess the proposed structure before scale.”
“Pricing depends on the audience size, geography, targeting complexity, required fields, and degree of customization. The useful starting point is a clear brief that describes who should be included and what data is required, rather than choosing by record count alone.”
“B2B contact data is commonly delivered in structured formats such as Excel or CSV, depending on the agreed workflow. Confirm your required format, field names, and any import constraints during scoping so the file is practical for your team.”
“The answer depends on where the sender and recipient are located, the type of information, the source, and how it will be used. Buyers should assess applicable privacy and electronic-marketing rules and their own policies before using any technology-user email list for outreach.”
“It may support recruitment-related business outreach, specialist service promotion, partnership development, or other professional campaigns depending on the audience and intended use. The list should be scoped to the actual goal, and any legal or platform requirements for the campaign should be checked.”
Technology-focused prospect data can help teams identify businesses associated with relevant platforms and the roles that influence evaluation, adoption, or purchasing. By combining the technology brief with company, function, seniority, and geographic criteria, DataLiftor helps build a more structured audience for technology sales and market research.
A list based only on a technology label can be difficult to interpret if company fit, contact roles, and the strength of the technology association are unclear. DataLiftor combines the available technology context with company and professional criteria so teams can make better-informed account selections without assuming that every employee is a confirmed platform user.
| Generic Technology Data | DataLiftor Technology Data |
|---|---|
| An association may not show why the company is relevant to your offer. | Specify categories, platforms, company types, roles, and markets. |
| Company technology signals can be mistaken for individual usage claims. | Review available technology association with company and industry attributes. |
| Few fields distinguish industry, size, or operating environment. | Do not treat company association as proof of individual use. |
| A company match may not identify the functions involved in evaluation. | Add IT, operations, finance, sales, HR, or technical roles as needed. |
| Teams need to check whether technologies and roles fit the campaign. | Start with defined criteria and review the sample fields. |
| Generic datasets may not match the target tech category or market. | Support focused technology sales, market research, and partnerships. |
Click any specialty below to see its sub-specialty breakdown with verified global counts. Filter further to reach the exact decision-makers at hospitals, academic medical centers, and private practices worldwide.
| Sub-Specialty | Global Count | Sub-Specialty | Global Count |
|---|---|---|---|
| Interventional Cardiology | 78K | Electrophysiology | 32K |
| Cardiac Surgery | 55K | Heart Failure | 28K |
| Pediatric Cardiology | 18K | Nuclear Cardiology | 14K |
| Vascular Medicine | 25K | Cardiac Imaging | 19K |
| Preventive Cardiology | 12K | Cardiac Rehab | 8K |
| Cardiothoracic Surgery | 22K | Adult Congenital | 11K |
| Cardio-Oncology | 9K | Women's Heart Health | 7K |
| Sports Cardiology | 6K | Cardiac Genetics | 5K |
Define the technology categories and company context you need, identify relevant stakeholder roles, and review the proposed scope with DataLiftor. The final list uses the available company and contact attributes agreed for the request; company-level technology association should not be read as proof of individual use.
Share technology categories, platform associations, company profile, stakeholder roles, geography, and required fields.
Use your criteria to assemble a company and contact audience relevant to the technology brief.
Review technology context, stakeholder fields, and available data limitations against your use case.
Receive the agreed dataset in a structure ready for review and use in your prospecting workflow.
DataLiftor supports businesses seeking a more structured view of companies associated with relevant technology categories and the people whose roles fit the offering. Clear criteria help tie technology context to account selection without overstating what a company-level signal proves about an individual.
Tell us about your target audience and campaign goals. We’ll build a custom list that matches your exact requirements and budget.
Technology-associated contact data can help teams identify relevant accounts, understand business context, and plan outreach to stakeholders with suitable responsibilities. These are common objectives rather than guaranteed outcomes; results depend on fit, how technology associations are interpreted, and campaign execution.
“Identify companies associated with relevant technology categories.”
Find answers about technographic data, technology categories, company-level associations, stakeholder roles, customization, samples, quality review, pricing, delivery, and responsible use. These details help you assess whether the available technology context fits your target-market and prospecting needs.
A technology-user email list is a structured set of B2B contact data designed around businesses associated with specific technologies and the professional roles relevant to those systems. It helps teams define a more relevant audience for business outreach and prospecting.
Depending on the request, records may include contact name, job title, company, function or department, business email, phone, website, industry, location, and other relevant attributes. The final fields depend on the audience and market.
You can target companies associated with relevant business technologies and their professional contacts, with the audience narrowed by criteria relevant to technology category, company context, relevant roles, industry, and geography. Available fields vary by segment and should be confirmed during scoping.
Yes. You can request a targeted audience shaped around the criteria relevant to your campaign rather than selecting a broad list that may include unrelated contacts.
Yes. DataLiftor can use your audience definition, market, filters, and required fields to scope a custom list around your ideal customer profile.
DataLiftor applies data-quality checks and combines AI-assisted validation with human review to help identify inconsistent or mismatched records. Quality may vary by audience and market, so reviewing a relevant sample is recommended.
Review can cover the key contact fields and the attributes that define the target audience. Where technology associations or other specialized fields are involved, confirm whether the data represents a company-level signal or a verified individual attribute.
Yes. A sample lets you assess available fields, audience fit, and record structure before moving to a larger dataset. Can I target technology category, company context, relevant roles, industry, and geography by location and other criteria? Yes. Depending on the audience, you can combine geographic filters with criteria such as technology category, company context, relevant roles, industry, and geography. Available location detail can vary by market.
Share the audience, market, criteria, exclusions, and data fields you need. DataLiftor can then scope the proposed technology-user email list around those requirements for review and delivery.
