300k Healthcare Email Leads Needed usa
Budget: $250 – $750 USD
I need a clean, fully verified list of 300,000 email addresses from companies operating in the healthcare sector. The contacts must hold senior financial or operational positions—specifically CEOs, CFOs, Controllers, Finance Managers, Accounts Payable leads, COOs, or Office Managers.
Your approach should rely on primary data taken directly from company websites. I’m not looking for lists patched together from generic databases; I want fresh, on-domain addresses that will pass any standard email verification test (NeverBounce, ZeroBounce, Kickbox, etc.).
Deliverables
• CSV or Excel file containing: company name, contact name, job title, corporate email, website URL, phone (if visible), city, state/country
• 300,000 unique rows, no duplicates
• Bounce rate under 5 % when spot-checked through a verification tool I choose
Acceptance criteria
– Random 1,000-record sample must achieve 95 %+ deliverability
– All titles match the roles listed above
– Data was sourced solely from company websites; I’ll ask for two URLs as proof for any record I flag
If you already have proven scraping or data-mining workflows for large-scale projects and can hit these quality marks, let’s discuss timeline and milestones.
Your approach should rely on primary data taken directly from company websites. I’m not looking for lists patched together from generic databases; I want fresh, on-domain addresses that will pass any standard email verification test (NeverBounce, ZeroBounce, Kickbox, etc.).
Deliverables
• CSV or Excel file containing: company name, contact name, job title, corporate email, website URL, phone (if visible), city, state/country
• 300,000 unique rows, no duplicates
• Bounce rate under 5 % when spot-checked through a verification tool I choose
Acceptance criteria
– Random 1,000-record sample must achieve 95 %+ deliverability
– All titles match the roles listed above
– Data was sourced solely from company websites; I’ll ask for two URLs as proof for any record I flag
If you already have proven scraping or data-mining workflows for large-scale projects and can hit these quality marks, let’s discuss timeline and milestones.
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