What is Human-Verified Data?
Short Description:
Contact or company information manually checked and validated by real people for accuracy and currency.
Expanded Description:
Human-verified data represents the gold standard in contact database quality, involving manual review and validation of each data point by experienced researchers rather than relying solely on automated scraping or algorithmic processes. This verification process includes confirming current employment status, validating email addresses through multiple methods, checking recent job changes, verifying company information, and ensuring compliance with data protection regulations. Human verification significantly reduces bounce rates, improves deliverability scores, enhances sender reputation, and increases the likelihood of successful outreach by ensuring contacts are current, relevant, and accurately represented.
Human Verification Process:
- Source Verification: Cross-reference multiple data sources for accuracy
- Employment Confirmation: Verify current job title and company through LinkedIn, company websites, and professional networks
- Email Validation: Test email deliverability and format accuracy
- Contact Enrichment: Add missing data points and update outdated information
- Compliance Check: Ensure adherence to GDPR, CAN-SPAM, and other regulations
- Quality Scoring: Rate each contact based on verification confidence level
Advantages Over Automated Methods:
- Higher Accuracy: Humans can interpret context and nuance that algorithms miss
- Real-Time Updates: Ability to catch recent job changes and company updates
- Quality Context: Understanding of role responsibilities and decision-making authority
- Compliance Awareness: Knowledge of legal requirements and best practices
- Custom Validation: Ability to verify specific client requirements and preferences
Quality Metrics:
- Bounce Rate: Typically <2% for human-verified lists vs. 10-20% for scraped data
- Deliverability: Higher inbox placement rates and sender reputation scores
- Engagement: Improved open and response rates due to accurate targeting
- Compliance: Reduced risk of spam complaints and regulatory issues
Example:
Instead of relying on AI to guess an email format like [email protected], a researcher from Accurate List locates the contact on LinkedIn, confirms their current role and responsibilities, identifies their correct email through corporate directory research, validates deliverability through multiple verification methods, and cross-references the information with recent company announcements before adding it to your list with a confidence score and verification date.