How to validate current employment across multiple company entities?

Employment Validation Strategies

Recommended Approach

• Transition from manual company name verification to using LinkedIn identifiers
• Use unique LinkedIn profile links for more reliable employee verification
• Cross-reference professional network identifiers for more accurate employment confirmation

Key Benefits

• More standardized verification method
• Reduces manual lookup errors
• Provides a consistent digital reference point for employment validation

Employment Validation Challenges

Data Source Reliability

• Attempted validation using company identifiers like:
  • Website URLs
  • LinkedIn URLs
• Found significant data discrepancies:
  • Approximately 33% variance between Clay and Zoominfo

Current Limitations

• Clay job change signals:
  • High rate of false positives
  • Unreliable for precise employment verification

Key Observations

• Data collection tools are generally good at initial data retrieval
• Maintaining and updating data remains a significant challenge
• No definitive solution identified for cross-entity employment validation

Recommended Next Steps

• Compare multiple data vendors
• Cross-reference employment data
• Develop robust verification methodology

Employment Validation Strategy for Multi-Entity Companies

Recommended Approach

• Use LinkedIn data enrichment to pull:
  • Current company
  • Employment dates
• Implement fuzzy matching logic on:
  • Company names
  • Company domains

Implementation Method

1. Map LinkedIn data to Salesforce
2. Create validation rules to handle:
   • Internal company moves
   • Preventing incorrect employment status changes

Key Tools

• Clay platform recommended for data mapping
• Flexible matching algorithms to track employment across complex corporate structures

Best Practices

• Avoid strict exact-match criteria
• Prioritize contextual company relationship tracking