What this skill does

Maps LinkedIn B2B profiles to device-level advertising IDs (MAIDs) and personal hashed emails (MD5/SHA-256). Built for AdTech, programmatic advertising, and data partnerships where you need to bridge B2B identity to device-level targeting.

This is a multi-round sequential chain — each step feeds the next.

Chain

LinkedIn URL(s)
  → linkedin_to_hashed_emails        (LinkedIn → personal MD5 hashes)
  → hem_to_maid                      (MD5 → MAIDs / device IDs)    ─┐ parallel
  → hem_to_email                     (MD5 → plaintext email, opt.) ─┘

Use cases

• Upload MAIDs to DSP/DMP for programmatic audience targeting
• Match B2B profiles to mobile devices for cross-device campaigns
• Build SHA-256 hashed audience lists for Meta or Google Custom Audiences
• Identity resolution for data clean rooms

Output

Profiles processed:  X
HEMs resolved:       X  (XX%)
MAIDs found:         X  (XX%)
Personal emails:     X  (XX%)
Credits used:        ~XXX

Tips

• Expected match rates: HEMs ~50–70% of LinkedIn profiles, MAIDs from HEM ~30–60%
• Multiple MAIDs per profile (multi-device) are included in output with IDFA vs GAID type noted
• A mandatory credit check runs before the chain starts — estimated 2–4 credits per profile on full hits
• You are responsible for lawful use of MAIDs and hashed PII under GDPR, CCPA, and platform policies