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LinkedIn to Hashed Email & MAID back to library
~ / library / Identity Resolution / linkedin-to-hashed-email-&-maid

LinkedIn to Hashed Email & MAID

Map LinkedIn profiles to personal hashed emails and mobile advertising IDs (MAIDs) for omnichannel targeting and identity graph enrichment.
  • Build a cross-channel identity graph from these emails - give me hashed emails and MAIDs
  • Turn these LinkedIn profiles into a multi-channel ad audience for Meta and programmatic

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.

Two distinct outputs come off each LinkedIn profile, each on its own path.

Chain

LinkedIn URL
  ├── linkedin_to_sha256                 (LinkedIn to SHA-256 + MD5 hashes - upload directly to ad platforms)
  └── linkedin_to_best_personal_email    (LinkedIn to a plaintext email)
        to email_to_maid                 (plaintext email to MAIDs / device IDs)

linkedin_to_sha256 produces hashed emails you upload directly to ad platforms - they are an output, not an input. email_to_maid takes a plaintext email, so MAIDs require resolving a real email from the profile first.

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

LinkedIn URL SHA-256 Hash MD5 Hash Personal Email MAID(s)
Profiles processed:  X
Hashes resolved:     X  (XX%)
Emails resolved:     X  (XX%)
MAIDs found:         X  (XX%)
Credits used:        ~XXX

Tips

  • Expected match rates: hashes ~50–70% of LinkedIn profiles, personal email ~50–70%, MAIDs from email ~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
01 Download the .moltsets skill file below
02 Open Claude and go to Settings to Skills
03 Click Add skill and select the downloaded file
04 Open a new chat in Claude
05 Prompt Claude using one of the example prompts or use your own
// difficultyAdvanced
// connectionCSV, Google Sheets, Excel
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