Cleaning & Verifying Job Function Email Lists
Posted: Mon May 19, 2025 8:53 am
1. Remove Invalid and Hard Bounce Emails
Use email validation tools to detect:
Syntax errors (e.g., missing “@” or invalid domains).
Non-existent domains or emails.
Hard bounces from previous campaigns.
Remove or quarantine Gemini Database these addresses immediately.
2. Eliminate Role-Based and Generic Emails (When Not Relevant)
Role-based emails like info@, sales@, or support@ often lower engagement.
Unless your campaign targets such generic addresses, consider excluding them.
3. Detect and Remove Duplicate Contacts
Check for exact and fuzzy duplicates.
Merge duplicates by selecting the most up-to-date or complete record.
4. Validate Job Function Accuracy
Cross-check job function data against reliable sources like LinkedIn or company websites.
Correct outdated or misclassified job functions to improve targeting relevance.
5. Filter Out Unengaged Contacts
Identify contacts who haven’t opened or clicked emails over a significant period (e.g., 6-12 months).
Re-engage with a win-back campaign or remove them to keep your list healthy.
6. Check for Spam Traps and Blacklist Hits
Use specialized services to identify spam traps or addresses flagged by ISPs.
Removing these helps avoid deliverability issues.
7. Use Real-Time Email Verification APIs
For new sign-ups or list acquisitions, validate emails instantly.
This prevents adding bad addresses to your database.
8. Segment and Prioritize by Engagement Level
Create segments such as highly engaged, moderately engaged, and inactive.
Tailor your campaigns and cleaning efforts accordingly.
9. Update Contact Information Regularly
Enrich your data with updated job functions and contact details from trusted providers.
Automate regular data refresh cycles.
10. Maintain Compliance
Ensure all contacts meet consent and privacy regulations.
Remove unsubscribes, complaints, and those who opted out.
Summary Checklist
Cleaning Step Tools & Tips
Remove invalid emails Use tools like ZeroBounce, NeverBounce
Eliminate generic/role emails Filter by common prefixes
Remove duplicates Deduplication features in CRMs or tools
Verify job function accuracy Cross-reference LinkedIn, Clearbit, ZoomInfo
Filter unengaged contacts Use email marketing platform engagement data
Identify spam traps Use services like Return Path, 250ok
Real-time verification Use API integrations during sign-up
Segment by engagement Prioritize outreach to active contacts
Update and enrich data Schedule regular data audits
Ensure compliance Respect opt-outs, maintain records
Use email validation tools to detect:
Syntax errors (e.g., missing “@” or invalid domains).
Non-existent domains or emails.
Hard bounces from previous campaigns.
Remove or quarantine Gemini Database these addresses immediately.
2. Eliminate Role-Based and Generic Emails (When Not Relevant)
Role-based emails like info@, sales@, or support@ often lower engagement.
Unless your campaign targets such generic addresses, consider excluding them.
3. Detect and Remove Duplicate Contacts
Check for exact and fuzzy duplicates.
Merge duplicates by selecting the most up-to-date or complete record.
4. Validate Job Function Accuracy
Cross-check job function data against reliable sources like LinkedIn or company websites.
Correct outdated or misclassified job functions to improve targeting relevance.
5. Filter Out Unengaged Contacts
Identify contacts who haven’t opened or clicked emails over a significant period (e.g., 6-12 months).
Re-engage with a win-back campaign or remove them to keep your list healthy.
6. Check for Spam Traps and Blacklist Hits
Use specialized services to identify spam traps or addresses flagged by ISPs.
Removing these helps avoid deliverability issues.
7. Use Real-Time Email Verification APIs
For new sign-ups or list acquisitions, validate emails instantly.
This prevents adding bad addresses to your database.
8. Segment and Prioritize by Engagement Level
Create segments such as highly engaged, moderately engaged, and inactive.
Tailor your campaigns and cleaning efforts accordingly.
9. Update Contact Information Regularly
Enrich your data with updated job functions and contact details from trusted providers.
Automate regular data refresh cycles.
10. Maintain Compliance
Ensure all contacts meet consent and privacy regulations.
Remove unsubscribes, complaints, and those who opted out.
Summary Checklist
Cleaning Step Tools & Tips
Remove invalid emails Use tools like ZeroBounce, NeverBounce
Eliminate generic/role emails Filter by common prefixes
Remove duplicates Deduplication features in CRMs or tools
Verify job function accuracy Cross-reference LinkedIn, Clearbit, ZoomInfo
Filter unengaged contacts Use email marketing platform engagement data
Identify spam traps Use services like Return Path, 250ok
Real-time verification Use API integrations during sign-up
Segment by engagement Prioritize outreach to active contacts
Update and enrich data Schedule regular data audits
Ensure compliance Respect opt-outs, maintain records