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Find CRM Contacts Who Switched Jobs

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When to use

• Quarterly CRM hygiene — catch contacts who left their companies
• Win-back campaigns — re-engage churned contacts at their new companies
• Pipeline reactivation — find champions who moved to new accounts

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How to run it

/deepline-gtm Pull my HubSpot contacts, check which ones changed companies, find their new work emails, update HubSpot with the changes, and add job changers to my Instantly re-engagement campaign

# 1. Enrich current company info (pilot on 2 rows)
deepline enrich --input crm_contacts.csv --output job_changes.csv --rows 0:2 \
  --with '{"alias":"current_info","tool":"crustdata_enrich_contact","payload":{"email":"{{email}}"}}'

# 2. Flag changers (compare enriched vs stored company)
deepline enrich --csv job_changes.csv --in-place \
  --with '{"alias":"job_changed","tool":"run_javascript","payload":{"code":"const current = (row.current_info_company || \"\").toLowerCase(); const stored = (row.company || \"\").toLowerCase(); return current && stored && current !== stored ? \"YES\" : \"NO\""}}'

# 3. Find new emails for job changers
deepline enrich --csv job_changes.csv --in-place \
  --with '{"alias":"new_email","tool":"name_and_domain_to_email_waterfall","payload":{"first_name":"{{first_name}}","last_name":"{{last_name}}","domain":"{{current_info_domain}}"}}'

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Key rules

• Pilot first. Always test on 2 rows before running 1000+ contacts.
• LinkedIn URLs improve accuracy. If your CRM has them, use crustdata_person_enrichment with LinkedIn URL for best results.
• Data freshness. PDL/Crustdata data can be 1-3 months stale — cross-reference with LinkedIn for high-value contacts.
• Batch size. For large lists (1000+), process in batches of 200-500.

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Why this matters

• 30% of B2B contacts switch jobs every year (Cognism)
• At 2.1% monthly data decay, a 10K-contact CRM loses ~210 valid emails per month (SMARTe)
• Past champions convert at 3x the rate of cold prospects (UserGems)
• The first seller to contact after a trigger event is 5x more likely to win (Autobound)

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Common pitfalls