Use Prime-DB search/count first to scope segments efficiently, then run finder/verifier steps only on shortlisted records. Prefer companyDomains over companyNames, split multi-word keywords into separate tokens, and use broad jobTitles plus seniority instead of exact-title matching.
Use Prime-DB search/count first to scope segments efficiently, then run finder/verifier steps only on shortlisted records. Prefer companyDomains over companyNames, split multi-word keywords into separate tokens, and use broad jobTitles plus seniority instead of exact-title matching.
Use Prime-DB search/count first to scope segments efficiently, then run finder/verifier steps only on shortlisted records. Prefer companyDomains over companyNames, split multi-word keywords into separate tokens, and use broad jobTitles plus seniority instead of exact-title matching.
DropLeads is wired into Deepline. Run any of its actions from the CLI or as a column step in an enrichment spreadsheet.
Quick start
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=dropleads_bulk_people_enrichment:{"details":"{{details}}"}' --jsonUse Prime-DB search/count first to scope segments efficiently, then run finder/verifier steps only on shortlisted records. Prefer companyDomains over companyNames, split multi-word keywords into separate tokens, and use broad jobTitles plus seniority instead of exact-title matching.
DropLeads is tracked for Use Prime-DB search/count first to scope segments efficiently, then run finder/verifier steps only on shortlisted records. Prefer companyDomains over companyNames, split multi-word keywords into separate tokens, and use broad jobTitles plus seniority instead of exact-title matching.
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