Instantly CSV export with source review
Export email-bearing rows, map names and business fields, and keep evidence separately. Public email discovery and sending-platform import are separate from deliverability verification.
OwnerClue · Updated
Columns and missing rows
| Column | Value |
|---|---|
| Preferred public email; rows without it are skipped | |
| firstName, lastName | Split from a supported person name; blank if missing |
| companyName, phone, website | Business context |
| location, linkedin | Additional Maps-export context when available |
The domain template has the first six columns only. Its rows must also be successful; review/failed rows are skipped. A name supported as founder or president is still that published role, not proof of current ownership. Never invent a name to fill a personalization variable.
Download the illustrative Instantly CSV. It shows format and blanks, not a completed live import.
Import and retain provenance
- Review website and mailbox association before exporting.
- Save full CSV with the email source and capture time.
- Upload the Instantly CSV and map the email/name/business fields.
- Map any additional facts as custom variables only after reviewing them.
- Inspect preview, missing values and the receiving account's duplicate controls.
Instantly's official CSV guide explains its field mapping and custom variables. OwnerClue has no native Instantly push or cross-campaign deduplication.
Before sending
OwnerClue does not currently verify mailbox delivery. If your workflow requires verification, take the exported email column through your chosen independent validator, retain its provider/status/verified_at results, and join them back by email. Keep a separate suppression list and use your sending platform's controls. An imported row alone does not establish consent or delivery.
Dedicated CSV leaves out the full provenance columns; archive full CSV or prepare source URL/time custom columns yourself. The current product does not maintain those fields in Instantly automatically. Data sources explains the association labels.