Import contacts from Google Sheets into GoHighLevel

Decide whether you are creating or updating

A list of new leads and a list of corrections to existing customers should not be treated as the same operation. Mark which outcome you intend before uploading anything. For an existing-record update, keep the CRM record ID wherever you already have it.

If your spreadsheet has no reliable relationship to the target account, resolve that first. A name that looks familiar is not sufficient evidence that two rows refer to the same person. Keep an untouched copy of the original sheet while preparing the import.

Prepare one clean import tab

Use one row of column headers and one row per intended contact. Remove presentation totals, merged headings, commentary rows, and duplicate copies. Give each selected custom field its own column. Review phone formatting, email spelling, date interpretation, and empty values before exporting the tab.

Google Sheets workbooks can contain several tabs, but the native contact import accepts a CSV file. Export only the intended tab. Check that your chosen account has the custom fields you want to populate before mapping the file.

Run the native CSV workflow

1. Download the prepared tab as a CSV file.
2. Open GoHighLevel’s contact import and select the intended record types and create/update behavior.
3. Upload the file and map its columns.
4. Review matching and empty-value settings.
5. Confirm the import and inspect the job’s results and errors.

Use the provider’s current import guide for account permissions and file limits. Do not assume a successful file upload means that every row was accepted.

Inspect outcomes at record level

Check a small set of accepted records in the CRM, not just the job’s summary count. Confirm that values landed on the intended fields and that blank cells did not erase values you meant to preserve. Keep any error output and resolve the cause before trying the same rows again.

Re-running an import is another operation. Know which rows were already created or updated before retrying. This matters especially when a spreadsheet mixes new contacts with corrections to existing records.

Example: split a mixed preparation sheet

Suppose a tab contains 40 new leads and 10 corrections to existing customers. Treat them as two intentional groups while preparing the file. New leads need the agreed matching strategy; corrections should retain the target account’s existing IDs whenever available.

For a correction, write a small expected-outcome checklist: contact-example-01 should keep its current email, receive the intended owner change, and retain an untouched custom field. After the job, inspect that exact record and compare those outcomes. An aggregate count of 50 processed rows cannot establish that every field changed correctly.

These IDs are invented. Do not paste them into a real import. The useful artifact is the checklist: target record, proposed fields, expected unchanged fields, and the result that the provider actually accepted.

Use reviewed updates for an established worksheet relationship

LC Bridge’s sample journey starts with records already associated with their CRM IDs. You edit eligible worksheet fields, open Preview changes, inspect Export Preview, and explicitly confirm the proposed updates. The website does not promise general new-contact creation through that reviewed-update journey.

For new contacts, the native CSV workflow remains a useful method. For recurring analysis and controlled edits to an existing dataset, inspect the LC Bridge previews and request early access. Keeping the two jobs distinct makes both workflows easier to verify.