The Scenario
Your sales ops team ran an enrichment tool over the weekend. The result is a Google Sheet with 200 rows: person_id and updated phone number, updated email address, and in some cases new custom field values for the Pipedrive records that came back with richer data. The updates need to go back into Pipedrive before Monday's outreach starts.
You have updated Pipedrive records in bulk before. The last time you tried to use Pipedrive's import wizard for updates, you discovered it only supports creating new records — updating existing ones requires the API. You ended up doing it in a Make flow that someone else built, which broke on row 50 because the phone number format in the sheet had spaces and Pipedrive wanted dashes.
The bad version:
- You hand the sheet to the person who built the Make flow, who is on a different time zone and won't be available until Tuesday
- You try to clean the phone number formatting yourself with a formula, but there are three different formats in the sheet and you get one of them wrong
- You run the flow Tuesday morning with the partially cleaned data and 40 rows fail silently
Wednesday you are still chasing down which 40 records didn't update.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads the person IDs and updated field values and writes them back to Pipedrive directly — normalizing the phone format as part of the operation if you ask it to.
For each row in the EnrichedContacts sheet (columns: person_id, email, phone), update the Pipedrive person record with the new values and write the update status into column D.
What You Get
- Every person record in Pipedrive updated with the enriched email and phone values from the sheet
- SUCCESS written into column D for each row that completes
- ERROR written for any row where the person_id is not found or the update fails — with enough detail to know whether the issue is a missing record or a formatting rejection
- The sheet becomes the update audit log — no separate tracking needed
What If the Data Is Not Quite Ready
The phone numbers are in inconsistent formats and need to be normalized first
Clean the phone values in column C by removing spaces and formatting them as +1XXXXXXXXXX. Then update each Pipedrive person record using the cleaned phone and the email in column B. Write the normalized phone into column E and the update status into column D.
Some rows have organization updates, not person updates
For each row in OrgUpdates (columns: org_id, new_address, new_owner_id), update the Pipedrive organization with the new address and owner. Write SUCCESS or ERROR into column D.
You want to skip rows where the email in the sheet matches what is already in Pipedrive — only update if there is a change
For each row in EnrichedContacts, fetch the current email for the person in column A from Pipedrive. If the email in column B matches what is already there, write NO CHANGE in column D and skip the update. If the email is different, update it and write UPDATED in column D.
You need the email update, phone update, a custom field update, and a note added to each record documenting the enrichment source
For each row in EnrichedContacts (columns: person_id, email, phone, custom_field_value, enrichment_source): update the Pipedrive person email, phone, and the custom field Industry Segment with the value in column D. Then add a note to the person record saying Updated from [enrichment_source] on [today's date]. Write the update status into column E and note_id into column F.
The pattern: normalize, update, and document the source in one prompt so the enrichment is traceable and complete when it lands.
Try It
After your next enrichment run, Get the 7-day free trial of SheetXAI and ask it to write the updated values back to Pipedrive with a status logged per row. See the spoke on exporting contacts for a data audit if you want to pull the records back out afterward to verify the updates landed correctly.