The Scenario
You are the sales ops coordinator at a 20-person agency, and you just got back from a trade show with a Google Sheet of 300 new leads — Last Name, Email, Phone, Company, all in columns A through D. The outreach sprint starts Monday. It is Thursday afternoon.
Someone from the sales team has already asked you twice when the leads will be in Bigin.
The bad version:
- Open Bigin's Contacts import wizard, download the template, and reformat your sheet to match its column headers — which are not the same as yours.
- Upload the CSV, work through the import error report (three rows with missing last names, two with malformed phone numbers), and fix them manually.
- Spot-check ten records in Bigin to confirm the company field landed in the right place and not in the Notes column.
That is two hours of work before a single outreach email goes out. And if the import wizard throws a field-type error on phone numbers — which it often does when area codes are formatted with dashes instead of dots — you are back to square one.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your sheet structure, understands which columns hold which data, and talks to Zoho Bigin's Contacts API on your behalf. You do not configure a mapping template. You just ask.
Import every row in this sheet as a new Contact in Zoho Bigin — use Last_Name from column A, email from column B, phone from column C, and company from column D; write the returned record ID into column E
What You Get
- 300 new Contact records created in the Bigin Contacts module, each with the correct field values from your sheet.
- Bigin's returned record ID written into column E for every row — useful for follow-up automation, tagging, or lookups.
- Any rows that fail (blank Last_Name, duplicate email) are flagged in column E with an error message rather than silently skipped.
What If the Data Is Not Quite Ready
Phone numbers are inconsistently formatted
Import all rows in this sheet to Bigin Contacts — before creating each record, strip any non-numeric characters from the Phone column (C) so the values are digits only; write record IDs into column E
Some rows are missing a company name
Import every row in this sheet to Bigin Contacts — skip any row where column D (company) is blank and write SKIPPED in column E for those rows; create records for all others and write the Bigin ID into column E
Leads came in from two separate sheets
Combine the rows from the "Day 1" and "Day 2" tabs, then import each unique email as a new Bigin Contact using Last_Name (column A), Email (column B), Phone (column C), and Company (column D); write record IDs into column E of the "Day 1" tab and note cross-tab imports in column F
Full cleanup plus import in one shot
In column B, trim whitespace and lowercase all email addresses. In column C, remove all non-digit characters. Skip any row where column A (Last_Name) is blank. Import the cleaned rows to Bigin Contacts using A, B, C, D. Write the returned record ID or error into column E.
One prompt handles the normalization and the import together — you review the results in column E rather than running a separate cleanup pass first.
Try It
Get the 7-day free trial of SheetXAI and open your trade show lead sheet, then ask SheetXAI to push all 300 rows to Bigin Contacts. If you also manage pipeline records, check out the spoke on bulk-creating pipeline deals.