The Scenario
You are a demand-generation manager. The Mailchimp import is scheduled for Thursday morning. You have a Google Sheet with 3,000 email addresses collected from a recent webinar registration form.
The form had no validation. People typed fast. "gmial.com," "ynadex.ru," "company@disposablemail.net." Your last import had a 12% bounce rate that tanked the domain reputation for two weeks.
The bad version of this week:
- Export the list and run it through an email verification tool
- Get a result file back in a different format
- Match it to the original sheet by email address
- Manually flag the disposable addresses because the tool does not classify them the same way Mailchimp does
- Import, watch 240 rows get rejected on arrival because the tool and Mailchimp disagree on what "invalid" means
The fast version is one prompt and the clean list is ready in the sheet.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads the email column, calls DaData's email cleaner for every row, and writes the corrected email and classification back without leaving the sheet.
Open the SheetXAI sidebar and type:
For each email address in column A of my sheet, use DaData to validate and correct it. Write the corrected email into column B. Write the DaData classification — Personal, Corporate, or Disposable — into column C. If DaData cannot fix the email and it remains invalid, write "INVALID" in column B and leave column C blank.
SheetXAI reads column A, calls DaData's email validation endpoint for each row, and writes two columns back. You get a corrected email list with explicit disposable and invalid flags, ready to filter before import.
What You Get
Two new columns filled across all 3,000 rows:
- Column B — DaData-corrected email address, or "INVALID" if it cannot be fixed
- Column C — classification: Personal, Corporate, or Disposable
Disposable addresses are labeled, not silently dropped. You decide whether to suppress them or move them to a separate nurture segment, rather than having your sending platform make that call at import time.
What If the Data Is Not Quite Ready
Webinar registration data has patterns DaData's raw output does not always handle cleanly. SheetXAI handles them in the same prompt.
When some emails are in mixed case from the form
The form preserved case from the user's input — "John.Smith@GMAIL.COM" — and your CRM treats case-variant emails as duplicates.
For each email in column A, normalize to lowercase before passing to DaData. Write the corrected lowercase email into column B and the classification into column C.
When you want a single import-ready column instead of two separate columns
Your Mailchimp import template expects one column with only the clean, non-disposable emails.
For each email in column A, use DaData to validate and fix it. If the result is Personal or Corporate, write the corrected email into column B. If it is Disposable or INVALID, write "SUPPRESS" into column B. Then filter column B to show only rows without "SUPPRESS" so the import file is ready to copy.
When you need to deduplicate after cleaning
Multiple registrants used different casings or typos of the same email address. After cleaning, duplicates will appear.
For each email in column A, use DaData to validate and correct it, writing the result to column B. Then identify any duplicate corrected emails in column B and write "DUPLICATE" next to the second and subsequent occurrences in column C.
When you want the full pipeline: clean list plus a deliverability summary for the VP
You need the corrected columns and a summary so the VP of Marketing can approve the send with confidence.
For all 3,000 emails in column A, use DaData to validate and correct them into column B and classify into column C. Then write a summary below: total emails processed, number of corrected emails (different from original), number of INVALID results, number of Disposable results, and the estimated sendable list size (Personal + Corporate only).
The pattern: the cleaning and the deliverability summary come from the same prompt. The VP approves the send and the import file is already filtered.
Try It
Get the 7-day free trial of SheetXAI and open any sheet with an email list, then ask it to validate and classify the addresses using DaData. The DaData integration is included in every SheetXAI plan. For related workflows, see how to normalize Russian phone numbers or the DaData in Google Sheets overview.