The Scenario
Your marketing ops lead handed you a purchased list — 800 email addresses from a trade show badge scan — and said "clean it before you upload it to the ESP." You've heard what high bounce rates do to sender reputation. You don't want to find out personally.
The list is in an Excel workbook, column A. You have until end of day.
The bad version:
- Export the workbook to CSV, upload it to a verification tool, wait for the run, download the results, map the columns back to your original workbook, merge the two files.
- Or: paste each address into Hunter's verifier one by one, copy the result, paste it into the workbook.
- 800 rows. At 30 seconds per row the manual route takes most of the day.
You're supposed to be thinking about the campaign, not the data hygiene.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your column structure and through its Hunter integration it can verify every email in column A in bulk, writing deliverability status and risk metadata back to the correct columns without you touching a single row.
For each email in column B, run Hunter's email verifier and update column C with the verification status — mark as 'VALID', 'RISKY', 'INVALID', or 'UNKNOWN' — and add the full result detail to column D.
What You Get
- Column C: deliverability status for each address — VALID, RISKY, INVALID, or UNKNOWN.
- Column D: full result detail including score, risk flags (disposable domain, catch-all server, role-based address), and any error notes.
- The full run completes across all 800 rows without row-by-row intervention.
What If the Data Is Not Quite Ready
You want to filter and mark rows with conditional formatting
You need INVALID and RISKY rows highlighted before you hand this off to the campaign manager.
Verify every email in column A using Hunter and write status to column B and flags to column C. Then apply conditional formatting: red fill for INVALID and RISKY rows, yellow fill for UNKNOWN, green fill for VALID.
Some addresses have extra whitespace or inconsistent formatting
The badge scan data is messy — trailing spaces, all-caps, double dots in the local part.
Before verifying, clean every email address in column A: trim whitespace, lowercase the entire address, and fix obvious formatting issues. Write the cleaned address to column B, then verify column B with Hunter. Write status to column C and flags to column D.
You only want to include addresses above a certain score threshold
Your ESP has a strict bounce rate tolerance. You want to know what score cutoff keeps you inside the acceptable range.
Verify all emails in column A using Hunter. Write status to column B and score to column C. Add a column D that marks each row "INCLUDE" if the score is 80 or above and "EXCLUDE" if below. Write a summary to cell F1 showing how many rows are in each bucket.
You want cleanup + verification + segmentation in one shot
Your campaign manager needs a decision-ready output: cleaned addresses, verification status, risk category, and a recommended action — all formatted, nothing left to interpret.
Clean every email in column A (trim, lowercase, fix formatting), then verify each cleaned address with Hunter. Write cleaned email to column B, status to column C, score to column D, risk flags to column E, and a recommended action to column F: "SEND" for VALID above 75, "MANUAL REVIEW" for RISKY or UNKNOWN, "REMOVE" for INVALID.
Running the full pipeline in a single prompt means the output goes straight to the campaign manager without a second pass.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook where column A holds a list of email addresses you need verified before a campaign send. Ask SheetXAI to run Hunter's verifier across all of them and label the results. See also bulk email lookup from a prospect list or return to the Hunter overview.