The Scenario
You spent three days at a trade show. You came back with a stack of badge-scanned business cards and an Excel workbook someone assembled from the lead retrieval app export — 200 rows, manually typed and auto-populated, which means some of the email addresses look fine and some of them are obviously wrong. "jsmith@companay.com" is in row 47. "n/a" is in row 83.
Your CRM has a duplicate threshold. If you import a batch with more than a handful of bouncing addresses, the import validation flags the whole file and support asks you to re-submit. You've been through that once already this quarter.
The bad version:
- Go through the 200 rows by hand looking for obvious typos — catch maybe 30 of the real problems, miss the ones that look plausible
- Export to CSV, upload to NeverBounce's bulk interface, wait for the job, download the result, match it back to your workbook
- Re-check that the statuses are aligned before importing to Salesforce
You're supposed to be entering these leads into the CRM this afternoon so the sales team can start follow-up. The manual cleanup is eating the window.
The time you'd spend formatting a CSV and reconciling the result is time the sales team is waiting.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your prospect list and through its NeverBounce integration it can run single-check verification on every email address in the workbook, writing the result and flags directly into adjacent columns.
For each email in column A (rows 2 to 201) of the "Trade Show Leads" worksheet, use NeverBounce single-check to verify deliverability and write the result (valid/invalid/catchall/unknown) in column B and the free_email flag in column C
What You Get
- Column B filled with the NeverBounce status for each address
- Column C filled with the free_email flag — useful for distinguishing personal Gmail addresses from business domains
- The original workbook untouched except for those two new columns, ready to filter and import
What If the Data Is Not Quite Ready
The email column has obvious formatting errors that would fail the API call
Scan column A for emails missing "@" or with obvious formatting problems, mark those rows "format_error" in column B, then run NeverBounce single-check on the remaining valid-format emails and write their statuses into column B as well
You only want to keep the rows where status is "valid"
Verify all emails in column A using NeverBounce single-check, write statuses into column B, then filter the workbook to show only rows where column B is "valid" and put the final count in cell D1
The workbook has a company domain column and you want to cross-reference it
Run NeverBounce single-check on each email in column A, write status into column B, then for any row where the status is "catchall," add a note in column D saying "verify against domain in column C"
Full pre-import chain: clean, verify, filter, count, summarize
Trim and lowercase every email in column A, skip rows where the cell is blank or missing "@", run NeverBounce single-check on the remaining addresses, write status into column B and free_email into column C, delete all rows where status is "invalid," and write a summary in row 1 showing total verified, total valid, total removed
The point: you can describe the cleanup logic and the verification together. SheetXAI handles the sequence without requiring you to split it into separate passes.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook from your next trade show, conference, or webinar sign-up. Ask it to run NeverBounce single-check on column A and write statuses into column B. See the bulk verification spoke for larger lists, or return to the NeverBounce hub.