The Scenario
It is 4 PM on a Thursday and the call center director just Slacked you: the list goes out at 8 AM tomorrow. You have an Excel workbook with 1,000 inbound leads — name, phone, and email per row — and not a single column has been validated. The vendor who enriched the list two months ago used a different schema. Some phones are in (555) format. Some emails look like they were typed on a phone. The zip codes worksheet has five-digit and nine-digit entries mixed together.
The call center can not use a list where half the phones might be disconnected and a third of the emails bounce. They need carrier type, email deliverability status, and USPS-verified city and state before 8 AM.
The bad version:
- Export the phone column as a CSV, upload it to Data247's phone validation portal, download the results, and try to paste carrier type back into column D without misaligning rows.
- Repeat for the email column in a separate session, then again for the zip column with the address verification tool.
- Reconcile three separate result files against the original workbook, discovering at 11 PM that the address results came back in a different row order.
The call center director expects a clean list. You do not have until 11 PM to get there.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. It reads the data, understands the column structure, and uses its Data247 integration to run all three lookups in a single operation — no exporting, no portal sessions, no result file reconciliation.
Enrich all 1,000 lead rows in my Excel sheet with Data247 — phone in column B, email in column C — add columns for phone type, email status, and whether the phone is wireless or landline
What You Get
- Phone type column: carrier category for each phone (Wireless, Landline, VoIP)
- Email status column: Valid or Invalid for each email address
- Wireless flag column: Mobile or Landline for each phone number
- Rows where a lookup failed or returned no data get a blank or an error note in the relevant cell, so you know which records need manual review
What If the Data Is Not Quite Ready
Phone numbers are in mixed formats
Before running Data247 validation, normalize all phone numbers in column B — strip parentheses, dashes, and spaces — then validate each one and write carrier type into column D
Some email rows are blank
Validate phones in column B for all 1,000 rows, but only check emails in column C where the cell is not empty. Write carrier type in column D and email status in column E. Leave column E blank where column C was empty.
Zip codes and addresses are split across multiple columns
The address data in my workbook has street in column D, city in column E, state in column F, and zip in column G. Use Data247 to verify the full address for each row and write the USPS-corrected zip+4 into column H and the valid/invalid flag into column I.
Validate, flag problems, and write a priority score in one shot
Validate phones in column B and emails in column C using Data247. Write carrier type in column D and email status in column E. Then add a Priority column in column F: 'High' if the phone is Wireless and the email is Valid, 'Medium' if one of the two is valid, 'Low' if both are invalid or missing.
Combining the validation and the scoring logic in a single prompt means one operation instead of two.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a contact list that needs pre-campaign validation, then ask it to run phone, email, and address checks across every row using Data247. Then check out the carrier lookup spoke or the DNC scrub spoke for what to do after validation.