The Scenario
You are a call center operations lead. The dialer import is scheduled for 8 AM tomorrow. You have an Excel sheet with 4,000 phone numbers collected from a lead capture campaign — web forms, PDF uploads, and a call-in registration line.
The dialer rejects any number not in +7XXXXXXXXXX format. Last week's import had 680 rejections — numbers with 8 instead of +7, with spaces and brackets, with local five-digit formats that were never expanded. The team spent three hours that morning fixing them manually.
The bad version of tonight:
- Write a regex to normalize the most common formats
- Find 14 edge cases the regex cannot handle
- Fix them by hand
- Re-import, find 31 more rejections
- Fix those
- Get to 8:15 AM with 22 rows still marked INVALID in the dialer.
The fast version is one prompt and the normalized column is ready before you leave the office.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads the phone column, calls DaData's phone cleaning endpoint for every row, and writes the normalized E.164 number and phone type back.
Open the SheetXAI sidebar and type:
For each phone number in column A of my sheet, use DaData to normalize it to +7XXXXXXXXXX format and write the result into column B. Write the phone type — mobile, landline, or other — into column C. If DaData cannot parse the number, write "INVALID" in column B and "UNKNOWN" in column C.
SheetXAI reads column A, calls DaData's phone cleaner for each row, and writes two columns back. All 4,000 numbers, normalized and classified, ready for the morning import.
What You Get
Two new columns across all 4,000 rows:
- Column B — phone number in +7XXXXXXXXXX format, or "INVALID" if unparseable
- Column C — phone type: mobile, landline, or other
Phone type classification lets you route the dialer. Mobile numbers go to the autodial queue. Landlines get routed to the manual dial queue where an agent has to initiate. INVALID rows go to a re-contact queue for a different channel. All three lists come from one prompt.
What If the Data Is Not Quite Ready
Lead capture phone data has patterns beyond simple format variation. SheetXAI handles them in the same prompt.
When some numbers already look correct
A subset of numbers were imported from a verified source and are already in +7XXXXXXXXXX format. Re-normalizing them wastes API calls.
For each phone in column A, check if it already matches +7XXXXXXXXXX format exactly. If yes, copy it as-is to column B and write "ALREADY CLEAN" in column C. If not, use DaData to normalize it and write the result and phone type to columns B and C.
When you need to suppress landlines entirely from the import file
The campaign is mobile-only. Landlines must not enter the dialer queue.
For each phone in column A, use DaData to normalize it into column B and write the phone type into column C. In column D, write "SUPPRESS" if the phone type is landline or INVALID. Write "INCLUDE" if it is mobile. Then add a filter to show only INCLUDE rows so the import file is ready to copy.
When numbers were entered with Kazakhstan or Belarus country codes
Some registrants entered +7 numbers for Kazakhstan or Belarusian +375 numbers. You need to separate Russian mobile from international.
For each phone in column A, use DaData to normalize it. If the result is a Russian +7 mobile number, write it into column B and "RU MOBILE" into column C. If the normalized number appears to be Kazakhstan (+7 KZ range), write "KZ — ROUTE SEPARATELY" in column C. If it is any other international format, write "INTERNATIONAL" in column C.
When you need the normalized list plus a quality report before the operations review
The operations director wants to sign off on the import file quality before the dialer loads it.
Normalize all 4,000 phone numbers in column A using DaData and write results to column B, phone type to column C. Then write a summary below: total processed, number of valid Russian mobile numbers, number of landlines, number of INVALID results, and the percentage of the list that is dialable today.
The pattern: the normalization and the operations summary come from the same prompt. The dialer import and the director sign-off both happen before 8 AM.
Try It
Get the 7-day free trial of SheetXAI and open any sheet with phone numbers in mixed formats, then ask it to normalize them using DaData. The DaData integration is included in every SheetXAI plan. For related workflows, see how to clean and classify an email list with DaData or the DaData in Google Sheets overview.