The Scenario
You are a call center operations lead. The dialer import is scheduled for 8 AM tomorrow. You have an Excel workbook with 4,000 phone numbers on the Leads tab 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. The team spent three hours fixing them manually that morning.
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
- 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 Excel workbook that reads the phone column on the Leads tab, 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 the Leads tab, 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 of the Leads tab, 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 of the Leads tab:
- 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 go to manual dial. INVALID rows go to a re-contact queue for a different channel.
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 were imported from a verified source and are already in +7XXXXXXXXXX format.
For each phone in column A of the Leads tab, 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
The campaign is mobile-only. Landlines must not enter the dialer queue.
For each phone in column A of the Leads tab, 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 filter column D to show only INCLUDE rows so the import file is ready to copy.
When numbers were entered with Kazakhstan country codes
Some registrants entered +7 KZ numbers. You need to separate Russian mobile from KZ numbers.
For each phone in column A of the Leads tab, 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 a Kazakhstan +7 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 phones in column A of the Leads tab using DaData and write results to column B, phone type to column C. Then create a new sheet called "Dialer Quality Report" with: 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.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook 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 in Excel or the DaData in Excel overview.