The Scenario
You are a lead quality manager. The call center pays per hour and the list quality directly affects whether they hit their contact rate. You have a Google Sheet with 2,000 inbound phone leads collected over the past three weeks from web forms, and you have a nagging sense that some of them are not real.
Your head of operations asked you last week why the contact rate is down. You do not have a clean answer yet. But you do have the sheet, and you have a hunch that flagging the obviously bad numbers before they go to the dialer would move the number.
The bad version:
- Look up each phone in Data247's TRUST_PHONE tool one at a time, note the risk level and reason, paste them into columns B and C of your sheet.
- After two hours, you have cleared 90 rows. The list has 2,000.
- Realize that the "reason" field sometimes comes back as a short code and sometimes as a full description, and you will need to normalize it before the call center can use the column as a filter.
There is no version of this manual process that finishes before the list goes out.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads column A, runs Data247 TRUST_PHONE on every number, and writes the risk level and reason back into columns B and C — the full 2,000-row sheet in one operation, no normalization needed.
For each phone number in column A of my sheet, use Data247 TRUST_PHONE to check its spam risk and write the risk level — Low, Medium, or High — into column B along with the reason in column C
What You Get
- Column B: risk level for each phone (Low, Medium, or High)
- Column C: reason for the risk classification — category of complaint, registry flag, or pattern indicator
- Rows where Data247 returns no risk data get "Low" or a blank, depending on whether the number simply has no history or is absent from the database
- The sheet stays in its original order so you can filter by column B without losing the row reference
What If the Data Is Not Quite Ready
You want to highlight High-risk rows visually
For each phone in column A, run Data247 TRUST_PHONE and write risk level in column B and reason in column C. Then highlight all rows where column B is 'High' in red.
Some phone numbers are duplicates and should only be screened once
Deduplicate column A before running the spam risk check. Run Data247 TRUST_PHONE on the unique numbers, write risk in column B and reason in column C, then remove the duplicate rows.
You want only the Low-risk rows in a separate sheet for handoff
Run Data247 TRUST_PHONE on all 2,000 phones in column A. Write risk level in column B and reason in column C. Copy rows where column B is 'Low' to a new sheet called "Clean List."
Deduplicate, screen, segment, and summarize in one shot
Deduplicate phones in column A. Run Data247 TRUST_PHONE on each unique number. Write risk level in column B and reason in column C. Copy Low-risk rows to a sheet called "Clean List" and High-risk rows to "Flagged." Add a summary row at the bottom of each sheet showing the count.
One prompt takes you from a raw lead list to two segmented, counted sheets ready for the call center and compliance review.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with inbound phone leads you want to quality-screen, then ask it to run Data247 TRUST_PHONE across every row and write back the spam risk level. See also the DNC scrub spoke for the compliance check that runs alongside this one before any campaign goes out.