The Scenario
There's a master list of 1,200 phone numbers in a Google Sheet — collected over eighteen months from landing pages, events, and partner referrals. Somewhere along the way, contacts were supposed to be added to 2Chat as they came in. But the person who owned that process left two months ago, and nobody knows exactly which numbers actually made it in. The compliance review is next Tuesday, and auditors want to see that your WhatsApp contact records are complete.
The bad version:
- Open 2Chat, search for phone numbers from the sheet one at a time, note which ones don't appear.
- After 50 lookups, your browser tab has been open for 40 minutes and you're on row 50 of 1,200.
- Try to export the 2Chat contacts and do a VLOOKUP — realize the phone formats don't match (sheet has US numbers without country code, 2Chat stores them as +1XXXXXXXXXX), and the formula returns false negatives.
The audit is Tuesday. You have a full week of other work ahead of you. The reconciliation has to happen, but it can't eat the next two days.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It pulls your 2Chat contact list, compares it against the phone numbers in your sheet, and flags the gaps — no manual searching, no formatting mismatch.
Compare all the phone numbers in column A of this sheet against my 2Chat contacts. Normalize both sides to E.164 before comparing. Write "in 2Chat" in column B for numbers that match, and "missing" for numbers with no match. Add a count of missing entries at the top of column D.
What You Get
- Column B updated for every row in the sheet: "in 2Chat" for matches, "missing" for gaps.
- Phone number normalization applied before comparison, so +12025551234 and 2025551234 are treated as the same number.
- A count of missing entries written to D1 so you know the scope immediately.
- No silent false negatives from format mismatches.
What If the Data Is Not Quite Ready
The sheet has numbers in multiple formats (some with country codes, some without)
Before comparing, normalize all numbers in column A to E.164 — assume US numbers for any entry that doesn't already have a country code. Then compare against 2Chat and write results to column B.
I want missing numbers grouped by source campaign
My sheet has a campaign source in column B and phone numbers in column A. After reconciling against 2Chat, group the missing numbers by their source in column C and write a summary table to a "Gaps by Campaign" tab showing how many are missing per campaign.
I want to pull the 2Chat contact data for the matches and write it alongside the sheet
Pull all my 2Chat contacts. For rows in column A that match a 2Chat contact, write the contact's full name in column C and creation date in column D. For non-matches, leave C and D blank and flag column B as "missing."
Full audit: normalize, reconcile, enrich matches, surface gaps, and count by source
Normalize all phone numbers in column A to E.164. Pull all 2Chat contacts. For matching rows, write the 2Chat name to column C and creation date to column D, and mark column B as "confirmed." For missing rows, mark column B as "not in 2Chat." Then build a summary table in the "Audit" tab showing confirmed count, missing count, and a breakdown of missing entries by the source campaign in column E.
One prompt. Audit-ready output without touching a single row by hand.
Try It
Get the 7-day free trial of SheetXAI and open the master phone list you need to reconcile, then ask it to compare your sheet against your 2Chat contacts. Related workflows: Export Your 2Chat Contacts Into a Google Sheet and the 2Chat integration overview.