The Scenario
You run community for a developer tools startup. Your beta launched three months ago with 500 early signups. The emails are all in column A of your BetaUsers sheet — that's the whole dataset. Your growth lead just asked you to build a targeted Twitter engagement list so the company can follow active developers, retweet their builds, and quietly build pre-launch social proof. The problem: you have no idea which of your 500 beta users are active on Twitter, or what their handles are.
The bad version:
- Search each email in Twitter's search bar, hope the account is findable that way, copy the handle into column B — most searches return nothing useful because Twitter doesn't index by email
- Cross-reference your email list against your company's Twitter followers manually — tedious, error-prone, and only catches people who already follow you
- Ask your developer to write a script using the Twitter API and Datagma together, which requires OAuth, rate limit handling, and at least a few hours you'd both rather spend elsewhere
Your community strategy meeting is tomorrow morning and you told the growth lead you'd have a starter list.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the BetaUsers sheet, understands the layout, and through its built-in Datagma integration it calls the email-to-Twitter lookup endpoint for each row and writes the matched handle into column B. No API wiring, no script, no manual search.
For every email in column A of the BetaUsers sheet, use Datagma to look up the associated Twitter username and write it into column B, leaving blank where no match is found
What You Get
- Column B: Twitter username (without the @ symbol, or with — whichever format Datagma returns) for each email where a match was found
- Rows where Datagma found no Twitter account are left blank, not filled with placeholder data — so your engagement list only contains handles you can actually use
- The result is importable directly into a Twitter list manager or social scheduling tool
What If the Data Is Not Quite Ready
The email list has duplicates from multiple signup sources
Your beta signup form ran across two channels and you have around 60 duplicate emails. You don't want to look up the same person twice.
Deduplicate column A by email address, then use Datagma to look up the Twitter username for each unique email and write it into column B
You want to only surface handles with public accounts
Some lookups will return a handle that belongs to a private or suspended account. Before you build a follow list, you want to filter those out.
Look up Twitter handles for all emails in column A using Datagma, write handles into column B, then add a note in column C for any handle that appears to belong to a private or inactive account based on Datagma's confidence signal
You want to enrich further with account-level data
Your growth lead also wants to know follower count and whether the account has been active in the last 30 days before you add them to the engagement list.
For each email in column A, use Datagma to find the associated Twitter handle and write it into column B, then enrich each found handle with follower count into column C and flag in column D if the account appears inactive
Full dedup, lookup, and engagement-ready export in one pass
You have duplicate emails, you want only verified active accounts, and you need the final output in a clean tab your growth lead can import.
Deduplicate column A, run Datagma email-to-Twitter lookup for each unique address, write handles into column B, flag rows where no match was found or the account appears inactive, then copy only the rows with confirmed handles into a new tab called 'TwitterEngagementList'
Try It
If your user email list is sitting in Google Sheets with no social data attached, open it and get the 7-day free trial of SheetXAI. Ask it to map your emails to Twitter handles using Datagma and you'll have an engagement-ready list without leaving the sheet. For related workflows, see bulk-enrich a lead list or detect job changes.