The Scenario
You're the product manager running the re-engagement campaign. Someone on the growth team asked which Sendbird users haven't been active in 60 days — they want to target that segment with push notifications. The data they need is in Sendbird: user_id, nickname, last-seen timestamp, and whether the account is still active. Getting it out is your problem.
You have never exported a user list from Sendbird before.
The bad version:
- Ask the backend team if there's a Sendbird user export endpoint — get back "yes but it's paginated, you'd need to handle pagination, there are 500 users, you'd need multiple calls"
- Spend an afternoon learning how to make paginated API calls, write results to a CSV, import into Excel
- Finish the export, discover the last_seen_at field is in epoch milliseconds and now you have to convert 500 values before the workbook is usable
The growth team needs this segmented list before their campaign brief is due. The brief is due tomorrow.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It connects to Sendbird through its built-in integration, handles pagination automatically, and writes the full user list into your workbook — no API scripting, no CSV importing, no epoch conversion.
Export all Sendbird users to this Excel workbook — user_id, nickname, is_active, and creation date — pulling paginated results until all users are listed
What You Get
- All 500 users written into the workbook in one operation — pagination handled automatically
- Columns populated exactly as specified: user_id, nickname, is_active, creation date
- The workbook is ready to filter immediately — sort by last-seen date to find the oldest accounts
- No API scripting, no CSV imports, no intermediate steps
What If the Data Is Not Quite Ready
You also need the last_seen_at timestamp per user
Export all Sendbird users to this Excel workbook — user_id, nickname, is_active, last_seen_at, and creation date — pulling all paginated results
You only want users who haven't been seen in more than 60 days
List all Sendbird users, and for each user where the last_seen_at timestamp is more than 60 days ago from today, write their user_id, nickname, and last seen timestamp into columns A, B, and C — skip any users whose last seen is within the last 60 days
You want to join the Sendbird data with a CRM worksheet that has email addresses
Export all Sendbird users (user_id, nickname, last_seen_at) into the SendbirdUsers worksheet — then look up the email address for each user_id from the CRM worksheet (user_id in column A, email in column B) and write the matched email into column D, leaving it blank where no match is found
Full re-engagement prep in one shot: export, filter dormant users, flag for campaign
Export all Sendbird users and write user_id, nickname, last_seen_at, and is_active into columns A through D — then in column E, write "DORMANT" for any user where last_seen_at is more than 60 days ago, and "ACTIVE" for all others
One prompt, your re-engagement segment built and flagged.
Try It
Get the 7-day free trial of SheetXAI and open a blank Excel workbook, then ask it to pull your full Sendbird user list with last-seen timestamps ready for segmentation. Also see: Export Sendbird Message History Into an Excel workbook for Compliance and the Sendbird integration overview.