The Scenario
It's the last week of the quarter and your head of marketing has asked for a comparison of how the last eight email campaigns performed — open rate, click rate, delivery rate, all in one table, ready for the quarterly marketing review deck by Thursday.
The campaign IDs are already in a Google Sheet in column A. You know they're in Sender. Getting the data out means logging into the Sender dashboard, opening each campaign, writing down the stats, pasting them into the sheet, and repeating seven more times.
The bad version:
- Open Sender, click into campaign one, screenshot the stats panel, switch back to the sheet, type in the numbers, and realize you entered the delivery rate in the click rate column.
- Repeat for eight campaigns, make at least two transcription errors, and spend the last ten minutes before the meeting correcting them because someone noticed the numbers didn't match the dashboard.
- Get asked to add unsubscribe counts after the table is already built, and go back through all eight campaigns a second time.
The stats exist. The campaign IDs exist. You should not be doing this by hand.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your column of campaign IDs, calls the Sender API for each one, and writes the stats back into the sheet — all from a single prompt.
Fetch details for each Sender campaign ID in column A and write the campaign name, sent count, delivery rate, open rate, and click rate into columns B through F.
SheetXAI processes each ID sequentially, retrieves the campaign record from Sender, and fills each metric into its designated column. When the last row is done, you have a complete comparison table without touching a single dashboard.
What You Get
- Columns B through F fill with campaign name, sent count, delivery rate, open rate, and click rate for each ID in column A.
- Rows where the campaign ID is invalid or the campaign no longer exists get an error note in the first open column so you can identify gaps without hunting.
- The table is ready to sort, filter, or hand off as-is — no reformatting needed.
- The stats reflect the current state of each campaign at the moment you ran the prompt.
What If the Data Is Not Quite Ready
You also want to highlight the best-performing campaign
Fetch stats for each campaign ID in column A and write the name, open rate, click rate, and delivery rate into columns B through E, then highlight the row with the highest open rate in green and add a note in column F: "best open rate."
Some campaign IDs in column A are missing — you need to find them from a campaign name list
For each campaign name in column A, look up the matching campaign ID in Sender, write the ID into column B, and then fetch the open rate, click rate, and sent count into columns C through E.
You need click-to-open rate calculated alongside the raw stats
Fetch open rate and click rate from Sender for each campaign ID in column A (columns B and C), then calculate the click-to-open rate (clicks divided by opens) and write it into column D, formatted as a percentage.
The full kill chain — clean the ID list, pull stats, rank, and flag underperformers
In the Campaigns tab, remove any rows in column A where the value is blank or not a number, then fetch name, sent count, delivery rate, open rate, and click rate from Sender for each remaining campaign ID and write them into columns B through F. Sort the rows by open rate descending, add a rank number in column G, and flag any campaign with an open rate below 15% by writing "under threshold" in column H.
When the stat you need and the conditional logic are wrapped in one prompt, you get the finished view — not a first draft you have to format.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet with your Sender campaign IDs, then ask it to pull stats for all of them in one pass. See also: Sync custom field values back into Sender and the Sender integration hub.