The Scenario
You are a list manager. One of your BigMailer brands has 500 contacts and deliverability has been sliding. The likely culprits are contacts who have never opened a single email. You need to identify them so you can remove them before the next send.
BigMailer's UI shows you contacts and some engagement data, but exporting that data for analysis, filtering by open count, and making a removal decision requires either a manual export or a script.
The slow version:
- Export contacts from BigMailer as a CSV
- Open it in a spreadsheet
- Find the open count column
- Filter for zero opens
- Cross-check against click count
- Decide who to remove
- Go back into BigMailer and delete them or move them to a suppression list
- Two hours later you have a slightly cleaner list and no audit trail.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI pulls the contact engagement data from BigMailer directly into your sheet, so you can analyze and act on it without a manual export.
Open the SheetXAI sidebar and type:
Fetch all contacts from BigMailer brand 'abc' and write their email, open count, click count, and list membership into my sheet — one row per contact. When done, highlight rows in red where the contact has zero opens and zero clicks across all campaigns.
SheetXAI fetches the contacts, writes them into the sheet with the engagement columns, and applies conditional formatting to flag the zero-engagement rows in red.
What You Get
A fully populated sheet with one row per contact and engagement data ready to act on:
- Email — column A
- Open count — column B
- Click count — column C
- List membership — column D
- Red highlighting — any row where both open count and click count are zero
You see the problem contacts immediately. You do not have to set up a filter. You do not have to open BigMailer's contact view. The red rows are the contacts you need to decide about.
If you want to remove the red rows from BigMailer in the same session, tell SheetXAI to suppress or delete the highlighted contacts and it does that too.
What If the Data Is Not Quite Ready
Contact engagement data sometimes needs extra context before a removal decision makes sense. SheetXAI handles the analysis in the same prompt.
When you want to filter by signup date before flagging inactive contacts
Contacts who signed up last month with zero opens are not necessarily dead — they just have not had many chances. You only want to flag contacts older than 90 days.
Fetch all contacts from BigMailer brand 'abc' with their email, signup date, open count, and click count. Write them into the sheet. Flag in column E any contacts where signup date is more than 90 days ago AND both open count and click count are zero.
When you want to segment the inactive contacts by list before deciding
The brand has three lists and the removal policy differs by list — newsletter contacts get removed, transactional contacts do not.
Fetch all contacts from BigMailer brand 'abc' with their email, open count, click count, and list membership. Write them into the sheet. In column F, write 'REMOVE CANDIDATE' for contacts on the Newsletter list with zero opens and zero clicks. Write 'KEEP' for contacts on the Transactional list regardless of engagement.
When you want to act on the findings in the same prompt
You do not want to review and take a second step. If a contact has zero opens and zero clicks and is older than 180 days, remove them from the list now.
Fetch all contacts from BigMailer brand 'abc'. Write their email, signup date, open count, and click count into the sheet. For any contact where signup date is more than 180 days ago and both open count and click count are zero, remove them from the brand. Write a summary: how many contacts fetched, how many removed, how many kept.
When the full hygiene chain runs across multiple brands
You manage four brands and need to run the same hygiene analysis on all of them before this quarter's campaigns go out.
For each brand ID in column A of the Brands tab, fetch all contacts with their email, open count, click count, and signup date. Write all contacts into a sheet tab named after the brand ID. Flag contacts older than 90 days with zero opens and zero clicks. After all brands are done, write a summary tab called 'Hygiene Summary' with brand ID, total contacts, and inactive contact count per brand.
The pattern: pull the data, flag the problems, and optionally act on them — all in one prompt, without a single manual export.
Try It
Get the 7-day free trial of SheetXAI and open a blank sheet, then ask it to fetch your BigMailer contacts and flag the inactive ones. The BigMailer integration is included in every SheetXAI plan. See also how to upload a suppression list or the BigMailer in Google Sheets overview.