The Scenario
You are three hours into a deliverability review that was supposed to take one.
Your e-commerce company sent 40,000 transactional emails last month — order confirmations, shipping updates, password resets — and your delivery rate dropped two points compared to the prior month. Your head of growth wants a breakdown by recipient domain before the end of the day. You have MailerSend. You know the data is in there. Getting it into the Google Sheet where you are doing the analysis is the part that is eating your morning.
The bad version:
- Open the MailerSend dashboard, navigate to message activity, filter by date range, wait for the export to generate, download a CSV that arrives with columns in an order that matches nothing in your sheet.
- Open the CSV in a new tab, manually map recipient email and delivery status to columns A and B, realize the timestamp column came in as a raw Unix integer, spend 20 minutes writing a formula to convert it.
- Repeat the export with a bounced filter, discover the bounce reason is buried in a nested field that the CSV export simply omits, go back to the API docs to figure out what you actually have access to.
The deliverability review is supposed to be the work. The data retrieval is supposed to be the setup — not the three-hour detour that swallows your analysis window.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It connects directly to MailerSend and can pull message log data into your sheet on demand, without a CSV, without an export queue, without any column-mapping configuration.
Pull all sent messages from MailerSend and write recipient email, subject, delivery status, and timestamp into columns A through D of this sheet
What You Get
- Column A: recipient email address for each message in the log
- Column B: subject line as sent
- Column C: delivery status (delivered, bounced, soft_bounced, spam_complaint, unsubscribed)
- Column D: sent timestamp formatted as a readable date-time string
- Rows with missing status fields are flagged with a note rather than dropped silently
What If the Data Is Not Quite Ready
The timestamps are raw integers and you need date grouping
Pull all MailerSend messages into columns A through D with recipient email, subject, delivery status, and sent timestamp, then add a formula in column E that converts column D to a readable date and a formula in column F that extracts just the month-year for grouping
You only want bounced messages and you need the bounce reason
Get all MailerSend messages with status bounced and write recipient email, sending domain, the bounce error code, and the full error reason into columns A through D of this sheet
You want to cross-reference against a suppression list in column G
Pull all MailerSend messages with status delivered into columns A through C with recipient email, subject, and timestamp, then in column D write TRUE for any recipient email that also appears in column G of this sheet
Full kill chain: pull, flag problem domains, and write a summary row
Get all MailerSend messages from the last 30 days, write recipient email, sending domain, and delivery status into columns A through C, flag rows in column D where the sending domain has more than 5 bounces, and write a summary in row 1 showing total messages, total bounces, and the three domains with the most bounce events
The underlying pattern is that cleanup, filtering, and analysis are all part of the same prompt — you do not need to pull the data first and layer in logic afterward.
Try It
Open a Google Sheet where you track email delivery or run deliverability reviews, then Get the 7-day free trial of SheetXAI and ask it to pull your MailerSend message log directly into the sheet. You can also look at how to audit your sending domains or review sender identities once the message data is in place.