The Scenario
Your client's quarterly review is Friday. They want a deliverability report covering the last 60 days of transactional sends — sent date, recipient, subject line, delivery status, opens, clicks. You need it in a spreadsheet so you can build pivot tables, calculate open rates by subject line, and flag any bounce clusters before you walk into that meeting.
The bad version:
- Log into Enginemailer, find the transactional reports section, set the date range, wait for the CSV to generate, download it.
- Open the CSV, discover the column headers use Enginemailer's internal names ("rcpt_date," "dlv_status") instead of anything readable, rename them in a separate tab, delete the columns you don't need.
- Realize the CSV capped at 1,000 rows and your client sent 4,800 emails over 60 days — so you repeat the export for each month, combine the files, deduplicate the header row, and start building the actual analysis from scratch.
The data exists. It's in Enginemailer right now. The three-step export loop is just friction between you and the analysis your client is actually paying for.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It connects to Enginemailer directly and writes the transactional data into the sheet — no CSV downloads, no column renaming, no pagination gymnastics.
Pull the Enginemailer CSV report for the past two months, paste all data rows into my 'Email Performance' Google Sheet, and add a summary row at the top with totals for sent, opened, clicked, and bounced.
What You Get
- Every transactional send from the last 60 days written into your 'Email Performance' sheet, one row per email — sent date, recipient, subject line, delivery status, opens, and clicks.
- A summary row at the top with aggregate totals for sent, opened, clicked, and bounced — so your headline numbers are ready before you touch the data.
- Human-readable column headers rather than Enginemailer's internal field keys.
- No row cap workaround — SheetXAI handles pagination and writes everything in a single pass.
What If the Data Is Not Quite Ready
You want opens and clicks expressed as rates, not raw counts
The raw numbers are useful, but your client expects open rate and click rate percentages in the report.
Pull the Enginemailer transactional report for the last 60 days into my 'Email Performance' sheet with columns for sent date, recipient, subject, status, opens, and clicks. Add columns G and H for open rate and click rate as percentages, calculated per row.
The report needs to be filtered to a specific sending domain
Your client has multiple sending domains in the same Enginemailer account and only wants data for one.
Export the Enginemailer transactional report for the last 60 days, filter to rows where the sender domain is 'mail.clientdomain.com', and write the results into my 'Email Performance' sheet with columns for date, recipient, subject, status, opens, and clicks.
You want to flag any recipient email domains with a bounce rate above 10%
Before the meeting you want to surface any domains causing deliverability problems.
Fetch all Enginemailer transactional sends from the past 60 days into my sheet. Then add a separate tab called 'Bounce Flags' listing each recipient domain, its total sends, total bounces, and bounce rate — highlight any domain where bounce rate exceeds 10%.
Pull the report, calculate rates, flag bounce clusters, and format for a client deck in one pass
Import 60 days of Enginemailer transactional data into 'Email Performance' with human-readable headers. Calculate open and click rates per row. Add a 'Bounce Flags' tab with bounce rate by recipient domain, highlighted where rate exceeds 10%. Add a summary row at the top of 'Email Performance' with overall totals.
Asking for the analysis inside the same prompt means you're not running the export, then the calculation, then the flagging as three separate sessions.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where you're building your deliverability report — then ask it to pull the transactional data and add the summary row. For related tasks, see Pull Unsubscribe Events or the Enginemailer hub overview.