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 an Excel workbook 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 in Excel, discover the column headers use Enginemailer's internal names ("rcpt_date," "dlv_status"), rename them in a separate worksheet, 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 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 Excel workbook. It connects to Enginemailer directly and writes the transactional data into the workbook — no CSV downloads, no column renaming, no pagination.
Export the Enginemailer transactional email report for the last 60 days and write every row into this Excel sheet with columns for send date, recipient email, subject line, delivery status, opens, and clicks.
What You Get
- Every transactional send from the last 60 days written into your workbook, one row per email — send date, recipient, subject line, delivery status, opens, and clicks.
- 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.
- Data is live, not a cached export from two days ago.
What If the Data Is Not Quite Ready
You want opens and clicks expressed as rates, not raw counts
Pull the Enginemailer transactional report for the last 60 days into my Excel 'Email Performance' sheet with columns for send 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
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 Excel 'Email Performance' sheet with columns for date, recipient, subject, status, opens, and clicks.
You want to flag recipient domains with a bounce rate above 10%
Fetch all Enginemailer transactional sends from the past 60 days into my workbook. Then add a separate worksheet 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 my 'Email Performance' worksheet with human-readable headers. Calculate open and click rates per row. Add a 'Bounce Flags' worksheet 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, calculation, and flagging as three separate sessions.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook 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.