Stop waiting on engineering for a one-line answer.

Marketing operations is half about asking the right question and half about getting an answer in less than a week. Engineering can pull a daily-signups query for you — and you can also run it yourself in twenty seconds, on a CSV they already dropped in shared storage. That is the unlock. The terminal is not about becoming technical; it is about cutting your dependency cycle from days to minutes, on the questions that drive what you ship next.

It is also the shortest path to readable analytics. Web logs, ad-platform exports, CRM dumps — they all arrive as files. A few commands and you can answer what is bouncing, what is converting, and what the campaign actually moved. The course does not assume you know awk; it teaches you the one or two patterns marketers actually use, then sends you back to your real work armed with them.

1. 01

   Find the top referring URLs from an access log

   $ awk '{print $11}' access.log | sort | uniq -c | sort -rn | head
      1247 "https://twitter.com/i/web/status/..."
       812 "https://news.ycombinator.com/"
       603 "https://google.com/search?q=..."

   The classic top-N pipeline. Extract column eleven (the referrer), count occurrences, sort by count descending, take the top ten. One line replaces half an hour in a BI tool, and it works on any log format once you know the column.

2. 02

   Dedupe a mailing-list export

   $ wc -l raw-list.csv
   4812 raw-list.csv
   $ sort -u raw-list.csv > clean-list.csv
   $ wc -l clean-list.csv
   4203 clean-list.csv

   sort -u removes duplicate rows. Save to a new file (always — never overwrite a source). Six hundred and nine dupes gone. Re-upload the clean file and the sequence sends what it was supposed to send.

3. 03

   Batch-resize hero images for the web

   $ for f in *.png; do magick "$f" -resize 1200x "${f%.png}-web.png"; done
   $ ls *-web.png
   hero-web.png  product-web.png  testimonial-web.png

   ImageMagick's magick command (or sips on macOS) resizes in place. The loop runs through every PNG and writes a -web variant — same pattern you would use for a thumbnail batch or a social-card set.

4. 04

   Confirm a campaign UTM is firing

   $ grep "utm_campaign=spring-launch" access.log | wc -l
   1842
   $ grep "utm_campaign=spring-launch" access.log | tail -3
   2026-05-11 11:14 GET /signup?utm_campaign=spring-launch

   First command counts hits, second shows the last three. Within a minute you know whether the campaign tag is wiring through and what the most recent landings look like — without waiting on the analytics dashboard to refresh.

5. 05

   Pull a quick daily traffic breakdown

   $ awk '{print $1}' access.log | sort | uniq -c
      23018 2026-05-08
      19422 2026-05-09
      41187 2026-05-10

   Same pattern as the referrer query — extract, sort, count. Now you have a daily series you can paste into a slide or a Slack post, with no detour through anyone else.

By the time you finish the course, you will be able to:

1. 01Build a top-10 referrer or top-10 anything in one line.
2. 02Clean and dedupe a CSV without opening Excel.
3. 03Batch-resize, rename, or convert a folder of creative.
4. 04Confirm a UTM is firing without waiting on analytics.
5. 05Stop blocking on engineering for one-line questions.

• 5.4Pipes
• 6.1grep basics
• 6.3Counting and slicing
• 6.5The classic top-10 pipeline

The first lesson takes about five minutes and runs entirely in your browser. No install, no signup, nothing to break. You will close the tab knowing where you are, what a command looks like, and what to read next.

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