Course overview
Start hereAI for Marketing Automation Specialists
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Priya's Wednesday, two ways

8 lessons · 29 prompts

A day in the life of a Marketing Automation Specialist: what changes with these prompts.

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Priya, a marketing automation specialist at a mid-sized software company.

It is Wednesday morning and Priya has a nurture sequence due for the webinar list, a lead scoring model nobody has documented, and a broken sync between the CRM and the email platform. Before, she would open a blank document and start typing subject lines.

She opens ChatGPT and uses the email campaign drafting prompt, pasting in the webinar topic, the audience of trial users, and a note that the tone should be friendly but not chatty. The draft comes back with three subject lines and a short body. She keeps one subject line, rewrites the opening, and moves on.

Next she uses the lead scoring setup prompt in Claude, describing which actions matter most to the sales team: demo requests, pricing page visits, and repeat email clicks. It returns a points table she can edit, and she pastes it into the shared doc the sales team has been asking for since spring.

After lunch she uses the tool integration and troubleshooting prompt in Gemini, describing the error message and the field that keeps failing to sync. It suggests three likely causes in order, and the second one is right. She fixes the mapping, reruns the sync, and by four o'clock the sequence is scheduled and the scoring doc is with sales. She leaves on time and takes her daughter to swimming.

Before

  • Blank page at nine in the morning
  • Scoring rules living in one person's head
  • Integration errors eating whole afternoons
  • Documentation always pushed to next week

After this course

  • First drafts ready before the first coffee
  • Scoring rules written down and shared
  • Integration fixes found in minutes
  • Home on time on a Wednesday

What you'll learn

  • Email drafts: Write nurture emails, subject lines, and personalization that sound like your brand.
  • Segment plans: Define audience segments from behavior and data, and document them clearly.
  • Workflow design: Map triggers, steps, and logic for automated campaigns before you build them.
  • Lead scoring: Design a scoring model, set point values, and write the rules down.
  • Performance reports: Turn campaign metrics into a readable summary with suggested next steps.
  • Tool troubleshooting: Describe an integration problem and get a plan for fixing it.
  • Landing page tests: Generate test ideas, draft page copy, and make sense of A/B results.
  • Data and compliance: Build cleanup rules and compliance checklists you can reuse.

How this course works

  1. 8 lessonsOne task of your job each, from email campaign drafting to database & compliance management.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish and keep the prompts as your own library.