You've learned iterative prompting. Now let's explore prompt chaining - breaking complex marketing tasks into a sequence of connected prompts where each output becomes the next input.

Think of it like an assembly line for marketing campaigns. Each step focuses on one specific piece of your marketing strategy.

Engagement Message

Have you ever felt overwhelmed trying to get AI to create an entire marketing campaign all at once?

Here's how prompt chaining works: You break a big marketing task into smaller, logical steps. The AI completes step one, you take that output, and feed it into step two.

Each prompt is focused and clear. No confusion, no overwhelming complexity - just one marketing element at a time.

Engagement Message

What's a complex marketing project you work on that involves multiple steps?

Why does chaining work better than one massive prompt? AI gets confused with too many marketing instructions at once, like asking someone to write ad copy while designing a funnel. Especially smaller/faster models.

Chaining gives AI focus. Each step has a clear marketing goal, making responses more accurate and relevant.

Engagement Message

Have you noticed AI giving weaker marketing ideas when you ask it to do too many things simultaneously?

Here's a simple linear chain example:

• First prompt: "List the top 5 pain points our target audience faces with email marketing."
• Second prompt: "For each pain point from this list: [paste list], create a compelling headline that addresses it."
• Third prompt: "Using these headlines: [paste headlines], write email subject lines that would get our audience to open."

Do you remember Deep Research tool?

Engagement Message

Which step(s) from this marketing chain should we use it for?

Common mistake: Making each step too complex. Keep individual prompts simple and focused. Another mistake: Not providing enough context from previous steps.