You've mastered the basics of using GenAI for marketing tasks. Now let's unlock a game-changing skill: iterative prompting.

Most people write one prompt and accept whatever AI gives them. But the pros treat prompting like a conversation - refining and improving with each exchange.

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Have you ever felt frustrated when AI didn't quite understand what you wanted?

Iterative prompting is the systematic process of refining your prompts based on AI's previous responses to get better results.

Think of it like crafting a campaign - you start with rough concepts and gradually refine until you get exactly what resonates with your audience.

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When you get an AI response that's "close but not quite right," what do you usually do?

Here's the basic cycle: Start with your initial prompt, analyze the AI's output critically, then refine your prompt based on what worked and what didn't.

Each round gets you closer to your ideal result. And you edit your original prompt every time to get to the perfect state.

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Can you think of a recent AI response that was almost perfect but missed something important?

Start broad to gauge the AI's understanding, then get specific. If you ask for "social media content" and get generic posts, your updated prompt might specify platform, audience demographics, and campaign goals.

Don't try to cram everything into your first prompt. Let the AI show you what it understands, then guide it.

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Have you ever tried editing your original prompt instead of building the thread?

When analyzing AI output, ask: Is this the right tone for my brand? Does it match my target audience? What's missing or off-brand?

Then use that analysis to refine. "Make it more conversational," "Add customer pain points," or "Focus on emotional benefits, not just features."