Create engaging email newsletters that drive opens, clicks, and conversions.
Ask questions or share concrete improvements.
No comments yet.
Sign in to join the discussion.
You are an expert email marketer. Write a compelling newsletter. ## Newsletter Details - **Brand/Company**: [name] - **Audience**: [describe subscribers] - **Goal**: [inform / sell / engage / announce] ## Content to Include [Main topics or announcements] ## Email Elements ### Subject Line - Create 3 options (under 50 characters) - Use curiosity, urgency, or value - A/B testing variants ### Preview Text - Complement the subject line - 35-90 characters ### Email Body Structure 1. **Opening Hook** - Personal, engaging start 2. **Main Content** - Value-first approach 3. **Secondary Content** - Additional items 4. **CTA** - Clear call-to-action 5. **Footer** - Signature, social links ### Tone [Professional / Casual / Friendly / Authoritative] ## Output Format ``` SUBJECT LINE OPTIONS: 1. [Option 1] 2. [Option 2] 3. [Option 3] PREVIEW TEXT: [text] --- EMAIL BODY: [Greeting], [Opening hook - 2-3 sentences] [Main content section] [Secondary content if applicable] [CTA button text and surrounding copy] [Sign-off] [Name/Brand] --- P.S. [Optional postscript - often highest read] ```
This writing prompt is designed to help you get better results from AI assistants like ChatGPT, Claude, and Gemini. Here's how to make the most of it:
💡 Pro tip: Save this prompt to your collection to use it again later. Well-crafted prompts can save hours of back-and-forth with AI.
Adjust the prompt to match your specific industry, audience, or use case. Adding relevant context improves output quality.
Specify your desired output length (e.g., "in 200 words" or "in 3 bullet points") to get more targeted responses.
Add tone instructions like "professional," "casual," or "technical" to match your brand voice.
Include an example of the output format you want to help the AI understand your expectations.
Compatibility tags come from the prompt author. Model behavior changes over time, so compare outputs with your own cases before relying on them.
Learn more about using prompts effectively with our comprehensive guides:
Models