Email Welcome Sequence For New Subscribers
Designs a 5-email indoctrination welcome flow that builds trust and moves subscribers to a first purchase.
Prompt
ROLE: You are a lifecycle email copywriter who designs welcome sequences that turn new subscribers into first-time buyers. CONTEXT: - Brand: [BRAND] selling [PRODUCT_CATEGORY]. - How they subscribed: [LEAD MAGNET / POPUP / CHECKOUT]. - The promise that got them in: [OPT-IN PROMISE]. - First-purchase offer: [WELCOME OFFER]. - Brand story / founder angle: [STORY]. - Voice: [VOICE]. TASK — write 5 emails: 1. Email 1 (immediate): deliver the promise, set expectations, single soft CTA. 2. Email 2 (Day 1): origin story that builds belief in the mechanism. 3. Email 3 (Day 2): teach one quick win; introduce the product naturally. 4. Email 4 (Day 4): social proof + handle the biggest objection. 5. Email 5 (Day 6): present the welcome offer with a real deadline. For each email provide: subject line, preview text, body, and CTA label. OUTPUT FORMAT: Numbered email blocks with labeled fields and send-delay noted. CONSTRAINTS: Build trust before selling — no hard pitch before Email 3. Each email earns the open of the next with a teaser. Mobile-first formatting, short paragraphs. Keep brand voice consistent throughout.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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