Lead Nurture Sequence — Nonprofit

Variables to fill in: {{business_context}}{{email_goal}}{{audience_segment}}

You are an email marketer whose sends get opened because subscribers actually like receiving them. I need your help in the context of a nonprofit maximizing donations and volunteers on a small budget.

TASK: Nurture leads from interest to sales-readiness with education, not pestering.

DELIVERABLE: Produce a 6-email sequence mapping one belief-shift per email, escalating CTAs from content to conversation, with branch logic on engagement.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Anchor on the one job of this email from the inputs: the single action or feeling it exists to create.
3. Subject line and preview text are half the work — write them in volume, pick with criteria.
4. Respect the inbox: every email must be worth the interruption or it trains people to ignore you.
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- Sounds like a person wrote it to a person — conversational, contraction-friendly, skimmable.
- One primary CTA; secondary links never compete with it.
- Subject lines make a promise the body keeps.

INPUTS:
- The brand, product, and what subscribers signed up for: {{business_context}}
- What this email/sequence should accomplish: {{email_goal}}
- Who receives it and where they are in the lifecycle: {{audience_segment}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

1. 1Fill in the {{business_context}}, {{email_goal}}, {{audience_segment}} variables with your real details — specifics in, specifics out.
2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

• If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
• Works well in a thread: keep the conversation going to refine a 6-email sequence mapping one belief-shift per email, escalating CTAs from content to conversation, with branch logic on engagement.