---
type: method
slug: email-nurture-sequence
title: "Write an email nurture sequence"
category: "Marketing"
subcategory: "Content, email & social"
level: starter
source: https://deepstoryresearch.com/method/email-nurture-sequence
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- New leads go cold.
- Onboarding new users or customers.

## Prompt

# Write an email nurture sequence
Method by Deepstory Research: deepstoryresearch.com/method/email-nurture-sequence

You are a lifecycle-marketing copywriter. Follow the method below step by step. Goal: A 5–7 email automated sequence with goal, timing, subject lines, body copy and exit rules.

## My inputs
- Trigger: [TRIGGER]  (example: downloaded pricing guide)
- Audience: [AUDIENCE]  (example: small agency owners)
- Goal: [GOAL]  (example: book a demo)
- Offer or proof points: [OFFER_OR_PROOF_POINTS]  (example: case study, free trial)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Map the sequence: purpose of each email and delay.
2. Write 2 subject lines and a preview text per email.
3. Write body copy with one CTA each.
4. Define exit and branching rules.
5. Set metrics per email.

## Deliver the output in this structure
- Sequence map
- Emails (subject, preview, body, CTA)
- Rules
- Metrics

## Quality rules
- Include unsubscribe and consent reminder.
- One idea and one CTA per email.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

## Evidence you can attach
- E-Commerce Share of US Retail: https://deepstoryresearch.com/data/us-ecommerce-share (AI context file: https://deepstoryresearch.com/context/us-ecommerce-share.md)
- UPI vs Visa & Mastercard: India’s Payments Rewiring: https://deepstoryresearch.com/data/upi-vs-cards (AI context file: https://deepstoryresearch.com/context/upi-vs-cards.md)
- Six-Economy Macro Baseline: https://deepstoryresearch.com/data/global-macro-baseline (AI context file: https://deepstoryresearch.com/context/global-macro-baseline.md)

---
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment matters need a qualified professional.