MethodMarketingContent, email & socialStarter

Write an email nurture sequence

A 5–7 email automated sequence with goal, timing, subject lines, body copy and exit rules.

This is a practical, copy-paste process for new leads go cold.. Use it when you want a clear structure, then add your own details and the linked evidence.

Published by Deepstory Research. Reviewed Sep 2026.

How to use this method

1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.

The prompt

Paste it as-is. The AI will ask for anything still in [BRACKETS].

Download .md

# 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.

What you need to give the AI

Input	Placeholder	Example
Trigger	[TRIGGER]	downloaded pricing guide
Audience	[AUDIENCE]	small agency owners
Goal	[GOAL]	book a demo
Offer or proof points	[OFFER_OR_PROOF_POINTS]	case study, free trial

Use it when

New leads go cold.
Onboarding new users or customers.

What you get

Sequence map
Emails (subject, preview, body, CTA)
Rules
Metrics

The procedure, step by step

Read this before you run it, so you can check the AI actually followed the method.

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.

Quality checks built into the prompt

• Include unsubscribe and consent reminder.
• One idea and one CTA per email.
• Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].

Evidence to use with this method

Methods tell the AI how to think. Evidence gives it sourced numbers to think with. Download a context file and attach it with the prompt.

EvidenceRetail

E-Commerce Share of US Retail

Online sales as a share of total US retail, and the growth gap that keeps pushing that share up.

Open evidence Download context file

EvidenceFinance

UPI vs Visa & Mastercard: India’s Payments Rewiring

Ten years of UPI measured against the US card networks, against cash, and against the merchant-discount-rate question reopened by the Taxation and Other Laws (Amendment) Bill, 2026.

Open evidence Download context file

EvidenceFinance

Six-Economy Macro Baseline

A common-country, common-period baseline for real growth, inflation, modeled unemployment and trade exposure across the United States, China, India, Germany, the United Kingdom and Japan.

Open evidence Download context file

Run next

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