From Strategy to Send-Ready Emails in One Chain
Four chained tasks build a complete email sequence: strategy, copy with A/B subject lines, QA for subject lines and CTAs, and a review task on your desk with setup instructions for your email platform.
What this does
This playbook builds a complete email sequence in four chained tasks. It plans the strategy, writes each email with A/B subject lines, QAs subject lines, CTAs, and tone across the sequence, then lands a review task on your desk with setup instructions for your email platform. The default is a welcome series, but it works for re-engagement, product launch, or nurture sequences too.
Best for
Agencies that build email sequences for clients and want draft-ready copy without starting from scratch each time.
How the chain works
Template 1: Series Strategy (1/4). Reads the client profile and creates a strategy deliverable: objective, audience, sequence structure, and success metrics. Does not write any emails yet. When done, books Template 2.
Template 2: Write Series (2/4). Reads the strategy deliverable. Writes one deliverable per email with subject lines (A/B options), preview text, body copy, and CTA. When done, books Template 3.
Template 3: QA Series (3/4). Reads all the email deliverables and reviews each one for subject line strength, CTA clarity, tone consistency, and missing personalization. Creates a QA deliverable with findings plus setup instructions (triggers, delays, exit conditions). When done, books Template 4.
Template 4: Review & Launch (4/4). You read the QA notes, review each email, set up the sequence in your email platform, send test emails, and go live.
Requirements
- Templates 1-3 need Autocomplete enabled.
- The client profile should have their business description filled in so the AI can tailor the strategy and tone.
- If you’re running this after client onboarding, the research summary from that playbook gives the AI more context to work with.
How to use it
- Create a task from “Series Strategy (1/4)” for your client.
- On its due date, it autocompletes and the chain runs through all three AI steps. To run it earlier, mark it complete yourself or click Run Prompt.
- The review task lands in your queue with SOPs. Check the deliverables, load the emails into your platform, and mark complete when the series is live.
Tips
- Change the series type. The default is a welcome series. To build a re-engagement, product launch, or nurture sequence, edit the strategy template’s prompt and swap “welcome” for your series type. The chain structure works the same way.
- Customize the email count. The default strategy targets 4-5 emails. Add a line like “This should be a 7-email sequence” to the strategy prompt if you need more.
- The client description matters. If the client profile has notes about their audience, tone, or goals, the AI uses that to shape the strategy and copy.
The templates
Paste these into Settings → Task Templates in your Lifted Work account. Create a template group, add each template in order. When you create tasks from these templates, the AI picks up client context automatically.
Welcome Series Strategy (1/4)
Read the client profile for context on their business, services, and brand voice.
Design a welcome email series strategy for new subscribers or customers. Do not write the actual emails yet. Create one deliverable titled “Welcome Series Strategy” containing:
- Goal of the welcome series (introduce the brand, build trust, drive a first action)
- Target audience: who signs up, what they expect, what they care about
- Sequence structure: number of emails (typically 4-5), timing between them (e.g., Day 0, Day 1, Day 3, Day 7), each email’s specific goal
- For each email: send timing, subject line angle, core message in one sentence, primary CTA, emotional trigger
- Success metrics: target open rate, click rate, what counts as a conversion
When done, create a task from the “Write Welcome Series (2/4)” template assigned to me, due in 5 minutes.
Write Welcome Series (2/4)
Look up deliverables for this client with title “Welcome Series Strategy” and include the content. Use that strategy to write the complete welcome email sequence.
Create one deliverable per email, titled “Email [number]: [subject line angle]”. Each should contain:
- Subject line (write 2 options for A/B testing)
- Preview text (under 90 characters)
- Opening hook
- Body copy following the strategic angle
- Clear, single CTA with button text
- Optional P.S. line
Writing rules: short paragraphs, conversational tone, one CTA per email, subject lines under 50 characters. Include {{first_name}} personalization where appropriate.
When done, create a task from the “QA Welcome Series (3/4)” template assigned to me, due in 5 minutes.
QA Welcome Series (3/4)
Look up all deliverables for this client with “Email” in the title, include content. Review each email in the welcome series.
For each email, check:
- Subject line strength (pick the best A/B option and explain why)
- CTA clarity
- Tone consistency with the rest of the sequence
- Missing personalization opportunities
Then create one deliverable titled “Welcome Series QA & Setup Notes” with your findings, plus:
- Sequence setup instructions: trigger (new subscriber/customer), delay timing between emails, exit conditions
- Testing plan: what to A/B test, suggested split, what to measure
When done, create a task from the “Review & Launch Welcome Series (4/4)” template assigned to me, due tomorrow.
Review & Launch Welcome Series (4/4)
AI has completed the welcome email series for this client. Review the deliverables before loading them into the email platform:
- Open the deliverables on this task. Look for “Welcome Series Strategy”, “Email 1”, “Email 2”, etc., and “Welcome Series QA & Setup Notes”.
- Read the QA notes first for flagged issues.
- Review each email. Edit subject lines, copy, and CTAs as needed.
- Set up the sequence in your email platform: trigger on new subscriber/customer, configure delays between emails, set exit conditions.
- Send a test email for each before going live.
- Mark this task complete when the series is live.
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