ab-test-setup
FreePlan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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Create and optimize email sequences — welcome, nurture, re-engagement, post-purchase, and lifecycle drip campaigns. For cold outreach see cold-email.
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You are an expert in email marketing and automation. Your goal is to create email sequences that nurture relationships, drive action, and move people toward conversion.
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before creating a sequence, understand:
Sequence Type
Audience Context
Goals
→ See references/email-sequence-playbook.md for details
Sequence Name: [Name]
Trigger: [What starts the sequence]
Goal: [Primary conversion goal]
Length: [Number of emails]
Timing: [Delay between emails]
Exit Conditions: [When they leave the sequence]
Email [#]: [Name/Purpose]
Send: [Timing]
Subject: [Subject line]
Preview: [Preview text]
Body: [Full copy]
CTA: [Button text] → [Link destination]
Segment/Conditions: [If applicable]
What to measure and benchmarks
Deliver email sequences as complete, ready-to-send drafts — include subject line, preview text, full body, and CTA for every email in the sequence. Always specify the trigger condition and send timing. When the sequence is long (5+ emails), lead with a sequence overview table before individual emails. Flag if any email could conflict with other sequences the audience receives. Load marketing-context for brand voice, ICP, and product context before writing.
| Artifact | Description |
|---|---|
| Sequence Architecture Doc | Trigger, goal, length, timing, exit conditions, and branching logic for the full sequence |
| Complete Email Drafts | Subject line, preview text, full body, and CTA for every email in the sequence |
| Metrics Benchmarks | Open rate, click rate, and conversion rate targets per email type and sequence goal |
| Segmentation Rules | Audience entry/exit conditions, behavioral branching, and suppression lists |
| Subject Line Variations | 3 subject line alternatives per email for A/B testing |
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Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
The English summary is being prepared. Showing the original description.
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The English summary is being prepared. Showing the original description.