---
name: cold-email-ab-testing
description: Full-lifecycle A/B testing for cold email: pre-launch variant generation with minimum thresholds and post-launch statistical analysis.
---

# Cold Email A/B Testing

## 1. What it does

- Generates cold email variants before launch while respecting minimum volume thresholds per variant, then after sending calculates the winner with a z-test and delivers clear optimization recommendations for the next round.

## 2. When to use it

- When you want to test different subject lines or openers in a cold email campaign.
- When you need to know if a variant truly wins or the difference is noise.
- When you iterate campaigns continuously and want a repeatable process.

## 3. Step by step

- Define how many variants you want to test and the test's goal.
- The assistant validates each variant has minimum volume before launch.
- The send plan is built respecting those thresholds.
- Results are monitored as opens and replies come in.
- At close, statistical significance is calculated with a z-test.
- The winning variant recommendation is delivered as a draft for your next campaign.

## 4. Safety rules

- Safety rules: everything ships as a draft first; nothing is sent, published, or paid for without your explicit approval; no data, numbers, or results are ever invented; no credentials or secrets are typed into chat.

## 5. Best practices

- Always review the full draft before approving any send, publish, or payment.
- If real information (data, numbers, results) is missing, ask for it to be flagged as pending instead of invented.
- Keep credentials and keys out of chat; set them in environment variables or your secrets manager.

## 6. GoHighLevel integration

- Where relevant, results can be saved as contacts, tags, tasks, or notes inside your GoHighLevel sub-account.
- No automation inside GHL (workflow, campaign, trigger) activates without your review first.