Cold emails that follow Lavender's reply data
Write and check one-to-one cold emails against 20 rules from Lavender's analysis of 28.3 million emails: 25 to 50 words, a 3rd to 5th grade reading level, a short internal-sounding subject, one easy question and no links, with a pass or fail result for every rule. Based on a post by Nick Abraham.
Tested end to end by the creator
What your AI will deliver
- Research.md: one checked observation per prospect, its source and date, and a hypothesis tied to the problem the sender solves
- Emails.md: a subject line and body per prospect
- Checks.md: pass or fail for each of the 20 rules per email, with the measured word count and reading grade
- A send plan of 50 cold emails a day or fewer, spaced out
How it runs
In your AI, with your accounts. It starts by researching your business. How kits work ›
- 1. Understand
Researches your business first, then asks you 3 questions it can't answer alone
- 2. Choose
Nothing to choose: the kit follows one path
- 3. Build
5 steps
- 4. Deliver
3 checks before delivery
Tools it uses
You pay each tool directly, not CloneKit. Your AI checks which ones you already have.
Details
What the creator's process is built on. Your AI loads them during the run.
- Source
- Source
- Source
- Source
- Source
- Source
- Source
- What the sender sells and one customer story
- The prospects (names
- Companies
- Roles)
Reference files your AI can read during and after the work.
- How to measure each ruleCHECKS.md
- IndexREADME.md
- Rules (Lavender data, via Nick Abraham's post)RULES.md
- Never send email or connect to the person's mailbox; drafts only
- Never state a fact about a prospect that is not confirmed by a source
- No links, images or attachments in the email body
First version, based on Nick Abraham's post of Lavender's cold-email data.
Everyone running this kit gets updates. See changelog ›
- Type
- Delivery
- License
- Own use
- Uses
- 0
- Runs completed
- 0