Goal: Automate the manual grunt work of finding leads and writing personalized emails.
Tools:
- Clay: The “Central Hub” where you find leads and organize data.
- OpenAI (ChatGPT): The “Writer” (integrated inside Clay) that analyzes the data and drafts the emails.
- Smartlead / Instantly: The “Sender.” Clay doesn’t send mass emails; you export your finished data here to launch the campaign.
Outcome: A self-filling pipeline of verified leads with custom email drafts ready to send.
Note: This is a fully no-code workflow designed for non-technical founders. If you are a developer looking for the advanced n8n/scraping version, see our technical playbook: Automate Cold Email Personalization with AI.
The biggest bottleneck in sales isn’t sending emails—it’s the research. Most teams waste hours copying data from LinkedIn to Excel, only to send generic messages that get ignored. This playbook builds an “Automated Research Agent” that scrapes LinkedIn for your ideal clients, finds their verified emails, and writes a unique intro line for every single person—automatically.
Step 1: Automate Lead Sourcing
Instead of buying a stagnant list, set up a “live” feed of prospects directly from LinkedIn.
- Create a New Workspace: Open Clay and select New Table.
- Select the “Live” Source: Choose Find People from LinkedIn (this uses a built-in scraper).
- Set Your Targeting: Input your Ideal Customer Profile (ICP).
- Example: Job Title: “CMO” OR “Head of Marketing”; Location: “New York”; Company Size: “11–50 employees.”
- Import: The system will pull a fresh list of real people matching those criteria into your spreadsheet rows.