In a recent LinkedIn post, Dan Sherrard-Smith discusses a novel approach to cold outreach, detailing how he achieved 50 enriched leads with personalized emails using a single AI prompt. Sherrard-Smith frames his strategy as a solution to common pain points in sales development, such as inefficient data gathering and generic messaging.
The core of Sherrard-Smith’s method involves integrating Clay, a data enrichment platform, with Claude Code, an AI tool. He highlights the frustration many professionals face with the current landscape of sales tools.
“Most people drown in tabs, bad data, and cr*ppy vanilla copy. And it makes cold outreach really suck.”
According to Sherrard-Smith, the traditional cold outreach process often falters due to three primary issues: identifying the correct businesses, obtaining accurate contact information, and crafting compelling, non-robotic copy. He presents his integrated AI approach as a direct answer to these persistent challenges.
The Clay + Claude Code Integration
Sherrard-Smith outlines a step-by-step process for setting up this integrated system. The initial step involves connecting a Clay account to Claude Code via its API. He emphasizes that users do not need to become experts in Clay’s user interface.
“Claude Code reads the endpoints and figures out what to do. You just describe what you need in plain English,” Sherrard-Smith explains, underscoring the user-friendly nature of this setup. Once connected, the user describes their target audience in plain English within Claude Code. The AI then interfaces with Clay to pull a list of leads that match the specified criteria. Clay subsequently enriches each lead with essential data, including emails, phone numbers, and company details, feeding this information back to Claude Code automatically.
The Importance of Contextual Data
A critical element of Sherrard-Smith’s strategy, which he notes is often overlooked, is the preparation of context files. These files provide the AI with the necessary background information about the user’s business to generate truly personalized copy.
“If Claude Code knows nothing about your business, the copy will be generic.”
Before executing the main prompt, Sherrard-Smith advises creating comprehensive context files. These should include:
- A detailed business profile
- Two to three case studies
- A clear outline of the offer
- Frequently Asked Questions (FAQs)
- Relevant website copy
By feeding Claude Code this rich context, the AI can then generate personalized subject lines and email bodies tailored to each individual lead, moving beyond generic templates.
Streamlined Output and Scalability
The final output of this process, as detailed by Sherrard-Smith, is a single CSV file containing the leads, their enriched data, and the personalized email copy. This consolidated file can then be directly uploaded back into Clay for execution.
“Most people try to do this across 5 separate tools. Lose 100s of hours on trial and error. (been there) Or outsource for near zero results. (done that)”
Sherrard-Smith contrasts this efficient, single-prompt method with the common practice of using multiple tools, which he argues leads to significant time loss and often disappointing results. He states that he personally developed this integrated system in under an hour and suggests that once set up, it can be scaled to generate thousands of leads.
In Dan Sherrard-Smith’s view, this approach represents a significant leap forward in making cold outreach more effective and less labor-intensive by leveraging AI for both data enrichment and personalized communication.
📝 About This Content
This article is based on insights shared by Dan Sherrard-Smith on LinkedIn.
📅 Originally posted on July 28, 2026 | View original post on LinkedIn →