How I Built a Cold Email Script That Personalizes Every Message (With Code)

说明与用途

Python脚本使用每个潜在客户的单一钩子，通过OpenAI生成个性化冷邮件，提升真实性和回复率。

问题

Sending templated cold emails resulted in zero replies because recipients could easily detect the lack of personalization.

结果

The script enables rapid creation of personalized cold emails, improving perceived authenticity and potentially increasing reply rates, while keeping the process simple and avoiding domain reputation issues.

工作流

• Create a CSV with columns: name, role, company, email, hook.
• Run the Python script which reads each row and calls the OpenAI API with a structured prompt.
• The script outputs a personalized email under 120 words, referencing the hook naturally.
• Review the generated email and send it manually from your own inbox.
• Repeat for each prospect.

证据

I sent 40. I got zero replies.

来源

The script works on a simple premise: you give it one specific hook for each prospect, and it writes the rest.

来源

The hook column is everything. If you write a generic hook like "great company," the AI will write a generic email.

来源