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

Описание и применение

Скрипт на Python генерирует персонализированные холодные письма, используя уникальный «хук» для каждого контакта, что повышает вероятность ответа.

Задача

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

Результат

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.

Рабочий процесс

• 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.

Доказательства

I sent 40. I got zero replies.

Источник

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

Источник

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

Источник