This n8n workflow streamlines the process of generating personalized cold email icebreakers targeted at LinkedIn leads in the dental industry. It begins with manually triggered execution, then processes a list of raw leads stored in Google Sheets. The workflow filters leads to ensure only those with email addresses are considered, and loops through each to scrape detailed LinkedIn profile data using the Apify LinkedIn scraper. This data is then combined and fed into OpenAI’s GPT-4 to craft short, engaging icebreakers tailored to each lead’s profile, emphasizing personalized details. The generated messages are stored in Google Sheets for easy access, enabling targeted outreach campaigns. Additionally, the workflow updates the lead list to mark enriched entries, preventing redundant processing. This automation helps sales teams efficiently personalize cold emails at scale, increasing engagement and response rates.
Automated Personalization for Cold Email Outreach
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.openAi, aggregate, filter, googleSheets, httpRequest, manualTrigger, set, splitInBatches, stickyNote |
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