Automated Hyper-Personalized Outreach Workflow

This n8n workflow automates the process of collecting and enriching lead data for targeted outreach. It starts by scraping contact information, such as emails and LinkedIn URLs, from Apollo.io using an API. The workflow then stores this data in a Supabase database for organized management. It also integrates with LinkedIn APIs to gather detailed profile and post data, which is used to craft personalized messages. Using OpenAI’s GPT models, it generates tailored outreach content, including email subjects and bodies, by analyzing identified pain points and relevant information. The workflow includes decision nodes to filter and qualify leads based on relevance, ensuring only high-quality prospects are contacted. Finally, it sends customized emails via SendGrid, automating large-scale, personalized outreach campaigns. This setup is ideal for B2B sales teams seeking efficient, highly targeted engagement with potential clients on a large scale.