This n8n workflow automates the process of capturing lead data via a webhook, processing and analyzing the information, and integrating it into HubSpot along with logging and notifications. The process starts with an external trigger via a webhook, where lead data is received. This data is then split into manageable chunks and embedded into vector representations for advanced natural language processing. These embeddings are stored in a Supabase database for retrieval, while a language model (via Anthropic API) is used for contextual understanding and decision-making. Based on this analysis, lead information is logged into Google Sheets for record-keeping, and notifications about errors are sent to Slack. This workflow is highly valuable for CRM automation, lead qualification, and real-time notifications, streamlining the lead management process for marketing or sales teams.
Automated Lead Data Processing to HubSpot
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook |
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