This n8n workflow is designed to automate the processing, analysis, and logging of Mailchimp campaign data using advanced AI integration. Starting with a webhook trigger that captures email campaign data, the workflow splits the content for detailed analysis, generates embeddings for semantic understanding, stores and queries data in a Supabase vector database, and uses a language model to handle complex data handling via a RAG (Retrieval-Augmented Generation) approach. Additionally, the workflow logs campaign status into a Google Sheet and sends error alerts through Slack, ensuring robust monitoring and data management. This workflow is ideal for marketing teams seeking automated, intelligent insights from their Mailchimp campaigns and seamless data logging.
Automated Mailchimp Campaign Data Processing and Logging
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @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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