This workflow automates the process of managing email replies from Lemlist campaigns, classifying replies, and sending organized Slack notifications. It streamlines lead responses by categorizing replies (such as Interested, Unsubscribe, or Other) using OpenAI’s GPT-4 model, then routes responses accordingly—either notifying a Slack channel for quick visibility, unsubscribing leads, or marking interested leads as such in Lemlist. The flow begins with a webhook trigger from Lemlist when new replies arrive, which then cleans the text for better processing. It utilizes OpenAI to classify the reply, and based on the category, it routes the response: notifications go to Slack, leads are unsubscribed, or marked as interested, all while providing helpful sticky notes explaining each step. This workflow is particularly useful for automating lead follow-up management, ensuring timely responses, and maintaining organized outreach efforts.
Automated Handling of Lemlist Replies with Slack Notifications
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, httpRequest, lemlist, lemlistTrigger, markdown, merge, slack, stickyNote, switch |
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