This n8n workflow streamlines the handling of replies from lemList email campaigns by automatically categorizing responses using OpenAI’s GPT-4 model. When a new reply is received, the workflow formats the reply text for clarity and then uses AI to classify the reply into categories such as ‘Interested’, ‘Unsubscribe’, or ‘Not interested’. Based on the classification, the workflow can perform various actions: sending detailed alerts to a Slack channel with categorized reply info, unsubscribing leads who no longer want emails, or marking interested leads as engaged. This automation improves response management, saves time, and ensures timely follow-up. Practical scenarios include managing large outreach campaigns, monitoring responses, and maintaining clean contact lists.
Automated Lead Response Classification & Slack Alerts
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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