This n8n workflow automates the process of identifying at-risk customers and sending personalized win-back offers via email. Triggered daily, it fetches customer data from a Google Sheet, filters for high churn risk individuals who haven’t been targeted with campaigns before, then generates customized offers based on predicted churn scores using an AI model. The workflow loops through each eligible customer, creates a tailored incentive (informational message, bonus points, or discount), logs the interaction, and sends the offer via Gmail. If no suitable customers are found, it logs this status for future reference. This workflow is practical for subscription services, e-commerce platforms, or any customer retention strategy looking to re-engage inactive users efficiently.
Automated Customer Win-Back Campaign Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, filter, gmail, googleSheets, if, scheduleTrigger, set, splitInBatches, stickyNote |
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