This n8n workflow streamlines the process of cleaning and standardizing company names from a lead spreadsheet submitted via a form. When a new form submission occurs, it fetches relevant lead data from a specified Google Sheet, then uses OpenAI’s GPT-4 model to intelligently clean and normalize company names by removing suffixes, taglines, and unnecessary words, ensuring they are professional and suitable for personalized cold email outreach. The cleaned company names are then merged with the original lead data and saved into a new Google Sheet, helping sales and marketing teams prepare high-quality, personalized lead information efficiently. Practical use cases include automating data prep for outreach campaigns, lead list management, and CRM data cleansing, saving time and ensuring consistency across outreach efforts.
Automated Lead Data Cleaning and Enrichment
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, formTrigger, googleSheets, merge, set, stickyNote |
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