How I Built a Full Clay Table from a CSV (No Manual Research Needed)

🎯 How to Build a Clay Table from a CSV (Domain Enrichment, Decision Makers & Contact Data) In this video, I walk you through exactly how I build a Clay table from scratch using a CSV file — covering everything from finding company domains with AI to enriching verified emails and phone numbers using a waterfall approach. 📌 What You’ll Learn: ✅ How to import a CSV file into Clay and auto-populate your columns ✅ How to use AI enrichment to find accurate company domains and LinkedIn URLs ✅ How to set up smart prompts with multiple inputs for more accurate results ✅ How to find up to 20 decision-makers per company filtered by job title and country ✅ How to build a waterfall email enrichment using 9+ providers for maximum coverage ✅ How to enrich phone numbers using ZoomInfo and Lusha APIs ✅ How to prepare your data for email outreach, LinkedIn outreach, and phone calls 💡 Why This Matters: Most B2B lead lists are incomplete. They have company names but no domains, no decision-maker contacts, and no phone numbers. That means your sales team is left doing manual research before they can even start outreach. Clay solves this. With the right table setup, you can go from a raw CSV to a fully enriched list with verified emails, phone numbers, and LinkedIn URLs — all ready to plug into your CRM or outreach tool. This is not just data enrichment. This is building the foundation your entire GTM motion runs on. Join here: https://www.skool.com/gtm-sync-6333 Subscribe for weekly tutorials on Clay, Apollo, GTM Systems, AI Automation, Lead Generation, Cold Email, and Revenue Operations. 💬 Have questions about building Clay tables or setting up enrichments? Drop them in the comments — I will personally respond. #Clay #LeadGeneration #ColdEmail #GTMEngineering #SalesAutomation #B2BSales #OutboundSales #RevenueOperations #DataEnrichment #GTMOps #Prospecting #SalesDevelopment #EmailOutreach #WaterfallEnrichment #ClayTutorial