Emre Kavaloglu is the co-🏷️#founder of Waterfall.io and TAMradar, building APIs and MCPs for 📝go-to-market teams, platforms, and agents. Waterfall aggregates more than 30 data vendors so teams can maximize contact, email, and phone coverage without signing multiple vendors or long-term contracts, and TAMradar monitors 20-plus signals across people, companies, and industries — job changes, funding, product launches, and hiring trends. He works with fast-growing tech companies and holds a comprehensive view of how to build a total addressable market. Before founding 📝Waterfall he led growth and marketing at MobileAction and SearchAds.com, and he holds a master's from Lancaster University and a bachelor's from the University of Salford.
Emre argues that most companies overlook 20-40% of their 📝TAM, and that data needs should scale with active acquisition channels — a large database matters far more for 📝cold outbound than for partnership-driven revenue. To expand coverage, he looks beyond basic industry, location, and headcount filters toward good-fit contact titles and manual enrichment against possible-fit lists until patterns emerge that AI can scale. He advises deciding what intent data is for before capturing it, then acting on signals as fast as possible after they fire. On the discipline itself, he stresses that GTM engineers should add value across the entire funnel — not just cold outbound — by talking to the internal people who interact with customers, and that building the skillset comes from curiosity, playing with workflow tools like n8n, and honing business intuition.
I had Emre on to get into the hidden secrets of building your TAM — and what 📝GTM engineering is not — and his line stuck: figure out what you'll use intent data for before you spend a dollar capturing it.