Automate B2B Lead Scoring with Make and GPT

Processing incoming business leads manually is time-consuming and prone to human error. By combining no-code automation with modern artificial intelligence, B2B marketers can instantly evaluate and route prospects without writing a single line of complex code. This course teaches you how to design automated pipelines that intercept incoming requests, analyze them using AI, and assign priority scores based on your specific business criteria. You will read through step-by-step written instructions to connect data sources, structure effective AI prompts, and build reliable automation scenarios in Make. What you will learn: * Understand the core concepts of no-code automation and API integrations. * Build automated workflows in Make to capture incoming lead data via webhooks. * Apply fundamental prompt engineering techniques to instruct GPT for accurate lead evaluation. * Design custom scoring frameworks to automatically segment B2B prospects. * Configure data routing to send qualified leads directly to your CRM or email. * Implement basic error handling and modern data validation in your automated scenarios. The course begins with foundational terminology surrounding APIs, webhooks, and AI models before moving into practical, text-based workflow building. You will progress through written tutorials that guide you from basic data capture to deploying a fully functional AI scoring system. This material is designed for beginners, B2B marketers, and automation enthusiasts with no prior programming experience. Start reading today to transform your lead management process with intelligent automation.