C101.1 - Intro to Clay 101: FETE & Jigsaw

About this video

• Video Title: C101.1 - Intro to Clay 101: FETE & Jigsaw
• Channel: Clay
• Speakers: Yash
• Duration: 10:09

Overview

This video introduces the Clay platform and outlines two key frameworks for building data workflows: FETE (Find, Enrich, Transform, Export) and Jigsaw. The FETE framework provides a four-step process for data automation, while the Jigsaw framework offers a systematic approach to assembling data by focusing on essential identifiers (corner pieces), broader data points (edges), and then filling in the remaining details (middle). The video aims to demystify Clay's capabilities and provide users with a structured method for creating effective data workflows.

Key takeaways

• Clay's Versatility: Clay is a powerful and flexible tool that can be used for various data enrichment and automation tasks, such as enriching data, automating outbound processes, and qualifying leads.
• The "Blank Canvas" Problem: The flexibility of Clay can be intimidating for new users, similar to facing a blank canvas or experiencing writer's block, as there are infinite possibilities without clear direction.
• FETE Framework: This four-step framework (Find, Enrich, Transform, Export) provides a structured approach to building data workflows in Clay.
  • Find: Locating initial data, either through Clay's built-in sources or by importing your own lists.
  • Enrich: Expanding the initial dataset with additional information using various data providers and tools.
  • Transform: Manipulating and formatting the data using native Clay functions, AI, and formulas for specific needs.
  • Export: Sending the processed data to other platforms like CRMs, email sequencing tools, or data warehouses.
• Jigsaw Framework: This framework likens data assembly to solving a puzzle, emphasizing a methodical approach to ensure accuracy and efficiency.
  • Corner Pieces: Essential identifiers like company domain/website, social profile URLs, or combinations of person's name, company, job title, and email. These are crucial for unlocking further data enrichment.
  • Edges: Broader firmographic data for companies (e.g., headcount, location, industry) and demographic data for people (e.g., job title, work experience, education), obtained using "enrich company" or "enrich person" actions.
  • Middle: Utilizing specialized data providers, AI, web scraping, or custom API calls to fill in any remaining data points needed for the data aggregation puzzle.
• Benefits of Frameworks: Adopting the FETE and Jigsaw frameworks can fundamentally change how users approach and build automations, saving significant time on troubleshooting and leading to more effective workflows.