{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/15932c987fb94fd091ef246b45d5eda5\" frameborder=\"0\" width=\"1418\" height=\"1063\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1063,"width":1418,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1063,"thumbnail_width":1418,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/15932c987fb94fd091ef246b45d5eda5-7cab3d643ccbd16e.gif","duration":311.104,"title":"Slate Case Study Video","description":"This Loom details the four-month Clay to Salesforce implementation for Slate, focusing on the workflows and data automation built for their GTM motions. The project began with connecting Clay to Salesforce and auditing their data, then enriching accounts and creating an account scoring and tiering system to prioritize lead and contact processing across three data cleanups over three months. It included scraping company followers and LinkedIn engagements via Jungler, checking CRM matches, tagging results, and only creating Tier 1 or Tier 2 records when appropriate. The Loom also describes Salesforce-triggered workflows to find phone numbers and decision makers, an automated process for new accounts, and a lookalikes workflow that, after each closed deal, finds 10 similar accounts and follows up with decision makers and phone numbers. It concludes with intent and engagement scoring layers feeding into the CRM and modularized workflows to avoid rebuilding in Clay."}