{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/701ba93af40242cf9e23244e30b141b5\" frameborder=\"0\" width=\"1120\" height=\"840\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":840,"width":1120,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":840,"thumbnail_width":1120,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/701ba93af40242cf9e23244e30b141b5-2e1756b7e002a4fc.gif","duration":558.437,"title":"Automated LinkedIn Referral System for Meetings","description":"This Loom presents a LinkedIn-based referral and lead generation system that automates finding ICP matches via engagement on posts from a prospect’s network. The creator tested three referral theories and reports acceptance and reply metrics, including about a 55% acceptance rate on 150 people, around 50% acceptance with about a 50% real reply rate over four to five months, and a later run averaging one reply per 4.5 connections with about a 22% acceptance rate. The workflow downloads a connections.csv file, uses an Amplify actor to scrape posts and engagers from connections, filters to roughly 1% matching the ICP, enriches roles using Engage Your Occupation and an AI check for titles, and then sends outreach through Salesforge. Costs were noted as $2 per 1,000 scrapes with a weekly cap of $10 for the scraper and about $30 per week for the customer, and it concludes that the approach works best with a sufficiently large TAM."}