video1.0<iframe src="https://www.loom.com/embed/701ba93af40242cf9e23244e30b141b5" frameborder="0" width="1120" height="840" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8401120Loomhttps://www.loom.com8401120https://cdn.loom.com/sessions/thumbnails/701ba93af40242cf9e23244e30b141b5-2e1756b7e002a4fc.gif558.437This 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.