{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b4d098591c7748c2986581adfde549c3\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b4d098591c7748c2986581adfde549c3-ca259fdef3061973.gif","duration":306.773,"title":"engin Intelligence for Recruiting Funnel Optimization","description":"This Loom introduces engin Intelligence as an AI-driven layer that connects recruiting data across ATS, job boards, CRM, sourcing platforms, and spreadsheets to explain outcomes and optimize performance. It focuses on a single end-to-end recruiting and talent funnel from first click through placement, including placements, cost per placement, and placements per recruiter, plus conversion rates at each funnel touchpoint. The platform also adds market intelligence to assess real-time demand, industry difficulty, and job-specific market context, and provides a live pipeline view for tracking activity by team, industry, region, and job type. It emphasizes that the intelligence layer is not a replacement for core recruiting tools but integrates them to improve productivity and AI readiness through better data quality."}