{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/489811833b8e4ce2b783626903376545\" frameborder=\"0\" width=\"2560\" height=\"1920\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1920,"width":2560,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1920,"thumbnail_width":2560,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/489811833b8e4ce2b783626903376545-e5b73face6f5a3db.gif","duration":272.889,"title":"Exploring the Artefact MCP Server: Revenue Intelligence for AI Assistants","description":"In this video, I walk you through the Artifact MCP Server, a Python package that enhances AI assistants with revenue intelligence tools. I demonstrate three key features: RFM analysis, which identifies five champion clients driving 75% of our revenue; ICP scoring for a qualified prospect, TechCorp, which scored 11.5; and pipeline health assessment that flags at-risk deals with a health score. These insights are crucial for refining our marketing strategies and sales engagement. I encourage you to explore these tools and consider how they can be integrated into your workflows."}