Rachel Kim

Data Analytics & Performance Intelligence Lead

Rachel Kim is the person in the room who asks the question no one else thought to ask: "What does the data actually say?" Her work focuses on building measurement frameworks for coaching businesses that go beyond surface-level vanity metrics to surface the leading indicators that predict revenue outcomes weeks or months before they appear on a P&L. Rachel's background is in quantitative research — she spent six years as a data scientist at a growth-stage SaaS company before transitioning to the coaching industry, where she was struck by how few operators were making decisions based on rigorous analysis rather than intuition and anecdote. Her "Coaching Business Intelligence Stack" — a structured approach to tracking acquisition, activation, retention, and referral metrics — has been implemented by over 30 Capital Attention clients. She writes for the Data & Analytics category with the precision of a scientist and the communication skills of a strategist.