Kevin Kim

Kevin Kim

Senior Customer Retention Strategist

Customer Retention Analyst at Rework. 5+ years in B2B customer success analytics. Built health scoring models that predicted churn with 85%+ accuracy and helped reduce net revenue churn by 25% year-over-year.



Who I Am

I'm Kevin Kim, a Customer Retention and Health Scoring Analyst at Rework. Over 5+ years, I've focused on the data side of customer success, building the models and dashboards that tell you which accounts are thriving and which are about to churn.

I built Rework's customer health scoring framework from scratch. The model predicts churn risk with 85%+ accuracy by combining product usage signals, support ticket patterns, and engagement data. It's helped our CS team reduce net revenue churn by 25% year-over-year.

What I Write About

I write about data-driven customer success:

  • Customer health scoring models and early warning systems
  • Churn analysis frameworks and leading indicators
  • Retention strategies backed by usage data
  • CS metrics and dashboards that leadership actually reads
  • NRR optimization and expansion revenue forecasting

I write for CS leaders and RevOps teams who want to move beyond gut-feel account management. My articles include the formulas, thresholds, and data models I've built in production.

Connect With Me

I'm a Gainsight certified practitioner and actively contribute to the customer success analytics community.