Kevin Kim
Senior Customer Retention Strategist
Kevin Kim is a Senior Customer Retention Strategist at Rework who helps CS and RevOps teams spot churn before it happens. With 5+ years in B2B customer success analytics, Kevin has built health scoring models that predict churn with 85%+ accuracy. Readers get the formulas, thresholds, and data models to cut net revenue churn and grow expansion revenue.
About Kevin Kim
Kevin Kim helps customer success and RevOps teams see which accounts are thriving and which are about to churn, so they can act while there is still time to save the revenue. Over 5+ years on the data side of customer success, Kevin has built the models and dashboards that turn scattered signals into a clear retention picture.
Kevin 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, and it helped the CS team reduce net revenue churn by 25% year-over-year. Readers can adapt that same approach to their own accounts.
How Kevin Helps You
Kevin's writing gives you the playbook for data-driven customer success. From these articles you get:
- Customer health scoring models and early warning systems you can build in production
- Churn analysis frameworks and the leading indicators that actually predict it
- Retention strategies backed by real usage data, not gut feel
- CS metrics and dashboards that leadership will actually read
- NRR optimization and expansion revenue forecasting methods
If you lead a CS or RevOps team and want to move beyond gut-feel account management, Kevin shares the formulas, thresholds, and data models proven in real deployments so you can put them to work fast.
Connect
Kevin Kim is a Gainsight certified practitioner and an active contributor to the customer success analytics community.