Improving Gong's customer retention with predictive data analytics
Michael Tambe
Data Leader, Gong
About the guest
Michael Tambe
Data Leader, Gong
Mike leads a lean team of 8 at Gong that punches way above its weight with predictive analytics. With experience from Amazon Ads and LinkedIn, he brought data discipline to Gong's action-oriented culture (Israeli-US roots) and built retention models that anticipate customer churn before it happens. He's also a master of French cuisine.
Gong's revenue intelligence platform captures and analyzes customer interactions. Mike leads a lean team of 8 that punches way above its weight with predictive analytics.
What you'll learn
Mike shares how a team of just 8 built retention models that combine predictive analytics with usage patterns to anticipate customer churn before it happens. With experience from Amazon Ads and LinkedIn, he explains Gong's action-oriented culture (Israeli-US roots), their lean stack (Snowflake, Tableau, custom Python models, dbt), and how he balances high-impact short-term projects with long-term innovation. Plus — he's a master of French cuisine.
Why you should listen
- Learn how a tiny team of 8 built churn prediction models that anticipate customer loss before it happens
- See how combining predictive analytics with usage patterns creates an early warning system for retention
- Discover Mike's framework for balancing high-impact quick wins with long-term innovation bets
