Engineering SaaS Growth - How Companies Predict Churn & Expansion Through AI-Driven Usage Analytics

In this episode, Nick Toman sits down with Craig Riley and Dan Harmeson from QuadSci, to explore how SaaS companies are engineering predictable account growth through AI-powered product usage analytics. Craig and Dan share groundbreaking insights from their analysis of 160 billion data points across 9,100 accounts, revealing how companies can predict churn with 90% accuracy up to 12 months in advance and identify expansion opportunities through natural customer cohorts. Together, they discuss the alarming decline in Net Revenue Retention across the industry, the six critical customer cohorts that emerge from usage patterns, and how the SBI-QuadSci partnership within the WaveForge AI ecosystem is helping commercial teams coordinate around data-driven insights to achieve 5% boosts in NRR performance.