Inside the Revenue Engine with Shivam Saini

As ML engineers and technical professionals, we often work with concepts like lead scoring, churn prediction, forecasting, customer segmentation, and recommendation systems.

Yet the commercial machinery behind these problems, how customers are acquired, how revenue is generated, why retention matters, and what metrics like ARR, CAC, LTV, and churn actually represent, can sometimes feel like a different language.

This e-book is designed to bridge that gap and provides a clear mental model of how B2B SaaS companies operate.