Traditional metrics like ticket resolution time or customer satisfaction scores (CSAT) are undeniably significant. However, to gain a more holistic picture, product analytics can be applied to: ‍

Product analytics traditionally hinged on examining user interactions to extract actionable insights. The integration of machine learning (ML) has elevated this process, enriching our understanding and our ability to predict future trends. Let's unfold how ML integrates into product analytics and the transformative advantages it introduces. ‍