In today's data-driven world, product analytics is crucial in understanding user behavior, improving product features, and driving business growth. However, product analytics alone may not provide a complete picture of user interactions and business performance. Integrating product analytics with other data sources and systems is essential to gain deeper insights and make more informed decisions.

In the article “From Data to Insights: An Introduction to Product Analytics”, we walk you through the basics of product analytics, providing you with a high-level approach to get started with it. This time, we’d like to dig in deeper to dissect every step of the product analytics process, assuming that the main goal is to improve user engagement and retention.

In our previous Countly Digest, we delved into the top concern of product managers and analysts: tracking user behaviour. It is a crucial aspect of product analytics, as it enables companies to understand user behaviour and preferences, leading to better product development and increased revenue. ‍

At Countly, we’ve been talking about product analytics for over a decade, moving from one in-depth article to the other without really taking the time to give our readers a straightforward handbook to understand this practice and harness its potential. As industry veterans, we'd like to share our two cents on product analytics. ‍