Product Analytics

Examples: Amplitude, Mixpanel, Heap, Pendo

LogRocket's autocapture analytics improves on traditional product analytics in two ways:

• Qualitative data complements quantitative analytics via session replay to provide a comprehensive understanding of user behavior and the "why" behind your analytics
• AI-powered struggle detection and insights help you find issues before they affect your analytics. Eliminate guess-and-check approaches to product improvements and provide a clear path to improving KPIs

What is Product Analytics?

Product analytics tools are used to provide a quantitative understanding of the behavior of users in order to inform decisions about how to improve product adoption or engagement. Product analytics tools fall into one of two categories:

• Tag-based analytics tools (e.g. Amplitude, Mixpanel) require you to specify the events you want to track. This allows high granularity, but it means you have to plan what you want to capture in advance, then rely on engineering to tag events; this can create difficulties when releasing a new product or feature. It means that you aren't able to answer new questions immediately, and can have blind spots if something happens outside of an event you've chosen to track.
• Autocapture (e.g. LogRocket, Heap, Pendo) captures all events automatically through a single code snippet. This makes all your data accessible at any time, allowing you to answer new questions about product usage in minutes. The downside here is that having access to all this data can be overwhelming. With so many options available, it's possible to get caught up in the noise and fall into the trap of analysis paralysis.

How is LogRocket Different?

In both tag-based and autocapture analytics, standard product analytics solutions tell yo uwahat users are doing, but they fall short when it comes to explaining why users are behaving in a certain way. This means that changing user outcomes ends up relying on a guess-and-check process of trying different tests to see which one(s) move the needle.

LogRocket's autocapture product analytics avoids the analysis paralysis trap with our AI-powered struggle detection. LogRocket's Galileo AI watches every session for you, proactively identifying the areas where users are stuck, frustrated or struggling, so you can immediately identify what to prioritize and how to fix the problem.

With integrated session replay, LogRocket also explains the "why" of user behavior in your analytics. For instance, if funnel analytics show a large number of users dropping out of your booking flow before clicking "confirm," LogRocket can show you sessions where users dropped off at that exact step. Maybe the "confirm" button is hidden below the fold for users with certain browser dimensions? Or users are getting frustrated by a long-running network request and dropping out before the booking can be confirmed? With integrated analytics and session replay you can be sure of the cause right away.