What is LogRocket and what does it do?

Updated

LogRocket is a session replay and product analytics platform for web and mobile apps. It records what users actually did and saw, then uses an AI layer called Galileo to surface the technical and UX issues causing friction. It's built for product, engineering, and UX teams that need to find and fix user-impacting problems without manually digging through sessions.

What LogRocket does

The platform combines several capabilities that are usually separate tools:

  • Session Replay — Captures every event and activity automatically. You get DOM playback alongside console logs, network logs, errors, and performance data, so you can see exactly what a user experienced.
  • Galileo AI — Watches sessions proactively, surfaces issues impacting users, analyzes severity across real sessions, and delivers reproduction steps so a team can act immediately.
  • Product Analytics — Build conversion funnels, path analysis, and timeseries to understand behavior, then drill into individual sessions to see why.
  • Issues — Proactively identifies technical and UX issues, lets you focus on the parts of your app most relevant to you, and points to the exact changes needed.
  • UX Analytics — Combines qualitative and quantitative views of the experience at both individual and aggregate levels.
  • Error Tracking — Shows the most frequent errors, network failures, and crashes, with Galileo AI filtering noise so you can prioritize.
  • Frontend Performance Monitoring — Correlates frontend performance with user experience impact, with telemetry, charts, and dashboards for debugging.

How the pieces fit together

The value is in the connection between them. Analytics tells you where users drop off or struggle; session replay tells you what happened in those specific sessions; error tracking and performance monitoring tell you why at the technical level. Galileo AI sits across this data to flag problems before users report them, rather than waiting for a support ticket.

A concrete example: a checkout funnel shows a drop-off at the payment step. You filter to those sessions, replay one, and see a network request failing silently while the UI stays unresponsive. The error tracking view confirms the failure frequency, and performance telemetry shows whether it's a timing or payload issue. That chain — from aggregate metric to individual session to root cause — is the workflow LogRocket is designed around.

Who it's for

LogRocket targets teams building and improving apps:

  • Engineering — surface user struggle, debug with full session context, and cut through noisy errors.
  • Product & UX — optimize conversion and adoption, and understand what separates a good experience from a bad one.

The site states it's used by 3,000+ customers, with case studies including 7-Eleven (optimizing conversion efficiency in self-checkout) and Appfire.

Getting started

The site offers a free start and a demo option, with onboarding described as taking minutes. Pricing details are available on the LogRocket pricing page — check there for current plans and limits rather than assuming what the free tier includes.

If your team is choosing between session replay tools, the practical comparison dimensions are: whether replay is tied to analytics and error data in one place, how much setup the SDK requires, and whether the AI layer actually reduces the manual triage work or just adds another dashboard.