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EnglishHow LogRocket's Session Replay, Product Analytics, and Error Tracking Differ
Updated
LogRocket bundles several distinct capabilities under one platform, and they answer different questions. Session Replay shows you what a specific user experienced — DOM playback plus console, network, error, and performance data. Product Analytics shows you what users do in aggregate — conversion funnels, path analysis, and timeseries. Error Tracking shows you what is breaking — the most frequent errors, network failures, and crashes, prioritized so you know what to fix first. They are designed to be used together: aggregate data points you to a problem, and session replay lets you drill into an individual session to see it happen.
The three modules side by side
| Module | Question it answers | What you get | Best first use |
|---|---|---|---|
| Session Replay | "What did this user actually see and do?" | DOM playback, console and network logs, errors, performance data, captured automatically | Debugging a reported bug or a confusing support ticket |
| Product Analytics | "How do users behave across the funnel?" | Conversion funnels, path analysis, timeseries, drill-down into replays | Finding where users drop off or take unexpected paths |
| Error Tracking | "What is breaking, and how badly?" | Frequent errors, network failures, crashes, AI-assisted prioritization | Triaging noisy error streams down to what needs immediate attention |
Two adjacent modules round out the picture. UX Analytics visualizes experience at both the individual and aggregate level, combining qualitative and quantitative signals. Frontend Performance Monitoring correlates frontend performance with its impact on user experience, with telemetry, charts, and dashboards to track changes over time.
How they connect in practice
The value is in the path between them, not in picking one. A typical loop:
- Product Analytics surfaces a drop-off in a conversion funnel or an unusual path through your app.
- You drill down with session replays to watch individual users at that exact point and see what they encountered.
- Error Tracking tells you whether a technical failure — an error, network failure, or crash — explains what you saw, and how widespread it is.
- Frontend Performance Monitoring confirms whether slow rendering or load times contributed.
LogRocket's AI layer, Galileo, sits across this workflow: it proactively identifies technical and UX issues impacting your business, analyzes severity across real sessions, and delivers reproduction steps so your team can act. That is the mechanism that connects the modules — instead of you hunting for the session that explains a metric, the AI surfaces candidate issues and hands you the context.
Which module fits your situation
- You have a specific bug report or a user complaint you can't reproduce. Start with Session Replay — the automatic capture of DOM, console, network, and errors is what makes an unreproducible report reproducible.
- You know something is wrong with conversion or adoption but not where. Start with Product Analytics to locate the funnel step or path, then drop into replays.
- Your error stream is too noisy to act on. Start with Error Tracking and let prioritization cut it down to the problems needing immediate attention.
- You suspect speed is the problem. Start with Frontend Performance Monitoring and correlate it against experience data.
- You want the platform to point at problems for you. Galileo is the entry point — it watches sessions and surfaces issues with severity and reproduction steps.
What to verify before committing
LogRocket states it is used by 3,000+ customers and rated #1 for session replay and analytics, and it offers a free start and a demo path. Pricing details are published on its pricing page, so check current plan limits and which modules are included at each tier before deciding — module coverage and session volume are the two things most likely to change what you actually pay. If your priority is purely aggregate behavior analytics, confirm how Product Analytics is bundled; if your priority is debugging, confirm replay capture and retention limits.