Easy to use, competitive pricing, great support.

Very easy to add to my software solutions. The docs are very, very clear, and the customer support AI agent is extremely helpful. Review collected by and hosted on G2.com.

Pricing plans could be easier to find. I initially thought it was very expensive but after engaging with support I was informed about a cheaper team plan.

In my mind, a team plan is always the more expensive option in a pricing structure. I am a sole employee software provider, so I did not consider the team plan to be applicable to me until I spoke to customer support. It ended up being the cheaper option for me. Review collected by and hosted on G2.com.

The most helpful feature for me is being able to look up sessions based on the pages a user viewed. When I’m working to improve the user experience, it’s extremely useful to see how real users navigate through our site and understand the paths they take. Review collected by and hosted on G2.com.

Like with many logging tools, I do worry about user privacy. That said, it does block out passwords and other sensitive information. Review collected by and hosted on G2.com.

LogRocket really appreciated how easy it was to implement and how fastest we could start collecting useful insights and platform gives our support and development teams a much clearer understanding of what customers are actually experiencing day to day. The interface clean and intuitive and its easy to locate specific session recording without any hassle, even for non technical users. Review collected by and hosted on G2.com.

The AI generated issue detection is helpful overall, but it does occasionally flag that aren’t actually probelms. I’d also appreciate having longer data retention without needing to upgrade to a higher prices plan. Review collected by and hosted on G2.com.

I think LogRocket has a lot of very useful tools when analyzing website data. One feature I really enjoy is the Galileo AI since it scans hundreds of different sessions while giving you feedback, without you needing to. Review collected by and hosted on G2.com.

Other than their custom events, it is often difficult to track certain steps, due to them being more complicated than just a simple URL visit or button click. This places a large obstacle when trying to make these charts due to the need for engineers for the custom events. Review collected by and hosted on G2.com.

What I like best about LogRocket is how easily it lets you replay real user sessions and see exactly what the user experienced when something breaks. It saves a ton of time during debugging because you can:

Watch the exact steps that led to the issue

See console logs, network calls, and errors in the same timeline

Correlate frontend behavior with backend failures

Reproduce flaky or environment-specific bugs much faster

Overall, it shortens the gap between “a bug was reported” and “I know exactly what went wrong,” which is huge for QA and debugging tricky issues. Review collected by and hosted on G2.com.

What I dislike about LogRocket is that it can sometimes be heavy and noisy, especially in complex apps:

Session replays can be slow to load or laggy at times

High data volume makes it harder to find the exact session you need without very specific filters

It can capture a lot of noise, so meaningful signals (the real bug trigger) aren’t always obvious

There’s some setup/maintenance overhead to get masking, sampling, and performance tuned correctly

Cost can scale up quickly as session volume grows

It’s powerful, but it needs careful configuration to avoid performance impact and to keep the signal-to-noise ratio high. Review collected by and hosted on G2.com.

I work closely on website performance and conersion initiatives and I really value being able to pinpoint where visitors hesitate during key steps in critical processes. LogRocket gives me clear visibility into customer journeys, making it easier to spot friction points and uncover opportunities that standard reporting tools often miss. Review collected by and hosted on G2.com.

I’d like to see more dashboard customization options in LogRocket, so different teams can tailor the metrics and views to whats most relevant to their specific responsibilities and everyday workflows. Review collected by and hosted on G2.com.

What I like most about LogRocket is how helpful it is for seeing customer issues in real time and troubleshooting them live. Instead of relying on screenshots or written descriptions, I can watch exactly what the customer experienced, understand the steps they took, and quickly identify the root cause of the issue. It makes debugging much faster, improves collaboration across teams, and helps deliver a better customer experience. Review collected by and hosted on G2.com.

There isn't anything I dislike about LogRocket. Review collected by and hosted on G2.com.

The session replays have been the most useful for us so far. We are able to track down exactly what a user did and proactively solve their problem. The Issues have also highlighted unreported bugs to us that we were able to address before our customers even noticed. Review collected by and hosted on G2.com.

There is so much in LogRocket that it will take us a while to fully understand how to fully use it besides the session replays. Review collected by and hosted on G2.com.

One of the things I appreciate most about LogRocket is how seamlessly it combines powerful monitoring with actionable insights, especially through two standout features: Galileo AI and Timeseries analytics. AI surfaces the right problems, and Timeseries shows how those problems are behaving over time.

This combination saves hours of effort each week and helps ensure we’re improving the product based on real user experience data, not guesswork. For anyone working in product, engineering, or support, these tools make LogRocket incredibly valuable. Review collected by and hosted on G2.com.

One of my biggest frustrations is that several advanced filters such as log message, element not visible, and a few other event-level filters are not retroactive.

This means that when I apply these filters, LogRocket cannot scan existing historical sessions, which reduces the usefulness of deep-dive investigations.

If I want to analyze older behavior or trace a past issue, these filters don’t help, For investigative work, this becomes a blocker.

The Issues page is one of my most-used areas, but the sorting is inconsistent.

The Funnels feature is powerful, but being limited to maximum 10 steps restricts the ability to map longer user journeys Review collected by and hosted on G2.com.

I’ve been using LogRocket for a few weeks now, and honestly, it’s become one of those tools I don’t want to work without anymore! For someone like me working in customer support, the session replay feature is the real game-changer. Being able to see exactly what a user experienced makes debugging and understanding issues so much faster and clearer. Instead of guessing or trying to reproduce bugs based on a vague user report, I can just watch the session and immediately understand what went wrong. It saves a ton of time and removes so much back-and-forth. I also really appreciate how much context LogRocket captures around errors, network requests, browsers, and user actions, which makes it so much easier to report the issues to our dev team. Review collected by and hosted on G2.com.

It would be great if session recordings could be shared with someone even if they don't have an account on LogRocket. Review collected by and hosted on G2.com.