PostHog Reviews & Product Details

I liked the fact that, in addition to meeting the specific needs I needed for experimentation, Posthog offers quite powerful web analytics capabilities. This has helped me obtain more accurate campaign data, which I consider a huge benefit. Review collected by and hosted on G2.com.

What we've struggled with is the implementation. It's a complex implementation, not as simple as experimentation tools more focused on marketers. But I believe it's predictable, since it's a tool more focused on developers.

Still, it gives us a lot of autonomy. And because we're using the self-hosted version, despite some missing features, we've had excellent monthly costs. (The cloud version also has reasonable costs compared to competitors.)

Having previously used other tools, I missed the cloud version's greater cost predictability. The usage per action or processing makes the bill difficult to predict. Review collected by and hosted on G2.com.

As the owner of a digital services agency, I appreciate PostHog from two distinct perspectives. Many of my clients find significant value in their free tier, which offers high-quality features, while some of my larger clients rely on PostHog for complex configurations that other applications are unable to support. I value PostHog's versatility, as it provides substantial benefits to small businesses and is also a top choice for larger enterprises. Review collected by and hosted on G2.com.

The configurations can be quite complex, and I also find it difficult to calculate the pricing. Review collected by and hosted on G2.com.

I really like PostHog's flexibility and effective tracking. It provides clear visibility into user behaviors and conversions, with strong analytics that are easy to use and don't require constant tech support. All of our team can use it effortlessly and can build custom dashboards. The initial setup was fairly easy, and we were able to start collecting data instantly. Review collected by and hosted on G2.com.

PostHog has been a nice learning curve for non-tech people like me, particularly for advanced analytics, and the interface can feel complex. More guided onboarding by the PostHog team and simplified reporting for non-tech users would be more than welcomed improvements. Review collected by and hosted on G2.com.

I like PostHog's competitive pricing features. As a bootstrapped startup, this is especially valuable for me because it allows starting at zero and expecting to grow, which is a fantastic idea. Review collected by and hosted on G2.com.

I think the concept of supporting server-side rendered applications combined with JavaScript could be a little clearer. The docs are good, but they're not great. We can have much better documentation, especially when referring to Python or Django applications. I think the mixing of the environments is not well supported. Also, the initial setup was easy, but it could have been easier with more clarity on the documentation side or clarity on what the docs are requiring. Review collected by and hosted on G2.com.

I appreciate the easy setup of PostHog, which is important when trying out experimental APIs. It's straightforward to see events coming into the console, making the process of getting started quite smooth. I also find the intuitive use beneficial, especially for features like session replay, which my team was seeking. The analytics and screen replay capabilities have been valuable, and I'm considering consolidating our current tools, including Firebase Analytics, to just use PostHog due to these features. Review collected by and hosted on G2.com.

I don't like the lack of Java support. I know everyone's using Kotlin, but I'm working with legacy code. I was able to find an implementation solution in the comment section, but maybe consider adding this to the doc for people working on old systems. Review collected by and hosted on G2.com.

I really like that PostHog gives me clearer analytics than Google Analytics and is easier to install. I enjoy managing the dashboard views and the ability to generate them with AI, plus the session replays are indispensable for improving the quality of my application. I value the great free tier, the easy integration, and all the options and facilities that the platform provides. I am impressed that the AI installer in React works very well and that the AI in the platform helps a lot in creating insights and managing information that initially might seem unrelated. I also appreciate being able to quickly track identified user profiles, seeing all their events and errors. Review collected by and hosted on G2.com.

I think there are many tabs that seem to refer to logs, and sometimes it can get confusing, or there is no check for errors that is an "ACTION REQUIRED" which could be used to trigger an alert. Review collected by and hosted on G2.com.

I use PostHog primarily for product analytics and also for LLM analytics and session recordings. I find it pretty easy to use and set up, and I appreciate that it's an all-in-one solution. The UX/UI is simple to understand, and whenever I'm stuck, its AI is very good at getting me back on track. The help docs are pretty good, though it's usually simpler to ask the AI. I like that it provides a single UI for many analytics-related tools. I've used it for product analytics, LLM analytics, and session recordings, but it can also handle web analytics, revenue analytics, heatmaps, and more. It serves as a data warehouse, providing a single point of access to all my data. I also enjoy their communication style as it's very casual, fun, and straight to the point, which makes using the app enjoyable. There are many tiny details that frequently make me say wow. Review collected by and hosted on G2.com.

The first times I tried to create my own charts, I had a hard time understanding what types of chart/analysis I should use. Luckily, its embedded AI helped me do it. But the naming of the buttons/UI elements did not make it intuitive. Additionally, when using the LLM analytics there were some costs differences between what was displayed in the UI and my calculations given OpenAI rates. Differences were small, but I wasn't able to conciliate them. Also, in LLM Analytics, you have to click each message to see its content. When checking long conversations, it's annoying to have to scroll down to click on the message, scroll up to see its content, scroll down to click the next message, scroll up to see its content, and so on. There should be a better way of visualizing the conversation. The LLM feature is new in PostHog, so hopefully they are still iterating on it. Review collected by and hosted on G2.com.

Honestly, what I like best about PostHog is that it keeps everything in one place. I don’t have to bounce between separate tools for analytics, session recordings, and feature flags—it’s all connected, and that makes it way easier to actually use the data. Review collected by and hosted on G2.com.

What I dislike about PostHog is that sometimes it feels a bit heavy or rough around the edges. Because it does so many things in one platform, not every feature feels equally polished. For example, the UI can be a little overwhelming at first, and it takes some digging around to really understand where everything lives.

Another thing is performance—depending on how much data you’re tracking, queries can be slower than expected. It’s not a deal breaker, but when you’re trying to move quickly, that lag can be noticeable. Review collected by and hosted on G2.com.

I like that PostHog is developer-first, which I find quite important. The brand itself is also very strong with the hedgehogs. It's very helpful that PostHog supports many different features or product lines, preventing the need to manage multiple separate services. This all-in-one platform approach makes it much easier for us, especially when we were evaluating other options that lacked feature flag capabilities. Review collected by and hosted on G2.com.

I think the developer documentation is quite complicated. There are multiple different options for me to set up integration that includes using React JS, but there's also a Next JS guide. Not every single guide has full support for the framework you're using. It was confusing to figure out if I should use the native JS library or React, which is the preferred way. There were some instantiation issues, and the examples and documentation weren't too great. The initial setup was easy because there's an extra JS page, but integrating different features and functionalities became a little bit more complicated. Review collected by and hosted on G2.com.

I like that PostHog makes it extremely easy to enable analytics by just adding a single file file. The onboarding process is one of the best I have seen, as it doesn't require switching between multiple windows and gives API keys directly in the onboarding flow. I also appreciate how intuitive the UI is and the value of user recordings for my use case. The feature of being able to quickly verify integrations and the simplicity of adding analytics are really beneficial. Switching from Google Analytics to PostHog was a relief because PostHog is more intuitive and offers a smoother experience. Review collected by and hosted on G2.com.

I think the dashboard could be improved. There could be a more discoverable question mark icon which explains the entire chart for my specific app. Many times the titles are not directly very intuitive. Another thing is the onboarding could include a step that allows you to track custom objects, like whether the user is disabling a feature flag or not. Also, in the onboarding, there could be a copy button that allows you to directly provide the step to cloud code, removing the manual copying and pasting of code snippets. Review collected by and hosted on G2.com.