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PostHog Reviews: 4.4/5 — Solid Choice
PostHog is an open-source analytics platform designed to help software teams understand user behavior, improve products, and drive growth. It offers a suite of tools for event tracking, heatmaps, session recording, and feature flags, enabling developers and product managers to gain insights into how users interact with their applications.
PostHog is also often used as Product Analytics of choice in Indie Hacker and Product Management tech stacks.
| Capabilities |
API
CLI
OSS
|
|---|---|
| Segment |
Small Business
Enterprise
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| Deployment | Cloud / SaaS / Web-Based, On-Premise Linux |
| Training | Documentation |
| Languages | English |
Compare PostHog with other popular tools in the same category.
Gives us great insights into how our customers are interacting with our platform
Nothing major yet! Only minor pet peeve is how many clicks it takes to get to some filters
Debugging customer issues by reviewing the steps they followed, so we can recreate it at our end
Funnel tracking across pages to find drop-offs. Also, discovering navigation patterns our users take that were not intended which puts us in an easy position to make those experiences more streamlined. Robust way for a developer to add tracking for long-term tracking. No-dev-code for tracking short-term experiments/insights.
Not really a downside, but at my company, there has been slow full adoption and effort put into standardizing how we add events. I don't really have any dislikes of the product.
It is an easy way to track the success of a feature, who the champion is (the customer who uses it the most), and general insights and trends of specific features as well the app holistically. We also use it for quarterly OKRs.
I like session recordings - they let me see how exactly users are interacting with features and depict clearly at which points of a particularly workflow they are experiencing frustrations
The dashboarding tools could definitely be more comprehensive. I would like to be able to reorder the bar charts when displaying my data using that. The dashboards could also look better.
PostHog is helping my team and I to understand how users are interacting with our product, and what the areas for improvement are. We have also used it for tracking which accounts are currently facing issues.
PostHog allows for multiple dashboards and segmenting things by various projects. I like the ability to see groups of various dates to see how performance is going for various metrics
1. No ability to sum up multiple metrics in one dashboard. 2. No ability to compare periods - i.e. last 7 days vs previous 7 days. 3. Exported data in gsheets gets put in horizontally vs vertically making it hard to pivot/organize
PostHog is allowing us to view aggregate user behavior and adoption rates of various versions of our product - usage, active users, conversion rates, UTM sources, etc.
Recordings of user interaction with our website to understand friction points and allow us to easily run A/B testing to improve those signup flows with our product
Limited flexibility when building reports/insights as they are called in here. Sometimes you want to create breakdowns in more than one way or set more complex conditions to your Funnels for the insights that kinda limit the reports you are able to get
Understand customer interaction with out website and learn from them what features is most beloved or needs improvements. We want to know also the source and all the interactions customer make before purchase
I like that Posthog is working fast and you have a lot of options to configure visuals for your data. It’s easy to add in to your React-based application. You have good articles about using posthog, I’ve learned some recipes to get data about users behaviour.
But I see a lot of options when I’m creating graphs that are not really helpful, I don’t understand how to use them. I can’t see and configure what data is collected by Autocapture. This is a great feature, but it’s not clear what kind of info is taken when a user is clicking somewhere, going to another page or something else. I’ve also seen some strange things, like there is an action in Posthog that shows that “user is clicking on the svg”, but this should be an action that the user is “clicking on the button”, this is material-ui and svg is inside <button> tag. Looking forward to more tips and examples on how to use your application. Sometimes Posthog is unavalaible, I don't know is it maintence or server problems but I just seeing 504 error and white screen.
I know what features are most popular between our users in our product. I can see their flow across pages. I can see when people are working with our product, how many content they are creating on regular basis.
It's the only analytics platform I have used, but for me, the ease of set-up was the best part (going from sending events to creating dashboards). Also I very much like that you can get cohort retention out of the box.
In some cases, it's difficult to express the exact metric that I want. I remember struggling to get "or" conditions (e.g users that have performed either of two actions)
We use PostHog in order to track how / if users are using our product.
Cohort creation, real-time analytics (vs GA), better UI, simpler
Sometimes buggy and/or slow to load. Nothing else to add!
Real-time analytics for tracking user funnels. We used GA, which has a confusing UI, and we strongly prefer PostHog for usability and quality.
The events and insights that can be generated using the tool, connected to existing recordings. This ease of navigation, which was a recent evolution in the interface, manages to make investigations much easier.
The new charging model for recording videos doesn't make much sense. The video recording tool itself has some inconsistencies. Sometimes it is very difficult to deal with data masking and many things generate uncertainty about what is happening in the application and what is not being captured in the
Connecting everything that happens to data, both user behavior and what happens in our backend. This broad view helps us to be more assertive to evolve the product.
feature flags allow for smoother delivery pipeline
Can't aggregate multiple subdomain data using wildcards.
Releasing parts of new features and hiding them from production user until ready.
Well written product documentation and PostHog being and open OS product, easy to integrate with other tools.
Slighly confusing UX in a few places (i.e. dahsboards) and lack of optimal tools to create time-based queries and cohorts.
Helps us to deply analytics at scale
Very flexible insight and report, especially the user path and funnel, the dashboard subscribe can auto send the report weekly. Feature flag and experiments are very easy to run a AB testing.
Unlike GA, Posthog cannot easily integrate with the Google search console, and the source analytics are still too weak. SOC2 and ISO27001 are key certifications for us, but Posthog doesn't have them right now.
Group analytics is really helpful for us, since our system is multi-to-multi structure, the multiple group analytics can give more dimension to see the customer performances.
Easy setup and the interface is intuitive.
Sorting through recordings can be a challenge
Creating recordings of user sessions interacting with our site is very valuable for troubleshooting and ux
Insights Ability to track page elements and mapping to user actions Experiments
Recordings require a lot more work to make them seamless and bug-free Speed of the platform
Analytics Insights Recordings A/B tests
It's a very complete tool for SaaS companies
Feature flags for multiple environments is not fully supported
Feature flags mainly for now, and user recordings
It's easy to use, cost-effective and video recordings are great. I really like the ability to creat and share insights with the company. Compared to other analytics tools it was a lot easier to understand.
My biggest issue is that Posthog can only breakdown metrics with one field. This significantly reduces the insights that can be made from the data.
Enabling our company to obtain meaningful analytics so we can understand our customers and get insight to lead our product roadmap
All web/mobile tracking in one place, all touch points
Setup can be cumbersome, and real-time tracking is not as seamless
tracking web data, and construct marketing funnels
The best thing about PostHog is how complete the solution is, with an excellent UI design. It is fascinating how they combined several tools into one without a cluttered interface.
There are not many downsides to PostHog compared to other solutions. One thing I think can be improved is the data insights screen. Combining multiple insights into one graph could be more accessible for comparison reasons.
PostHog is helping us analyze how our users use the application and troubleshoot bugs by analyzing the frequency of behaviors. We feel more productive with PostHog.
Very user friendly and has many helpful features for product analytics. Would recommend for other PMs.
Sometimes can feel a bit slow but nothing major.
Better understanding of our product
i enjoy the ability to track events within the platform and track KPIs
there is a high learning curve and I defer to our data specialist to pull information
posthot is giving us additional views of how users are engaging with our application
The way to breakdown cohorts in Posthog is such a useful feature for me and my team. Being able to derive insights based on the different tier memberships we have is invaluable.
It does take a significant amount of time to test and track all the necessary events to on your platform/app to ensure that we receive accurate and valid data but having said that, it is worth the time!
Posthog gives us clarity on what our customers are doing beyond the very obvious metrics of upgrades and searches. We are able to full visualise the journeys that they go through from initial sign-up all the way to the myriad of our desired actions.
All features are in one place, charts, recording, feature toggles. Really smooth JavaScript SDK, no need for something like Segment.
I can't delete event types in data management that I created during testing, or no longer use. There are some bugs around merging anonymous and authenticated user identities, which caused me to alias users every time they identify. Missing DAU metric, and buggy WAU, MAU (number insight shows total count, not unique count, bug already raised in GH).
It's approchable for the rest of my team, who don't have product analytics experience. We're able to easily track conversion and retention when running new experimental features.
Being able to watch videos of product usage, good detailed stats on clients etc.
There are artefacts in the videos, where the displayed DOM doesn't match our site correctly
We can watch where users get stuck in our flows, which lets us better target our engineering efforts
Combines A/B testing, metric gathering, feature flags and session recording all-in-one. Does not have complicated or sneaky pricing like competitors do. Straightforward product.
Lacks maturity and stability. Some bugs in the dashboard that require logging out and back in. You don't have to dig deep to find missing features. After using it for just a couple weeks, found some features that were on GH with many votes but have yet to see the light of day. For example, there's no way to make a cohort by an event with a specific property.
How to make data-driven decisions and stop guessing which features convert more users. PostHog lets us run experiments with our users to optimize conversion in our app.
Auto capture and that you have an experimental feature. That really is the full stack and everything you would need to improve your product.
Implementation docs could have been a little more user friendly and cleaner.
Giving us visibility into user problems.
Love that it's self-hosted and having complete control of the data. The recordings are super useful, as is the fact that events are automatically captured and setting up custom ones is really easy.
Software is sometimes buggy and it fails to do certain chart types for some reason, e.g growth accounting doesn't work with filters, and I'm really missing some sort of ability to filter entire dashboards in one go.
Gives us insights into how users use our products, so we can make more informed decisions about how to prioritise new features and developments, and what get the most use.
I love how I can capture data from all my platforms and use it to make good decisons
I had to fork the library and use a custom dashboard to actually get all the analysis I wanted
Micro and Macro analysis. It allows me to capture data so easily
Post hog gives you amazing tooling right out of the box. Onboarding and setup was a breeze. It probably took me 5 minutes to get it launched on the website and start seeing the traffic. The screen recordings are an excellent feature for smaller businesses.
I think the downside is that the UI is a bit cluttered. I'm sure there is more it can do, but I find it pretty hard to navigate/discover features. Also, would be great to get some sort of access to basic SQL. I would love to run very basic counts. Possibly the feature exists and I've just not found it in the UI yet.
Using it to see how users interact with our site. Also for basic analytics around which of our blog posts are most popular for our readers. This shapes the direction of our content.
Basically its a open source product for analytics that what I like most. It is very helpful to build better products by collecting users events, session recording.
Something its not record customer events and session. Providing less space. Its very difficult to setup local environment.
Its help us to capture the user events by which we are analysis the user requirements clearly and can provide better products according to user need. And it also manage to maintain the logs of events done by user.
It is surprisingly easy to create detailed funnels and find the specific information about user behavior that you are looking for. The ability to have user recordings is fantastic and the flexibility with "space"
Finding individual users can be harder than you'd expect. For example, searching by the "email" property rarely brings up the users I would expect it to. This is likely my fault but it's not all that clear compared to the rest of the solution.
Through PostHog I have quantitative and qualitative data on what the users of my software are doing and I can have that data with relative ease. Analytics that were previously difficult for me to set-up as a Product Marketer are now easily within my grasp.