Product analytics with autocapture
PostHog is the only product analytics platform built to natively work with session replay, feature flags, experiments, and surveys.
- gathers 30% more data than with Google Analytics - "We could autocapture... events using the JS snippet and... configure custom events." 
- improved conversion rates by 10-20% - "we observed drop-offs at very particular stages of our onboarding flow." 
- increased registrations by 30% - "From [funnels], we could easily jump to session replays to see the drop-off point." 
 - manages features and developer relations - "...top-to-bottom view of conversion rates and user paths, without... extra setup time." 
Features
Find drop-off across a series of actions
- Filtering- Set filters for individual steps – or the entire funnel – by person property, group or cohort, or event property 
- Graph types- Track user progression between steps, conversion time between each step, and how a funnel’s conversion rate changes over time 
- Step ordering- Choose between a sequential series of steps, a strict order, or any order of steps that lead to conversion 
- Granular controls- Set conversion window limit, add exclusionary steps, set attribution type, and see the relative conversion rate between each step 
- AutocaptureAdd PostHog.js to your website or web app to track all event data and retroactively define events
- Data visualizationFilter data by person property, group data, and use formulas in queries
- SQLUse PostHog’s filtering interface or switch into SQL mode for more powerful querying
- Dashboards and insight subscriptionsShare insights with teams, and get updates when results change
- Group analyticsAnalyze how any group of people (like an organization) use your product
- AI engineeringIntegrate with existing monitoring tools and track latency, cost, and model performance
Answer all of these questions (and more) with PostHog Product analytics.
- How do I calculate new vs returning users?
- What’s my churn rate? / How can I lower my churn rate?
- What features have the highest churn?
- Which of my features increase user retention?
- How do I track ad conversion?
- How can I find my power users? / What are my power users doing differently?
- Where do my users spend the most time on?
- How do I get insights about my data using regex?
- How are my metrics changing over time?
- How does the usage of two feature compare?
- How does last week's release affect engagement?
- Which step(s) have the highest friction or time to convert?
- What long-term patterns are we seeing?
- Which cohorts can we find from usage patterns?
- How are changes improving my activation flow?
- How do event properties change over time?
- How is seasonality affecting conversion?
- How do far are my users scrolling down my app?
- How to I track performance marketing?
- How are my ads converting to paying customers?
- Which parts of our product are people using?
- Where are users getting stuck?
- How do I measure growth loops?
- What events correlate to success in my product?
- What properties correlate to success in my product?
- How many users return to use my product each day?
- How many users return to use my product each week?
- What features do users come back to use?
Usage-based pricing
Use product analytics free. Or enter a credit card for advanced features. 
Either way, your first 1,000,000 events are free – every month.
Free
No credit card required
All other plans
All features, no limitations
Events
1,000,000/mo
Unlimited
Features
Dashboards
Funnels
Graphs & trends
User paths
Limited
Insight & dashboard subscriptions
Advanced paths
Correlation analysis
Lifecycle
Data retention
1 year
7 years
Person profiles
Add-onAvailable
Group analytics
Add-onAvailable
Data pipelines
Add-onAvailable
Monthly pricing
First 1 million events
Free
1-2 million
$0.0000500/event
2-15 million
$0.0000343/event
15-50 million
$0.0000295/event
50-100 million
$0.0000218/event
100-250 million
$0.0000150/event
250 million+
$0.0000090/event
FAQs
PostHog vs...
So, what's best for you?
Reasons a competitor may be best for you (for now...)
- Time-based analysis for web analytics (e.g. time on page)- (We're working on this!)
 
- Natural language processing for creating insights
- Predictive analytics for extrapolating events into the future
- Alerting for when events move beyond set thresholds
Reasons to choose
- Linking between analytics and other features, so you can jump from a graph to a relevant recording
- Wide range of insight types for analyzing data
- Formula mode and SQL access to enable deeper analysis
- Automatic correlation analysis to find significant events
- Group analytics for teams with B2B customers
Have questions about PostHog? 
Ask the community or book a demo.
Featured tutorials
Visit the tutorials section for more.
- How to calculate and lower churn rate - In this tutorial, we will calculate and visualize the churn rate then use PostHog’s features of session recordings, cohorts, and actions to lower it. 
- How to filter and breakdown arrays with HogQL - Arrays (AKA lists) are a useful way to store multiple values related to each other under the same key. PostHog's HogQL expressions unlock the ability to make full use of them. 
- Calculate bounce rate - Bounce rate is the percentage of users who leave your page immediately after visiting. It is a popular marketing metric showing the relevance and engagement of content for site visitors. 
- How to calculate DAU/MAU ratio - The ratio of daily active users over monthly active users shows what percentage of your users are active and use your product every day. 
Install & customize
Here are some ways you can fine tune how you implement product analytics.
Explore the docs
Get a more technical overview of how everything works in our docs.
- Product analytics 
- Analysis views 
- Tools 
Meet the team
PostHog works in small teams. The Product Analytics team is responsible for building product analytics.
(Shockingly, this team prefers their pizza without pineapple.)
Roadmap & changelog
Here’s what the team is up to.
Latest update
Sep 2024
Long dashboard lists will now load 93% faster
If, like us, you have a lot of dashboards (412 in our case) then you may have noticed that viewing the main dashboard page can sometimes take a while to load. No more!
All it took was a little bit of complaining in our internal Slack and suddenly Michael couldn't help himself – he made a few tweaks and, voila, dashboard views now load 93% faster.
Questions?
See more questions (or ask your own!) in our community forums.
- Question / TopicRepliesLast active
Pairs with...
PostHog products are natively designed to be interoperable using Product OS.
Session replay
Jump into a playlist of session recordings directly from any point in a graph, or segment of a funnel
Feature flags
See which feature flags were enabled for a user during a session
Experiments
Filter data down to users within an active experiment, whether part of a control group or a test variant
This is the call to action.
If nothing else has sold you on PostHog, hopefully these classic marketing tactics will.
PostHog Cloud
Digital download*
Notendorsed 
by Kim K
*PostHog is a web product and cannot be installed by CD.
We did once send some customers a floppy disk but it was a Rickroll.