Open source product analytics
PostHog keeps you in control of customer data. Works with your event pipelines and data warehouse.
Track events automatically
Define any clicks or pageviews retroactively and see historical data since you installed PostHog.Docs →
Monitor core metrics
Build dashboards with everyday metrics like sign-ups, purchases and conversions.Docs →
Ingest data from multiple sources
Reliably ingest data at any scale, parsing and filtering to build a holistic view of your customers.Docs →
Normalize & push data anywhere
Move data through PostHog to BigQuery, S3, Snowflake, or Redshift.Docs →
Our hosted solution scales to billions of events per month, receives automatic upgrades, and is managed by our team.
Private cloud deployment
Run PostHog on your own private cloud with one of our install scripts, or get running on Heroku with a one-click install.
Keep data on your infrastructure
Customer data stays on your servers. You’re in total control of your PostHog instance.
With self-hosting, you can also circumvent ad blockers and browser privacy features.
Rely on fewer third-party subprocessors. Host in any region on the planet. Optionally self-host to keeps customer data on your infrastructure. Reduce the burden when audit season rolls around.
Full access to your data
Our API and direct SQL access allow full access to your production instance.Docs →
Monitor the impact of product changes
Group data by customer plan, traffic source, or any other user property.Docs →
Bucket groups of users who completed (or didn’t complete) a step. Switch over to another PostHog app for further analysis into a user segment.Docs →
Visualize how traffic flows
See common user paths and discover how visitors arrived at their outcome.Docs →
See a timeline of a user's activity
User timelines offer a full history of what happened and how they got there - valuable for debugging issues and understanding context.Docs →
Group users by lifecycle
Drill down into activity of individual users within a cohort. Further break down a bucket of users to identify root causes of behavior.Docs →
KPIs by LTV
By tracking revenue for individual users, you can attribute a dollar amount to feature usage. Coming soon.
Roll out features safely
Toggle features for cohorts or individuals to test the impact.Docs →
“Why did our traffic spike?”
Mark new releases and more in your data, so you can understand their impact later.Docs →
See customers using your product
Watch exactly what users are doing without infringing their privacy.Docs →
Send data where you need it
Export data for long-term storage or make your customer data available in other tools.Docs →
Get your data into shape
Enforce schemas, parse data based on fields, and standardise taxonomies.Docs →
Create your own plugins
Our APIs make it easy to access your data to use it however you need it.Docs →
Enrich your data with external signals
Ingest ancillary data from other sources that are helpful in creating a more complete picture of what happened and why.Docs →
- Email scoring
- User agent enhancer
- GitHub star sync
- GitHub release tracker
- GitLab release tracker
- Bitbucket release tracker