Product analytics? PostHog does that.

Funnels, path analysis, trend charts, retention graphs, and more

We’re tracking how users engage with our platform, where they fall out of our funnels and what the overall trends in behavior are. The data we’ve gathered has helped us make several important decisions about where to improve our platform.

Tiffany Wong

Co-founder, Pry

Funnels

Find drop-off across a series of actions

Filtering
Set filters for individual steps – or the entire funnel – by user 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

Graphs & trends

Visualize user data with graphs, tables, charts, maps, and more

Trends
Plot any event over time, such as a feature being used. You can even do math and multiple series
Advanced filtering
Apply however many filters you need to or breakdown by any event, user or group property with advanced logic
Breakdown tables
Break out your trends by any event property
Querying
Speed up long running queries across large datasets in one click, if you want to

User paths

Set start and end points to see how users navigate your product, website, or conversion funnel

Step insights
See who dropped off at each step, who did or didn’t complete a step, and the drop-off rate
Wildcard groups
Group similar steps into a mega-step (where any of a group of events can trigger a step)
Exclusion events
Prevent specific events from appearing in a path
Granular controls
Visualize any sequence of page views, screen views or events, with up to 20 steps

Correlation analysis

When analyzing funnels, correlation analysis highlights significant events or properties that may be useful in determining how likely someone is to converting or churning.

More insight types

Retention, stickiness, and lifecycle views

Retention
See how many users return on subsequent days after first visiting your site or product
Stickiness
Learn how many times users perform a specific event in a period of time
Lifecycle
Discover how your active users break down, highlighting those who have recently stopped being active or those who have just become active for the first time

Dashboards

Dashboard filtering
Filter saved insights on a dashboard by anything - event properties, user properties, cohorts - even if a feature flag was active during a user’s session
Embeddable dashboards with auto-refresh
Embed a dashboard iframe and always have near-realtime data - great for showing KPIs on a TV
Weekly updates by Slack or email
Send dashboard updates to a Slack channel or to colleagues via email at any recurring frequency
Access restrictions
Limit dashboard access with role-based permissions or using private projects
Customizable layouts
Configure how many insights appear per row or column

Autocapture
Add PostHog.js to your website or web app to track all event data and retroactively define events
Data visualization
Filter data by user property, group data, and use formulas in queries
SQL
Use PostHog’s filtering interface or switch into SQL mode for more powerful querying
Dashboards and insight subscriptions
Share insights with teams, and get updates when results change
Group analytics
Analyze how any group of people (like an organization) use your product

Pairs with...

PostHog products are natively designed to be interoperable using Product OS.

PostHog vs...

How does PostHog Product analytics compare?

	Amplitude	Mixpanel	Heap	Pendo	PostHog
Funnels
Conversion funnels
Historical trends
Time to convert insights
Sequential step order
Strict step order
Any step order
Exclusion events
Conversion windows
Reveal user paths between steps
Anomaly detection
Filter internal and test users
Filter by cohort
Filter by user property
Breakdown by user property
Correlation analysis
Path analysis
Reveal paths from a start point
Reveal paths from an end point
Reveal paths between points
Reveal paths within funnels
Zoom in/out
Define number of users on path
Track pageviews
Track custom events
Filter internal and test users
Filter by cohort
Filter by events or user property
Include and exclude Wildcards
Exclusion events
Hide repeating steps
Regex for path cleaning
Max number of steps	50	120+	10	20	20
Dashboards
User-level permissions
Project-level permissions
Dashboard-level permissions
Share dashboards externally
Embed dashboards anywhere
Subscribe to dashboards
Pinned dashboards
Dashboard & insight tags
Webhooks
Annotations
Private insights
Apps / Integrations	70+	50+	40+	40+	50+

Docs & resources

Visit docs

Product analytics docs

Tutorials

Blog posts that mention Product analytics

Roadmap

Here's what the Product Analytics Team is building next.

Data table exploration
We're building an insights-like search functionality for everything qualitative. That means people, recordings, cohorts, events, and groups. This will enable you to search using simple sentences to easily find anything in PostHog. Additionally, you can trigger context-sensitive actions - such as creating cohorts from results.
Progress