See how many people enter a flow — and where they drop off.
Fix (and find) drop-offs
Identify where users fall out of a funnel, so you can make improvements where it really matters.
Powerful filtering
Filter by user cohorts, specify a strict sequence of steps, or allow events to be tracked in any order.
Correlation analysis
Understand the properties and previous behaviors that successful or unsuccessful users have in common.
How do PostHog Funnels compare?
Swipe right to compare.
| Amplitude | Mixpanel | Heap | Pendo | PostHog | |
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| Free plan | |||||
| Open source | |||||
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| Product analytics | |||||
| Funnels | |||||
| Conversion funnels | |||||
| Historical trends | |||||
| Time to convert insights | |||||
| Sequential step order | |||||
| Strict step order | |||||
| Any step order | |||||
| Exclusion events | |||||
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| 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 |
“We observed drop-offs at very particular stages of our onboarding flows, as a result, we took several actions such as moving these steps further down the funnel. These changes helped us deliver a 10-20% improvement in our conversion rate.”
Instant realtime GraphQL APIs
Rikin KachhiaSoftware Engineer, Hasura