PostHog: pricing, pros and cons
PostHog bundles product analytics, session replay, feature flags and experiments into one open-source platform, replacing a whole toolchain. Each product meters separately.
- Price
- Usageestimate
- At 50 people
- Depends on usage
- Free tier
- YesOne million events a month free, which covers most early-stage products.
- Website
- posthog.com
NoteEach product is metered separately, so the bill has several independent lines.
Specification
What PostHog supports
The dimensions every analytics tool in our catalogue is compared on.
- Data model
- Events
- Works without cookie consent
- No
- Session replay
- Yes
- Funnels and retention
- Yes
- Real-time reporting
- Yes
- Default retention
- 12 months
- Raw data export
- Yes
- SAML single sign-on
- Yes
- SOC 2
- Yes
- EU data residency
- Yes
- Self-hostable
- Yes
- Open source
- Yes
- Public API
- Yes
- Native mobile apps
- No
The honest assessment
PostHog: pros and cons
Consolidates a whole toolchain, at the cost of a bill with several independently growing lines.
What it does well
- Replaces four separate subscriptions — analytics, replay, flags and experiments
- Generous free tier that real products can run on for a long time
- Open source and self-hostable, so data residency is your decision
What it costs you
- Usage-based pricing across several products makes the bill hard to predict
- Aimed at product teams — marketers will find it unfamiliar
- Self-hosting is only supported at meaningful scale on Kubernetes
Fit
Who PostHog suits
Choose it if
- Product and engineering teams who would otherwise buy four tools
- Early-stage products that fit inside the generous free tier
Look elsewhere if
- Marketing teams who need familiar web-analytics reporting
- Companies who need a predictable, single-line monthly bill
Head to head
PostHog compared
Direct comparisons against every other analytics tool we cover.
4 alternatives
Other analytics tools worth a look
Everything else we cover in product & web analytics, cheapest first.
Questions
PostHog, answered
What is PostHog best for?
Product and engineering teams who would otherwise buy four tools. Early-stage products that fit inside the generous free tier. In short: product analytics, session replay, feature flags and experiments in one open-source platform.
What are the downsides of PostHog?
Usage-based pricing across several products makes the bill hard to predict. Aimed at product teams — marketers will find it unfamiliar. Self-hosting is only supported at meaningful scale on Kubernetes. The trade-off in one line: Consolidates a whole toolchain, at the cost of a bill with several independently growing lines.
How much does PostHog cost?
PostHog is not priced per seat — it is priced on usage rather than headcount, so what you pay depends on volume rather than how many people log in. Each product is metered separately, so the bill has several independent lines. Model it against your own numbers before comparing vendors.
What are the best PostHog alternatives?
In product & web analytics the credible alternatives are Fathom Analytics, Google Analytics 4, Matomo, Plausible. Which fits depends on your team size, budget and non-negotiables — our questionnaire ranks all of them against your answers in about three minutes.
Is PostHog worth switching away from?
Only if one of its real drawbacks is costing you something concrete. Consolidates a whole toolchain, at the cost of a bill with several independently growing lines. If none of the downsides above describe your situation, staying is almost always cheaper than moving — a migration costs weeks, and a tool that merely annoys you is not worth them.
Prices are unverified estimates — useful for comparing orders of magnitude, not for budgeting. Confirm the current figure with the vendor before you commit to anything.
Is PostHog still the right call for your team?
Answer about a dozen questions and we will rank PostHog against every alternative in product & web analytics — with the reasoning shown, and the cost of switching at your actual seat count.