PostHog
PostHog is an all-in-one product platform: analytics, session replay, error tracking, feature flags, experiments, surveys, and a managed data warehouse with a
PostHog is still the strongest value in product analytics. No competitor bundles analytics, session replay, feature flags, a warehouse, and error tracking under one monthly free tier that resets, and the context warehouse plus the Inbox/self-driving workflow is genuinely differentiated from Mixpanel, Amplitude, or LaunchDarkly. The trade-offs are honest ones: breadth means real configuration work, SQL is assumed in places, and mobile session replay arrived later than the web product. If you have product engineers who will own the setup, start free and add a card only when you cross a limit. If you need someone to build the dashboards for you, look at Mixpanel.
Verified 15h ago · liveness 87/100 · cite: rightaichoice.com/tools/posthog
- Product engineers who want analytics, session replay, and feature flags in one place with a monthly free tier
- Startups and side projects needing a cheaper alternative to Mixpanel, Amplitude, and LaunchDarkly
- Data teams that prefer SQL for ad-hoc analysis and custom dashboards
- Teams that want ownership via self-hosting an MIT-licensed open source core
- Non-technical marketers who want zero-config dashboards and no SQL
- Teams that only need basic pageview analytics (Plausible or GA4 are lighter)
- Organizations needing a fully mature mobile session replay stack
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Skip PostHog if you want a vendor-built dashboard out of the box and nobody on your team will write SQL — Mixpanel or GA4 will get a non-technical marketer to a chart faster.
Cross a free-tier product limit — say 1M analytics events or 5K session recordings in a month — and your usage either stops or, once a card is added, converts to per-unit charges you only see after the fact.
The monthly free tier covers 97% of companies and resets every month, which undercuts Mixpanel, Amplitude, and LaunchDarkly for small teams. Pay-as-you-go only for what you use, with per-product billing limits, and volume discounts plus annual plans for serious scale. Mid-size teams pay usage-based; enterprises also buy the platform package for SSO, audit logs, and custom roles.
In short
PostHog — PostHog is an all-in-one product platform: analytics, session replay, error tracking, feature flags, experiments, surveys, and a managed data warehouse with a. Best for Product engineers who want analytics, session replay, and feature flags in one place with a monthly free tier, Startups and side projects needing a cheaper alternative to Mixpanel, Amplitude, and LaunchDarkly, Data teams that prefer SQL for ad-hoc analysis and custom dashboards. Free to use.
What's new in PostHog
Checked todayAcross the latest 5 updates: 5 feature updates.
BigQuery service account imports
Data Warehouse imports from BigQuery can now use a shared Google Cloud service account instead of an uploaded JSON key, and existing BigQuery sources can be switched over.
Backfill App Store analytics
Data Warehouse can backfill App Store Connect analytics from account inception or January 2024 on first sync, resync, or full table refresh, removing the connection-date data cliff.
More warehouse sources ready for production
Airtable, Mailgun, CircleCI, Custom REST, Zoom, Datadog, Square, Ashby, ConvertKit, Iterable, and Freshsales moved to generally available, with Railway in beta.
Backfill LLM evaluations
AI Observability evaluations can run against matching generations, traces, or sessions from the last 30 days instead of only new data, with a Backfills tab to monitor or cancel the run.
Android interaction signals
Android apps can opt into semantic interaction autocapture and frustration signals — rage taps and likely dead taps — without turning on session replay.
Viability Score
How well maintained and how widely used is PostHog? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Product analytics with event pipelines and dashboards
- Session replay with heatmaps
- Replay Vision AI insights from recordings
- Feature flags with 1M free requests per month
- Experiments and no-code A/B testing
- Error tracking with 100K free exceptions per month
- Surveys with in-app and email responses and 1.5K free responses
- SQL insights with scatter plots and trend lines
- Managed data warehouse on DuckDB with 1M free rows
- 120+ data warehouse sources and destinations
- Web analytics for pageviews
- AI observability with 100K free events per month
- Logs ingestion (10 GB free monthly)
- CDP-lite user activity feed and Workflows for automated emails and destinations
- PostHog MCP server for AI agents plus PostHog Desktop beta
About PostHog
PostHog ingests and stores your analytics, session replays, errors, logs, and business data in one place so you and your AI agents can query and act on it. Analytics, session replay, error tracking, feature flags, experiments, surveys, web analytics, logs, CDP, workflows, AI observability, and a managed warehouse on DuckDB all ship from one signup and one UI. The context warehouse pulls third-party data from 120+ sources and destinations — Stripe, Postgres, HubSpot, BigQuery, Snowflake, Redshift, and more — and you can query it with SQL and visualize it in BI tools. PostHog's newer direction is what it calls the self-driving product: an Inbox clusters related findings from error tracking, session replay, support conversations, and external tools like Zendesk, Linear, and GitHub into ranked reports with draft pull requests you decide whether to ship. You can drive it from the browser or from your editor via the PostHog MCP server and PostHog Desktop. It fits product engineers and data teams who want SQL-level control and are happy to configure things; it does not fit non-technical marketers who want zero-config dashboards.
Behind the Verdict
PostHog's core argument is that fragmenting your product data across Mixpanel for events, Hotjar or FullStory for replays, LaunchDarkly for flags, and a warehouse tool for joins costs more than it saves. It answers that with one event pipeline feeding product analytics, session replay, error tracking, feature flags and experiments, surveys, web analytics, logs, CDP-lite activity feeds, workflows, and AI observability — and a managed warehouse on DuckDB where external data from 120+ sources lands next to your own events. SQL insights, scatter plots, BI connections, and the user activity feed are what make that more than a bundle of separate tools. The self-driving layer is the part worth watching: the Inbox groups related findings from error tracking, session replays, support tools like Zendesk, and GitHub issues into researched reports ranked by priority, with draft pull requests attached. Sample Inbox reports on the site show a billing invoice-request feature request from GitHub, a conversion-tracking fix, a declined-payment error-message fix surfaced from replays, and a mobile sign-in failure from error tracking. You review and decide what ships. You can also query product data from your editor via the PostHog MCP server or PostHog Desktop rather than switching to a browser. On pricing the posture is unusually plain: 97% of companies use PostHog free, the free allowance resets every month, usage stops at the free-tier limits so you cannot be charged by surprise, and you only pay for what you capture, ingest, or sync in a month with no separate storage fees. Paid plans add unlimited usage, six projects instead of one, seven-year retention instead of one year, email support (Slack above $2k/mo), and per-product billing limits. Platform features such as SSO, audit logs, custom roles, and project permissions sit in a separate package for teams that need access control. The costs of the breadth are real. Setting up every product takes meaningful configuration; the free plan's 1 project and 1-year data retention (recordings 1 month) become a wall once you need history; mobile session replay on iOS, Android, Flutter, and React Native shipped later than web and continues to gain masking and touch-capture control; and SQL is the assumed path for anything non-standard. Non-technical marketers who want a pre-built dashboard will be faster in Mixpanel or GA4. Engineering-led teams that want transparency, an MIT-licensed open source core they can self-host, and predictable usage-based cost get the most out of it.
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Real-world workflow fit
Concrete scenarios for the personas PostHog actually fits — and what changes day-one when you adopt it.
You install the SDK with npx @posthog/wizard and let autocapture record events, then open product analytics to build a signup funnel and check session replays for where people drop off.
Outcome: You get a working funnel and replay evidence the same day without adding a card, and the free allowance resets next month.
You put a pricing-page test behind a feature flag as a no-code A/B experiment and read conversion rates in analytics without a separate experimentation vendor.
Outcome: One account covers flag, experiment, and analytics, so you avoid stitching Mixpanel and LaunchDarkly together.
You connect Stripe, Postgres, and HubSpot as data warehouse sources, join that business data against product events in SQL, and set a per-product billing limit before inviting the team.
Outcome: Sales and product query one context layer, and the billing limit caps exposure if traffic spikes.
Use Cases
- Replace Mixpanel + Hotjar + LaunchDarkly with one PostHog account.
- Self-host the MIT-licensed PostHog core on your own infrastructure for data sovereignty.
- Run a multivariate A/B test on a pricing page with feature flags and conversion analytics.
- Trace LLM prompts, costs, and user feedback in AI Observability alongside product events.
- Automatically capture all interactions via autocapture and retroactively define events.
- Sync product usage data to Salesforce or HubSpot via CDP for sales alerts.
- Use Hog functions to scrub PII before events are stored.
- Collect survey responses and correlate them with behavioral data.
Models Under the Hood
as of 2026-09-15
Limitations
- PostHog is broad — analytics, replay, flags, warehouse, workflows, logs, AI observability — so configuring every product takes real work.
- On the free plan usage simply stops at the per-product limits (1M analytics events, 5K session recordings, 1M feature flag requests, 1M warehouse rows, 100K exceptions, 10 GB logs, 500 PostHog AI credits, 2,500 Replay Vision credits, 2,000 PostHog Desktop credits and more), and you need a card on file to move to pay-as-you-go for higher limits.
- The free plan caps you at 1 project and 1-year data retention, with recordings retained 1 month; paid plans give 6 projects and 7-year retention.
- SQL is assumed for non-standard analysis.
as of 2026-09-29
Verification history
We have re-verified PostHog 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 19 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published PostHog tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Side projects and small teams with under 1M monthly events that want analytics, replay, flags, and a warehouse without a card on file.
What this tier adds
Starting tier: full monthly allowance on every product, unlimited team members, 1 project, 1-year retention, community support, and usage stops at the limits.
Pay-as-you-go
Usage-based
Ideal for
Growing teams that have hit a free-tier limit but still want usage-based billing with per-product caps.
What this tier adds
Adds unlimited usage beyond the same monthly free tier, 6 projects instead of 1, 7-year retention instead of 1 year, email support, and per-product billing limits.
Platform packages
Custom
Ideal for
Larger organizations that need access governance across many team members and projects.
What this tier adds
Adds SSO, audit logs, custom roles, and project permissions, plus annual plans, volume discounts, and a technical account exec.
Where the pricing makes sense
The company stage and team size where PostHog's pricing actually pencils out — and where peers do it cheaper.
The monthly free tier covers 97% of companies and resets every month, which undercuts Mixpanel, Amplitude, and LaunchDarkly for small teams. Pay-as-you-go only for what you use, with per-product billing limits, and volume discounts plus annual plans for serious scale. Mid-size teams pay usage-based; enterprises also buy the platform package for SSO, audit logs, and custom roles.
Setup time & first value
How long it actually takes to get something useful out of PostHog — broken out by persona, not the marketing-page minute.
Solo engineer: minutes to a first event with the setup wizard or npx @posthog/wizard. Small team: an hour to analytics plus replay, a day to add flags and an experiment. Data/warehouse lead: a few days to connect sources, model data, and set billing limits before broadening access. Mobile replay setup adds time on top.
Switching to or from PostHog
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Mixpanel: point your existing event calls at PostHog's SDKs and re-create dashboards as SQL or product analytics insights.
- →From LaunchDarkly: port flag definitions to PostHog feature flags and move experiments onto the same flag keys.
- →From Hotjar or FullStory: keep behavior data by enabling session replay and map your existing goals to PostHog funnels.
- →From GA4: install the PostHog snippet alongside GA4 and run both until event coverage matches.
- ↗To Mixpanel: export events and rebuild funnels in Mixpanel's UI if you want a code-free analytics owner.
- ↗To Amplitude: move event data across and rebuild dashboards if you need Amplitude's packaged analytics experience.
- ↗To a standalone warehouse: batch-export data to your own warehouse and continue analysis in your BI tool.
Integrations
Resources & Guides
- Documentationposthog.com
Documentation
The single platform for engineers to analyze, test, observe, and deploy new features. Product analytics, session replay, feature flags, experiments, CDP, and more.
- Tutorialposthog.com
Posts
The single platform for engineers to analyze, test, observe, and deploy new features. Product analytics, session replay, feature flags, experiments, CDP, and more.
- Guideposthog.com
Posts
The single platform for engineers to analyze, test, observe, and deploy new features. Product analytics, session replay, feature flags, experiments, CDP, and more.
- Resourceposthog.com
CDP sources & destinations
Get all your data into PostHog with 60+ sources & destinations
- Resourceposthog.com
Post-It training academy: master the art of sticky notes
Learn the ancient art of Post-It adhesion from the masters at PostHog.
- Resourceposthog.com
Changelog
The single platform for engineers to analyze, test, observe, and deploy new features. Product analytics, session replay, feature flags, experiments, CDP, and more.
- Resourceposthog.com
Posts
The single platform for engineers to analyze, test, observe, and deploy new features. Product analytics, session replay, feature flags, experiments, CDP, and more.
- Resourceposthog.com
Forums
The single platform for engineers to analyze, test, observe, and deploy new features. Product analytics, session replay, feature flags, experiments, CDP, and more.
Tutorials & Learning
YouTube returned 6 videos for “PostHog”, and we withheld 6: 6 could not be judged, because “PostHog” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about PostHog.
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Eppo
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Statsig
Statsig unifies experimentation, feature flags, and product analytics in one warehouse-native platform for measuring every release.
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Frequently Asked Questions
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