# PostHog Pricing Teardown 2026 > PostHog meters 13 products separately, with 1M free events a month and identified-event overages from $0.000198 down to $0.0000010 at scale. *Source: [https://www.getbeton.ai/blog/posthog-pricing-teardown/](https://www.getbeton.ai/blog/posthog-pricing-teardown/)* **Published:** 2026-05-26 **Author:** Vlad Nadymov **Tags:** pricing teardown, open source, product analytics This post is a part of series on commercial open source software pricing. See full list of articles [here](/blog/teardowns/). PostHog launched as a product analytics alternative to Mixpanel. It's now 13 products on one bill: analytics, session replay, feature flags, A/B testing, surveys, error tracking, a data warehouse, data pipelines, AI observability, logs, workflows, and a PostHog AI assistant. ~34.7k GitHub stars. We use it at Beton for product analytics — PostHog events are the raw material Beton's PQL scoring runs on. - Website: [posthog.com](https://posthog.com) - Pricing: [posthog.com/pricing](https://posthog.com/pricing) - GitHub: [github.com/PostHog/posthog](https://github.com/PostHog/posthog) **Plans** - **Free:** No credit card. 1 project, 1-year data retention, unlimited team members, community support. Full free-tier allowances across all 13 product lines (see below). - **Pay-as-You-Go — from $0/month:** Credit card required for overages. Upgrades to 6 projects and 7-year data retention. Email support. Same monthly free allowances as Free; you pay only for usage above them. - **Platform Add-Ons:** Boost ($250/mo), Scale ($750/mo), Enterprise ($2,000/mo). These gate SSO, RBAC, SLAs, and higher-touch support. Unlike most SaaS vendors, PostHog doesn't force you into a named annual tier — the add-ons are incremental. **Free-tier allowances across all products** The 2026 free tier is broader than the original teardown described. Per month: - Product Analytics: 1M events - Session Replay (standard): 5K recordings - Session Replay (mobile): 2.5K recordings - Feature Flags: 1M requests - Surveys: 1,500 responses - Error Tracking: 100K exceptions - Data Warehouse: 1M rows + unlimited historical syncs - Data Pipelines: 10K events, 1M rows - AI Observability: 100K events - PostHog AI: 2K credits (~$20 value) - Workflows: 10K messages per channel - Logs: 50 GB ingested - Web Analytics: bundled with Product Analytics For a product with a few thousand monthly active users, this is a real free tier, not a demo. **The event pricing** Product analytics meters *identified* events (anonymous events are cheaper). The first 1M events each month are free; above that, the per-event rate drops steeply by volume tier: - First 1M events/mo: free - 1M–2M: $0.0001980/event - 2M–15M: $0.0000697/event - 15M–50M: $0.0000360/event - 50M–100M: $0.0000146/event - 100M–250M: $0.0000037/event - 250M+: $0.0000010/event The marginal rate falls roughly 200x between the first paid band and the 250M+ band. PostHog gets cheap on analytics volume at scale to drive adoption of the higher-margin adjacent products — replays, surveys, pipelines. A product doing 2M identified events/month pays for the 1M above the free tier at $0.000198 — about **$198/month**. PostHog's pricing calculator puts **51M identified events/month at ~$3,934/month** for product analytics alone. Group-analytics events bill separately, starting around $0.000071/event. **The free tier that got worse** Session replay went from 15K free recordings/month (per the original teardown) to 5K — a 66% cut. Analytics and feature flags stayed flat or expanded; replay was the trade. The economics explain it. Storing and serving video recordings costs more per unit than counting analytics events. 5K free recordings still covers a product in early traction, but the allowance dropped. **How the 13-product model actually bills** Each product meters independently. Separate free-tier buckets, and overages on one product don't affect another. You can set billing limits per product to cap spend and prevent surprise invoices. So a team that uses analytics heavily but rarely uses surveys never overpays for surveys. The bundling is additive, not averaging — you pay for what you use, not for what's available. The downside is complexity. Thirteen billing meters is a lot to track. PostHog's usage dashboard handles it, but modeling your bill in a spreadsheet means knowing your volumes across every dimension, not just events. **License** MIT for the main codebase. The `ee` directory — enterprise features — ships under a separate proprietary license. PostHog maintains `posthog-foss`, a FOSS-compliant build that strips the EE directory. Self-hosters who want pure open source use `posthog-foss`; everyone else uses the main build, where enterprise features stay locked until a license key unlocks them. A common dual-license pattern (Gitlab and Metabase run variations). Most self-hosted teams use the main build and never touch the EE code. It only matters under a strict OSS policy. **Worth paying for?** The free tier is the most generous in this series. Thirteen products, usage limits, no time restriction. For an early-stage product, PostHog free beats any paid analytics tool. Pay-as-you-go makes sense once you have product-market fit and want 7-year retention, multiple projects, and email support. A product at 2M identified events/month pays about $198/month for analytics. The math turns harder at scale. PostHog's calculator puts 51M identified events/month at ~$3,934/month for analytics alone, and session replay — metered separately, per recording — can dwarf analytics costs for a high-traffic consumer app. Still cheaper than Amplitude or Mixpanel at equivalent scale, but not trivial. Model your volumes in PostHog's calculator before committing. The add-on cliff is real. SSO or an SLA jumps you from $0 to $250–$2,000/month. The pricing page doesn't enumerate the feature boundaries, so you can't tell when you'd need Scale vs. Boost without a sales call. Beton integrates with PostHog directly — [PostHog → Beton](https://getbeton.ai/integrations/posthog) turns product events into PQL signals. --- ## How PostHog pricing scales PostHog meters identified events, and the marginal rate drops ~200× as volume climbs — the first paid million costs $0.000198/event, the band above 250M just $0.0000010. Heavy usage gets progressively cheaper per event.
1M–2M$0.0001982M–15M$0.000069715M–50M$0.000036050M–100M$0.0000146100M–250M$0.0000037>250M$0.0000010
PostHog's marginal per-event rate by monthly volume tier (log scale). First 1M events free.
This post is a part of series on commercial open source software pricing. See full list of articles [here](/blog/teardowns/). *I build [Beton](https://getbeton.ai) — open source revenue intelligence for B2B SaaS.* --- ## Beton network Beton builds open-source revenue intelligence and self-service data products. Related sites and resources: - [Beton](https://www.getbeton.ai) — open-source revenue intelligence: turn product usage (PostHog, Stripe) into CRM signals - [Sell to Scientists](https://selltoscientists.com) — research intelligence: find and reach academic researchers by field, H-index, grants, and industry ties - [Sell to State](https://www.selltostate.com) — government procurement intelligence across 194 countries - [GitHub](https://github.com/getbeton) — Beton open-source repositories (including [inspector](https://github.com/getbeton/inspector)) - [dev.to](https://dev.to/beton) — engineering write-ups and OSS pricing teardowns - [Beton app](https://inspector.getbeton.ai) — the hosted product