Mixpanel vs PostHog
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentMixpanel compared with PostHog
PostHog bundles product analytics, session replay, feature flags, experiments, surveys, error tracking, and a data warehouse into one usage-priced platform with a free tier across every product, and it is open source with an EU cloud. Mixpanel does analytics only, but does it with a friendlier interface for non-technical users. Pick PostHog if you are engineering-led and want one bill for the whole stack; pick Mixpanel if the people asking the questions are product managers and marketers rather than developers.
Choose Mixpanel if
Product and growth teams at startups and small software companies who want funnels, retention, and cohort analysis that a product manager can drive without SQL, who value event-based rather than seat-based billing so everyone gets a login, and who are happy to buy flags, experiments, and error monitoring from someone else.
Choose PostHog if
Engineering-led SaaS and product teams that want web analytics, product analytics, replay, flags, and experimentation consolidated in one usage-priced platform, and that are comfortable doing their own revenue-attribution modeling if they need it.
Side by side
13 attributes| Attribute | Mixpanel | PostHog |
|---|---|---|
| Category | Product Analytics | Analytics |
| Starting price | $0 (Free plan, 1M events per month), Growth starts at $0 and scales with volume (free plan available) | $0 (generous monthly free tiers; pay only past the allowance) (free plan available) |
| Pricing model | Usage-based on events ingested per month, with unlimited seats on every plan and session replay metered separately. Three plans: Free, Growth (self-serve with volume discounts), and Enterprise (quoted, optionally metered on monthly tracked users instead of events). | Usage-based pricing per product: every product has a monthly free allowance, then per-unit billing (per event, recording, flag request, survey response, or row) with steep volume discounts; optional platform packages add support and compliance features. |
| Free plan | 1 million events per month and 10,000 session replays per month, with unlimited seats and the core Insights, Funnels, Retention, and Flows reports included. | 1M analytics events, 5K session recordings, 1M feature-flag requests, 100K exceptions, 1,500 survey responses, and 1M data warehouse rows per month, on 1 project with 1-year retention. |
| Free trial | No fixed-length trial; the free plan is permanent, and Growth features can be evaluated within it | Not applicable; the free tier is permanent, not a trial |
| Best for | Product and growth teams at startups and small software companies who want funnels, retention, and cohort analysis that a product manager can drive without SQL, who value event-based rather than seat-based billing so everyone gets a login, and who are happy to buy flags, experiments, and error monitoring from someone else. | Engineering-led SaaS and product teams that want web analytics, product analytics, replay, flags, and experimentation consolidated in one usage-priced platform, and that are comfortable doing their own revenue-attribution modeling if they need it. |
| Setup time | Under an hour to first chart if you use Autocapture on a web app, or a day or two of engineering to instrument a deliberate event schema across web and mobile. Getting to trustworthy analytics, as opposed to a chart, is a one to two week project because it involves deciding what your product's key actions actually are. | Minutes to first data with the JS snippet and autocapture; days to weeks to define clean custom events, dashboards, and cohorts; warehouse sources and pipelines are a separate project. |
| Learning curve | Low for consumers of reports and moderate for builders. The report builder is genuinely learnable by non-technical staff in an afternoon. The harder skill is analytical rather than technical: knowing which funnel is worth building and not chasing a metric that moves for uninteresting reasons. | Low for the web analytics dashboard; moderate for funnels, cohorts, and replay; high for SQL insights, warehouse modeling, and experimentation statistics. |
| Platforms | Web (JavaScript SDK with optional Autocapture), iOS and Android native SDKs, React Native and Flutter, Electron desktop apps, Server-side SDKs for Python, Node, Java, Ruby, PHP, and Go, HTTP ingestion API, Web app plus iOS and Android viewer apps | Web app, JavaScript snippet and web SDK, Server SDKs (Python, Node, Go, PHP, Ruby, and others), Mobile SDKs (iOS, Android, React Native, Flutter), Self-hosted Hobby build (Docker, open source) |
| Compliance | SOC 2 Type II, GDPR with published DPA and data subject request endpoints, CCPA, HIPAA available under enterprise arrangements with a BAA | SOC 2 Type II, GDPR, HIPAA (BAA on Boost, Scale, or Enterprise package) |
| Founded | 2009 | 2020 |
| Headquarters | San Francisco, California, United States | Remote-first; US-incorporated (San Francisco), team distributed globally |
| Ownership | Venture-backed, privately held | Venture-backed |
Strengths and limitations
Mixpanel
Strengths
- The best self-serve analysis interface in the category for non-technical users; a product manager can build a funnel with a breakdown in minutes without SQL or a data team.
- Event-based billing with unlimited seats means analytics can be genuinely company-wide rather than rationed to whoever holds the licences.
- A free tier of 1 million events and 10,000 replays per month that is a working product, plus a startup program that makes the first year free for young, lightly funded companies.
- Session replay is properly integrated with the event data across web, iOS, Android, React Native, and Electron, so a funnel drop-off becomes a video rather than a hypothesis.
Limitations
- No feature flags, no experimentation engine, no in-app guides, and no error monitoring, so an integrated product stack means three or four vendors instead of one.
- The event meter punishes autocapture and high-volume anonymous traffic, and the cost model is genuinely hard to forecast before you have shipped instrumentation and watched real volume for a month.
- Session replay is a companion feature rather than a debugging platform; the 30 day default retention and the absence of deep network, console, and error inspection put it well behind LogRocket.
- Default event retention is now two years, which quietly caps long-range historical analysis unless negotiated.
PostHog
Strengths
- Breadth with real integration: analytics, replay, flags, experiments, surveys, error tracking, and a warehouse genuinely share one event stream and identity graph rather than being bolted-on acquisitions.
- The most generous free tier in the category, 1M events and 5K recordings monthly, permanently, which makes evaluation and early-stage use genuinely free.
- Open-source codebase plus a choice of US or EU (Frankfurt) cloud gives privacy and procurement teams inspectability and residency options most rivals lack.
- Usage pricing with automatic volume discounts and per-product spending caps scales from hobby project to hundreds of millions of events without a sales call.
Limitations
- No packaged B2B revenue attribution: connecting spend and touchpoints to CRM pipeline and closed-won revenue is a data-warehouse project in PostHog, not a built-in report as in Dreamdata or HockeyStack.
- Depth demands technical investment; non-technical marketers can read the web dashboard but will struggle to self-serve funnels, SQL insights, or warehouse joins.
- Usage-based billing is unpredictable without configured limits, and replay-heavy or autocapture-noisy sites can generate surprising invoices.
- The full event platform carries more GDPR surface than minimalist tools: consent, masking, and retention need deliberate configuration, where Plausible or Fathom are compliant nearly by default.
Pricing compared
Mixpanel
Usage-based on events ingested per month, with unlimited seats on every plan and session replay metered separately. Three plans: Free, Growth (self-serve with volume discounts), and Enterprise (quoted, optionally metered on monthly tracked users instead of events).
- Free$0
- GrowthStarts at $0
- EnterpriseQuoted, from roughly $20,000 per year on MTU-based plans
For a small business the value case is unusually clean. At 10,000 monthly users doing perhaps thirty deliberate events each, you are at 300,000 events and the free plan covers you outright with unlimited seats. At 100,000 monthly users on the same instrumentation discipline you are around 3 million events, which lands in the middle of Growth and, at published entry rates before volume discounting, is a few hundred to roughly a thousand dollars a month depending on how the commitment is structured. The number that decides your bill is not your user count, it is how disciplined your instrumentation is: a team with forty well-chosen events pays a fraction of what an Autocapture-everything team pays at identical traffic. Judged against seat-priced competitors, Mixpanel is cheap for wide access and fair for careful teams, and expensive only for teams who never bothered to decide what to track.
PostHog
Usage-based pricing per product: every product has a monthly free allowance, then per-unit billing (per event, recording, flag request, survey response, or row) with steep volume discounts; optional platform packages add support and compliance features.
- Free (no card)$0
- Pay-as-you-goUsage-based
- Platform packages (Boost, Scale, Enterprise)Quoted / package pricing
At small and mid scale PostHog is close to unbeatable on price: the permanent free tiers cover a real startup's entire measurement stack, and the per-unit rates undercut buying analytics, replay, flags, and experimentation separately. The honest caveat is that usage pricing shifts the budgeting burden onto you: a replay-heavy or event-noisy implementation can quietly cost more than a flat-rate point tool, and the platform packages needed for enterprise compliance are quoted, not listed. Treat it as extremely cheap by default and only as cheap as your instrumentation discipline at scale.
Editorial verdict on each
Mixpanel
Mixpanel is the safest first analytics purchase a small software company can make. The free tier is a working product rather than a teaser, billing on events with unlimited seats means the whole team gets access, and the analysis interface is the one non-technical people actually use rather than abandon. Buy it if your questions are about conversion, retention, and feature adoption, and if you are comfortable buying flags, experiments, and error monitoring from other vendors. Do not buy it as a session replay tool, do not buy it to measure a marketing site, and do not switch on Autocapture without watching the event meter for a week first. The single thing that determines whether Mixpanel is cheap or expensive is instrumentation discipline, and that is entirely within your control.
Read the full Mixpanel profilePostHog
Category LeaderPostHog is the default recommendation in this category for any team with an engineer on it: no rival matches the combination of a free-forever tier that covers real workloads, usage pricing that scales without a sales call, and genuinely integrated replay, flags, and experimentation on top of web and product analytics. The two honest reservations are that marketing teams without technical support will use a fraction of it, and that B2B pipeline attribution, the question GTM leaders most want answered, remains a do-it-yourself exercise on PostHog's warehouse rather than a shipped feature. Buy it as the behavioral system of record; budget separately if you need turnkey revenue attribution.
Read the full PostHog profileMixpanel profile last reviewed 2026-08-22; PostHog last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.