Google Analytics 4 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
Both sides assessedGoogle Analytics 4 compared with PostHog
PostHog answers a different question: not where the visit came from, but what people did after arriving. Its permanent free tier (1 million events and 5,000 session recordings a month) bundles replay, feature flags, and experiments GA4 has no equivalent for, on a dashboard readable at a glance, which Explore never is. It cannot import conversions into Google Ads or run data-driven attribution, and its usage pricing turns a traffic spike into an invoice where GA4 stays free at any volume. Content and ecommerce sites whose marketer asks the questions should keep GA4; software products where a PM or engineer asks them want PostHog. Plenty of teams run both, deliberately.
PostHog compared with Google Analytics 4
Google Analytics 4 is free at any volume and is the only tool that pushes conversions and audiences into Google Ads, which is why few teams delete it. Its whole shape is acquisition: channels, campaigns, landing pages, modeled attribution, and PostHog barely competes there. What GA4 gives back is a disliked interface, a 14-month retention ceiling, sampling, and a mandatory consent banner in Europe. If your marketing lead asks which campaign brought the traffic, GA4 is the answer and it is free; if a PM or engineer asks what users did inside the product, GA4 will not tell you and PostHog will, with replay and flags attached. Most product companies run both.
Choose Google Analytics 4 if
Any business that runs Google Ads and needs conversion import, audience remarketing, and data-driven attribution inside Google's own ecosystem, plus larger sites that want a free raw event export into BigQuery and have someone able to write the SQL.
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 | Google Analytics 4 | PostHog |
|---|---|---|
| Category | Analytics | Analytics |
| Starting price | $0 (free plan available) | $0 (generous monthly free tiers; pay only past the allowance) (free plan available) |
| Pricing model | Free at any traffic volume for the standard product, with usage limits rather than price tiers; the enterprise tier (Analytics 360) is quote-only and sold through Google Cloud sales. | 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 | The full standard product with no pageview or event volume charge, subject to 500 distinct event names per property, 50 custom dimensions, 50 custom metrics, 14-month maximum event-level retention, reporting sampling, and cardinality limits. | 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 | Not applicable; the standard product is permanently free | Not applicable; the free tier is permanent, not a trial |
| Best for | Any business that runs Google Ads and needs conversion import, audience remarketing, and data-driven attribution inside Google's own ecosystem, plus larger sites that want a free raw event export into BigQuery and have someone able to write the SQL. | 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 | Fifteen minutes for the base tag and enhanced measurement; days to weeks for a configuration you can trust, because key events, ecommerce parameters, custom dimensions, cross-domain settings, and consent mode all need deliberate work. | 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 | The steepest in this category by a wide margin. Standard reports are learnable in a session; Explore, attribution settings, and the event and parameter model genuinely take weeks, which is why a GA4 consulting industry exists. | Low for the web analytics dashboard; moderate for funnels, cohorts, and replay; high for SQL insights, warehouse modeling, and experimentation statistics. |
| Platforms | Web app, iOS and Android SDKs via Firebase, Google Tag Manager, Measurement Protocol (server-side), Looker Studio connector | 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 | GDPR (with consent required), CCPA, Google Consent Mode v2, Data Processing Terms and EU Standard Contractual Clauses | SOC 2 Type II, GDPR, HIPAA (BAA on Boost, Scale, or Enterprise package) |
| Founded | 2005 | 2020 |
| Headquarters | Mountain View, California, United States | Remote-first; US-incorporated (San Francisco), team distributed globally |
| Ownership | Public company (Alphabet Inc., NASDAQ: GOOGL) | Venture-backed |
Strengths and limitations
Google Analytics 4
Strengths
- Free at unlimited traffic volume, which no privacy-first competitor can match once a site passes a few hundred thousand pageviews a month.
- The only analytics tool that can import conversions into Google Ads for bidding and export behavioural audiences for remarketing, which is decisive if paid search is a real channel.
- Data-driven attribution across Google and non-Google channels, plus behavioural and conversion modelling that partially recovers consent-declined traffic.
- Free raw event export to BigQuery gives genuinely unlimited retention and unsampled analysis for teams with SQL skills.
Limitations
- The interface is genuinely hostile to non-specialists; simple questions require Explore, and Explore requires understanding scope, cardinality, and dimension compatibility.
- Requires a cookie consent banner in the EU and UK, and the traffic that declines disappears into modelled estimates rather than being measured.
- Standard properties delete event-level data after 14 months, so year-over-year analysis in Explore breaks unless you run a BigQuery pipeline.
- Sampling, thresholding, and the (other) row on high-cardinality dimensions mean numbers are directional; GA4 will not reconcile line by line with your order database.
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
Google Analytics 4
Free at any traffic volume for the standard product, with usage limits rather than price tiers; the enterprise tier (Analytics 360) is quote-only and sold through Google Cloud sales.
- Google Analytics 4 (standard)$0
- Google Analytics 360Custom
Free is an unbeatable price for what GA4 does at the ad-integration layer, and no competitor at any price can import conversions into Google Ads or run Google's data-driven attribution. Judged purely as a dashboard, though, GA4 is expensive in the currency that actually constrains a small business, which is attention: the interface, the consent banner, the 14-month retention ceiling, and the sampling all cost hours or accuracy that a $19 tool would have given back. The rational allocation for most small businesses is to keep GA4 installed for the Google Ads link and pay a small amount for something readable to look at daily.
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
Google Analytics 4
Category LeaderGA4 is not a good product and it is still the right default for most small businesses, which is an uncomfortable thing to write. It is free at any volume, it is the only tool that can push conversions and audiences into Google Ads, and its data-driven attribution has no free equivalent. Against that: a hostile interface, a mandatory consent banner in Europe, a 14-month retention ceiling, sampling, and an attribution model list that got shorter rather than longer. Keep it if you spend money on Google Ads, because nothing else closes that loop. If you do not, install Plausible, Fathom, Simple Analytics, Pirsch, or Umami instead and enjoy getting your afternoons back.
Read the full Google Analytics 4 profilePostHog
PostHog 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 profileGoogle Analytics 4 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.