# PostHog vs Google Analytics 4 in-depth tool comparison

-   [

    ![](https://res.cloudinary.com/dmukukwp6/image/upload/c_scale,w_50/Lior_51d29d101a)

    Lior Neu-ner](/community/profiles/28754.md)
-   [

    ![](https://res.cloudinary.com/dmukukwp6/image/upload/c_scale,w_50/Natalia_s_Portrait_1_fd2c5fe102)

    Natalia Amorim](/community/profiles/35321.md)

Mar 13, 2026

-   [Comparisons](/blog/comparisons.md)

PostHog and [Google Analytics 4 (GA4)](/blog/ga4-alternatives.md) are both popular tools for understanding how users interact with your website or app – but they're built with very different goals.

**GA4** is designed to track traffic, campaigns, and user behavior across websites and apps, with tight integration into Google's advertising ecosystem. It's one of the most widely deployed analytics tools in the world, and the default choice for teams who want marketing and attribution data in a familiar interface.

**PostHog** is an all-in-one developer platform that combines all the tools developers need in one place, with a single login and a single contract.

If you're looking for a [GA4 alternative](/blog/ga4-alternatives.md) – whether for privacy reasons, because you need more than web analytics, or because you've outgrown GA4's free tier limits – this comparison will help you decide if PostHog is the right fit.

## How is PostHog different?

### 1\. We're an all-in-one platform

PostHog combines [product analytics](/product-analytics.md) and [web analytics](/web-analytics.md) with [session replay](/session-replay.md), [feature flags](/feature-flags.md), [error tracking](/error-tracking.md), [experiments](/experiments.md), [surveys](/surveys.md), a baked-in [data warehouse](/docs/data-warehouse.md), and more into one tightly integrated platform. Everything you need from a single app with a single contract. A *genuine* single source of truth for your product and customer data.

GA4 is a powerful web analytics tool, but it doesn't include session replay, feature flags, A/B testing, error tracking, or surveys. For those features, you'd need separate tools like [FullStory](/blog/posthog-vs-fullstory.md), [LaunchDarkly](/blog/posthog-vs-launchdarkly.md), and [Optimizely](/blog/posthog-vs-optimizely.md), and a way to stitch the data together.

### 2\. It's built for developers

This means you get support from the engineers who *actually build the product*, [extensively documented APIs](/docs/api.md), an [MCP server](/docs/model-context-protocol.md) for querying your data directly from AI coding tool, and a [SQL query builder](/docs/product-analytics/sql.md) so you can analyze data how you want.

We're open source, so you can inspect [our source code](https://github.com/PostHog). And we ship fast – check out [the weekly changelog](/changelog.md) to see what's new.

GA4 is primarily designed for marketers and growth teams. It integrates tightly with Google Ads and the broader Google Marketing Platform, but offers limited developer-facing tooling.

### 3\. Transparent and cheap pricing (forever)

We default to charging as little as possible while still making a profit – we also have a generous free tier on all our products. We can do this because we're efficient. We don't splurge on D-list comedians to host an annual convention you'll never attend. Want to know how much we'll charge? See our [pricing calculator](/pricing.md).

GA4's core product is free, but once you hit the limits of the free tier you'll need to evaluate GA360, which starts at approximately [$50,000/year according to third party sources](/blog/google-analytics-cost.md) (Google doesn't publish pricing).

![](https://res.cloudinary.com/dmukukwp6/image/upload/texture_tan_9608fcca70)

![](https://res.cloudinary.com/dmukukwp6/image/upload/texture_tan_dark_a92b0e022d)

Install PostHog with one command

Paste this into your terminal and make AI do all the work.

`npx @posthog/wizard`

[Learn more](/wizard.md)

![PostHog Wizard hedgehog](https://res.cloudinary.com/dmukukwp6/image/upload/wizard_3f8bb7a240.png)

## Comparing PostHog and Google Analytics

### Analytics

GA4 is primarily built for web analytics, so this is where the comparison matters most. PostHog's [web analytics](/web-analytics.md) dashboard covers all the core metrics – traffic sources, pageviews, sessions, UTM tracking, and more – while also adding capabilities GA4 lacks, like cookieless tracking and web vitals monitoring.

GA4

**Pageviews**

Track visitors and their views

✓

✓

**Sessions**

Track unique sessions and their durations

✓

✓

**Bounce rate**

See the percentage of users that leave after one pageview

✓

✓

**Traffic breakdown**

See where your visitors and conversions are coming from

✓

✓

**UTM tracking**

Track marketing campaigns with UTM tags

✓

✓

**Entry and exit paths**

See the pages users first visit and the last ones before they leave

✓

✓

**Outbound clicks**

See the links that take users away

✓

✓

**Conversions**

Track actions you want users to take

✓

✓

**Custom channel types**

Create custom channel types by defining rules that match incoming events

✓

✓

**Web vitals**

Monitor the performance of your website

✓

✗

**Cookieless tracking**

Track users without cookies

✓

✓

**Search tools**

Get keyword data and track search ad performance

✗

✓

PostHog goes significantly deeper on product analytics – including features like [group analytics](/docs/product-analytics/group-analytics.md) for analyzing behavior at the account or company level (ideal for B2B SaaS), SQL queries, correlation analysis, and more.

GA4

[**Group analytics**](/profiles.md)

Track metrics at a company and account level

✓

✗

**User profiles**

Track personally-identifiable user info like name, email, and usage data

✓

Anonymous

[**Funnels**](/funnels.md)

Track users through a sequence of events to find drop-off and improve conversion

✓

✓

[**User paths**](/user-paths.md)

Understand how users navigate through your product and where they get stuck

✓

✓

[**Retention**](/retention.md)

Track user retention over time to understand how long users stay with your product

✓

✓

**Monetization analytics**

Track purchase value, LTV, and other revenue metrics

✓

✓

**Advertising analytics**

Track ROI on Google Ads and other marketing campaigns

Beta

✓

**Real-time view**

Monitor activity on your site or app as it happens

✓

✓

**Predictive insights**

AI-powered alerts when metrics change

✗

✓

You can also go deeper on user behavior by utilizing [heatmaps](/docs/toolbar/heatmaps.md), scrollmaps, formulas, and the [custom SQL insights](/docs/product-analytics/sql.md).

GA4

**Heatmaps**

See clicks and mouse movement on your site

✓

✗

**Clickmaps**

See what elements people click on in pages

✓

✗

**Scrollmaps**

Visualize how far users scroll on your website

✓

✗

**Movement maps**

Visualize mouse movements

✓

✗

**Correlation analysis**

Automatically identify significant factors that impact conversion

✓

✗

[**Lifecycle**](/lifecycle.md)

Track user lifecycle to understand how users interact with your product

✓

✓

[**Stickiness**](/stickiness.md)

Track user stickiness over time to understand how long users stay with your product

✓

✗

**Custom formulas**

Perform calculations and math operations on multiple event series

✓

✗

**SQL query editor**

Write SQL queries directly against your data without a separate data warehouse

✓

✗

**Toolbar**

Tag events or view insights on your live website or app with an overlay

✓

✗

### Does PostHog have reports, dimensions, and other GA4 features?

Yes, PostHog has much of the same functionality as Google Analytics, but we use different terminology. Here’s a quick comparison of the two:

| GA name | PostHog equivalent |
| --- | --- |
| Report | Insight | Query and filter analytics data and visualize results. Types include trends, funnels, retention, and more. |
| Dimensions | Properties | Additional details added to events, persons, and groups such as location, browser, and status. |
| View | Dashboard | A collection of insights displayed together. |
| Audience | Persons | Represents a user or set of users who create events, potentially filtered by properties or behaviors. |
| Segment | Filter | A way to create a subset of your data. |
| Goals and conversions | Actions | An event or collection of events representing a target behavior. |
| Client ID | Distinct ID | A unique identifier for a user. |
| Measurement ID | Project Token | The unique identifier for your project, used to send data to your PostHog instance. |

See our [guide to PostHog for Google Analytics users](/blog/google-analytics-to-posthog.md) for more help on making the switch.

### Platform

When you choose PostHog, you get more than analytics.

GA4

[**Product Analytics**](/product-analytics.md)

Track usage, retention, and feature adoption with comprehensive analytics

✓

✓

[**Web Analytics**](/web-analytics.md)

Privacy-focused web analytics with real-time data and no sampling

✓

✓

[**Session Replay**](/session-replay.md)

Watch real user sessions to understand behavior and fix issues

✓

✗

[**Feature Flags**](/feature-flags.md)

Control feature access with precision and safely roll out changes

✓

✗

[**Error tracking**](/error-tracking.md)

Track and monitor errors and exceptions in your code

✓

✗

[**Experiments**](/experiments.md)

Run statistically rigorous A/B/n tests and validate ideas with confidence

✓

✗

[**Logs**](/logs.md)

Search and analyze your application logs with OpenTelemetry.

✓

✗

[**Workflows**](/workflows.md)

Automate workflows with your product data

✓

✗

[**Surveys**](/surveys.md)

Collect product feedback with no-code surveys and customizable targeting

✓

✗

[**CDP**](/cdp.md)

Ingest, transform, and send data between 145+ tools

✓

✗

[**Data Stack**](/data-stack.md)

Import, query, model & visualize product and third party data together

✓

✗

### Integrations

It's hard to import data into Google Analytics because:

1.  The data type and format you're allowed to [import](https://support.google.com/analytics/answer/10071301) is restrictive.
2.  You either need to constantly upload CSV files manually, or set up an SFTP server to automatically do this for you.

In contrast, PostHog is built to be your single source of truth, so it's simple to import data from other sources using our [built-in data warehouse](/docs/data-warehouse.md), or send PostHog data to other tools using our [realtime destinations](/docs/cdp/destinations.md).

Below is a comparison of some of the most popular apps – see our [data pipeline](/docs/cdp.md) and [warehouse docs](/docs/data-warehouse.md) for a complete list of integrations.

GA4

**Stripe**

Stripe customer data connector

✓

✓

**Zapier**

Trigger Zapier automations

✓

✓

**Hubspot**

Send and receive data from Hubspot

✓

✗

**Salesforce**

Sync event and person data

✓

✗

**Intercom**

Messaging and marketing automation

✓

✗

**Customer.io**

Messaging and marketing automation

✓

✗

**Sentry**

Send and receive data from Sentry

✓

✗

**Google Ads**

Import ROI data from Google Ads

✓

✓

**Google Search Console**

Import data from Google Search Console

✗

✓

**BigQuery**

Export data to Google BigQuery for analysis

✓

✓

### Security and compliance

PostHog makes [GDPR compliance](/blog/best-gdpr-compliant-analytics-tools.md) easy by letting you choose where your data is hosted: EU or US.

Google also offers various [privacy controls](https://support.google.com/analytics/answer/9019185), but you can't choose where your data is stored – a meaningful concern for teams in regulated industries or those serving EU users.

GA4

**EU hosting**

Access and store your data in the EU

✓

✗

**HIPAA-ready**

Can be compliant with HIPAA

✓

✗

**Data anonymization**

Anonymize user data for privacy

✓

✓

**Role-based access control**

Control access to features and data based on user roles and permissions

Enterprise

✓

**Security certification**

Third-party security compliance frameworks

SOC 2 Type II

ISO 27001

**SAML/SSO**

Use SAML or single sign-on authentication

Scale

✓

**2FA**

Enforce login with two-factor authentication

✓

✓

## When to choose PostHog vs Google Analytics 4

-   Want an all-in-one developer platform that goes beyond [web analytics](/web-analytics.md) with [product analytics](/product-analytics.md), [session replay](/session-replay.md), [feature flags](/feature-flags.md), [A/B testing](/experiments.md), [error tracking](/error-tracking.md), and more – all in one place? Go with **PostHog**.
-   Need deep integration with Google Ads, Search Console, and the broader Google Marketing Platform for marketing attribution and campaign reporting? **GA4** is built for that.

### Recommendations by team type

**For engineering-led product teams**

-   **PostHog** – SQL access, MCP server, open-source codebase, error tracking, and AI Observability. Everything a developer needs to understand users, ship features, and debug problems without leaving the platform.

**For marketing and growth teams**

-   **GA4** – Best-in-class integration with Google Ads, Search Console, and Google's attribution ecosystem. If your team lives in Google's marketing stack, GA4 is the natural fit.

**For product managers and UX teams**

-   **PostHog** – Funnels, retention, session replay, and surveys in one place means PMs can answer behavioral questions and gather user feedback without stitching together multiple tools.

**For B2B SaaS companies**

-   **PostHog** – [Group analytics](/docs/product-analytics/group-analytics.md) enables account-level analysis, so you can understand behavior at the company level, not just the individual user level.

**For privacy-conscious and regulated organizations**

-   **PostHog** – [EU hosting](/blog/posthog-cloud-eu.md) with data stored exclusively in the EU, HIPAA-readiness, cookieless tracking, and raw data access via the built-in data warehouse. GA4 doesn't offer HIPAA compliance or EU-only data residency.

**For content and media sites**

-   **GA4** – If your primary need is understanding content performance, audience demographics, and ad revenue attribution across a high-traffic publishing site, GA4's native integrations with Google AdSense, Ad Manager, and Search Console are hard to beat.

**For early-stage startups**

-   **PostHog** – A single platform that covers analytics, replays, feature flags, and more from day one. The [generous free tier](/pricing.md) includes 1 million events, 5,000 session replays, and 1 million feature flag requests per month. [Startups can also qualify for $50k in free credits](/startups.md).

**For enterprise teams**

-   **Tied** – GA360 offers unsampled reporting, 50-month data retention, and deep Google Marketing Platform integration for large marketing organizations. PostHog offers SSO enforcement, a BAA for HIPAA compliance, priority support, and a complete product development stack with transparent pricing.

![](https://res.cloudinary.com/dmukukwp6/image/upload/texture_tan_9608fcca70)

![](https://res.cloudinary.com/dmukukwp6/image/upload/texture_tan_dark_a92b0e022d)

Install PostHog with one command

Paste this into your terminal and make AI do all the work.

`npx @posthog/wizard`

[Learn more](/wizard.md)

![PostHog Wizard hedgehog](https://res.cloudinary.com/dmukukwp6/image/upload/wizard_3f8bb7a240.png)

## Frequently asked questions

How much do PostHog and Google Analytics cost?

**Google Analytics 4** is free for most users. However, there are limits: GA4 free caps data retention at 14 months, applies data sampling to large exploration queries (over 10M events), and limits the BigQuery export to 1 million events per day.

For teams that consistently hit these limits, **Google Analytics 360 (GA360)** is the enterprise tier. Pricing isn't publicly listed – it's sold through Google's reseller network and can land at anywhere from 50-150k+/year.

**PostHog** uses transparent, usage-based [pricing](/pricing.md). It's free to get started – no credit card required. Every month you get 1 million analytics events, 5,000 web session replays, 1 million feature flag requests, 1,500 survey responses, and more for free.

After the free allowance, you pay only for what you use, with pricing that scales down at volume. You can set per-product billing caps to avoid surprises.

Does PostHog offer a free trial?

With PostHog, it's free to get started – no trial needed. You get a generous monthly free allowance of events, replays, feature flag requests, and more. If you stay within those limits, PostHog is free forever.

See our [pricing page](/pricing.md) for the full breakdown.

Can I migrate from Google Analytics to PostHog?

Yes – see our [Google Analytics to PostHog migration guide](/docs/migrate/google-analytics.md) for step-by-step instructions. You can also run PostHog alongside GA4 during a transition period, since both can be deployed simultaneously.

Does PostHog block bots by default?

Yes, **PostHog** automatically filters known bots from your event data. See the [full blocklist in our docs](/docs/product-analytics/troubleshooting.md#does-posthog-block-bots-by-default).

In GA4, bot filtering is also on by default, but the filter lists differ – this can cause discrepancies between the two tools.

What about ad blockers?

We recommend [deploying a reverse proxy](/docs/advanced/proxy.md), which lets you send events to PostHog using your own domain. Events sent from your own domain are far less likely to be intercepted by tracking blockers, giving you more complete data.

We have reverse proxy setup guides for AWS CloudFront, Caddy, Cloudflare, Netlify, Vercel, Railway, and more.

Does PostHog have session replay?

Yes. **PostHog** includes [session replay](/session-replay.md) with console logs, network request monitoring, a DOM explorer, performance metrics, and AI-powered session summaries – built for debugging as much as UX analysis.

GA4 does not include session replay.

Does PostHog have feature flags and A/B testing?

Yes. PostHog includes both [feature flags](/feature-flags.md) and [experiments](/experiments.md) natively, tightly integrated with analytics and session replay. GA4 does not offer either of these features.

Does GA4 support BigQuery export for free?

Yes – as of recent updates, GA4 includes a free native BigQuery export, capped at 1 million events per day. This is a significant improvement over the historical restriction that required GA360. If you exceed 1 million events/day, you'll need GA360, which removes the daily cap.

Not that you asked, but PostHog also has a [BigQuery batch export](/docs/cdp/batch-exports/bigquery.md).

Is PostHog GDPR-compliant and HIPAA-compliant?

Yes. **PostHog** offers EU-hosted cloud with data stored exclusively in the EU, HIPAA-readiness (with BAA available on platform packages), cookieless tracking, and SOC 2 certification.

GA4 does not support HIPAA and doesn't offer EU-only data residency.

Are there discounts for non-profits and startups?

Yes. Non-profit organizations can contact our team and [are typically eligible for a discount](/handbook/growth/sales/contract-rules.md).

Startups can apply for $50,000 in free credits (plus additional perks) through the [PostHog for Startups program](/startups.md).

What are the best alternatives to Google Analytics in 2026?

The [top GA4 alternatives](/blog/ga4-alternatives.md) include:

-   **[PostHog](/web-analytics.md)** – Best all-in-one platform for product and engineering teams wanting analytics, replay, feature flags, experiments, and more together
-   **[Plausible](/blog/posthog-vs-plausible.md)** – Best lightweight, privacy-focused option for simple web analytics
-   **[Matomo](/blog/posthog-vs-matomo.md)** – Best self-hosted GA alternative with full data ownership
-   **[Amplitude](/blog/posthog-vs-amplitude.md)** – Best for marketing-led teams needing advanced product analytics and MTU-based pricing
-   **[Mixpanel](/blog/posthog-vs-mixpanel.md)** – Best for product teams wanting event-based analytics with a clean UI

See our full guide to [GA4 alternatives](/blog/ga4-alternatives.md) for more options.

> PostHog is the leading platform for building self-driving products. With a full suite of developer tools – [AI observability](/ai-observability.md), [product analytics](/product-analytics.md), [session replay](/session-replay.md), [feature flags](/feature-flags.md), [experiments](/experiments.md), [error tracking](/error-tracking.md), [logs](/logs.md), and more – PostHog captures all the context agents need to diagnose problems, uncover opportunities, and ship fixes. A [data warehouse](/data-stack.md) and [CDP](/cdp.md) tie it all together, unifying that context into one source agents can read across. You can steer it all from [Slack](/slack.md), [the web app](/ai.md), the desktop ([PostHog Desktop](/desktop.md)), or your own editor via [the MCP](/mcp.md).

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