PostHog vs Google Analytics 4 vs Analytics 360: Which Should You Choose?

Key differences

Decision by scenario

Product and marketing data models

All three use events, but event-based does not mean equivalent. PostHog organizes work around events, persons, sessions, and optional groups. It is designed for questions such as which identified users adopted a workflow, where a funnel failed, what a cohort retained, and what happened in the supporting session.

GA4 represents pages, screens, purchases, and custom interactions as events with parameters, then organizes them through users, sessions, traffic sources, audiences, dimensions, metrics, and properties. That model is especially useful from source and campaign through conversion. Analytics 360 keeps the same model; its value is enterprise scale and control, not a new product-analytics philosophy.

Model B2B accounts explicitly

For B2B accounts, PostHog's paid group analytics can model companies, workspaces, or organizations in trends, funnels, retention, flags, and experiments. GA4 and 360 can carry account identifiers as approved custom data and join them in BigQuery, but they do not become a first-class customer-company product by doing so. Review the B2B product-analytics instrumentation plan before choosing a schema.

Replay, experiments, and account workflows

PostHog's native replay is the largest category difference. It can connect aggregate behavior to web or mobile recordings, while GA4 and 360 require a companion replay tool. Replay remains evidence, not proof of motivation: use aggregate analysis to select sessions, inspect multiple examples, and return to quantitative validation. The session replay versus product analytics guide explains that loop.

PostHog also connects feature-flag delivery to experiments and supports surveys. GA4 can analyze exposure and outcomes sent by another system, but it is not a general native flag or experiment-delivery platform. Google Optimize and Optimize 360 were sunset September 30, 2023; a separate Firebase A/B Testing workflow should not be confused with GA4 itself providing broad flag infrastructure.

Acquisition, warehouse, and enterprise governance

GA4 is the stronger default for acquisition, recommended ecommerce events, attribution, audiences, and Google Ads relationships. PostHog can measure public-site behavior, but teams should not assume it reproduces every mature marketing or ecommerce workflow. Analytics 360 becomes relevant when the same Google model needs higher limits, subproperties, roll-up properties, eligible higher-scale BigQuery export, support, and contractual service levels.

For a combined SaaS stack, put GA4 on the public acquisition journey and PostHog in the authenticated product. Align a small set of business events such as sign-up completion, workspace creation, core-value completion, and subscription start. Do not duplicate every automatic event. Maintain a canonical identity dictionary and join approved data through a governed warehouse or identity layer.

Pricing and customer ratings

Pricing was verified August 4, 2026. PostHog's products use distinct meters, GA4 can carry substantial operating costs despite no license fee, and Analytics 360 requires a current quote.

G2 was used as one common source; scores were not averaged with other sites. Rounded ratings and changing review counts do not prove product fit, support quality, current pricing, or implementation effort.

Which should you choose?

• Choose PostHog for an authenticated application where product behavior, replay, experiments, flags, and engineering action belong together.
• Choose GA4 for public-site acquisition, campaigns, ecommerce, audiences, attribution, and Google advertising workflows.
• Choose Analytics 360 only when GA4 is already the right category and enterprise limits, governance, support, and service levels justify it.
• Use GA4 and PostHog together when acquisition and product adoption are both first-class jobs.

Where Hymetry fits

Hymetry is account-centric product intelligence for B2B SaaS. It connects grouped product pages and areas with Companies, Users, account adoption, user distribution, and Visits. That starting point is useful when a team asks which customer companies adopted a workflow, whether use is broad or champion-dependent, and which sessions explain the signal.

It does not replace GA4 or Analytics 360 for acquisition and advertising, PostHog for a broad developer platform and feature delivery, or a mature warehouse and enterprise stack. It is narrower and has a newer, smaller ecosystem.

Sources

Disclosure and methodology

Hymetry publishes this comparison and is mentioned only where its account-centric B2B product model is relevant. Product capabilities, prices, ratings, and videos are verified against linked sources and may change after publication.

The products were compared by category, event and identity model, public-site and authenticated-product analysis, B2B groups, funnels and retention, replay, flags and experiments, acquisition and ecommerce, export, deployment, governance, price, and review themes. No weighted numerical winner was calculated because the products begin from different priorities. Independent and vendor-authored sources were not used to override current primary documentation.

Pricing and legal boundaries

Pricing uses current official public pages. Analytics 360 remains Custom pricing because no reliable universal public contract price is available. PostHog rates retain their billing units and free allowances rather than being reduced to one misleading entry price. Privacy discussion compares technical controls and data flow, not jurisdiction-specific legal conclusions.