PostHog vs Vercel Analytics
PostHog and Vercel Analytics both answer the same question: how do you know what users actually do? Product analytics with session replay, feature flags, experiments and surveys bundled into one open source platform. Page-view and Core Web Vitals data collected by the host you are already deploying to, with no setup. The real split is ownership: PostHog runs inside your project and leaves the operational work with you, while Vercel Analytics runs the hard parts as a service and takes a dependency in exchange.
Verdict
The real split is ownership: PostHog runs inside your project and leaves the operational work with you, while Vercel Analytics runs the hard parts as a service and takes a dependency in exchange.
Pick PostHog if
- ✓Funnels, retention and cohorts answer product questions page views never could.
- ✓Session replay lets you watch the exact path a confused user took.
- ✓Feature flags and experiments share the same identity data as the analytics.
Pick Vercel Analytics if
- ✓Enabling it is a toggle plus one component, with nothing else to configure.
- ✓Real user Core Web Vitals come from the same platform serving the pages.
- ✓Data appears next to deployments, so a regression is easy to attribute.
| Comparison | PostHog | Vercel Analytics |
|---|---|---|
| Pricing shape | Generous free monthly event allowance, then usage-based pricing per event, replay and flag request. | Included in limited form on Vercel plans, with additional event volume billed as usage. |
| Frameworks | Next.js, SvelteKit, Nuxt, React Native, Expo, Flutter | Next.js, SvelteKit, Nuxt |
| In one line | Product analytics with session replay, feature flags, experiments and surveys bundled into one open source platform. | Page-view and Core Web Vitals data collected by the host you are already deploying to, with no setup. |
Pricing described qualitatively because published plans change often. Checked 2026-08-23. Confirm current terms on PostHog and Vercel Analytics.
PostHog
Strengths
- ✓Funnels, retention and cohorts answer product questions page views never could.
- ✓Session replay lets you watch the exact path a confused user took.
- ✓Feature flags and experiments share the same identity data as the analytics.
- ✓Self-hostable and open source, so the data can stay on your infrastructure.
Tradeoffs
- ✗Full event tracking makes it a privacy and consent conversation, not a free pass.
- ✗The client library is heavy compared to a simple page-view script.
- ✗Breadth of features means real onboarding time before anyone gets value.
- ✗Event-based billing rewards discipline and punishes noisy instrumentation.
Vercel Analytics
Strengths
- ✓Enabling it is a toggle plus one component, with nothing else to configure.
- ✓Real user Core Web Vitals come from the same platform serving the pages.
- ✓Data appears next to deployments, so a regression is easy to attribute.
- ✓No third-party domain, so ad blockers interfere less than with external scripts.
Tradeoffs
- ✗Only useful while you host on Vercel, so it cannot outlive that choice.
- ✗Reporting is basic next to any dedicated analytics product.
- ✗Event pricing on top of hosting makes it costly at real traffic volumes.
- ✗No historical export path if you later move to another provider.
Frequently asked questions
Is PostHog or Vercel Analytics better?
Neither is better in the abstract. The real split is ownership: PostHog runs inside your project and leaves the operational work with you, while Vercel Analytics runs the hard parts as a service and takes a dependency in exchange. Decide on the tradeoff you can live with, then stop reading comparisons and ship.
What is the main drawback of PostHog?
Full event tracking makes it a privacy and consent conversation, not a free pass. The client library is heavy compared to a simple page-view script.
What is the main drawback of Vercel Analytics?
Only useful while you host on Vercel, so it cannot outlive that choice. Reporting is basic next to any dedicated analytics product.
Can you switch from one to the other later?
Usually, at a cost that grows with how much of your product leans on the analytics layer. Keep the integration behind a thin module of your own and the migration stays a weekend rather than a quarter.