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PostHogvsPlausible Analytics

PostHog vs Plausible — compare product analytics with flags and replay vs simple privacy-first web analytics.

Updated

Quick answer

Quick answer

PostHog is the better fit if you need in-product behavior, flags, and experiments. Plausible is the better fit if you need simple, privacy-respecting website analytics with a lightweight script and optional self-hosting.

Read the full analysis on AnalyticsVS ↓

Who should pick which?

Good fit for…

  • Product and engineering teams shipping features and measuring in-app behavior
  • Startups wanting session replay, funnels, and A/B tests without stitching five vendors
  • Teams comfortable with event instrumentation (SDK or autocapture)
  • Organizations evaluating self-hosted analytics for data control

Not a great fit for…

  • Blog-only sites that only need referrer and pageview reports
  • Teams with zero engineering bandwidth for event taxonomy and SDK maintenance
  • Marketing teams that only care about Google Ads attribution — GA4 integrates deeper there
  • Simple revenue-per-channel attribution for Stripe SaaS — DataFast is more direct

Good fit for…

  • Marketing sites, blogs, and landing pages that need clean traffic reports without cookie banners in many cases
  • Teams migrating off Universal Analytics or GA4 for privacy and simplicity
  • Developers who want a lightweight script and optional self-hosting (open source)
  • Small businesses comparing privacy-first tools at lower traffic tiers

Not a great fit for…

  • Teams deeply invested in Google Ads, BigQuery export, or GA4-native audiences
  • Product-led SaaS teams needing cohort analysis, session replay, or feature flags
  • Revenue attribution from Stripe — use DataFast or build custom GA4 ecommerce instead
  • Enterprise analytics with complex governance requirements

Feature comparison table

Side-by-side feature checklist for PostHog and Plausible Analytics.

FeaturePostHogPlausible Analytics
Cookieless—✓
GDPR-friendly—✓
Realtime data✓✓
Custom events✓✓
Funnels✓—
Heatmaps——
Session recordings✓—
A/B testing✓—
Product analytics✓—
Revenue tracking——
Self-hostable✓✓
Open source✓✓

Head-to-head by topic

Sourced from our individual tool reviews. How we review tools

Privacy & compliance

Unique to Plausible Analytics

Plausible is built as a privacy-first analytics tool: no cross-site tracking, no personal data sold, and no third-party ad network cookies. It is designed to work without cookie consent banners in many EU contexts because it avoids invasive tracking — still verify with legal counsel for your site.

Plausible publishes a GDPR-compliant DPA and does not fingerprint users across sites. This is the main reason teams choose it over GA4 for public marketing properties.

Self-hosting gives you full data control on your infrastructure; the managed cloud version keeps ops minimal.

Web analytics scope

Unique to Plausible Analytics

Plausible covers the essentials well: pageviews, referrers, UTM campaigns, goals, custom events, and a realtime dashboard. You get enough to answer "where did traffic come from?" and "which pages convert to signup?" without learning a complex reporting UI.

What you do not get: advanced funnels, user-level product analytics, predictive metrics, or native Google Marketing Platform integrations. For most content and marketing sites, that tradeoff is intentional.

Custom events are supported but keep naming disciplined — each tracked interaction can matter for billing on event-based competitors, though Plausible bills on pageviews.

Product & behavior capabilities

Unique to PostHog

PostHog's core is product analytics: funnels, retention, paths, trends, and user-level profiles (when identified). Autocapture can track clicks and pageviews on web with minimal code; serious teams still define named events for trustworthy metrics.

Unlike GA4, PostHog is built for SaaS product questions — activation, feature adoption, churn signals — not just marketing landing pages. SQL insights and HogQL extend power users.

Event volume drives cost on cloud; disciplined instrumentation keeps bills predictable.

PostHog bundles feature flags, session replay, and experiments — tools that often require Hotjar + LaunchDarkly + Optimizely separately. For early-stage teams, consolidation reduces integration tax.

Session replay helps debug UX friction; flags enable gradual rollouts; experiments tie metrics to variants. Each capability adds script weight and privacy review surface — disclose replay to users where required.

Not every team needs all modules on day one. PostHog lets you enable capabilities incrementally.

Cloud vs self-hosted

PostHog Cloud is the fastest path — sign up, install snippet or SDK, start capturing. Self-hosted (open source) suits teams with infra teams and strict data residency.

Self-hosting PostHog is a real platform operation: ClickHouse, Kafka, upgrades, and backups. Budget engineering time, not just license savings.

EU and US cloud regions exist on paid plans; confirm current region options on vendor docs before committing.

Most teams use Plausible Cloud for speed — add a script tag and go. The open-source self-hosted edition suits teams with strict data residency, air-gapped requirements, or a preference to avoid SaaS subscriptions.

Self-hosting adds DevOps cost: updates, backups, and uptime are on you. Cloud pricing starts at $9/month for 10K pageviews in our directory data; self-hosted is free software plus your hosting bill.

Pricing comparison

PostHog

PostHog Cloud includes a free tier (1M events/month and limited replay in our directory snapshot — verify current limits on posthog.com/pricing). Paid usage scales with events, replay recordings, and feature flag requests.

Self-hosted open source removes cloud event billing but adds hosting cost. For marketing-only sites, PostHog is usually overkill and overpriced vs Plausible.

Use our pricing calculator with events (not just pageviews) for realistic estimates.

TierLimitPrice / month
Free tier1,000,000Free
Usage-based above free2,000,000Free

1M events/month free on cloud. Above that, usage-based pricing applies. Self-hosting available.

Plausible Analytics

Plausible uses monthly pageview tiers starting at $9/month for 10K pageviews, scaling to $149/month at 10M pageviews per our directory. Annual billing discounts are available on the vendor site.

Unlike GA4, you pay from day one after any trial — but total cost is often lower than enterprise alternatives at small-to-medium scale. Self-hosted removes subscription cost but not hosting labor.

Use our pricing calculator to compare Plausible against Fathom and GA4 at your traffic level.

TierLimitPrice / month
—10,000$9
—100,000$19
—200,000$29
—500,000$49
—1,000,000$69
—2,000,000$89
—5,000,000$109
—10,000,000$149

Pricing as of Aug 2026 — verify on vendor site.

Use the pricing calculator to compare costs at your traffic or event volume.

Setup & implementation

PostHog

Typical setup (web SaaS):

  1. Create a PostHog project and install the JavaScript snippet or framework SDK.
  2. Enable or disable autocapture based on noise tolerance.
  3. Define key events (signup, upgrade, core feature use) with stable names.
  4. Optionally enable session replay and feature flags for targeted users.
  5. Build funnels and dashboards; set up experiments when traffic allows.

Common pitfalls: anonymous vs identified user merge issues, autocapture noise, enabling replay without performance testing, and unbounded custom properties.

Plausible Analytics

Typical setup:

  1. Create a site in the Plausible dashboard (or configure self-hosted instance).
  2. Add the Plausible script snippet to your site's or via your CMS/plugin.
  3. Define goals for key conversions (signup, download, outbound link clicks).
  4. Optionally enable custom events for button clicks or JS-tracked actions.

Official plugins exist for WordPress, Ghost, Next.js, and others.

Common pitfalls: counting admin/preview traffic (exclude IPs or use filters), forgetting UTM tags on campaigns, and comparing pageview counts 1:1 with GA4 (methodology differs).

Performance benchmarks

PostHog Script Performance

2026-10-12 · Desktop (Chromium) · Slow 4G (Simulated) · Avg of 7 runs

Recorded by AnalyticsVS

Load time

Without analytics276 ms
With analytics1.56 s

+1.28 s

Loading method
Async · non-blocking

This script downloads in the background, so the browser can draw the page’s first visible content without pausing to load the tracking code.

Script filesize
144.3 KiB transfer451.2 KiB decoded

Transfer is the compressed download size, and decoded is what the browser parses afterward.

What this means for your site

On our empty test page, the load event finished +1.28 s later with the tag installed. On a real site, page load is likely to take at least that long — but usually not the full +1.28 s stacked on top of your other assets, because much of the work overlaps parallel downloads.

Plausible Analytics Script Performance

2026-10-12 · Desktop (Chromium) · Slow 4G (Simulated) · Avg of 7 runs

Recorded by AnalyticsVS

Load time

Without analytics276 ms
With analytics527 ms

+250 ms

Loading method
Async · non-blocking

This script downloads in the background, so the browser can draw the page’s first visible content without pausing to load the tracking code.

Script filesize
3.2 KiB transfer5.9 KiB decoded

Transfer is the compressed download size, and decoded is what the browser parses afterward.

What this means for your site

On our empty test page, the load event finished +250 ms later with the tag installed. On a real site, page load is likely to take at least that long — but usually not the full +250 ms stacked on top of your other assets, because much of the work overlaps parallel downloads.

Limitations compared

PostHog

  • Overkill for simple marketing analytics — complexity and cost vs Plausible/Fathom.
  • Requires engineering ownership for clean event schemas and identity rules.
  • Session replay raises privacy and performance considerations.
  • Google Ads native integration is not GA4-class.
  • Script bundle heavier than lightweight analytics — see our recorded PostHog script benchmark.

Plausible Analytics

  • No native Google Ads or Search Console deep integration like GA4.
  • No session replay, heatmaps, or product analytics — pair with Hotjar or PostHog if needed.
  • Funnels and advanced segmentation are limited compared with product analytics suites.
  • Revenue attribution requires custom event work — not built-in like DataFast.
  • Script performance benchmark pending on AnalyticsVS.

Bottom line

Do not treat these as peers unless you only need pageviews. For blogs and marketing sites, Plausible (or Fathom) wins on simplicity, privacy posture, and script weight. For product-led SaaS, PostHog wins on capability — at the cost of heavier instrumentation and a much larger script on our recorded benchmark.

Category mismatch is the point

Founders often search this pair when deciding whether a "simple analytics" tool is enough. If your questions are product questions, Plausible will feel empty quickly. If your questions are traffic questions, PostHog will feel heavy and noisy.

Self-hosting

Both offer self-hosted paths. Plausible’s self-hosted edition is a lighter ops footprint than full PostHog (ClickHouse/Kafka class). Most startups should start on each vendor’s cloud and revisit self-hosting for compliance or cost later.

Frequently asked questions

Can Plausible replace PostHog?
No for product teams. Plausible does not offer feature flags, experiments, session replay, or deep retention/cohort product analytics.
Can PostHog replace Plausible?
For basic website traffic, yes — but it is usually overkill. If you only need referrers and pageviews, Plausible is simpler, lighter, and often cheaper to operate mentally even when PostHog’s free tier covers events.
Which is better for a SaaS marketing site plus app?
Common pattern: Plausible (or similar) on the marketing site and PostHog in the product. Some teams run PostHog everywhere; weigh script weight and event taxonomy cost.
Which is more privacy-friendly?
Plausible is designed as cookieless privacy-first web analytics. PostHog can be configured carefully (and self-hosted) but autocapture, identified users, and session replay increase privacy review surface.
How do script sizes compare?
On our Slow-4G fixture, Plausible transferred about 3.2 KiB with ~+250 ms load overhead. PostHog transferred about 144 KiB with ~+1.29 s overhead. Full results are on the [benchmarks](/benchmarks/) pages.
PostHog vs GA4 for a SaaS app?
PostHog is stronger for product funnels, flags, replay, and experiments with developer-first UX. GA4 is stronger for free scale and Google marketing integrations. Many teams run both during transition.
PostHog vs Hotjar?
Hotjar leads on heatmaps and qualitative UX for marketers. PostHog leads on product analytics, flags, and engineering-centric experimentation in one stack.
Plausible vs Fathom — how do I choose?
Both are excellent privacy-first options. Plausible tends to be cheaper at very low traffic and offers self-hosting. Fathom emphasizes polished UX and higher entry pageview limits per dollar at some tiers.

Sources & review status

Comparison updated October 14, 2026 · Tool reviews last verified October 14, 2026 · How we write comparisons

Try these tools

PostHog

Plausible Analytics