Is PostHog or Woopra cheaper?

PostHog starts at $0 (generous monthly free tiers; pay only past the allowance) (free plan available). Woopra starts at $999 per month (Pro, 5 million events) (30 days trial).

PostHog vs Woopra

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

Editorial assessment

Woopra compared with PostHog

PostHog bundles product analytics, session replay, feature flags, experiments, and a data warehouse behind usage-based pricing with a substantial free monthly allowance, and it can be self-hosted. On raw capability per dollar it is not close: PostHog gives a small team far more for far less. Woopra's remaining case is the customer journey framing, the maturity of its two-way CRM and support integrations, and real-time People profiles designed for customer success rather than for engineers. For most small and mid-sized buyers today, PostHog is the more sensible starting point.

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.

Choose Woopra if

Funded startups and mid-sized companies with real event volume that want product, marketing, sales, and support activity on one customer timeline, analyzed without SQL, and are able to commit to a four-figure monthly platform spend.

Side by side

13 attributes

Attribute	PostHog	Woopra
Category	Analytics	Product Analytics
Starting price	$0 (generous monthly free tiers; pay only past the allowance) (free plan available)	$999 per month (Pro, 5 million events) (30 days trial)
Pricing model	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.	Annual or monthly subscription priced by monthly event volume, where an event is any tracked action including pageviews, custom actions, and property changes. Two published plans: Pro, which starts at 5 million events per month with 50 seats and 24 month retention, and a custom-priced Enterprise (Appier's AIRIS tier) that adds AI predictions, warehouse sync, B2B organization tracking, SSO, data governance, and dedicated support. There is no free plan.
Free plan	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.	No
Free trial	Not applicable; the free tier is permanent, not a trial	30 days; the pricing page describes it as the first month free with billing beginning in the second month
Best for	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.	Funded startups and mid-sized companies with real event volume that want product, marketing, sales, and support activity on one customer timeline, analyzed without SQL, and are able to commit to a four-figure monthly platform spend.
Setup time	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.	A basic tracker install takes under an hour, and one-click integrations connect in minutes. Reaching a state where journey reports are trustworthy takes longer, typically two to six weeks, because the value depends on a considered set of custom actions and properties plus historical backfill through Data Loader.
Learning curve	Low for the web analytics dashboard; moderate for funnels, cohorts, and replay; high for SQL insights, warehouse modeling, and experimentation statistics.	Moderate. The report builder itself is approachable and requires no SQL, which is the point of the product. The harder parts are designing the tracking plan, understanding how property changes count against event quota, and learning to read Journey reports without over-interpreting small paths. Reviewers commonly describe an onboarding period longer than they expected.
Platforms	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)	Web (JavaScript tracker), iOS and Android SDKs, Server-side libraries and HTTP tracking API, Google Tag Manager, Segment as a source
Compliance	SOC 2 Type II, GDPR, HIPAA (BAA on Boost, Scale, or Enterprise package)	GDPR (DPA available, processor role), CCPA, PII masking and permission controls
Founded	2020	2007
Headquarters	Remote-first; US-incorporated (San Francisco), team distributed globally	San Francisco, California, United States
Ownership	Venture-backed	Acquired by Appier (TSE: 4180) in October 2022

Strengths and limitations

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.

Woopra

Strengths

Genuinely unified customer timeline: product, marketing, email, chat, support, and CRM events on one profile rather than in adjacent dashboards.
Journey and Dynamic Journey reports show paths people actually took, not just conversion between predeclared funnel steps.
Real-time individual-level People view with cross-device identity stitching, still one of the better implementations in the category.
Triggers and scheduled batches make the analytics tool an activation layer, covering work that would otherwise need reverse ETL.

Limitations

No free plan and no low-cost tier as of August 2026; the published entry point is $999 per month, which puts it outside what most small businesses can buy.
Single sign-on and organization-level B2B (account) tracking are Enterprise-only, an awkward gap for a product sold heavily to B2B SaaS teams on the Pro plan.
Raw user-level data export is repeatedly cited by reviewers as difficult; getting complete event-level data out generally means the Enterprise warehouse sync.
Every property change counts as a billable event, which makes volume forecasting harder than on tools that meter only explicit events.

Pricing compared

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.

Woopra

Annual or monthly subscription priced by monthly event volume, where an event is any tracked action including pageviews, custom actions, and property changes. Two published plans: Pro, which starts at 5 million events per month with 50 seats and 24 month retention, and a custom-priced Enterprise (Appier's AIRIS tier) that adds AI predictions, warehouse sync, B2B organization tracking, SSO, data governance, and dedicated support. There is no free plan.

ProFrom $999
Enterprise (AIRIS)Custom

At $999 per month for 5 million events, Woopra is priced as a platform commitment, not a tool purchase, and the comparison set changes accordingly. Against Mixpanel or Amplitude at similar volume it offers something genuinely different: support, marketing, and CRM touchpoints on the same timeline as product events, plus triggers that act on segments, which removes the need for a separate reverse-ETL or CDP line item. Against a warehouse-plus-BI stack it trades raw flexibility for a no-SQL builder that non-analysts actually use. What it no longer offers is an on-ramp. The removal of the free tier means a small business cannot start here and grow into it, and buyers evaluating Woopra on the strength of a decade-old reputation for generous free usage should reset expectations before booking the demo.

Editorial verdict on each

PostHog

Category Leader

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 profile

Woopra

Woopra was one of the original ideas in this category and the core of it still holds up: put every touchpoint on one person's timeline, then let anyone question it without SQL. The Journey reports, the real-time People view, the two-way CRM and support integrations, and the triggers that act on segments add up to something a pure product analytics tool does not do, and for a company whose hardest question spans product, marketing, and support, that is worth real money. But the buying situation has changed, and the change is not in the small buyer's favor. The free plan is gone, the entry price is $999 per month, SSO and B2B account tracking are held behind Enterprise, raw export is awkward, and the newest AI work is arriving under Appier's AIRIS name rather than Woopra's. Evaluate it as a four-figure platform commitment against Mixpanel, Amplitude, and PostHog, not as the accessible free analytics tool it was known as for a decade. If the budget is not there, it is not a near miss; look at PostHog or Countly instead.

Read the full Woopra profile

PostHog profile last reviewed 2026-08-22; Woopra last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.