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.
Still shortlisting? Browse the best in GTM Analytics and the best in Product Analytics & Session Replay for every option we track, with award winners called out.
The short answer
Editorial assessmentWoopra 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) | $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)$250 / $750 / $2,000
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 add a fixed $250 to $2,000 a month. 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
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 profileWoopra
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 profilePostHog profile last reviewed 2026-09-27; Woopra last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.
The best in GTM Analytics
16 trackedGTM analytics tools measure how go-to-market actually performs: where traffic and pipeline come from, what marketing touches contribute revenue, and what users do once they arrive.
Two decades of ubiquity, free at any traffic volume, and ad platform integrations no rival matches make Google Analytics the category's inescapable standard.
Self hosted Umami delivers funnels, retention, journeys, revenue, and a full API for the price of a VPS, with a free 100,000 event Cloud tier besides.
Founded in 2022, through Y Combinator in 2023, and a $20M Bessemer Series A by January 2025, HockeyStack is the breakout name in B2B revenue attribution.
The Triple Pixel plus Compass, unifying multi touch attribution, marketing mix modelling, and incrementality in one system, is a genuinely new measurement mechanism.
One script tag puts data live immediately and the whole product is a single dashboard page, the shortest route from signup to a real answer in the category.
The best in Product Analytics & Session Replay
15 trackedProduct analytics tools track what users do inside an application, funnels, retention, feature adoption, and session replay, so teams can see where activation breaks rather than guessing.
Product analytics that kept buying the rest of the stack: experiments, session replay, and a CDP under one roof, with 2 million free events a month.
A free plan covering one million events a month with unlimited seats means a 10,000 user product pays Mixpanel nothing for genuinely deep analytics.
Relaunched in 2025 around autocapture, autoconfiguration, and Ask AI, with a 2026 LLM Acquisition report, Kissmetrics is the roster's genuine comeback story.
Agent Analytics, generally available in December 2025, measures how AI agents behave inside products, a capability nothing else in this roster ships.
Autocapture records every interaction from one snippet in under an hour, so teams define events after the fact instead of instrumenting anything first.
Frequently asked questions
6 questionsWhat is the difference between PostHog and Woopra?
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.
Is PostHog or Woopra cheaper?
PostHog starts at $0 (generous monthly free tiers; pay only past the allowance). Woopra starts at $999 per month (Pro, 5 million events) (30 days trial). The billing models differ, so the entry price is rarely the whole cost. PostHog 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. Woopra pricing model: Annual or monthly subscription priced by monthly event volume, where an event is any tracked action including pageviews, custom actions, and property changes.
Does PostHog or Woopra have a free plan?
PostHog has a 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. Trial terms: Not applicable; the free tier is permanent, not a trial. Woopra has no free plan. Trial terms: 30 days; the pricing page describes it as the first month free with billing beginning in the second month.
Who should choose PostHog?
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.
Who should choose Woopra?
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.
What are the best alternatives to PostHog and Woopra?
SaaSTracker profiles 16 products in GTM Analytics. The Summer 2026 awards in the category went to Google Analytics 4 (Category Leader), Umami (Best Value), HockeyStack (Momentum). SaaSTracker profiles 15 products in Product Analytics & Session Replay. The Summer 2026 awards in the category went to Amplitude (Category Leader), Mixpanel (Best Value), Kissmetrics (Momentum). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.
