June vs PostHog
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 assessmentJune compared with PostHog
The broadest replacement, and the usual landing spot for startups that liked June's price point. PostHog supports group types for account-level analysis and adds session replay, feature flags, experiments, and surveys under one event meter, all with a generous free allowance. The cost is scope: PostHog is a platform with many surfaces where June was one opinionated view, and small teams should expect to ignore most of it initially.
Choose June if
Historically: seed to Series A B2B SaaS teams that needed account-level usage analytics fast, without a data team or a tracking plan, and that already ran Segment. As of 2026 the honest answer is that it is not for anyone, because the product no longer exists; the profile is retained for teams evaluating its successors or planning a migration off it.
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.
Side by side
13 attributes| Attribute | June | PostHog |
|---|---|---|
| Category | Product Analytics | Analytics |
| Starting price | No longer sold (product wound down 8 August 2025); the last published self-serve price was $149 per month on the Growth plan before it was retired in October 2024 (free trial) | $0 (generous monthly free tiers; pay only past the allowance) (free plan available) |
| Pricing model | Historic. June began with a freemium model (free up to roughly 1,000 active users, Growth at $149 per month, custom pricing above that). In October 2024 it removed the free plan and moved to a single all-in-one plan, quote-only, tiered by monthly active users, with every feature included at every tier and a 14-day trial. The product wound down on 8 August 2025 and is no longer sold; no current price exists. | 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 plan | No | 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. |
| Free trial | Historically 14 days on the all-in-one plan; no trial is available now | Not applicable; the free tier is permanent, not a trial |
| Best for | Historically: seed to Series A B2B SaaS teams that needed account-level usage analytics fast, without a data team or a tracking plan, and that already ran Segment. As of 2026 the honest answer is that it is not for anyone, because the product no longer exists; the profile is retained for teams evaluating its successors or planning a migration off it. | 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. |
| Setup time | Historically the fastest in the category: connecting an existing Segment, RudderStack, or Freshpaint source produced auto-generated reports within minutes, and a direct SDK install was an afternoon. Getting company-level reporting right took longer, since it required engineering to send group calls with the right traits. | 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. |
| Learning curve | Low by design. The templated reports meant most users never had to learn a query builder, and the vocabulary (active companies, power users, slipping away) mapped onto questions teams already asked. June AI's SQL editor was the only surface that assumed technical skill. | Low for the web analytics dashboard; moderate for funnels, cohorts, and replay; high for SQL insights, warehouse modeling, and experimentation statistics. |
| Platforms | Web application (SaaS), JavaScript and React SDKs, Node, Python, and Ruby server SDKs, HTTP API, Segment, RudderStack, and Freshpaint as CDP sources | 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) |
| Compliance | GDPR, SOC 2 (report provided on request), DPA available | SOC 2 Type II, GDPR, HIPAA (BAA on Boost, Scale, or Enterprise package) |
| Founded | 2020 | 2020 |
| Headquarters | San Francisco, California (distributed team, largely European) | Remote-first; US-incorporated (San Francisco), team distributed globally |
| Ownership | Acquired by Amplitude (2025); standalone product discontinued | Venture-backed |
Strengths and limitations
June
Strengths
- The company-level data model was genuinely differentiated: B2B retention, expansion, and churn questions answered at the account level by default rather than by workaround.
- Time to first insight was measured in minutes because reports were auto-generated from templates on connection rather than built from an empty canvas.
- It fitted the existing stack instead of replacing it, reading from Segment, RudderStack, or Freshpaint rather than demanding fresh instrumentation.
- Slack alerts and CRM write-back put usage signals in front of sales and customer success, who are the people who act on them.
Limitations
- The product no longer exists. June wound down on 8 August 2025, signups are closed, and the website now serves an acquisition notice; the YC profile lists the company as inactive.
- Data was not retained indefinitely after the wind-down: customers had a thirty-day export window, so a team that missed it has no route back to its historical event data.
- Company-level reporting depended on correctly implemented group calls. Where engineering had not sent group traits, June fell back to inferring accounts from email domain, which broke for customers using consumer email addresses or multiple domains.
- No session replay, no feature flags, no experimentation, and no in-app guides, so June was always one tool among several rather than a platform.
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.
Pricing compared
June
Historic. June began with a freemium model (free up to roughly 1,000 active users, Growth at $149 per month, custom pricing above that). In October 2024 it removed the free plan and moved to a single all-in-one plan, quote-only, tiered by monthly active users, with every feature included at every tier and a 14-day trial. The product wound down on 8 August 2025 and is no longer sold; no current price exists.
- Free (retired October 2024)$0
- Growth (retired October 2024)$149
- All-in-one (October 2024 to August 2025)Quote only
For its first four years June was one of the best value purchases in product analytics for small B2B SaaS: $149 a month bought account-level retention and adoption reporting that would otherwise have meant an Amplitude or Mixpanel contract plus a data person to configure it. That value evaporated in two steps. The October 2024 move to quote-only pricing aimed at companies above $1M ARR removed the segment the tool was best for, and the August 2025 wind-down removed the product. Any team currently budgeting for June should redirect the line item; the vendor-recommended destination is Amplitude, and the closest self-serve substitutes for the company-level model are Mixpanel with group analytics enabled or PostHog with a group type configured.
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.
Editorial verdict on each
June
June was a good product with a real idea: in B2B SaaS the account is the unit that renews, so the account should be the unit the analytics tool reasons about, and reports should exist before anyone asks for them. For four years that combination made it the most sensible product analytics purchase a small B2B software company could make, and its support and speed-to-insight earned it a review record most vendors would envy. None of that is buyable now. The company removed its free plan in October 2024 to chase customers above $1M ARR, then wound the product down entirely on 8 August 2025 when the founding team joined Amplitude, leaving customers a thirty-day export window. This profile exists as a record and a migration aid rather than a recommendation: if you are here because a spreadsheet still lists June as a vendor, the line item should be closed and the tracking code removed, and the realistic replacements are Amplitude if you want the documented path, or PostHog and Mixpanel if you want June's old price point and are willing to configure account-level analysis yourself.
Read the full June profilePostHog
Category LeaderPostHog 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 profileJune profile last reviewed 2026-08-23; PostHog last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.