Kissmetrics 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 assessmentKissmetrics compared with PostHog
PostHog bundles analytics, session replay, feature flags, experiments, and surveys into one engineering-oriented platform with a generous free tier and a self-host option. Kissmetrics is narrower and more marketing-facing: no replay, no feature flags, but stronger revenue attribution and a UI that a non-engineer will navigate without help. Engineering-led teams almost always prefer PostHog; marketing-led teams that want revenue attribution rather than a toolkit tend to prefer Kissmetrics.
Choose Kissmetrics if
Small SaaS and ecommerce teams that need person-level analytics (identity resolution, funnels, cohorts, and revenue attribution) without an analytics engineer, and that want transparent event-based pricing with a free tier rather than a sales call.
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 | Kissmetrics | PostHog |
|---|---|---|
| Category | Product Analytics | Analytics |
| Starting price | Free for 100,000 events per month; paid plans from $99 per month ($79 per month billed annually) (free plan available) | $0 (generous monthly free tiers; pay only past the allowance) (free plan available) |
| Pricing model | Usage-based on monthly tracked events, with the per-event rate falling as volume rises. A permanently free workspace covers 100,000 events a month with three seats. Paid plans start at Growth and step through Silver and Gold rate bands automatically as volume grows, with a negotiated Custom band above 5 million events. Annual billing takes a flat 20 percent off. | 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 | 100,000 events per month, 3 seats, autocapture, dashboards, live view, AI chat, and the core funnel, cohort, and activity reports | 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 | No time-limited trial; the free workspace is the trial, and no card is required | Not applicable; the free tier is permanent, not a trial |
| Best for | Small SaaS and ecommerce teams that need person-level analytics (identity resolution, funnels, cohorts, and revenue attribution) without an analytics engineer, and that want transparent event-based pricing with a free tier rather than a sales call. | 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 | Minutes for the snippet and first data, with autoconfiguration proposing dashboards on the same day. Budget one to two weeks of part-time work to define custom events, set event roles, and connect billing before the revenue reports are trustworthy. | 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 for reading dashboards and asking questions through the AI chat. Moderate for the part that actually decides data quality: naming events consistently, assigning roles, and calling identify at the right moment so anonymous history aliases cleanly. | Low for the web analytics dashboard; moderate for funnels, cohorts, and replay; high for SQL insights, warehouse modeling, and experimentation statistics. |
| Platforms | Web (JavaScript snippet), Google Tag Manager, Segment, iOS SDK, Android SDK, Server-side APIs, Shopify, WooCommerce, Magento, WordPress | 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, CCPA | SOC 2 Type II, GDPR, HIPAA (BAA on Boost, Scale, or Enterprise package) |
| Founded | 2008 | 2020 |
| Headquarters | Saint Petersburg, Florida, United States | Remote-first; US-incorporated (San Francisco), team distributed globally |
| Ownership | Privately held by Kissmetrics Holding Inc. after a 2023 sale and a 2025 merger with Sandstorm Analytics | Venture-backed |
Strengths and limitations
Kissmetrics
Strengths
- Person-level identity resolution is the original design, not a feature bolted on, so cross-device journeys and pre-signup history hold together properly.
- Autocapture plus autoconfiguration removes the instrumentation project that historically kept product analytics out of reach for small teams.
- Revenue attribution is a first-class report rather than an integration, which makes the tool legible to founders and marketers, not only analysts.
- Transparent published per-event pricing with a falling unit rate, no quote required until 5 million events a month.
Limitations
- The company is small and has changed ownership twice since 2023 (an Acquire.com sale in 2023, then a merger with Sandstorm Analytics in 2025), so continuity is a real diligence question rather than a formality.
- The public review base is thin and largely dated; recent third-party evidence about the rebuilt platform is scarce compared with Mixpanel, Amplitude, or PostHog.
- No session replay or heatmaps, so diagnosing why a step fails requires a second tool alongside it.
- Autocapture makes the event meter move quickly, and overages roll onto the next invoice automatically rather than pausing collection.
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
Kissmetrics
Usage-based on monthly tracked events, with the per-event rate falling as volume rises. A permanently free workspace covers 100,000 events a month with three seats. Paid plans start at Growth and step through Silver and Gold rate bands automatically as volume grows, with a negotiated Custom band above 5 million events. Annual billing takes a flat 20 percent off.
- Free$0
- Growth$99
- Silver$0.15
- Gold$0.10
- CustomNegotiated
Per-event pricing that halves between the entry band and the volume band is one of the more honest models in product analytics, and a free 100,000-event workspace with real reports beats most competitors' trial offers. At $99 a month a small SaaS team gets identity resolution, funnels, cohorts, and revenue attribution that would cost several times more from Amplitude or Mixpanel at comparable functionality. The risk you are pricing in is vendor scale rather than sticker: this is a small company that has changed hands twice, so weigh portability, export, and the size of the support organization as part of the cost.
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
Kissmetrics
Kissmetrics has an unusual profile: a well-known name attached to a small independent company running a substantially rebuilt product. The core idea, that analytics should follow a person from first anonymous visit through to revenue, is still the right one, and the 2025 relaunch fixed the historical objection by making autocapture and autoconfiguration do the instrumentation work a small team never had time for. Pricing is genuinely small-business friendly: a free 100,000-event workspace with real reports, $99 a month to unlock Populations and the full query surface, and a unit rate that halves at volume without a sales call. What you give up is scale of vendor. There is no replay, the integration catalogue is about thirty connections, recent independent reviews are scarce, and the company has changed hands twice in three years. Buy it if revenue attribution and person-level funnels are the questions you need answered this quarter and you would rather spend $99 than $900; do your diligence on continuity and export before it becomes the system of record for your growth numbers.
Read the full Kissmetrics 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 profileKissmetrics 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.