Product analytics tools record what users do inside a digital product, such as screens viewed, features used and steps completed, and turn those events into funnels, retention curves, paths and behavioural cohorts. Unlike web analytics, which concentrates on traffic sources and page views, product analytics follows identified users over time to explain activation, engagement and churn.
This list covers twelve tools available in November 2026, from the listed analytics company Amplitude, which reported US$343.2 million of revenue for fiscal 2025, to open-source options such as PostHog and Matomo. Entries record published pricing from each vendor's own page, documented ownership changes, notably Amplitude's acquisition of Statsig in May 2026, and specific limitations.
Contents
- What is a product analytics tool
- History and market
- Key features to compare
- Pricing models
- How to choose
- Methodology
- The list
- Comparison table
- Alternatives by use case
- Recent developments
- Frequently asked questions
- See also
What is a product analytics tool
A product analytics tool collects behavioural events from a web or mobile application, links them to users or accounts, and offers reports that answer questions about adoption and retention: which share of sign-ups reach a key action, which features predict retention, where users drop out of a flow, and how a release changed behaviour. Core report types are event segmentation, funnels, retention, paths or flows, and cohorts. Most tools now add session replay, experimentation and in-app messaging around this core.
The category borders several others. Web analytics software such as Google Analytics focuses on acquisition and page traffic. Session replay and heatmap tools provide qualitative evidence. A/B testing software and feature-flag platforms run controlled experiments. Customer data platforms collect and route events to many destinations, and business intelligence tools query the data warehouse for company-wide reporting. Products in this list increasingly span two or more of these categories, as Amplitude's takeover of the Statsig platform shows.
History and market
Event-based analytics for software emerged in the late 2000s and early 2010s as SaaS and mobile apps needed user-level rather than page-level measurement. Mixpanel and Kissmetrics were early entrants; Heap, founded in 2013, introduced autocapture of all interactions; Amplitude grew into the largest standalone vendor and is publicly listed, reporting fiscal 2025 revenue of US$343.2 million and ARR of US$366 million. Open-source alternatives, notably PostHog and the self-hosted Matomo, gained ground with engineering teams wanting data ownership.
Consolidation has accelerated. Contentsquare announced its acquisition of Heap on 28 September 2023. Statsig agreed on 2 September 2025 to join OpenAI, and was then taken over by Amplitude (announced as a strategic partnership) on 5 May 2026, while its original team stayed at OpenAI. Amplitude also bought InfiniGrow in 2025 and by the third quarter of 2026 reported ARR of US$431 million, up 24% year on year. The direction of travel is towards platforms that combine analytics, experimentation, replay and AI agents that answer questions in natural language.
Key features to compare
Data capture model
Tools either require explicit tracking calls (Mixpanel, Amplitude, Kissmetrics) or autocapture interactions (Heap, Fullstory), with PostHog supporting both. Autocapture is faster to start but needs curation.
Report depth
Compare funnels with conversion windows and holding constants, retention by custom events, path analysis and behavioural cohorts that can be reused across reports.
Identity and account-level analysis
B2B products need analysis by account as well as by user; check group analytics support and cross-device identity merging.
Experimentation and feature flags
Native flags and experiments, as in PostHog and Statsig, close the loop between measurement and release.
Qualitative context
Session replay, heatmaps and surveys explain why a metric moved; Fullstory and LogRocket specialise in replay.
Warehouse integration
Warehouse-native deployment or raw export (Statsig's warehouse-native option, GA4's BigQuery export) matters to data teams that want one source of truth.
Privacy and data residency
Self-hosting (PostHog, Matomo) or EU data centres reduce compliance work for regulated organisations.
Pricing models
Vendors price on one of four units. Events: Amplitude (2 million free), Mixpanel (1 million free, US$100 per month for 1.5 million on yearly billing), Statsig (US$0.05 per 1,000 events on Pro) and Kissmetrics (US$0.20 to US$0.10 per 1,000). Sessions: Heap, Fullstory and LogRocket, whose Core plan starts at US$83 per month for 10,000 sessions. Monthly active users: Pendo and Userpilot, the latter from US$299 per month. Hits: Matomo Cloud from 29 per month for 50,000 hits.
Event pricing rewards products with many users who do little; MAU pricing rewards products with few but intensive users. Session pricing suits replay-centric tools but becomes expensive at high traffic. Enterprise plans across the category are almost always negotiated, and free tiers range from 500 MAU (Pendo) to 2 million events (Amplitude and Statsig).
How to choose
Early-stage start-ups typically start with a free tier from Amplitude, Mixpanel or PostHog, choosing PostHog when they also want feature flags and replay on one bill. B2B SaaS companies focused on onboarding and feature adoption often pair analytics with in-app guidance through Pendo or Userpilot. Teams that run many experiments look at Statsig or Amplitude Experiment. Organisations needing qualitative evidence add Fullstory or LogRocket, or choose Heap for autocapture with Contentsquare's replay.
Marketing-led websites often find Google Analytics 4 sufficient. Public-sector and EU organisations with strict data-protection requirements tend towards self-hosted Matomo or PostHog. Price-sensitive small businesses wanting identified-user funnels and revenue reports can use Kissmetrics' published tiers.
Methodology
Tools were included if they offer event- or session-based analysis of user behaviour within a product, are commercially available in November 2026 and publish product documentation in English. The order reflects, in sequence: depth of core product analytics (funnels, retention, cohorts, paths); breadth of adjacent capabilities (experimentation, replay, in-app engagement); transparency of published pricing and size of the free tier; and deployment and data-ownership options. Prices are list prices from vendor pricing pages in November 2026. Financial figures come from company releases. No hands-on testing, user reviews or ratings were used.
The list
1
Listed product analytics platform with experimentation, now including Statsig
Best for: Product teams at growth-stage and enterprise companies
Amplitude is a publicly listed digital analytics company whose core product analyses event streams to show funnels, retention, paths and behavioural cohorts. It has added experimentation, session replay, a customer data platform and AI agents around that core. Its fiscal 2025 revenue was US$343.2 million, up 15% from US$299.3 million, and annual recurring revenue reached US$366 million; 698 customers paid more than US$100,000 a year. By the third quarter of 2026 ARR had grown to US$431 million, 855 customers exceeded US$100,000 in ARR, and the company described itself as serving more than 5,100 paying customers.
Amplitude's most significant recent move was bringing Statsig into the business: Statsig's own blog notes that it was taken over by Amplitude (announced as a strategic partnership) on 5 May 2026, with the product, brand and customer base joining Amplitude while the original team remained at OpenAI. Pricing is event-based. The Free plan includes 2 million events per month without a credit card, Plus starts at US$0 for the first 2 million events and extends to 700,000 monthly tracked users or 70 million events, and Growth and Enterprise are quoted. The drawback most often raised is that per-event rates beyond the free tier are not published, so mid-sized buyers must use an estimator or talk to sales.
Key features
- Funnels, retention, paths and behavioural cohorts
- Experimentation and feature flags (including Statsig)
- Session replay
- Built-in customer data platform
- AI agents and assistant for analysis
- Free plan of 2 million events/month
Pricing
Free: 2M events/month, no card. Plus: starts at US$0 (first 2M events free), up to 700K MTU or 70M events, card required. Growth and Enterprise: custom, event-based.
Ownership and history
Amplitude reports as a listed company; on 5 May 2026 it acquired Statsig, which had previously agreed in September 2025 to join OpenAI. Its 2025 results also listed the acquisition of InfiniGrow, a marketing analytics company.
- Revenue (FY2025)
- US$343.2m (company release)
- ARR (Q3 2026)
- US$431m
- Paying customers
- 5,100+ (Q3 2026)
- Free plan
- 2M events/month
Strengths
- Mature behavioural analytics
- Experimentation now in the same company
- Public company with disclosed financials
- Generous free tier
Limitations
- Paid per-event rates not published
- Growth and Enterprise require sales
- Statsig integration still in progress
- Breadth adds configuration overhead
2
Event analytics with transparent per-event pricing
Best for: Start-ups and mid-market product teams wanting self-serve pricing
Mixpanel is one of the longest-established event-based product analytics tools, describing itself as "a product intelligence platform that helps teams ship fast". Its first office listed is in San Francisco and its chief executive is Jen Taylor. Reports cover insights, funnels, flows, retention and cohorts, and Mixpanel has added session replay, warehouse connectors and experiment reporting.
Its pricing is among the most transparent of the established vendors. The Free plan includes up to 1 million events per month with no card required. The Growth plan starts at US$0 with the first million events free and extends to 20 million events; the pricing page lists US$100 per month for 1.5 million events on yearly billing and US$140 per month on monthly billing. Above 20 million events per month, Enterprise pricing is negotiated. Self-serve pricing and fast query performance make Mixpanel a frequent first choice for SaaS start-ups. Limitations include a narrower set of adjacent tools than Amplitude or PostHog (no built-in feature flagging), and costs that rise linearly with events, which requires tracking-plan discipline.
Key features
- Insights, funnels, flows and retention reports
- Cohorts and behavioural segmentation
- Session replay
- Data warehouse connectors
- Free plan of 1 million events/month
Pricing
Free: up to 1M events/month. Growth: starts at US$0, first 1M events free, up to 20M events; example tier 1.5M events at US$100/month (yearly) or US$140/month (monthly). Enterprise: custom, for 20M+ events/month.
- Office
- San Francisco
- CEO
- Jen Taylor
- Free plan
- 1M events/month
- Growth example
- US$100/month for 1.5M events (yearly)
Strengths
- Published self-serve pricing
- Fast, intuitive reporting
- Free tier suits early-stage products
- Counts events across all projects
Limitations
- No native feature flags
- Costs scale directly with event volume
- Enterprise needed above 20M events
- Fewer qualitative tools than replay specialists
3
Open-source product suite: analytics, replay, flags, experiments, surveys
Best for: Engineering-led teams that want many tools on one usage bill
PostHog is an open-source product platform that bundles product analytics, web analytics, session replay, feature flags, experiments, surveys, error tracking, a data warehouse and AI observability under one sign-up. Its pricing page states that more than 600,000 companies use it.
Every product has its own monthly free allowance that applies whether or not a card is on file: 1 million analytics events, 5,000 session recordings, 1 million feature-flag requests, 100,000 exceptions, 1,500 survey responses and 10 GB of logs. The free plan allows one project and one-year data retention; adding a card moves an account to pay-as-you-go with six projects, two-year retention and per-product billing limits. Platform packages called Boost, Scale and Enterprise add SSO, audit logs and longer retention, up to seven years on Enterprise. Per-unit rates are shown in a calculator rather than as a flat price list. The breadth suits engineering teams, but the interface is developer-oriented and marketing or product managers used to dedicated tools may find individual modules less polished than specialists.
Key features
- Product and web analytics
- Session replay
- Feature flags and A/B experiments
- Surveys
- Built-in data warehouse and sources
- Error tracking and logs
Pricing
Free every month: 1M analytics events, 5K recordings, 1M flag requests, 100K exceptions, 1,500 survey responses, 10 GB logs; 1 project, 1-year retention. Pay-as-you-go: usage above free tier, 6 projects, 2-year retention, per-product billing limits. Platform packages (Boost, Scale, Enterprise) add SSO, audit logs and longer retention; onboarding call US$80.
- Users
- 600,000+ companies (company figure)
- Free analytics
- 1M events/month
- Free replay
- 5,000 recordings/month
- Licence
- Open source
Strengths
- Many tools under one bill
- Per-product free tiers reset monthly
- Billing limits prevent surprise charges
- Open-source and self-host option
Limitations
- Developer-centric interface
- Per-unit rates require calculator
- Free plan limited to one project
- Individual modules less deep than specialists
4
Autocapture product analytics, now part of Contentsquare
Best for: Teams that want retroactive analysis without a tracking plan
Heap is a product analytics platform founded in 2013 whose distinguishing feature is autocapture: its snippet records clicks, page views and form changes automatically, so events can be defined retroactively rather than instrumented in advance. Contentsquare announced an agreement to acquire Heap on 28 September 2023, when Heap served more than 1,200 companies. The Heap site now carries Contentsquare branding and its AI assistant is named Sense.
Heap's Free plan covers up to 10,000 monthly sessions with six months of data history; Growth is priced by estimate after installing the snippet and includes 12 months of history; Pro and Premier use custom session-based pricing. Autocapture shortens time to first insight and protects against missing events, but it generates large volumes of raw data and can capture fields that need masking, so governance and naming work shifts from instrumentation to curation. Within Contentsquare, Heap is increasingly positioned alongside experience analytics and session replay, which benefits buyers wanting both but makes the standalone roadmap less certain.
Key features
- Autocapture of clicks, page views and form changes
- Retroactive event definitions
- Funnels, journeys and retention
- Session replay via Contentsquare
- Sense AI assistant
Pricing
Free: up to 10K monthly sessions, 6 months history. Growth: estimate after installing snippet, 12 months history. Pro and Premier: custom session pricing.
- Founded
- 2013
- Owner
- Contentsquare (deal announced 28 September 2023)
- Free plan
- 10K sessions/month
Strengths
- Retroactive analysis without tracking plan
- Quick set-up
- Combined with Contentsquare experience analytics
- Session-based pricing independent of event count
Limitations
- No published paid prices
- Autocapture data needs curation and masking
- Short history on Free
- Roadmap tied to parent company
5
Product analytics combined with in-app guides and feedback
Best for: B2B SaaS companies driving feature adoption in-app
Pendo combines product analytics with in-app guidance, so the same platform that measures feature usage can show tooltips, walkthroughs, announcements and surveys to users. It also offers roadmapping and feedback collection, which makes it popular with B2B software companies whose product and customer-success teams share responsibility for adoption.
Pendo Free supports unlimited web and mobile app keys for up to 500 monthly active users. The paid Base, Core and Ultimate plans are sized on custom MAU volumes and priced on request. The pricing page also lists Novus, a free beta with no MAU limit during the beta period. Because pricing scales with MAU rather than events, Pendo can be economical for products with intensive use by relatively few users, and comparatively expensive for consumer apps with many light users. Its analytics are adequate for adoption questions but less flexible for deep behavioural analysis than dedicated analytics tools, and no paid prices are published.
Key features
- Feature usage and adoption analytics
- In-app guides, tooltips and walkthroughs
- NPS and in-app surveys
- Feedback and roadmap management
- Web and mobile apps
Pricing
Free: up to 500 MAU, unlimited app keys. Base, Core, Ultimate: custom MAU volume, request pricing. Novus: free beta, no MAU limit during beta.
- Free plan
- 500 MAU
- Pricing basis
- Monthly active users
- Paid plans
- Request pricing
Strengths
- Analytics and in-app guidance in one product
- Strong fit for B2B SaaS
- MAU pricing suits low-user, high-use products
- Feedback and roadmap tools included
Limitations
- No published paid prices
- Free plan limited to 500 MAU
- Analytics less flexible than specialists
- MAU pricing costly for large consumer user bases
6
Digital experience analytics with session replay and autocapture
Best for: Teams combining quantitative analytics with session-level evidence
Fullstory is a digital experience analytics platform best known for high-fidelity session replay, combined with autocaptured behavioural data that can be queried for funnels, journeys, frustration signals such as rage clicks, and conversion analysis. It also sells products for workforce and other contexts under separate plan families.
FullstoryFree is a permanent plan with 30,000 sessions per month, 12 months of data retention and up to 10 users, requiring no credit card. The Business, Advanced and Enterprise analytics plans are priced through a demo request, and session allowances for paid plans are not published. Fullstory's strength is qualitative depth: analysts can move from a metric to the specific sessions behind it. Its weaknesses for pure product analytics buyers are opaque pricing and a focus on web and mobile experience rather than server-side or warehouse event data.
Key features
- High-fidelity session replay
- Autocapture of interactions
- Frustration signals (rage and dead clicks)
- Funnels and journey analysis
- Free plan with 30,000 sessions/month
Pricing
FullstoryFree: 30,000 sessions/month, 12-month retention, up to 10 users, no card. Business, Advanced, Enterprise: request pricing.
- Free plan
- 30,000 sessions/month, 10 users
- Paid plans
- Request pricing
Strengths
- Generous free session allowance
- Strong qualitative analysis
- Autocapture reduces instrumentation
- 12-month retention on free plan
Limitations
- Paid prices unpublished
- Session limits for paid plans unpublished
- Less suited to server-side events
- Overlaps with dedicated analytics tools
7
Experimentation and feature flags with built-in product analytics
Best for: Teams that treat A/B testing as the core of product analytics
Statsig is an experimentation platform that combines feature flags, A/B testing, product analytics and session replay, with an option to run warehouse-native on a customer's own data warehouse. Its ownership changed twice in under a year: on 2 September 2025 its chief executive Vijaye Raji announced a definitive agreement for Statsig to join OpenAI, and a later note on the same post states that Statsig was taken over by Amplitude (announced as a strategic partnership) on 5 May 2026, with the product, brand and customer base becoming part of Amplitude while the original team stayed at OpenAI.
Statsig's published pricing remains separate. The Developer plan is free with 2 million events and 50,000 session replays per month and one-year analytics retention; Pro costs US$150 per month with 5 million events included and US$0.05 per 1,000 events after that, plus unlimited analytics retention; Enterprise is contracted on events or experiments, with volume discounts and warehouse-native deployment. Its combination of flags and experiment analysis in one tool appeals to data-science and engineering teams. The main uncertainty for buyers is integration into Amplitude, which may change packaging over time.
Key features
- Feature flags and A/B experiments
- Product and web analytics
- Session replay
- Warehouse-native deployment
- Free plan with 2 million events/month
Pricing
Developer: free, 2M events/month, 50K replays, 1-year retention. Pro: US$150/month, 5M events included then US$0.05 per 1K events, 100K replays, unlimited retention. Enterprise: custom, event- or experiment-based.
- Owner
- Amplitude (since 5 May 2026)
- Free plan
- 2M events/month
- Pro
- US$150/month
Strengths
- Published per-event overage
- Strong experimentation statistics
- Warehouse-native option
- Generous free tier
Limitations
- Ownership changed twice in 2025–2026
- Integration with Amplitude may alter packaging
- Analytics less deep than Amplitude's own
- Original team moved to OpenAI
8
Session replay and product analytics with AI issue detection
Best for: Front-end and product teams diagnosing user-facing issues
LogRocket records user sessions together with console logs, network requests and errors, and layers product analytics (funnels, paths, heatmaps) and an AI component named Galileo that surfaces sessions with likely problems. It sits between product analytics and front-end error monitoring, and engineering and product teams often share it.
LogRocket publishes session-based prices. The Free plan includes 1,000 sessions per month. Core starts at US$83 per month billed annually (US$990 a year) for 10,000 sessions, and Pro, which adds Galileo AI, starts at US$292 per month (US$3,500 a year) for 10,000 sessions and rises to US$5,167 per month for 3 million sessions. Enterprise begins above 4 million sessions with custom annual pricing and unlimited seats; final prices depend on seats, retention and add-ons such as streaming export. Session-based pricing is predictable, but at high traffic LogRocket is more expensive than event-based analytics, and its analytics depth is narrower than dedicated analytics platforms.
Key features
- Session replay with console and network logs
- Error and performance tracking
- Funnels, paths and heatmaps
- Galileo AI issue detection (Pro)
- Streaming export add-on
Pricing
Free: 1,000 sessions/month. Core: from US$83/month (US$990/year) for 10K sessions. Pro: from US$292/month (US$3,500/year) for 10K sessions; 1M sessions US$2,258/month. Enterprise: 4M+ sessions, custom. Prices are monthly equivalents on annual billing.
- Free plan
- 1,000 sessions/month
- Core
- From US$83/month (annual)
- Pro
- From US$292/month (annual)
Strengths
- Combines replay with technical debugging data
- Fully published session-price grid
- AI triage on Pro
- Useful to both engineering and product
Limitations
- Expensive at high session volumes
- Small free allowance
- AI features only on Pro
- Analytics narrower than event-based tools
9
Free event-based web and app analytics from Google
Best for: Marketing-led teams and websites needing free analytics
Google Analytics 4 (GA4) is Google's event-based analytics product for websites and mobile apps, which replaced Universal Analytics. Google describes it as giving "the tools, free of charge, to understand the customer journey and improve marketing ROI". An enterprise edition, Analytics 360, adds service-level agreements, higher limits and advanced features, without a published price.
GA4 has explorations for funnels, paths, cohorts and segment overlap, and exports raw events to BigQuery, which lets data teams run custom product analysis in SQL. It is strongest for acquisition and marketing attribution, given its integration with Google Ads, Search Console and the rest of Google Marketing Platform. As a product analytics tool it is more limited: reports are sampled or thresholded in some situations, identity resolution across logged-in users requires work, and features such as behavioural cohorts, retention by feature or in-app experimentation are less developed than in Amplitude, Mixpanel or PostHog. Organisations subject to strict EU data-protection reviews also tend to evaluate privacy-focused alternatives such as Matomo.
Key features
- Event-based web and app tracking
- Explorations: funnel, path, cohort
- BigQuery raw-event export
- Google Ads and Search Console integration
- Analytics 360 enterprise edition
Pricing
Google Analytics: free of charge. Analytics 360: enterprise edition, pricing not published.
- Owner
- Google
- Pricing
- Free; Analytics 360 quote-based
Strengths
- Free
- Strong marketing attribution
- BigQuery export for custom analysis
- Wide adoption and skills availability
Limitations
- Weaker product-usage analysis than specialists
- Data thresholding and sampling in some reports
- Privacy scrutiny in parts of the EU
- Analytics 360 pricing unpublished
10
Open-source, privacy-focused analytics, self-hosted or cloud
Best for: Organisations that need data ownership and EU-friendly hosting
Matomo is an open-source web analytics platform positioned as a privacy-focused alternative to Google Analytics. It can be installed on a company's own servers or used as Matomo Cloud. Beyond standard traffic reports it offers funnels, heatmaps, session recordings, A/B testing and form analytics as plugins or cloud features, giving it partial product analytics coverage.
The On-Premise Community edition is free with unlimited users and hits. Matomo Cloud starts at 29 per month excluding tax for 50,000 hits per month (the page does not state the currency) and offers a free trial without a credit card. The appeal is full data ownership, which simplifies compliance for public-sector and EU organisations. As a product analytics tool it remains web-traffic oriented: behavioural cohorting and retention analysis are less developed than in Amplitude or Mixpanel, and self-hosting at scale requires database tuning.
Key features
- Self-hosted or cloud deployment
- Funnels and goals
- Heatmaps and session recordings
- A/B testing
- Free On-Premise Community edition
Pricing
On-Premise Community: free, unlimited users and hits. Cloud: from 29/month excl. tax for 50,000 hits/month; free trial, no card.
- Licence
- Open source
- Cloud entry
- 29/month for 50,000 hits
- On-Premise
- Free
Strengths
- Full data ownership
- Free self-hosted edition
- Privacy-oriented positioning
- Low cloud entry price
Limitations
- Web-oriented rather than product-oriented
- Self-hosting at scale needs expertise
- Currency not stated on pricing page
- Fewer behavioural analysis features
11
Product analytics with in-app onboarding and surveys
Best for: SaaS product and growth teams focused on onboarding
Userpilot is a product growth platform that combines product analytics (funnels, paths, retention, feature tags) with no-code in-app experiences such as checklists, tooltips, modals and NPS surveys. It competes most directly with Pendo for B2B SaaS teams that want analytics and engagement in one tool.
Pricing is based on monthly active users and is published for the lower plans: Starter costs US$299 per month for up to 2,000 MAU, Growth starts at US$849 per month and covers 2,000 to 100,000 MAU, and Enterprise is negotiated with 10,000 MAU included. The page does not state how usage above included MAU is charged. Userpilot's no-code builder lets non-engineers ship onboarding flows quickly. Its limitations are a relatively high entry price compared with free analytics tiers elsewhere, no free plan, and analytics that are aimed at adoption questions rather than open-ended behavioural exploration.
Key features
- Funnels, paths and retention analytics
- No-code in-app flows and checklists
- In-app NPS and surveys
- Feature tagging
- Resource centre
Pricing
Starter: US$299/month, up to 2,000 MAU. Growth: from US$849/month, 2K to 100K MAU. Enterprise: custom, 10K MAU included. Overage terms not stated.
- Starter
- US$299/month (2,000 MAU)
- Growth
- From US$849/month
- Pricing basis
- Monthly active users
Strengths
- Published prices for lower tiers
- Analytics and onboarding in one tool
- No-code builder for product managers
- Clear MAU bands
Limitations
- No free plan
- High entry price
- Overage terms unpublished
- Analytics aimed at adoption rather than deep exploration
12
Person-based event analytics with low published event pricing
Best for: Small SaaS and e-commerce teams wanting simple, cheap event analytics
Kissmetrics is one of the earliest person-based analytics tools, tying events to identified people so that funnels, cohorts and revenue reports follow individuals across devices and sessions. It is primarily used by SaaS and e-commerce businesses to measure acquisition, activation and revenue rather than detailed in-product behaviour.
Its pricing is simple and published. The Free plan includes 100,000 events per month and three seats with no card required. Growth starts at US$99 per month for 500,000 events with unlimited seats, at US$0.20 per 1,000 events, falling to US$0.10 per 1,000 events at the 5 million tier (US$499 per month); larger volumes are custom, and annual billing gives 20% off. The low price and unlimited seats are attractive for small teams. The product's feature set is narrower than the leading platforms, with no session replay, feature flags or experimentation, and it has a smaller integration ecosystem.
Key features
- Person-based event tracking
- Funnels and cohort reports
- Revenue and customer lifetime value reports
- Unlimited seats on Growth
- Free plan of 100,000 events/month
Pricing
Free: 100K events/month, 3 seats. Growth: from US$99/month for 500K events (US$0.20 per 1K), US$198 for 1M, US$499 for 5M (US$0.10 per 1K); custom above 5M; 20% off annually.
- Free plan
- 100K events/month
- Growth
- From US$99/month (500K events)
Strengths
- Low, fully published pricing
- Unlimited seats on paid plan
- Person-level revenue reporting
- Quick to adopt
Limitations
- Narrow feature set
- No session replay or experimentation
- Small free allowance
- Smaller ecosystem than leaders
Frequently asked questions
What is the difference between product analytics and web analytics?
Web analytics measures traffic: where visitors come from, which pages they view and which campaigns convert. Product analytics follows identified users inside an application over time, measuring feature adoption, funnels, retention and cohorts. Google Analytics 4 is primarily web analytics with some event analysis, while Amplitude, Mixpanel and PostHog are designed for in-product behaviour.
Which product analytics tool is free?
Several have permanent free plans: Amplitude and Statsig include 2 million events a month, Mixpanel and PostHog 1 million events, Fullstory 30,000 sessions, Heap 10,000 sessions, Kissmetrics 100,000 events and Pendo 500 monthly active users. Google Analytics is free, and Matomo's self-hosted Community edition is free with unlimited hits.
Is PostHog better than Mixpanel?
They suit different buyers. PostHog bundles analytics, replay, feature flags, experiments, surveys and a data warehouse on one usage-based bill and can be self-hosted. Mixpanel focuses on event analytics with a polished interface and published Growth pricing. Teams wanting many engineering tools in one place tend to prefer PostHog; analytics-only teams often prefer Mixpanel.
Who owns Statsig and Heap?
OpenAI acquired Statsig in September 2025. On 5 May 2026 Amplitude announced that it would take over the Statsig brand, customers and platform under what it describes as a strategic partnership; the original Statsig engineering team remained at OpenAI. Heap is owned by Contentsquare, which announced the acquisition on 28 September 2023.
How are product analytics tools priced?
Most charge by tracked events, sessions or monthly active users, with a free tier and negotiated enterprise plans. Event pricing suits products with many light users, MAU pricing suits products with fewer intensive users, and session pricing is common for replay-centric tools. Seats are usually unlimited or cheap, although some vendors limit users on free plans.
Do I need autocapture or manual tracking?
Autocapture records all interactions automatically, so events can be defined after the fact and nothing is missed, but it produces noisy data that must be curated and masked. Manual tracking requires a tracking plan and developer work, but yields cleaner, intentional events. Many teams combine both: autocapture for exploration and explicit events for key metrics.
Is Google Analytics 4 enough for product analytics?
For marketing sites and simple apps it often is, particularly with BigQuery export for custom analysis. For SaaS products needing account-level analysis, behavioural cohorts, feature retention or integrated experimentation, dedicated tools such as Amplitude, Mixpanel or PostHog provide more depth with less custom work.
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