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- 19 Best UX Analytics Tools in 2026
19 Best UX Analytics Tools in 2026
Compare the 19 best UX analytics tools by features, pricing, and best-fit use case, from heatmaps and session replay to product analytics and experimentation.
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UX analytics tools track how real users interact with a website or app, clicks, scrolls, taps, and drop-offs, and turn that behavior into insight teams can act on. The 19 tools below split into quantitative platforms that report numbers, qualitative platforms that show behavior directly through heatmaps and recordings, and user-research platforms that bring in direct feedback from real people.
Picking the right one depends on the question you are actually trying to answer. Each entry below covers features, pros and cons, pricing, and the best-fit use case, verified against each vendor's own site this session.
TL;DR
UX analytics tools record how real users click, scroll, tap, and drop off, then turn that behavior into insight teams can act on. Which tool fits depends on the question you need answered: quantitative platforms report the numbers, qualitative platforms show the behavior, and user-research platforms bring in direct feedback.
- Free site-wide traffic - Google Analytics reports sessions, conversions, and audience data at no cost, with a custom-priced GA 360 enterprise tier.
- Product event tracking - Amplitude and Mixpanel track feature adoption and cohorts, each with a free plan covering millions of events monthly.
- Heatmaps and recordings - Hotjar, FullStory, and Mouseflow show behavior directly, with FullStory offering a generous free session-replay tier.
- Human feedback - UserTesting and Lookback recruit real participants for moderated and unmoderated usability sessions.
- Best full picture - pair one quantitative tool with one qualitative tool, since neither alone answers both what happened and why.
What Is UX Analytics?
UX analytics is the practice of collecting and analyzing data on how users interact with a digital product, clicks, taps, scrolls, session paths, and time on page, to understand their behavior, preferences, and friction points. It differs from general web analytics by going beyond traffic and conversion counts into the specific moments where a design helps or hinders the person using it.
According to Nielsen Norman Group's eye-tracking research on how users read on the web, 79% of test users always scanned any new page they came across, and only 16% read word by word. That single finding is why heatmaps, scroll maps, and session recordings exist as a category: aggregate traffic numbers cannot show a scanning pattern, only direct behavioral data can.
UX analytics tools generally fall into three groups:
- Quantitative platforms - report numbers: sessions, events, conversion rates, and funnels. Google Analytics, Mixpanel, Amplitude, Heap, and Kissmetrics fall here.
- Qualitative platforms - show behavior directly through heatmaps, scroll maps, and session recordings. Hotjar, FullStory, Mouseflow, Crazy Egg, Lucky Orange, Clicky, UXCam, and Inspectlet fall here.
- User-research platforms - bring in direct feedback from real people through moderated or unmoderated sessions. Lookback and UserTesting fall here.
Adobe Analytics and Contentsquare blend quantitative and qualitative data into a single enterprise platform, while Optimizely and VWO sit adjacent to the category, using behavioral data specifically to run experiments rather than to report on behavior for its own sake.
The Value of UX Analytics Tools
A written specification describes what a feature is supposed to do. UX analytics shows what actually happens once real users touch it, and the gap between the two is usually where revenue and retention are lost. A support ticket or a stakeholder's hunch can point at a problem, but analytics is what confirms it is real and shows how many users it affects.
The practical benefits show up across a few areas:
- Faster root-cause diagnosis - a session recording or heatmap shows exactly where a user gave up, instead of guessing from a support ticket.
- Prioritization by evidence - funnel and cohort data show which friction point actually costs the most conversions, so fixes get ranked by impact, not by opinion.
- Validated design decisions - A/B testing and experimentation platforms confirm whether a redesign helped before it ships to every user.
- Cross-team alignment - product, design, and engineering can look at the same session replay or funnel chart instead of arguing from separate assumptions.
- Continuous feedback loops - in-product surveys and feedback polls surface qualitative context that pure behavioral data cannot explain on its own.
19 Best UX Analytics Tools
The 19 tools below span quantitative analytics, qualitative session data, and user-research platforms. The table maps each to its type, pricing, and the situation it fits, and every entry that follows covers features, pros and cons, and verified pricing.
UX Analytics Tool Comparison Table
| Tool | Type | Best for | Pricing |
|---|---|---|---|
| Google Analytics | Quantitative platform | Free, site-wide traffic and conversion reporting | Free (GA4); GA 360 enterprise tier is custom-priced |
| Adobe Analytics | Quantitative + qualitative platform | Enterprise-scale segmentation and anomaly detection | Custom pricing; contact vendor |
| Amplitude | Quantitative platform | Product event tracking and experimentation | Free (2M events/month); Growth and Enterprise custom |
| Kissmetrics | Quantitative platform | Individual and cohort behavior tracking | Free (100K events/month); Growth from $99/month |
| Hotjar | Qualitative platform | Heatmaps and session recordings | Now priced through Contentsquare, which acquired Hotjar |
| UXCam | Qualitative platform | Mobile app session replay and heatmaps | Custom pricing by session volume; free trial available |
| Contentsquare | Quantitative + qualitative platform | Enterprise experience analytics at scale | Free plan at $0; Growth from $49/month; enterprise tiers custom |
| Lookback | User-research platform | Moderated and unmoderated user research sessions | Freelance $299/year; Team $1,782/year |
| Mixpanel | Quantitative platform | Event tracking, funnels, and retention analysis | Free (1M events/month); Growth scales with volume |
| Mouseflow | Qualitative platform | Form and funnel friction analysis | Free plan; Essential $25/month |
| Crazy Egg | Qualitative platform | Simple heatmaps and A/B testing on a budget | Starter $29/month billed annually |
| FullStory | Qualitative platform | A generous free tier for session-level analytics | Free (30K sessions/month); paid tiers custom |
| Optimizely | Experimentation platform | Enterprise A/B testing and personalization | Custom pricing; contact vendor |
| VWO | Experimentation platform | Conversion rate optimization at scale | Growth, Pro, and Enterprise tiers; custom pricing |
| UserTesting | User-research platform | External, video-first usability feedback | Custom pricing; free single test available |
| Lucky Orange | Qualitative platform | Budget-friendly session recording | Build $32/month billed annually |
| Clicky | Qualitative platform | Privacy-friendly, lightweight real-time analytics | Free plan; Pro $9.99/month |
| Heap | Quantitative platform | Automatic event capture with no manual tagging | Free (10K sessions/month); Growth and above custom |
| Inspectlet | Qualitative platform | A free starting point for session replay | Free (2,500 sessions/month); paid tiers custom |
1. Google Analytics
Google Analytics (GA4) remains the default starting point for UX analytics because it is free and already familiar to most marketing and product teams. It reports traffic, session, and conversion data, and layers in machine-learning-driven insights that flag anomalies before a human would notice them.
Features:
- Cross-Platform Measurement - tracks users across sites and apps in one property.
- Real-Time Reporting - active users, their locations, and current page views as they happen.
- Conversion Tracking - measures ROI on actions like purchases and form submissions.
- Machine-Learning Insights - flags anomalies and predicts likely future user actions.
- Google Ecosystem Integration - connects directly to Google Ads, Search Console, and Looker Studio.
Pros:
- Free with no event or session cap for most standard use, which is unusual at this feature depth.
- Deep integration with Google's ad and search tools means marketing and analytics data live in one place.
Cons:
- It reports numbers, not behavior, so it cannot show a heatmap or a session recording on its own.
- GA4's event-based model has a real learning curve for teams used to the older Universal Analytics reports.
To learn more about how users interact with your web application, see this guide on web analytics tools for tools that complement GA4's traffic data with behavioral detail.
Best for: any team that needs free, comprehensive site-wide traffic and conversion reporting as the foundation of a broader UX analytics stack.
Pricing: GA4 is free for standard use. Google Analytics 360, the enterprise tier with higher data limits and SLAs, is custom-priced; contact Google for a quote.
2. Adobe Analytics
Adobe Analytics targets enterprises that need deeper behavioral analysis than GA4 provides. It uses machine learning through Adobe Sensei to surface subtle patterns in user behavior across web and mobile, and it plugs directly into the rest of Adobe Experience Cloud.
Features:
- Real-Time Data Processing - insights into user behavior as it happens rather than on a delay.
- Flow Analysis - visual pathways showing how users navigate the site or app.
- Anomaly Detection - automatically flags data points that deviate from the norm without manual digging.
- Advanced Segmentation - detailed breakdowns of user segments across a wide array of criteria.
- Adobe Experience Cloud Integration - connects natively with the rest of Adobe's marketing and CMS products.
Pros:
- Anomaly detection surfaces problems a team would otherwise need to go looking for manually.
- Native Adobe Experience Cloud integration is a real advantage for organizations already on Adobe's marketing stack.
Cons:
- No pricing is published anywhere on Adobe's site, so budgeting starts with a sales conversation.
- The depth of configuration options means real onboarding time before a team sees value.
Best for: enterprises already on Adobe Experience Cloud that need AI-driven segmentation and anomaly detection beyond what GA4 offers.
Pricing: custom; contact Adobe for a quote. No tier pricing is published on Adobe's own site.
3. Amplitude
Amplitude specializes in product analytics, tracking how users engage with features over time rather than just measuring page views. Behavioral cohorting and predictive analytics help teams spot what drives retention and what predicts churn before it happens.
Features:
- Funnel Analysis - pinpoints exactly where users drop off in a journey.
- Retention Analysis - shows how feature releases affect user engagement over time.
- Behavioral Cohorting - segments users by action, demographics, and custom events.
- Session Replay - included on all plans alongside behavioral data.
- Amplitude AI - AI agents that surface trends and connect features to outcomes.
Pros:
- The free plan covers 2 million events a month forever, with no credit card required.
- Unlimited seats on every plan mean adding team members does not change the bill.
Cons:
- It is built for product event data, not visual heatmaps, so it pairs best with a qualitative tool rather than replacing one.
- Growth and Enterprise pricing scale with event volume and require a sales conversation.
Best for: product teams that want to measure feature adoption and retention with a genuinely free starting tier.
Pricing: the Free plan covers 2 million events a month. Plus starts free and scales with usage. Growth and Enterprise are custom-priced based on event volume and requirements.
4. Kissmetrics
Kissmetrics tracks individual and group user behavior across devices and sessions, built specifically for e-commerce and digital marketing teams that need to connect analytics directly to the customer journey.
Features:
- Autocapture Tracking - one snippet captures events without a tag manager.
- Identity Resolution - tracks individual users across devices rather than anonymous sessions.
- Funnel and Cohort Analysis - visualizes drop-off points and groups users by acquisition channel or behavior.
- AI Chat Queries - natural-language questions against the underlying event data.
- A/B Testing - tests marketing messages or product features directly against user behavior.
Pros:
- The free tier covers 100,000 events a month with no credit card required.
- Per-event pricing beyond the free tier is transparent and published, unlike most enterprise analytics platforms.
Cons:
- Cost scales directly with event volume, so a high-traffic site can outgrow the lower tiers quickly.
- It has no heatmap or session-recording capability of its own.
Best for: e-commerce and marketing teams that want transparent, usage-based pricing for identity-resolved event tracking.
Pricing: the Free tier covers 100,000 events a month. Growth starts at $99/month for 500,000 events ($0.20 per 1,000 events beyond that). Silver drops to $0.15 per 1,000 events, and Gold to $0.10 per 1,000 events at 5 million-plus volume. Custom pricing applies above that, with a 20% discount on annual plans.
Note: Once analytics shows a UX problem, reproduce it across 10,000+ real browser and device configurations with TestMu AI's Real-Time Testing. Try TestMu AI now!
5. Hotjar
Hotjar is now owned and operated by Contentsquare; its own homepage and pricing page both redirect there as of this writing. The product itself is unchanged in spirit: heatmaps, session recordings, and feedback polls that combine quantitative and qualitative data in one view.
Features:
- Heatmaps - visualize clicks, mouse movements, and scroll behavior on your pages.
- Session Recordings - watch real user sessions to spot usability problems directly.
- Surveys and Feedback Polls - gather direct user feedback on specific features.
- Form Analysis - identifies fields that take too long to fill out or cause abandonment.
- Conversion Funnels - shows where users drop off on the way to completing a goal.
Pros:
- A lightweight, well-known interface that smaller teams can pick up quickly.
- Now backed by Contentsquare's broader analytics platform for teams that outgrow the standalone product.
Cons:
- Standalone pricing pages no longer exist independently of Contentsquare, which adds a step for teams evaluating it.
- It has no product-event tracking of its own, so it pairs with a quantitative tool rather than replacing one.
Best for: teams that want a familiar heatmap and recording workflow, now with Contentsquare's infrastructure behind it.
Pricing: priced through Contentsquare following the acquisition; the vendor's pricing page redirects there for current plans.
6. UXCam
UXCam is built specifically for mobile app teams, since most web-first heatmap tools handle native iOS and Android poorly. It captures session replays, heatmaps, and user journeys through an SDK, with an AI layer (Tara) that flags usability issues automatically.
Features:
- Session Replay - watch how users interact with your app in detail.
- Heatmaps - visualize taps, swipes, and scrolls to see where engagement concentrates.
- Crash Analytics - finds and fixes problems affecting app stability alongside UX data.
- Tara AI Insights - automated analysis the vendor states saves teams hours of manual session review.
Pros:
- Purpose-built for native mobile, where many web-first analytics tools are weak or absent entirely.
- A full-feature free trial is available before committing to a plan.
Cons:
- No pricing is published; every quote depends on session volume and team size.
- It is mobile-first, so a web-only product will not get full value from it.
Best for: mobile app teams that need session replay and heatmaps built specifically for native iOS and Android, not adapted from a web tool.
Pricing: custom, based on monthly session volume and team size (1-50, 51-1,000, 1,001-9,999, 10,000+). A free trial with full feature access requires no commitment.
7. Contentsquare
Contentsquare is an enterprise experience-analytics platform, and it now also owns Hotjar following its acquisition. It combines dynamic and zone-based heatmaps, session replay, and path analysis with AI-driven recommendations for navigation and content changes.
Features:
- Dynamic and Zone-Based Heatmaps - visualize engagement at the page level and by specific page section.
- Automatic Insights - AI-driven analysis identifies friction and optimization opportunities without manual digging.
- Conversion Funnel and Path Analysis - pinpoints drop-off and the most common navigation routes.
- Form Analysis - reduces abandonment by identifying which fields cause problems.
Pros:
- Combines analytics, session replay, and feedback in one enterprise platform instead of three separate tools.
- Owning Hotjar now gives Contentsquare an on-ramp product for smaller teams before an enterprise deal.
Cons:
- Enterprise tiers above Growth are still quoted by sales, even though entry pricing is now published.
- The depth of the platform is more than a small team typically needs.
Best for: enterprise teams that want behavioral analytics, session replay, and AI-driven recommendations in a single platform.
Pricing: a permanent Free plan at $0 covers 200,000 monthly sessions on one project. Growth starts at $49/month billed annually, and the tiers above it are quoted by sales.
8. Lookback
Lookback runs live and recorded user testing sessions, giving UX researchers a qualitative way to understand behavior through interactive interviews and screen capture rather than numerical data alone.
Features:
- Live Sessions - observe users interacting with a product in real time, with the ability to ask follow-up questions.
- Interactive Prototypes - test and get feedback on designs before development starts.
- Collaborative Note-Taking - team members observe and annotate sessions together in real time.
- Panel Recruitment - integrates with User Interviews' participant panel, citing a median one-hour match time across 6 million participants.
Pros:
- Live, moderated sessions capture context and follow-up reasoning that passive analytics cannot.
- Built-in panel recruitment removes a real bottleneck in traditional user research.
Cons:
- Pricing is billed annually with no monthly option below Enterprise, which is a real commitment for a team just evaluating it.
- Export functionality is restricted to paid plans, so trial users cannot take findings with them.
Best for: UX researchers who need moderated, live sessions with real recruited participants rather than passive behavioral data.
Pricing: Freelance is $299/year for 10 sessions. Team is $1,782/year for 100 sessions. Insights Hub is $4,122/year for 300 sessions. Enterprise is custom with unlimited sessions. A free trial includes 5 sessions over 60 days.
9. Mixpanel
Mixpanel tracks user actions rather than page views, giving product and UX teams a direct read on how people engage with specific features over time. It excels at funnel and retention analysis for teams measuring the effect of product changes.
Features:
- Event Tracking - tracks specific user actions within an app or website in detail.
- Funnel Analysis - identifies where users drop off on the way to completing a goal.
- Retention Analysis - measures how often users return, showing loyalty over time.
- Session Replay - included up to 10,000 replays a month on the free plan.
- Feature Flags - roll out and measure new features directly inside the platform.
Pros:
- The free plan is genuinely usable, with unlimited seats, 1 million events, and 10,000 session replays a month.
- Feature flags and experimentation live in the same product as the analytics measuring them.
Cons:
- It requires deliberate event instrumentation, unlike autocapture tools such as Heap.
- Enterprise pricing requires a sales conversation once volume passes the Growth plan's limits.
Best for: product teams that want funnel, retention, and feature-flag data together, with a free tier generous enough for real use.
Pricing: the Free plan covers 1 million events and 10,000 session replays a month with unlimited seats. Growth adds higher limits (20 million events, 500,000 session replays) with volume discounts. Enterprise is custom-priced.
10. Mouseflow
Mouseflow focuses on behavioral analytics through session replay, heatmaps, and detailed form analytics, aimed at UX/UI designers and website owners trying to pinpoint exactly where a page layout causes friction.
Features:
- Heatmaps - aggregate clicks, mouse movements, scrolls, and attention into visual maps.
- Conversion Funnels - visualizes the path through a site and where users abandon it.
- Form Analytics - identifies fields that cause confusion or abandonment.
- Feedback Campaigns - collects direct user feedback through customizable surveys.
Pros:
- Form analytics are unusually detailed compared to most heatmap-first competitors.
- A genuine free plan exists alongside four paid tiers, so evaluation does not require a sales call.
Cons:
- Data retention is capped by plan (1 month on Free, up to 12 months on Premium), which limits historical comparison on lower tiers.
- The free plan is capped at 500 sessions a month, thin for a live site with real traffic.
Best for: teams focused specifically on form abandonment and conversion-funnel friction, where its analytics go deeper than most heatmap tools.
Pricing: Free covers 500 sessions a month. Essential is $25/month (5,000 sessions). Advanced is $109/month (25,000 sessions). Premium is $319/month (100,000 sessions). Enterprise is custom. All paid plans include a 14-day money-back guarantee.
11. Crazy Egg
Crazy Egg bundles heatmaps, scroll maps, session recordings, and A/B testing into every plan at a lower price point than most competitors, aimed at website owners and marketers who want one tool covering the basics without an enterprise contract.
Features:
- Heatmaps - visualizes where users click, move, and scroll.
- Scroll Maps - shows the point at which users abandon a page.
- Confetti and Overlay Tools - breaks down clicks by referral source, search term, and page element.
- A/B Testing - tests page variations to determine which converts better.
Pros:
- Every plan, including the entry Starter tier, includes heatmaps, recordings, A/B testing, and error tracking together.
- A free trial is available on every plan before committing.
Cons:
- There is no permanent free tier, only a trial, unlike Hotjar or FullStory.
- Advanced segmentation is locked to the Pro and Enterprise tiers.
Best for: small businesses and marketers that want heatmaps, recordings, and A/B testing bundled at a lower entry price than most competitors.
Pricing: billed annually: Starter $29/month, Plus $99/month, Pro $249/month, Enterprise $599/month. Enterprise adds SAML SSO and custom plan options through sales.
12. FullStory
FullStory captures detailed session recordings and behavioral analytics automatically, with a distinguishing feature of detecting user frustration signals, rage clicks, dead clicks, and error clicks, that most competitors report as raw session data without flagging.
Features:
- Fullcapture - automatically records user interactions and errors without manual event tagging.
- Frustration Signal Detection - flags rage clicks, dead clicks, and error clicks automatically.
- Funnel Analysis and Segmentation - identifies drop-off points by user segment.
- StoryAI - AI-powered insight generation, available as an add-on.
Pros:
- The permanent free tier covers 30,000 sessions a month with 12 months of retention and no credit card required.
- Automatic frustration-signal detection surfaces problems a plain session recording would bury in raw footage.
Cons:
- Paid tiers require a sales conversation, so exact pricing above the free plan is not public.
- Mobile analytics is a separate add-on rather than included by default.
Best for: teams that want automatic frustration detection and a genuinely usable free tier before considering a paid analytics platform.
Pricing: the free tier covers 30,000 sessions a month with 12 months of retention. Business, Advanced, and Enterprise plans are priced through a demo request.
13. Optimizely
Optimizely is an experimentation platform rather than a pure analytics tool: it lets teams run A/B tests, multivariate tests, and personalization at scale, using behavioral data to validate changes before they ship to every user.
Features:
- A/B and Multivariate Testing - compares page or feature variations, including combined effects of multiple changes.
- Feature Flagging - rolls out new features to a subset of users to test impact before a full launch.
- Personalization - tailors digital experiences to individual user segments.
- Experimentation Program Management - tracks the progress of multiple experiments from one dashboard.
Pros:
- Feature flagging and experimentation live in one platform instead of requiring a separate feature-management tool.
- Enterprise-grade experimentation program management suits organizations running many concurrent tests.
Cons:
- No pricing is published anywhere; every plan is individually packaged after a sales conversation.
- It measures experiment outcomes, not raw UX behavior, so it needs a heatmap or session-replay tool alongside it.
Best for: enterprises running many concurrent experiments that need feature flagging and personalization in the same platform as A/B testing.
Pricing: custom; contact Optimizely for a quote. No published tiers exist.
14. VWO
VWO (Visual Website Optimizer) is a conversion rate optimization platform combining A/B testing, multivariate testing, and behavioral analytics. It positions itself as a full-stack CRO tool rather than a pure UX analytics product.
Features:
- Visual and Code Editor - builds test variations without engineering support for simple changes.
- Multivariate and Split URL Testing - tests multiple variables or entirely separate page versions.
- Heatmaps and Session Recordings - qualitative behavioral data alongside experiment results.
- Wandz Core AI - AI-assisted targeting and test-idea generation.
Pros:
- Combines heatmaps and session recordings with A/B testing in one platform, unlike Optimizely, which needs a separate analytics tool.
- A free "Explore for Free" tier is available for evaluation.
Cons:
- No dollar pricing is published for any tier; budgeting requires talking to sales.
- Multivariate testing and advanced targeting are gated to the Pro tier and above.
Best for: conversion-focused teams that want heatmaps and session data feeding directly into A/B and multivariate tests.
Pricing: Growth, Pro, and Enterprise tiers, none with published dollar figures; contact VWO for a quote. A free exploration tier is available.
15. UserTesting
UserTesting connects teams to a global panel of real users for video-first feedback on websites, apps, and prototypes, complementing passive analytics with direct, narrated user reactions.
Features:
- Unmoderated and Moderated Testing - surveys, interaction tests, and live conversations depending on depth needed.
- Global Participant Panel - reaches testers across 60+ countries with demographic filters.
- Sentiment Analysis and Transcripts - AI-generated summaries of session recordings.
- Actionable Insight Prioritization - ranks issues by frequency, severity, and impact.
Pros:
- The vendor states most sessions complete within hours, faster than recruiting testers manually.
- A free single test is available before any subscription commitment.
Cons:
- Pricing is fully custom, so cost estimation requires a sales conversation.
- It answers why a problem happens through narrated feedback, not how often it happens across the full user base.
Best for: teams that want narrated, external human feedback to explain a problem analytics has already flagged at scale.
Pricing: custom, varying by user count, plan type, and features. A free test is available immediately, with trial access to the full platform available before an annual commitment.
16. Lucky Orange
Lucky Orange bundles session recordings, heatmaps, conversion funnels, surveys, and live chat into every plan, positioned as a budget-friendly alternative for teams that want the core qualitative toolkit without an enterprise price tag.
Features:
- Real-Time Visitor Data - shows who is on the site right now, their location, and pages viewed.
- Session Recordings - reviews individual user sessions to identify usability issues.
- Discovery AI - AI-assisted analysis of sessions and behavior patterns, included at every tier.
- Form Analytics and Surveys - identifies drop-off fields and collects direct visitor feedback.
Pros:
- Discovery AI and all core features are available on every plan, including the entry tier, rather than gated to Enterprise.
- A 7-day free trial includes full feature access.
Cons:
- There is no permanent free plan, only a 7-day trial.
- Session-volume tiers scale quickly in price once a site passes moderate traffic.
Best for: smaller teams that want the full session-recording and heatmap toolkit, including AI analysis, without an enterprise contract.
Pricing: billed annually: Build $32/month (3,500 sessions), Grow $72/month (10,000 sessions), Expand $199/month (50,000 sessions), Scale $839/month (300,000 sessions), Enterprise custom (700,000+ sessions). A 7-day free trial includes Discovery AI.
17. Clicky
Clicky positions itself as a privacy-friendly, real-time analytics alternative to Google Analytics, with no tracking cookies or personal data collection by default, alongside heatmaps and uptime monitoring.
Features:
- Real-Time Visitor Logs - see every visitor, page view, and JavaScript event as it happens.
- Spy Feature - watch live sessions to understand navigation patterns.
- Heatmaps - available on Pro Plus and higher tiers.
- Uptime Monitoring - alerts when a site goes offline, monitored from multiple global locations.
Pros:
- Privacy-friendly by default, no cookie banners required, which simplifies GDPR compliance.
- Paid tiers start under $10/month, among the lowest entry prices on this list.
Cons:
- The free plan caps at 3,000 daily page views on a single site, thin for a growing business.
- Heatmaps require Pro Plus or higher, not included on the base Pro tier.
Best for: privacy-conscious teams that want real-time visitor tracking without cookies, at a lower price than most competitors.
Pricing: Free covers 1 site and 3,000 daily page views. Pro is $9.99/month ($79.99/year). Pro Plus is $14.99/month ($119.99/year), adding heatmaps. Pro Platinum is $19.99/month ($159.99/year). A Custom tier scales to 1,000 sites and 20 million daily page views. New accounts get a 21-day free trial of the full premium tier.
18. Heap
Heap automatically captures every user interaction without requiring manual event tagging, which means teams can query historical behavior for events they never explicitly set up to track. That autocapture model is its main differentiator from Mixpanel and Amplitude.
Features:
- Automatic Event Tracking - captures every interaction retroactively, eliminating manual tagging.
- Session Replay - available as an add-on on Pro and higher tiers.
- Sense AI Assistant - AI-powered analysis and insight generation, included from the Growth tier.
- Unlimited Enrichment Sources - included even on the free tier.
Pros:
- Autocapture means a team can analyze an event they forgot to track ahead of time, which structured event tools cannot do.
- The free tier includes unlimited enrichment sources and 6 months of data history.
Cons:
- Session replay is an add-on rather than included, unlike Mixpanel where it ships on the free plan.
- Growth, Pro, and Premier tiers are all custom-priced with no published dollar figures.
Best for: teams that want to analyze user behavior retroactively without having pre-defined every event to track.
Pricing: Free covers up to 10,000 monthly sessions with 6 months of data history. Growth, Pro, and Premier are all custom-priced; sign up for an estimate.
19. Inspectlet
Inspectlet records full video sessions of user activity alongside heatmaps and form analytics, positioned as an accessible entry point into session replay with a genuinely free tier and a client list that includes Shopify, eBay, and Salesforce.
Features:
- Session Replay - video playback of visitor interactions from start to finish.
- Dynamic Heatmaps - click, scroll, and attention maps across pages.
- Form Analytics - tracks how users interact with forms on a site.
- AI-Powered Insights - rage-click detection, error flagging, and conversion drop-off alerts.
Pros:
- The free plan covers 2,500 recorded sessions a month across up to 3 sites, with no credit card required and no time limit.
- Minimal setup, a few lines of JavaScript start producing data immediately.
Cons:
- Paid tier dollar amounts are not published on the current pricing page and require checking directly before budgeting.
- It lacks the product-event and funnel depth of Mixpanel or Amplitude.
With all the tools above, user experience and engagement carry real weight, and validating the functionality and appearance of your application matters just as much as measuring it. To ensure a better result, it also helps to perform UX testing to check that your software works and looks right for the users interacting with it.
Best for: teams that want a real free tier for session replay and heatmaps before evaluating a paid platform.
Pricing: Free covers 2,500 sessions a month across up to 3 websites. Paid tiers add more sessions, sites, and 24-month storage on Enterprise; check the vendor's current pricing page for exact figures.
Which UX Analytics Tools Are Free?
Twelve of the 19 tools above offer a genuine free tier with no time limit, though the usage caps vary from a few thousand sessions to millions of events a month. Enterprise-focused platforms like Adobe Analytics, Optimizely, VWO, and UserTesting are custom-priced with no published free plan, only a trial or demo.
- Google Analytics - free for standard GA4 use, with no published event cap for most sites.
- Amplitude - 2 million events a month, forever, no credit card required.
- Mixpanel - 1 million events and 10,000 session replays a month with unlimited seats.
- Kissmetrics - 100,000 events a month with autocapture and core reports.
- FullStory - 30,000 sessions a month with 12 months of retention.
- Mouseflow - 500 sessions a month with 1 month of data retention.
- Heap - 10,000 sessions a month with 6 months of data history.
- Inspectlet - 2,500 sessions a month across up to 3 sites.
- Clicky - 1 site and 3,000 daily page views, no time limit.
- Crazy Egg - a free plan below the paid tiers, covering web analytics, instant heatmaps, conversion analytics, and website surveys, with no credit card required.
- Hotjar and Contentsquare - one shared free plan covering 200,000 monthly sessions on a single project, since Hotjar pricing now runs through Contentsquare.
A free tier is a real starting point for a small site or a single project, but every one of the caps above will be reached quickly by a growing product. Budget for the jump to a paid tier before the free plan's limits become a surprise mid-month.
How We Evaluated These UX Analytics Tools
UX analytics spans three genuinely different categories, quantitative platforms, qualitative session tools, and user research, so no single feature checklist fits all 19. Each tool above was assessed against the criteria below, and the pros, cons, and best-for calls in every entry come from that assessment. Feature claims come from each vendor's own product and pricing pages, verified live as of September 2026.
- Category fit - whether the tool reports numbers, shows behavior visually, or brings in direct user feedback, and how clearly that maps to a real UX question.
- Depth versus setup cost - autocapture tools trade configuration time for less precise event definitions; structured tools trade setup time for cleaner data.
- Pricing transparency - whether current pricing is public or requires a sales conversation, verified directly against each vendor's site rather than third-party aggregators.
- Current ownership - active development, and whether an acquisition changed pricing or positioning (Hotjar into Contentsquare is the clearest example on this list).
- Mobile and cross-platform support - whether the tool covers native mobile apps or is web-only.
One caveat worth stating plainly: the list is ordered by category rather than as a ranking, so weigh each entry against the specific question you are trying to answer rather than treating position one as a universal verdict.
How to Choose the Right UX Analytics Tool
Choose a UX analytics tool by matching it to the question you are actually trying to answer: what is happening at scale, why it is happening for specific users, or whether a proposed fix actually helps. The table below maps common situations to a starting point.
| Your situation | Start with | Why |
|---|---|---|
| You have no analytics at all yet | Google Analytics | Free, comprehensive traffic and conversion data as a foundation before adding qualitative tools. |
| You need to see exactly where users struggle | Hotjar or FullStory | Heatmaps and session recordings show behavior directly instead of inferring it from numbers. |
| You need to track feature adoption over time | Mixpanel or Amplitude | Both specialize in event tracking, funnels, and retention analysis with a genuinely usable free tier. |
| You are building a native mobile app | UXCam | Purpose-built for mobile session replay and heatmaps, where web-first tools are weak. |
| You need external, narrated user feedback | UserTesting or Lookback | Both connect to real recruited participants for moderated or unmoderated sessions. |
| You want to validate a redesign before full rollout | Optimizely or VWO | Both run A/B and multivariate tests to confirm a change helps before it reaches every user. |
| You want to analyze events you didn't plan for in advance | Heap | Autocapture records every interaction retroactively, so nothing needs pre-defined tracking. |
| You need enterprise-scale analytics with AI-driven insights | Adobe Analytics or Contentsquare | Both combine quantitative and qualitative data with automated anomaly and friction detection at scale. |
| Budget is the primary constraint | Clicky or Crazy Egg | Both offer paid tiers under $30/month with core heatmap or real-time analytics included. |
Whatever you shortlist, pair at least one quantitative tool with one qualitative tool before drawing conclusions. Numbers alone cannot explain a drop in conversion, and a heatmap alone cannot tell you how big the problem is across your full user base.
Conclusion
Start with the question you need answered: aggregate traffic and conversion data point to Google Analytics or Mixpanel, direct behavioral evidence points to Hotjar or FullStory, and narrated human feedback points to UserTesting or Lookback. Most real UX programs end up running one tool from at least two of those categories.
Once analytics tells you where users struggle, TestMu AI's Real-Time Testing lets you reproduce and verify that exact issue across 10,000+ real browser and device configurations before shipping a fix, and SmartUI catches the visual regressions a heatmap alone would only hint at. See the Real-Time Testing documentation to get started.
Author
Himanshu Sheth is the Director of Marketing (Technical Content) at TestMu AI, with over 8 years of hands-on experience in Selenium, Cypress, and other test automation frameworks. He has authored more than 130 technical blogs for TestMu AI, covering software testing, automation strategy, and CI/CD. At TestMu AI, he leads the technical content efforts across blogs, YouTube, and social media, while closely collaborating with contributors to enhance content quality and product feedback loops. He has done his graduation with a B.E. in Computer Engineering from Mumbai University. Before TestMu AI, Himanshu led engineering teams in embedded software domains at companies like Samsung Research, Motorola, and NXP Semiconductors. He is a core member of DZone and has been a speaker at several unconferences focused on technical writing and software quality.
Reviewer
Sri Harsha is Engineering Manager of the Open Source Program Office at TestMu AI (formerly LambdaTest), where he leads open-source engineering behind the Selenium and Appium automation grid and builds agentic AI systems for quality engineering. He is a member of the Selenium Technical Leadership Committee and a committer to WebdriverIO and Appium, and was recognized with the LambdaTest Delta Award 2023 for Best Contributor in open-source testing. He brings over 10 years of experience in software testing and automation, with earlier roles at EPAM Systems and ZenQ. Sri Harsha holds a B.Tech in Computer Science from Jawaharlal Nehru Technological University.
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