7 Best FullStory Alternatives in 2026

FullStory is a powerful digital experience platform, but one issue often frustrates users: its pricing is not transparent.

There is no public pricing page or clear starting cost. You have to contact sales, book a demo, and wait for a custom quote based on your usage and feature needs. If you only want to understand why users drop off or rage click, this process can feel too complex and time-consuming.

At the same time, FullStory offers strong features for enterprise-level needs. You get detailed session replay, automatic event tracking, and AI-powered insights. If you have the budget and resources, it can deliver deep behavioral data.

However, you may not need an enterprise-level solution. You might prefer clear pricing, stronger developer tools, open-source control, or simply a free option that works.

This guide highlights seven strong FullStory alternatives in 2026, including what each tool does well, its limits, and its pricing.

7 best FullStory alternatives in 2026

1. PostHog

PostHog is an open-source, all-in-one product analytics platform built for engineering-led teams. It combines product analytics, session replay, feature flags, A/B experiments, surveys, and error tracking in a single self-hostable or cloud-managed stack. Session replay connects directly to product analytics data so teams can watch the sessions behind a funnel drop-off, a retention dip, or a feature flag experiment result, without switching tools. PostHog's pricing philosophy is explicitly developer-first: generous free tiers, usage-based billing with per-product caps, and a public commitment to cutting prices regularly.

🌟 Key features

• Session replay with network activity, console logs, and DOM events captured alongside the recording
• Product analytics including funnels, retention, user paths, and cohort analysis
• Feature flags and A/B experiments integrated directly with analytics data
• Surveys and in-app feedback collection
• Error tracking for JavaScript exceptions
• Mobile session replay for iOS, Android, React Native, and Flutter, with a free tier of 2,500 mobile recordings/month
• OpenTelemetry-compatible event ingestion for teams with existing observability stacks
• Self-hostable via Docker Compose under an MIT license for full data ownership
• LLM analytics for teams building AI-powered products

➕ Pros

• Free tier covers 5,000 web session recordings per month plus 1M product analytics events, making it genuinely useful before any spend
• All products are billed separately so teams only pay for what they actually use
• The combination of session replay, feature flags, and A/B experiments in one platform is rare at this price point
• Open-source codebase means no vendor lock-in risk and the option to self-host for data sovereignty
• Pricing transparency is exceptional: rates are published and the team actively cuts them

➖ Cons

• Usage-based pricing across 10+ products can be difficult to estimate without careful volume modeling
• Self-hosting is suited for lower-traffic deployments (up to roughly 100K events/month via Docker Compose); production-scale self-hosting requires significant infrastructure effort with no guaranteed support
• UI is more developer-oriented and can feel dense for non-technical product or marketing team members
• Recording retention is capped at 3 months on paid cloud plans, which limits long-term behavioral comparisons

💲 Pricing

PostHog's free tier includes 5,000 web session recordings/month, 2,500 mobile recordings/month, 1M product analytics events/month, 1M feature flag requests/month, and 1,500 survey responses/month, all resetting monthly. Beyond the free tier, web session replay starts at $0.005 per recording (5-15k range), with step-down pricing at higher volumes ($0.0035 for 15-50k, $0.0020 for 50-150k). Product analytics events start at $0.00005 per event after the free million. A billing cap can be set per product to prevent overages. PostHog is free to self-host under the MIT license for smaller deployments.

2. LogRocket

LogRocket combines session replay with error tracking, frontend performance monitoring, and product analytics in a single platform. It serves both engineering and product/UX teams from the same data, giving engineers the console logs, network activity, and JavaScript errors alongside the session replay so they can reproduce bugs without asking the user to describe what happened. The Galileo AI agent summarizes sessions, prioritizes issues by business impact, and surfaces the most important friction points automatically.

🌟 Key features

• Pixel-perfect session replay with console logs, network requests, and Redux state visible alongside the recording
• Galileo AI for automated session summarization and issue prioritization by user impact
• Rage click, dead click, and UI delay detection surfaced automatically
• 50+ filter dimensions for searching sessions by user attributes, errors, performance thresholds, and custom properties
• Product analytics including funnels, user paths, and retention charts
• AI Error Tracking that groups errors and correlates them with session impact
• Heatmaps, scroll maps, and clickmaps at the page level
• Integrations with Jira, Intercom, Datadog, Optimizely, and Google Analytics
• Mobile SDK support for iOS and Android

➕ Pros

• Session replay with full developer context eliminates the need to reproduce bugs from user descriptions alone
• Galileo AI reduces time spent manually reviewing sessions to find relevant friction
• Transparent pricing with a public free tier and published starting rates
• Covers both engineering debugging and product analytics in one platform
• Mobile replay is genuinely capable alongside the web version

➖ Cons

• Session-based pricing scales quickly for high-traffic consumer applications
• Separate pricing tiers for web and mobile can add cost for teams tracking both platforms
• RUM and backend APM correlation is limited to integrations rather than native instrumentation
• Less suitable as a standalone behavioral analytics tool for marketing teams with no engineering involvement

💲 Pricing

LogRocket's Developer (free) plan includes 1,000 sessions/month with one-month data retention, limited to three users. The Team plan starts at $99/month (web) for 10,000 sessions/month. The Professional plan starts at $295/month (web, annual commitment) and adds AI-powered struggle detection, detailed product analytics, heatmaps, scrollmaps, and clickmaps. Mobile plans are priced separately and higher than web equivalents. Enterprise plans include custom session volume and data retention. A 14-day free trial is available for all paid tiers.

3. Hotjar (now part of Contentsquare)

Hotjar is one of the most widely used behavioral analytics tools for websites, combining session recordings, heatmaps, and user feedback tools in a single platform. In July 2025, Hotjar formally merged into the Contentsquare Group, and existing customers are being migrated to the Contentsquare platform through 2025. The platform serves marketing and UX teams primarily, with an emphasis on understanding where users click, how far they scroll, and what feedback they give through in-product surveys. Setup is fast: adding a snippet to the site's header starts recording sessions and capturing heatmaps immediately.

🌟 Key features

• Session recordings with rage click, dead click, and scroll depth detection
• Click maps, scroll maps, and move maps with aggregate heatmap overlays
• In-product surveys and feedback widgets via the Ask product
• User interview recruitment and scheduling via Engage
• Funnel analysis to track conversion drop-off across key flows
• Google Analytics integration for combining behavioral and traffic data
• AI-generated highlights and insights surfaced from session clusters
• Unlimited user seats on all plans

➕ Pros

• Unlimited seats on all plans makes it practical for cross-functional teams without per-user billing anxiety
• Heatmaps and session recordings require no additional configuration beyond the initial snippet
• Feedback widgets and surveys are genuinely useful complements to session replay for understanding the "why"
• The free tier is generous for low-traffic sites with basic analytics needs

➖ Cons

• Observe, Ask, and Engage are priced separately, meaning teams that want all three tools pay multiple subscriptions
• No native mobile app analytics; the tools cover web only
• Product analytics depth is limited compared to PostHog or Heap for engineering-led teams
• The ongoing Hotjar-to-Contentsquare migration has created pricing confusion, with legacy plans and new Contentsquare plans coexisting during the transition

💲 Pricing

The Contentsquare free plan covers 200,000 sessions/month with core session replay, heatmaps, and basic funnels (updated December 2025). The Contentsquare Growth plan starts at $40/month (billed annually) and adds advanced filtering, 13 months of data access, zone-based heatmaps, journey analysis, AI-powered Sense insights, and Impact Quantification. Customers still on legacy Hotjar plans can expect migration to the new Contentsquare platform during 2025. Pro and Enterprise plans are custom-quoted.

4. Microsoft Clarity

Microsoft Clarity is a completely free behavioral analytics tool from Microsoft that offers unlimited session recordings and heatmaps with no session caps, no credit card, and no paid tier required. It covers clicks, scrolls, rage clicks, dead clicks, and back-and-forth navigation signals, and integrates directly with Google Analytics and Google Ads to connect behavioral data with traffic and campaign performance. Clarity Copilot uses AI to summarize up to 250 session recordings at once and generate insights, making it practical for teams that cannot manually review large volumes of sessions. Mobile support covers iOS, Android, Flutter, and React Native.

🌟 Key features

• Unlimited session recordings with no cap on traffic volume
• Click heatmaps, scroll heatmaps, and area heatmaps
• Clarity Copilot for AI-generated session summaries and behavior trend insights
• Rage click and dead click detection with automatic flagging
• Funnel analysis and user segment filtering by device, geography, and referral source
• Google Analytics and Google Ads integration for connecting behavioral data with traffic metrics
• Mobile SDK support for iOS, Android, Flutter, and React Native
• 30-day recording retention (with favorited sessions retained up to 13 months)
• GDPR-compliant with automatic PII masking and IP anonymization

➕ Pros

• Completely free with no session limits makes it the most accessible tool in this category
• AI session summaries reduce the time required to extract insights from high-volume recording data
• Mobile app support is broader than many competitors at this price point (which is zero)
• Google Analytics integration is straightforward and connects behavioral data with traffic sources

➖ Cons

• 30-day recording retention limits use for longer-term behavioral analysis and seasonal comparisons
• No surveys, feedback widgets, or user interview capabilities
• Product analytics depth is limited; no advanced funnel analysis, retention cohorts, or user path tracking
• Data is stored on Microsoft's servers, which may be a compliance concern for teams in regulated industries
• Less suitable as a standalone tool for SaaS product teams who need deeper quantitative analytics

💲 Pricing

Microsoft Clarity is free forever with no session limits, no paid tiers, and no credit card required. There are no hidden costs or usage-based charges.

5. Smartlook

Smartlook is a qualitative analytics platform that covers session recordings, heatmaps, event tracking, and funnel analysis across both web and native mobile apps. It is now part of Cisco following an acquisition. Unlike most session replay tools, Smartlook records all user sessions automatically from the moment the snippet is installed, with no manual configuration required to start capturing heatmaps or defining events. Events can be defined retroactively using a no-code picker or JavaScript, and funnels are available even on the free plan.

🌟 Key features

• Always-on session recording covering 100% of user sessions without sampling
• Retroactive event creation: define an event today and Smartlook surfaces all historical occurrences
• No-code event picker for defining click, input, and navigation events without developer help
• Heatmaps, scroll maps, and clickmaps generated directly from session recording data
• Funnel analysis with step-level breakdowns by device, country, and browser
• Cross-platform Journey tracking for users who move between mobile app and web
• Native mobile SDKs for iOS, Android, React Native, Flutter, Unity, and others
• Integrations with Mixpanel, Zendesk, Slack, Salesforce, and Jira
• Crash reports linked directly to affected session recordings

➕ Pros

• Web and mobile coverage in a single platform is a differentiator for teams with cross-platform products
• Retroactive event analysis means teams never miss data from before a feature was instrumented
• No-code event picker reduces engineering dependency for day-to-day analytics work
• Transparent pricing with a free plan and published starting rates
• Funnel and heatmap features available on the free plan

➖ Cons

• Session-based pricing scales quickly beyond the free tier for high-traffic applications
• Product analytics depth is narrower than PostHog or Heap for teams who need retention cohorts, A/B experiments, or feature flags
• No built-in surveys, feedback widgets, or user interview capabilities
• Data retention on lower tiers is limited to two months, which constrains longitudinal analysis

💲 Pricing

Smartlook's free plan covers 3,000 sessions/month with heatmaps, events, and funnels included. The Pro plan starts at $55/month (billed annually) for 5,000 sessions/month, with session volume customizable beyond that. The Enterprise plan covers high-volume use cases and is custom-quoted. A 30-day free trial of the Pro plan is available with no credit card required.

6. OpenReplay

OpenReplay is an open-source session replay and product analytics platform purpose-built for teams that need full data ownership. It can be self-hosted on your own cloud infrastructure at no licensing cost, or deployed as a dedicated managed instance. It includes session replay, product analytics, DevTools for debugging (network activity, console logs, Redux state, performance metrics), and co-browsing for live support sessions with users. OpenReplay is SOC 2 Type 2 and GDPR certified for both cloud and self-hosted deployments.

🌟 Key features

• Pixel-accurate session replay with full DevTools context (network, console, JS errors, store state)
• Co-browsing (Assist): step into a live user session via WebRTC for real-time support without third-party screen sharing
• Product analytics with funnels, heatmaps, user journeys, and trend charts
• Self-hostable with no per-session licensing cost and complete data ownership
• Feature flags for controlled rollouts and A/B testing
• Integrations with Sentry, Datadog, Elastic, CloudWatch, Stackdriver, and Slack
• Omni-search for filtering sessions by any user action, technical event, or session attribute
• Mobile SDK support for iOS and Android
• SOC 2 Type 2 and GDPR certified

➕ Pros

• Full data ownership via self-hosting is the clearest differentiator for regulated industries and privacy-sensitive teams
• Co-browsing for live user support is a capability that most session replay tools do not include
• DevTools integration rivals LogRocket in engineering debugging depth
• No per-session pricing on self-hosted deployments eliminates the scaling cost that affects session-based SaaS tools
• All features are available on all plans, including the self-hosted free tier

➖ Cons

• Self-hosting requires operating your own infrastructure (minimum 4 vCPU, 16GB RAM), which adds engineering overhead
• Less well-known than FullStory or LogRocket, which can make internal tool approvals harder in enterprise environments
• Product analytics breadth is narrower than PostHog or Heap for teams that need advanced experimentation and retention analysis
• Mobile session replay is newer and less mature than the web version

💲 Pricing

OpenReplay is free and open source for self-hosted deployments, with no per-session licensing cost. The Serverless cloud plan starts with a free tier of 1,000 sessions/month, then charges $5.95 per 1,000 sessions on a pay-as-you-go basis. Dedicated cloud instances are available starting at $200/month (O1, up to 50,000 sessions/month), $400/month (O2, up to 200,000 sessions/month), and $800/month (O3, up to 500,000 sessions/month) with no limits on recording conditions and custom data retention.

7. Heap

Heap is a product analytics platform built around autocapture technology: install the snippet once and Heap automatically captures every user interaction, page view, click, and form submission without any manual event instrumentation. Because all interactions are captured retroactively, product teams can define events and build funnels on data that was collected before anyone decided to track it. Session replay and heatmaps are available as add-ons on paid plans. Heap was acquired by Contentsquare in 2023 and continues to operate as a standalone product, with Contentsquare's AI capabilities available on higher tiers.

🌟 Key features

• Autocapture of all user interactions from the moment the snippet is installed, with no manual event tagging required
• Retroactive event definition: define any event today and instantly see its historical occurrence data
• Session replay as an add-on for visual context alongside quantitative analytics
• Funnel analysis, path analysis, retention cohorts, and user journey visualization
• Heatmaps and clickmaps for page-level engagement analysis
• Data science layer that automatically surfaces insights and friction patterns from captured data
• Account-based analysis for B2B SaaS teams tracking company-level behavior
• Data warehouse sync and 100+ integrations including Salesforce, Snowflake, and HubSpot

➕ Pros

• Autocapture eliminates the "missing events" problem that affects manual instrumentation tools; historical data is available for any event defined later
• Retroactive analysis means product teams can answer questions about past behavior without waiting for future data collection
• Tight integration between session replay and product analytics enables one-click access from a funnel drop-off to the relevant recordings
• Data science insights surface hidden friction patterns that manual analysis would miss

➖ Cons

• Pricing is not transparent: paid plans require a sales conversation and start at approximately $3,600/year for Growth, with Pro plans reported at $24,000+/year and up
• Session replay is an add-on, not included in base plans, which adds cost for teams that want qualitative and quantitative data together
• High-traffic consumer apps can face steep cost increases as session volume grows
• Less suitable for teams that need built-in feature flags, A/B experiments, or mobile session replay without additional tooling

💲 Pricing

Heap's free plan covers 10,000 sessions/month with autocapture, one project, and standard analytics. The Growth plan starts at $3,600/year (approximately $300/month) with custom session limits. Pro plans are custom-quoted and reported at approximately $24,000+/year for larger session volumes. Session Replay is a paid add-on on Pro and Premier plans with custom pricing. A free trial is available without a credit card.

Final thoughts

Choosing a FullStory alternative really comes down to what your team values most in a product analytics platform.

If you want an all-in-one solution that combines session replay with feature flags, A/B testing, and product analytics under transparent, developer-friendly pricing, PostHog is the strongest all-in-one choice. It works especially well for teams that prefer to run experiments and analyze behavior in the same place rather than stitching together multiple tools.

Not every team is optimizing for breadth, though.

If your priority is deep behavioral analysis with the flexibility to define events retroactively, particularly in a complex B2B SaaS environment, Heap delivers the strongest retroactive event analysis on this list. Its automatic event capture allows you to ask new questions about user behavior without having to anticipate every tracking need in advance.

So what matters more to your team: consolidating tools into a single platform, or maximizing analytical flexibility after the data has already been collected?

There is no universal best choice. The right decision depends entirely on how your team builds, experiments, and learns.

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