Amplitude vs FullStory

Detailed side-by-side comparison

Amplitude

Amplitude

Free

Amplitude is a comprehensive product analytics platform focused on understanding user behavior through advanced behavioral analytics, experimentation, and predictive insights. It excels at cohort analysis, funnel optimization, and cross-platform user journey tracking to drive data-driven product decisions.

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FullStory

FullStory

Free

FullStory is a digital experience analytics platform that captures pixel-perfect session replays of every user interaction on websites and mobile apps. It combines session replay technology with analytics features like heatmaps, funnel analysis, and frustration signals to help teams identify and resolve UX issues quickly.

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Feature Comparison

FeatureAmplitudeFullStory
User Behavior AnalysisFocuses on aggregate behavioral analytics with cohort analysis, user segmentation, and behavioral patterns across user groupsEmphasizes individual session replay with pixel-perfect playback of every user interaction, allowing teams to watch exactly what users experienced
Funnel AnalysisProvides detailed funnel and retention analysis with the ability to track conversion paths and identify drop-off points across user segmentsOffers funnel and conversion analysis combined with session replay, allowing you to watch sessions of users who dropped off at specific funnel stages
Search and DiscoveryUses custom dashboards and filters to segment users and analyze behavioral patterns across cohortsFeatures OmniSearch, an advanced search capability that lets you quickly find specific user sessions based on actions, errors, or attributes
Issue DetectionIdentifies trends and patterns through predictive analytics and anomaly detection in user behavior metricsAutomatically detects frustration signals, errors, and rage clicks, alerting teams to UX problems and technical issues as they occur
ExperimentationIncludes built-in A/B testing and experimentation platform for testing product changes and measuring their impact on user behaviorDoes not have native A/B testing capabilities, but integrates with experimentation tools and can analyze experiment results through session replay
VisualizationProvides customizable dashboards with charts, graphs, and data visualizations for aggregate metrics and trendsOffers heatmaps, click maps, and visual representations of user interactions overlaid on actual pages, plus traditional analytics charts

Pricing Comparison

Both tools offer free starter plans and scale pricing based on usage, but can become expensive at higher data volumes. FullStory tends to be more premium-priced due to its intensive session replay capture technology, while Amplitude's cost scales with event volume and may be more predictable for pure analytics use cases.

Verdict

Choose Amplitude if...

Choose Amplitude if you need comprehensive product analytics with a focus on behavioral cohorts, experimentation, and predictive insights to drive strategic product decisions. It's ideal for product teams prioritizing aggregate user behavior analysis and data-driven growth strategies.

Choose FullStory if...

Choose FullStory if you need to see exactly what users experience through session replay and want to quickly identify and debug specific UX issues or customer problems. It's perfect for teams that need to troubleshoot user complaints, optimize customer experience, and support debugging efforts with visual evidence.

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Analytics

Pros & Cons

Amplitude

Pros

  • + Intuitive interface that's accessible to non-technical users
  • + Powerful behavioral analytics with deep user insights
  • + Excellent data visualization and customizable dashboards
  • + Strong integrations with major marketing and product tools

Cons

  • - Steep learning curve for advanced features
  • - Can become expensive as data volume scales
  • - Initial implementation and setup requires technical resources

FullStory

Pros

  • + Powerful session replay capabilities that capture every user interaction automatically
  • + Intuitive search functionality makes it easy to find specific user sessions and behaviors
  • + Excellent for identifying UX issues and debugging customer problems
  • + Strong privacy controls and data governance features

Cons

  • - Premium pricing can be expensive for smaller companies or startups
  • - Large data capture can impact page load times if not optimized
  • - Steep learning curve to fully leverage advanced features