Fullstory
AIBehavioral data platform that records user sessions and surfaces sentiment and insights to improve product experience.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
Fullstory
AI
Behavioral data platform that records user sessions and surfaces sentiment and insights to improve product experience.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
About Fullstory
FullStory is a behavioral data and digital experience intelligence platform that captures user interactions on websites and native mobile apps to help teams understand user sentiment and behavior. It records session replays (clicks, scrolls, inputs, navigation), captures custom events and user attributes, and exposes APIs and SDKs for web, server, and mobile instrumentation. FullStory provides searchable sessions and segmentation, integrations for exporting and analyzing data in warehouses, and developer tools and middleware for SPA and analytics platform integration. Its value lies in enabling product, engineering, and support teams to reproduce issues, optimize flows, and make data-driven UX improvements by combining replayable behavioral data with event-driven analytics.
Key Features
Session Replay: Continuously records user sessions (clicks, scrolls, page transitions, input) into replayable, timestamped videos with direct links to review exact user interactions for debugging and UX analysis.
Behavioral Event Capture: Captures rich event streams and structured custom events with properties and schemas, enabling teams to track actions, attributes, and conversion steps across web and mobile.
SDKs & APIs: Provides official Browser, NodeJS, and mobile SDKs plus HTTP/server APIs for initializing capture, tracking custom events, creating users/events, and programmatic access to session and segment data.
Searchable Segments & Event Querying: Lets users search and filter sessions by custom event properties, user attributes, and behavior to build segments of users who experienced specific flows or issues.
Warehouse & Data Integration: Offers tooling and packages (including an official dbt package and export utilities) to move FullStory events into data warehouses and integrate behavioral data into BI workflows.
Privacy Controls & Data Governance: Includes privacy and masking controls, allowlists/deny-lists, and per-session privacy settings to protect sensitive user data while still collecting actionable behavioral signals.
Developer Tooling & Middleware: Supplies middleware (e.g., Segment middleware), SPA-friendly browser SDKs, and client/server libraries to simplify integration into single-page apps, mobile apps, and analytics stacks.
Session replay capturing full user interactions (clicks, scrolls, inputs) for playback
Custom event tracking with schema overrides and searchable events
Browser SDK (@fullstory/browser) with init() and FullStory global/API (FS) usage
Server-side NodeJS SDK for server-to-server HTTP API calls (users, events, batch import jobs)
Mobile SDKs and mobile-specific APIs (iOS, Android, React Native)
HTTP APIs and developer documentation for capturing data, retrieving sessions, and managing privacy
Integrations and middleware (e.g., Segment middleware for Android) to forward events and embed replay links
Data export and warehouse integrations (Anywhere: Warehouse) and a dbt package for downstream analytics
Real-time activation integrations (Anywhere: Activation) for driving experiences
Privacy controls and mobile-only methods (setting/removing attributes, resetting idle timer, class management)
Use Cases
Bug reproduction and triage: Engineers and QA replay exact user sessions to reproduce errors, observe the sequence of actions leading to a bug, and correlate with console or custom event data.
Conversion funnel optimization: Product teams identify where users drop off in multi-step flows by filtering sessions and events, then iterating on UX changes informed by real behavior.
Product research and UX validation: Researchers observe real user interactions and sentiment patterns to validate hypotheses, discover friction points, and prioritize features or design changes.
Analytics enrichment and BI: Data teams export FullStory events to warehouses using the dbt package and export utilities to join behavioral data with product and transactional datasets for deeper analysis.
SPA and mobile instrumentation: Developers integrate the FullStory Browser SDK or mobile SDKs (and Segment middleware) to ensure accurate session capture in single-page apps and native mobile applications.
Customer support augmentation: Support teams attach session replay links to tickets, quickly see what a user experienced, and provide faster, more context-aware resolutions.
Feature rollout monitoring: Product and engineering monitor adoption and unexpected behaviors after releases by tracking custom events and segmenting affected sessions or cohorts.
Product analytics and feature usage measurement via custom events and properties
UX research and usability testing using session replay to reproduce user flows and issues
Customer support and troubleshooting by locating sessions that match search criteria and viewing replays
Conversion funnel analysis by correlating events and session behaviors
Data engineering and analytics: exporting FullStory events to data warehouses and modeling with dbt
Real-time personalization and activation by integrating FullStory session context into downstream systems
Server-to-server automation for user and event management using the NodeJS SDK and HTTP APIs
Screenshots
+
+
+
+
