Fullstory
Intelligent digital experiences. Powered by human context.·fullstory.com
Fullstory is a behavioral data platform that automatically captures and organizes digital user interactions across web and mobile apps to help teams understand user behavior. Its patented autocapture (Fullcapture) technology creates a complete, structured dataset of every interaction without manual tagging, powering product analytics, session replay, heatmaps, funnels, and journey mapping. StoryAI, a system of AI agents, analyzes this behavioral dataset to surface insights and predict user behavior. The platform also extends to internal software via Fullstory Workforce and to external systems via Fullstory Anywhere for data warehousing and real-time activation.
What it's for
Features 21
- Co-Browsing
- Consent API
- Conversion Funnels
- Customer Journey Mapping
- Data Export
- Fullcapture autocapture of all user interactions
- Guides and Surveys for in-app guidance and NPS feedback
- Heatmaps
- Mobile App Analytics
- Omnisearch
- Performance Dashboards
- Persistent data encryption using AES-256
- Product Analytics
- Rage Click detection
- Role-Based Access Control
- SAML Single Sign-On (SSO)
- Sensitive Data Detection and exclusion
- Sentiment Signals
- Session Replay
- StoryAI AI-powered insights and session summaries
- User Segments & Cohorts
At a glance
Integrations
Complianceself-reported
Resources
Pricing
Business, Advanced, and Enterprise plans require contacting sales for pricing ("Request pricing & demo"); no numeric prices are shown. Workforce and Anywhere (Warehouse, Activation) products are also quote-only. Add-ons like Multi-Org Management, Mobile, Advantage Subscription, StoryAI, and Guides and Surveys are priced separately and not disclosed.
Permanent free plan; no credit card required.
30,000 sessions per month, 12 months of data retention, for up to 10 users
Pricing not publicly listed; requires requesting pricing and a demo. Described as for companies needing deep product analytics and qualitative insights.
Pricing not publicly listed; requires requesting pricing and a demo. Described as for organizations discovering trends, planning roadmaps, and improving funnels at scale.
Pricing not publicly listed; requires requesting pricing and a demo. Described as for data science and analytics teams building predictive models or using data for GenAI/LLMs.