Fullstory
Fullstory is a digital experience analytics website for session replay, product analytics, behavioral data, in-product guidance, surveys, and AI-assisted insight into how people use websites and apps.
Who is Fullstory?
Fullstory official site presents Fullstory as an intelligent digital experience platform powered by behavioral analytics. It is aimed at teams that need to understand what users actually did in a website, app, checkout flow, support journey, or internal workflow.
Digital experience analytics
Fullstory sits in the category often called digital experience analytics. Instead of only counting page views or events, it connects behavioral signals to journeys, funnels, errors, feedback, and individual sessions. That helps teams move from a metric such as a drop-off rate to a more concrete question: what happened on the screen before people got stuck?
Session replay and Fullcapture
Session replay is one of Fullstory's central workflows. The company describes Fullcapture as a privacy-first record of user interactions that can support replay, debugging, journey analysis, and AI-assisted investigation. For product and engineering teams, the value is context: clicks, page state, error signals, and behavior can be reviewed together rather than as separate clues.
Product analytics and journeys
Fullstory's analytics features are built around customer behavior, product usage, funnels, heatmaps, journey maps, dashboards, and user segments. These views help teams compare broad patterns with specific examples, so a product manager can see where a funnel leaks and then inspect representative sessions to understand why.
Guides, surveys, and feedback
Fullstory also offers Guides and Surveys for in-product guidance, product tours, contextual feedback, NPS-style surveys, and measurement of how those interventions perform. That makes the platform not only observational; teams can test whether a prompt, guide, or feedback request changes the experience at the moment a user needs help.
Who uses Fullstory
Fullstory is commonly relevant to product managers, UX researchers, designers, frontend engineers, data teams, growth teams, customer support, and ecommerce operators. It is most useful when a team already knows something is happening in the numbers but needs richer evidence about the user behavior behind it.
Limits and interpretation
Behavioral analytics tools need careful setup. Sampling, consent, privacy masking, retention periods, role permissions, and internal review practices shape what a team should collect and how confidently it can interpret the data. A replay can explain a real experience, but it should still be paired with aggregate analysis, accessibility review, performance testing, and direct user research.
Why it matters
Modern digital products often fail in small, invisible moments: a button does not respond, a form is confusing, an error message appears too late, or a support agent lacks context. Fullstory matters because it gives teams a way to connect those moments to measurable outcomes and then decide which experience problems deserve attention first.
WHOIS domain data
Data pulled: May 23, 2026View current WHOIS record
- Domain
- fullstory.com
- IP address
- 3.33.186.135
- Registrar
- Squarespace Domains II LLC
- WHOIS server
- whois.squarespace.domains
- Referral URL
- http://domains2.squarespace.com
- Created
- August 8, 2001
- Updated
- May 17, 2024
- Expires
- August 8, 2027
- Nameservers
- ns-cloud-d1.googledomains.com (216.239.32.109); ns-cloud-d2.googledomains.com (216.239.34.109); ns-cloud-d3.googledomains.com (216.239.36.109); ns-cloud-d4.googledomains.com (216.239.38.109)
- Domain status
- clientDeleteProhibited; clientTransferProhibited
- Contact privacy
- Registrant name, address details, phone, and fax are redacted for privacy; the organization is listed as FullStory in GA, US.