List of Fullstory Session Replay Customers
Atlanta, 30309, GA,
United States
Since 2010, our global team of researchers has been studying Fullstory Session Replay customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Fullstory Session Replay for Customer Analytics from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Fullstory Session Replay for Customer Analytics include: JetBlue, a United States based Transportation organisation with 23000 employees and revenues of $9.28 billion, Travel + Leisure Co., a United States based Leisure and Hospitality organisation with 19000 employees and revenues of $3.86 billion, Moosejaw Mountaineering, a United States based Retail organisation with 350 employees and revenues of $100.0 million and many others.
Contact us if you need a completed and verified list of companies using Fullstory Session Replay, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Fullstory Session Replay customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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JetBlue | Transportation | 23000 | $9.3B | United States | FullStory | Fullstory Session Replay | Customer Analytics | 2024 | n/a | In 2024, JetBlue implemented Fullstory Session Replay as part of its Customer Analytics capability to instrument and observe digital booking, check-in, and payment experiences. The deployment focused on session replay and behavioral analytics to capture user interactions across web and mobile booking flows in the United States, with explicit emphasis on CRM-related digital experiences used by customer and product teams. Implementation centered on Fullstory Session Replay and analytics modules, configured to record session playback, user event sequences, and funnel touchpoints across booking and payment journeys. The configuration included event instrumentation for checkout and authentication checkpoints, and behavioral analysis to support faster hypothesis validation for A/B tests and conversion troubleshooting. Operational coverage targeted digital product, CRM, and payments workflows rather than back office systems, with monitoring embedded in the booking engine, mobile check-in flows, and payment screens. Data was used by product managers, UX researchers, and CRM operators to triage errors and refine user flows, maintaining focus on United States customer interactions. Governance emphasized workflow changes for incident investigation and experimentation, routing session replays and analytics findings into A/B test cycles and product backlog items. Outcomes reported from the engagement include a documented 20% reduction in payment errors and accelerated A/B test insight cycles, derived from session replay analysis and behavioral instrumentation. | |
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Moosejaw Mountaineering | Retail | 350 | $100M | United States | FullStory | Fullstory Session Replay | Customer Analytics | 2014 | n/a | In 2014, Moosejaw Mountaineering implemented Fullstory Session Replay to support Customer Analytics across its e-commerce operations. The deployment went live in October 2014 in the United States and targeted improvements to ecommerce UX and customer support troubleshooting. Fullstory Session Replay was configured to capture client side session data and surface session replay signals, notably Rage Click and Dead Click, enabling playback of user sessions for granular behavior analysis. The implementation emphasized session replay capabilities and event tagging to help isolate checkout interruptions and interaction failures, consistent with Customer Analytics workflows. Operational usage spanned marketing, support, and engineering teams, with support and engineering using session replays to diagnose checkout and site issues and marketing consuming signals for UX optimization. Replays and signal artifacts were surfaced into support workflows and engineering investigations to shorten diagnosis cycles and clarify user behavior at point of failure. Governance centered on cross functional access controls and new troubleshooting workflows that routed session replay evidence through support triage into engineering review. The deployment enabled support and engineering to replay sessions to diagnose issues and save hours on troubleshooting. | |
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Travel + Leisure Co. | Leisure and Hospitality | 19000 | $3.9B | United States | FullStory | Fullstory Session Replay | Customer Analytics | 2024 | n/a | In 2024, Travel + Leisure Co. implemented Fullstory Session Replay across multiple club websites to surface user experience friction and move support from reactive to proactive. The deployment is positioned within the companys Customer Analytics workstream for digital experience across its travel and hospitality properties in the United States, with an operational focus on booking flows and membership feature interactions. The Fullstory Session Replay implementation combined session replay with event level analytics and funnel visibility to instrument booking journeys, key interactive features, and support touchpoints. Configuration emphasized capturing clickstream and page state, tagging critical events and creating session filters and journey segmentation to prioritize reproducible UX issues. Product managers and support agents used replay artifacts and aggregated behavioral signals to accelerate root cause analysis and to inform product backlog decisions. Operational coverage included product and support teams across the club websites in the United States, centralizing behavioral context into a Customer Analytics lens for triage and feature iteration. Governance introduced repeatable triage workflows that escalated high priority replays into product sprints and used session replays to validate fixes prior to release. The deployment produced an approximately 18.5% decrease in time to booking and reported conversion improvements for key features as documented in the vendor case study. |
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