FullStory provides a digital experience analytics platform that helps businesses understand how users interact with websites and mobile apps. It records user sessions and events, then analyzes this data to reveal where users run into issues, where flows break, and what changes can improve usability. The product works by capturing user interactions, reconstructing sessions, and presenting findings through dashboards, funnels, and search and segmentation tools, often with a focus on session replay to pinpoint problems. It follows a Software-as-a-Service model with tiered pricing and a free trial, serving a wide range of industries from e-commerce to finance and travel, allowing customers to scale from small teams to large enterprises. FullStory’s goal is to enable better online experiences and higher conversions by turning raw interaction data into actionable insights.
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Company Size
501-1,000
Company Stage
Late Stage VC
Total Funding
$195.2M
Headquarters
Atlanta, GA
Founded
2014
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Total Funding
$195.2M
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Fullstory, an Atlanta-based digital experience company, has made StoryAI Agents and Fullstory Model Context Protocol (MCP) generally available. It announced the launches on November 10, 2026, at its #Bash_ customer event. StoryAI Agents work inside Fullstory. Expert Agents answer questions on demand, while 24/7 Agents monitor signals such as conversion and security and alert the right team. Fullstory MCP links behavioral data to AI tools including Claude, Codex, Cursor, and Gemini Enterprise. In beta, customers made close to 10 million tool calls. Super's design team now reviews more than 100 sessions a week with AI agents, up from five to 10. Happy Cabbage runs weekly customer success automations on the same data.
Fullstory customers put AI to work: How Wingstop, Bilt, Super and Happy Cabbage are getting answers faster with StoryAI Agents and Fullstory MCP, now generally available. November 10, 2026 12:05 ET | Source: Fullstory ATLANTA, Nov. 10, 2026 (GLOBE NEWSWIRE) - Fullstory, a leading intelligent digital experience company, today shared how customers are putting AI to work at #Bash_, its second annual customer innovation event. Teams are using AI to review customer sessions at a scale no one could achieve manually, run customer success workflows on behavioral data, and get answers while they matter most. These teams are able to achieve these results via StoryAI Agents and Fullstory Model Context Protocol (MCP), both now generally available. Together, they give teams AI that doesn't just report what happened in a digital experience, but watches, investigates, and delivers the answer to the right person or AI agent. Key Takeaways * At #Bash_, leaders from Wingstop, Bilt, Super and Happy Cabbage showed how they are using AI, MCP and agents to scale behavioral analysis that once required hours of manual session review. * StoryAI Agents are now generally available. Expert Agents answer questions on demand, and 24/7 Agents monitor signals across conversion, customer experience, sales, and security and deliver context to the right team, all inside Fullstory. * Fullstory MCP is now generally available. In beta, thousands of customers made close to 10 million tool calls. Now in GA, Fullstory MCP adds dashboard tools and Agentic Session Review capabilities, plus native connectors for Claude, Claude Code, Codex, Cursor, and Gemini Enterprise that get teams connected in a few clicks. "Fullstory's Session Finder agent helps me find answers faster than ever. I can ask a question in plain language, and it builds the segments and funnels for..." "Our customers aren't waiting for AI to be finished. They're building with it right now, and the teams pulling ahead are the ones giving their AI real context..." "Now real player sessions go into Fullstory, Claude watches them through Fullstory's MCP, and we run it as 70 agents in parallel instead of one pass. Each one..." "We don't treat AI as a chat window. We run real workflows on it. Every week, an automation scores how customers are actually using our product, builds a..." "Our customers aren't waiting for AI to be finished. They're building with it right now, and the teams pulling ahead are the ones giving their AI real context about how people actually experience their products. The operators we heard from at #Bash_ are proof of what happens when behavioral data meets agents: work that took hours now takes minutes, and humans spend their time on decisions instead of searching and analyzing." - Claire Fang, chief product and technology officer, Fullstory Recognizing Customers Building on the Leading Edge #Bash_ brought together operators and builders who are rethinking how their teams find and fix friction with AI. In fireside conversations with Fullstory leaders, speakers shared how they connect behavioral data to AI tools through Fullstory MCP, deploy agents to review sessions at scale, and close the loop between what customers do and what teams build next. At Super, a product design team that once reviewed five to ten session recordings per week now uses AI agents running through Fullstory MCP to review more than a hundred, turning a designer's question into an evidence-ranked product proposal in minutes. "Now real player sessions go into Fullstory, Claude watches them through Fullstory's MCP, and we run it as 70 agents in parallel instead of one pass. Each one compares two outcomes and scores them against our matrix. A designer inputs a single question and receives an evidence-ranked list of product opportunities as output. We went from reviewing 5 to 10 sessions a week by hand to over 100, and from an idea to a written proposal within a day instead of weeks." - Elliot Cowan, VP of Product Design, Super Happy Cabbage has gone further, running parts of its customer success function on scheduled AI automations powered by Fullstory behavioral data. "We don't treat AI as a chat window. We run real workflows on it. Every week, an automation scores how customers are actually using our product, builds a performance deck and writes the notes back into our CRM. Our customer reviews now happen when behavior says they should, not when the calendar does. Fullstory MCP gives our agents the one thing they can't guess: what customers actually did." - Danny Gold, chief operating officer, Happy Cabbage The teams above have something in common: their AI can see what customers actually did. Without this context, AI reasons from logs, tickets, and exports, so it guesses at the behavior behind them. Today's launches change that in two ways. StoryAI Agents put behavioral context to work inside Fullstory, so teams can ask questions, investigate friction, and get alerts without leaving the platform. Fullstory MCP brings the same context into the AI tools and agents teams already use. Whether the question starts in Fullstory or somewhere else, the answer comes from what customers did. StoryAI Agents: An Expert for Every Job StoryAI Agents replace manual data retrieval with agents that find and quantify what's happening in a digital experience. Now generally available inside Fullstory. They come in two categories: Expert Agents provide instant, on-demand answers on behavioral data for any role: * Session Finder finds exact sessions you describe in plain-language. * Conversion Optimizer pinpoints where and why users drop off in funnels. * Issue Investigator finds experience problems and traces them to their root cause. * Release Analyzer compares behavior before and after a deployment to catch regressions. * Fullstory Help answers product how-to questions in-app. 24/7 Agents are always-on specialists that monitor specific signals and deliver context to the right team: * Lead Qualification scores sign-up and demo requests on behavioral intent and delivers lead briefs to sales. * Cart Abandonment separates shoppers who changed their minds from those blocked by errors, with a suggested follow-up for each. * Customer Service alerts support when high-value customers struggle, so teams can reach out before a complaint. * Voice of Customer pairs survey and feedback responses with the journey behind them, flagging when responses contradict the actions taken. * Account Takeover alerts when compromised credentials lead to a successful login and summarizes what happened next. * Credential Stuffing flags sign-in attack patterns before an account is breached. * Issue Monitor (Early Access) reviews sessions across your entire app, or the pages and flows you choose, and reports the issues users encounter. * Session Observer (Early Access) watches the users you choose for the behaviors you describe in plain language, then reports what it saw across their sessions. "Fullstory's Session Finder agent helps me find answers faster than ever. I can ask a question in plain language, and it builds the segments and funnels for me and lays out the data in a way that's easy to understand. It takes the guesswork out of building segments from scratch." - Sara Menchaca, Sr. Manager Digital CX, Wingstop Fullstory MCP: Behavioral Context for Every AI Tool Fullstory MCP connects a company's behavioral data directly to the AI tools and agents where teams already work, following existing Fullstory privacy and security settings. It enables anyone to ask questions about customer behavior through plain language. Now generally available, Fullstory MCP adds: * Native connectors: Connect to Fullstory in a few clicks inside AI tools you are already using (Claude, Claude Code, Codex, Cursor, Gemini Enterprise). * Agentic Session Review: Lets AI investigate a session to find where the user friction occurs and what's driving it. It can zoom into a particular moment, fast forward, rewind, check network calls and console messages to figure out the root cause of an issue. Without watching a session, teams can confirm which element a user clicked, spot an error state, or find what changed between two moments without watching the replay. * Dashboard tools: build a Fullstory validated dashboard from a simple plain-language request. Additional Resources About Fullstory Fullstory is the intelligent digital experience company built for the AI era. By automatically capturing every digital interaction, Fullstory transforms unstructured behavioral data into actionable intelligence that drives smarter decisions and better outcomes. Context-rich foundational data powers autonomous agents that predict and guide customer and employee needs, personalize experiences in real time, and fix friction before it impacts revenue. Fullstory gives enterprises the behavioral intelligence to continuously improve every digital journey. Trusted by thousands of global brands and headquartered in Atlanta with teams across North America, LATAM, EMEA, and APAC, Fullstory turns digital behavior into lasting competitive advantage. Fullstory Media Relations Adam Gunn, VP of Marketing [email protected]
Fullstory reports triple-digit multi-product ARR growth as enterprises expand AI adoption. Read Time: 3 Minute, 42 Second Digital experience intelligence company reports more than 100% year-over-year growth in multi-product ARR, alongside new AI tools and expanded partnerships Fullstory has reported strong first-half FY27 momentum, with multi-product annual recurring revenue (ARR) growing more than 100% year over year as large enterprises expand their use of the company's behavioral intelligence and AI capabilities. The company said its largest customer segment has continued to deliver double-digit growth, with new business across retail, financial services, technology and hospitality. Several Fortune 100 brands were among the customers added or expanded during the first half of the fiscal year. Fullstory attributed the growth in part to increased adoption of its AI products, including Fullstory MCP, StoryAI Agents and Agentic Session Review. AI products drive platform expansion. Fullstory has expanded its product portfolio around the use of behavioral data by AI systems. Fullstory MCP connects AI tools including Claude, ChatGPT and Gemini with live behavioral context, allowing teams to investigate user sessions and identify potential sources of friction. The company said weekly MCP tool calls increased tenfold in Q2, while call volume has more than doubled each month since launch. StoryAI Agents are designed to identify and prioritize user experience issues automatically, reducing the need for teams to manually retrieve and analyze behavioral data. The company has also expanded Workflow Intelligence, which uses browser-based data capture to analyze internal processes, identify potential automation opportunities and measure time and effort savings. Agentic Session Review targets AI development workflows. In July 2026, Fullstory introduced Agentic Session Review (ASR), a capability designed specifically for AI coding agents rather than human users manually reviewing session recordings. The technology enables agents such as Claude Code, Cursor, Codex and Devin to access production sessions from a terminal, analyze structured event data and investigate specific points in a user journey. Fullstory has also introduced purpose-built MCP tools that allow agents to open, zoom into and compare session data. Integrations with platforms including Sentry, Datadog, Segment, LangSmith, Intercom, Linear and LaunchDarkly can provide a direct path from an identified issue to the behavioral session associated with it. Customer results across industries. Fullstory highlighted several customer examples demonstrating how organizations are applying behavioral intelligence to digital experience optimization. Jaguar Land Rover used Fullstory data to identify friction in its mobile experience and redesigned parts of its customer journey. The company said the changes contributed to an increase in its mobile app rating from 1.2 stars to 4.8 stars. An international hospitality company identified what Fullstory described as $17 million in digital friction during its first three months using StoryAI Opportunities. The organization also discovered that 12% of search-page traffic was generated by bots and introduced automated filtering. Platform usage subsequently expanded to more than 320 active users. A Fortune 500 financial institution used behavioral data to analyze its online banking enrollment process, reporting a 10.8% increase in conversion rates. The organization also identified a loan conversion module with insufficient expected ROI and avoided a planned $1 million investment after analyzing its performance. Expanding AI and cloud partnerships. Fullstory has continued to expand its presence across major cloud and AI ecosystems. In July, the company became a Snowflake Select Partner, allowing customers to transact its behavioral intelligence solutions through the Snowflake Marketplace. Fullstory also became available through the Anthropic Marketplace, OpenAI Directory, Cursor Marketplace and Google Gemini Enterprise. The company was additionally named Technology Partner of the Year by Intercom, now Fin, in February 2026 for its integration of session insights with Intercom's AI-powered customer engagement technology. Fullstory's partner awards also recognized Fin as Technology Partner of the Year, Snowflake as Cloud Partner of the Year, NTT Data as Rising Star Partner of the Year and LeanConvert as Global Solution Partner of the Year. Continued market recognition. Fullstory said its technology has also received mentions from analyst firms including Gartner, with references in research covering areas such as product analytics, user experience and emerging technology trends. Scott Voigt, Co-founder and CEO of Fullstory, said the company's growth reflects increasing demand for high-quality behavioral data as enterprises deploy agentic AI systems. The company is positioning its platform as a behavioral data layer that can provide structured user context to AI and enterprise technology platforms, with the broader goal of enabling organizations to move from analyzing digital experiences to using AI to identify and address issues proactively.
Strategic investment, led by Permira, will fuel international expansion and advance DXI across digital products, websites and mobile applications.
Fullstory, a behavioural data company, has launched three new AI-powered solutions: Model Context Protocol (MCP), StoryAI Agents, and Workflow Intelligence. The products aim to help companies understand customer and employee activity and respond to friction points more effectively. Fullstory MCP integrates behavioural data directly into AI tools like Claude and ChatGPT, eliminating manual data exports. StoryAI Agents automate analytics workflows by proactively identifying and prioritising user experience issues. Workflow Intelligence provides visibility into internal processes, helping identify automation opportunities and measure technology investment effectiveness. The solutions leverage browser-based data capture to provide organisations with detailed insights across applications and teams, enabling faster decision-making and improved operational efficiency.
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Industries
Company Size
501-1,000
Company Stage
Late Stage VC
Total Funding
$195.2M
Headquarters
Atlanta, GA
Founded
2014
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs