{"best_for":["Product and Engineering teams","Digital Marketing managers","Customer Support leads","UX and Data Analysts","Businesses with web or mobile apps"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/fullstory","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/fullstory.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-022.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: Fullstory (https://aitoolsforbusiness.ai/fullstory)"},"features":["Session Replay: Allows teams to watch recordings of user sessions to see how they interact with the site or app.","Fullcapture Autocapture: Automatically collects behavioral data from web and mobile apps, which may reduce the need for manual event tagging.","Heatmaps: Visualizes where users click, scroll, and engage on a page.","StoryAI: Uses AI agents to analyze behavioral data and surface insights.","Funnels and Conversions: Tracks the user journey through specific steps to identify where drop-offs occur.","Private by Default: Designed to exclude sensitive user data and PII from the recording process.","Workforce Analytics: Analyzes how employees use internal digital tools to identify workflow inefficiencies."],"freshness_status":"fresh","name":"Fullstory","pricing_note":"Fullstory offers a free plan (FullstoryFree) providing 30,000 monthly sessions. Paid tiers include Business, Advanced, and Enterprise; buyers should confirm current pricing on the vendor website.","pricing_url":null,"primary_category":"Data & Analytics","profile_last_verified":"2026-06-07T17:39:01.284Z","secondary_categories":[],"short_description":"Fullstory is a behavioral data platform that provides session replay and digital analytics to help businesses understand how users interact with their sites and apps.","slug":"fullstory","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/fullstory","use_cases":["Reducing Checkout Friction: Identifying points where shoppers drop off during the purchase process to support recovery of lost revenue.","Technical Troubleshooting: Using session replays to provide customer support and engineering teams with context on errors users are encountering.","A/B Test Validation: Pairing quantitative test results with behavioral data to observe why certain variants perform differently.","Employee Workflow Optimization: Visualizing how staff interact with internal software to identify inefficient handoffs or tool adoption issues."],"website_url":"https://fullstory.com/"}