Fullstory is a digital experience analytics platform that captures and analyzes user interactions on websites and applications.
Enhance your user experience insights with AI agents that can automatically identify patterns, respond to user behavior, and drive improvements.
Fullstory provides deep insights into user behavior and digital experiences. Relevance AI transforms these insights into intelligent actions through AI agents that can analyze, respond, and optimize user interactions in real-time.
Contextual Awareness
The agent leverages real-time user data to provide relevant support and recommendations.
Proactive Issue Resolution
By analyzing user interactions, the agent can anticipate and address common problems before they escalate.
Personalized Engagement
The agent tailors interactions based on user behavior, enhancing the overall experience.
Relevance AI gives you access to Fullstory's digital experience analytics capabilities within your AI agent workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Fullstory data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Fullstory + Relevance AI integration without writing code:
- Optimize session tracking: Configure proper event tagging and user identification parameters.
- Structure API requests: Use consistent endpoint paths and proper authentication headers.
- Manage data flow: Set appropriate batch sizes for session data and user analytics exports.
- Monitor rate limits: Stay within API quotas by implementing proper request spacing.
- Validate responses: Check status codes and response bodies before processing data.
