Hotjar is a powerful analytics and feedback tool that helps businesses understand user behavior through heatmaps, recordings, and surveys.
Enhance your user insights with AI agents that can analyze patterns, automate feedback collection, and drive data-driven improvements.
Hotjar provides deep insights into user behavior through heatmaps, recordings, and feedback tools. Relevance AI transforms these insights into intelligent actions with AI agents that can analyze patterns and automate responses.
Real-Time User Insights
The agent can access and analyze user behavior data instantly.
Enhanced Personalization
The agent can tailor experiences to individual user preferences.
Data-Driven Recommendations
The agent can provide actionable insights based on user analytics.
Relevance AI gives you access to Hotjar's powerful analytics and feedback tools 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 Hotjar account
- A Relevance AI account with API access
- Authorization credentials from both platforms
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Hotjar data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about authentication tokens, request formatting, or rate limits.
Built-in validation and error handling ensure your workflows run smoothly when interacting with Hotjar's analytics and feedback data.
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.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
