Integrations

Supercharge Segment with Relevance AI

Segment is an integration platform that allows for comprehensive tracking and management of user data across applications. With Relevance AI, you can leverage this data to power AI Agents that drive insights and automate decision-making.

Give your AI Agents Segment Superpowers

Segment provides a robust platform for managing user data across applications. Relevance AI amplifies this by enabling intelligent AI Agents to analyze and act on that data in real-time.

Real-Time Data Orchestration

Enables the agent to instantly access and act on unified customer data across multiple touchpoints and channels.

Cross-Platform Intelligence

Enhances the agent's ability to deliver consistent experiences by leveraging data from 300+ integrated tools and platforms.

Predictive Journey Optimization

Enables the agent to anticipate and respond to customer needs using historical and real-time behavioral data.

Tools

Equip AI Agents with the Segment Tools they need

Relevance AI seamlessly integrates with Segment to enhance your data workflows and user tracking capabilities.

Segment - Record page views on your website
Tracks and records when users view specific pages on your website, capturing page-level analytics and user interaction data
Segment - Identify a user, tie them to their actions and record traits about them
Associates user identities with their behaviors and characteristics, enabling personalized tracking and user profile management
Segment - Track actions your users perform
Monitors and logs specific user interactions and events on your platform, providing detailed analytics on user behavior
Segment - Record whenever a user sees a screen
Captures and logs screen view events in mobile or web applications, tracking user navigation patterns and engagement
Segment - Associate one identity with another
Links different user identifiers together, allowing for consistent user tracking across multiple identification methods
Segment - Associate an identified user with a group
Connects individual users to specific groups or organizations, enabling group-level analytics and user organization management
Name
Segment API Call
Description
Make an authorized request to a Segment API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body configuration", "Response handling"]
Use Case
An e-commerce company uses Segment API Call to automatically sync customer purchase data across their marketing tools, enabling personalized campaigns based on real-time transaction history. The integration streamlines their data workflow by making authenticated API requests to update user profiles and track events across multiple destinations.

Security & Reliability

The Segment integration utilizes a robust OAuth authentication mechanism, ensuring that only authorized workflows can access your user data. Relevance AI manages API operations (such as POST requests for tracking events and identifying users) seamlessly in the background, allowing you to focus on your application without worrying about errors, formatting, or rate limits.

With built-in validation and JSON parsing capabilities, the integration guarantees that your data is transmitted securely and accurately, even when dealing with varying data formats.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Segment + Relevance AI integration without writing code:
  • Start with a clear user identification strategy: Ensure you consistently use either userId or anonymousId for tracking.
  • Utilize consistent event naming conventions: This helps in maintaining clarity and organization in your analytics.
  • Include relevant context data: Always enrich your events with additional properties to provide better insights.
  • Test your implementation: Validate your tracking setup with test users and events before deploying to production.
  • Monitor API response times: Keep an eye on performance metrics to ensure smooth data flow and identify potential bottlenecks.