Integrations

Supercharge Sidetracker with Relevance AI

Sidetracker is a leading analytics and tracking platform that helps businesses monitor and optimize their digital marketing efforts across channels.

Enhance your analytics with AI agents that can automatically derive insights and take action on your marketing data.

Give your AI Agents Sidetracker Superpowers

Sidetracker delivers powerful analytics and tracking insights across digital channels. Relevance AI transforms this data into intelligent action through AI agents that can analyze, optimize and automate marketing decisions.

Dynamic Campaign Orchestration

Agents can automatically adjust campaign parameters in real-time for optimal performance.

Intelligent Personalization

Agents deliver tailored content and recommendations based on user behavior insights.

Predictive Lead Insights

Agents utilize predictive analytics to identify and prioritize high-potential leads.

Tools

Equip AI Agents with the Sidetracker Tools they need

Relevance AI gives you access to Sidetracker's analytics capabilities within your AI agent workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Sidetracker data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about authorization headers, request formatting, or rate limits.

Built-in validation and path handling ensure your workflows run smoothly, even when making requests to different Sidetracker endpoints.

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 Sidetracker + Relevance AI integration without writing code:
  • Use proper authentication: Ensure OAuth credentials are correctly configured and permissions are set to read-write.
  • Structure API requests: Follow RESTful conventions when setting up paths and methods in your workflows.
  • Handle responses properly: Monitor response status codes and implement error handling in your automations.
  • Optimize request headers: Use only necessary headers and maintain consistent content types across calls.
  • Manage API limits: Space out requests appropriately and implement retry logic for failed calls.