ChartMogul is a subscription analytics platform that helps businesses track and analyze their revenue metrics. With Relevance AI, you can leverage these analytics to empower AI Agents that optimize decision-making and streamline operations.
ChartMogul provides powerful subscription analytics and revenue reporting capabilities. Relevance AI amplifies these insights by enabling intelligent AI Agents to automate data management and drive actionable outcomes.
Revenue Pattern Recognition
Agent analyzes complex subscription patterns to identify revenue optimization opportunities in real-time
Predictive Churn Intelligence
Leverages historical data to forecast potential customer churn before it occurs
Proactive Revenue Forecasting
Utilizes machine learning to predict future revenue trends and growth opportunities
Relevance AI seamlessly integrates with ChartMogul to enhance your subscription analytics 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 leverages secure OAuth authentication to ensure protected access to your ChartMogul subscription analytics and revenue data. Relevance AI manages all API operations (including customer data management, subscription tracking, and revenue analytics) behind the scenes—eliminating concerns about rate limits, data formatting, or authentication errors.
Built-in data validation and automatic type conversion ensure seamless workflow execution across ChartMogul's extensive metrics and reporting capabilities.
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 ChartMogul + Relevance AI integration without writing code:
- Start with a clean data structure: Ensure customer data is well-organized with clear identifiers and consistent formats.
- Utilize pre-built workflows: Relevance AI provides templates for managing customer data and tracking subscriptions—perfect for quick implementation.
- Connect securely: Double-check that you are using the correct OAuth credentials and data source UUID during setup.
- Test before scaling: Validate API calls with sample data to prevent widespread issues in production.
- Monitor API usage: Be aware of rate limits and implement caching strategies to optimize performance and avoid throttling.
