Google Ad Manager is a comprehensive platform for managing and optimizing digital advertising campaigns. With Relevance AI, you can leverage advanced AI Agents to transform your advertising data into actionable strategies and insights.
Google Ad Manager provides robust tools for managing ad campaigns and generating reports. Relevance AI amplifies these capabilities by enabling intelligent AI Agents to analyze data and optimize campaign performance automatically.
Real-Time Revenue Orchestration
The AI agent dynamically optimizes ad inventory pricing and placement across multiple channels for maximum yield
Predictive Campaign Intelligence
Leverages historical data and market trends to forecast performance and automatically adjust campaign parameters
Automated Yield Enhancement
Continuously analyzes and adjusts bidding strategies to maximize revenue per impression
Relevance AI seamlessly integrates with Google Ad Manager, enhancing your advertising workflows with powerful data insights.
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
This integration enables seamless interaction with Google Ad Manager's API through a standardized interface, allowing you to create reports, manage ad campaigns, and access advertising data programmatically. Relevance AI handles API operations (like creating reports and managing campaigns) in the background—so you don’t have to worry about errors, formatting, or limits.
Key benefits include automated reporting, streamlined campaign management, and data-driven decision making, ensuring your advertising efforts are efficient and effective.
To get started, ensure you have the required accounts and credentials, including a Google Ad Manager account with administrative access and OAuth 2.0 credentials. Additionally, make sure your system meets the necessary requirements, such as having Node.js 12.x or higher and HTTPS support for OAuth authentication.
Once your setup is complete, you can create a basic report with just a few lines of code, leveraging the power of the Google Ad Manager API. Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary.
For troubleshooting, common issues such as authentication errors or report creation failures can be resolved by verifying your OAuth credentials and checking the compatibility of selected dimensions and metrics. Implementing error handling and monitoring API usage will further enhance the reliability of your integration.
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.
