Integrations

Supercharge Google Ad Manager with Relevance AI

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.

Give your AI Agents Google Ad Manager Superpowers

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

Tools

Equip AI Agents with the Google Ad Manager Tools they need

Relevance AI seamlessly integrates with Google Ad Manager, enhancing your advertising workflows with powerful data insights.

Google Ad Manager - Create Report
Creates customized advertising reports in Google Ad Manager with configurable dimensions, metrics, filters and scheduling options for comprehensive campaign analysis and performance tracking
Name
Google Ad Manager API Call
Description
Make an authorized request to a Google Ad Manager API
Parameters
["OAuth Account Authorization", "Multiple Base URL Support", "HTTP Method Selection", "Custom Headers", "Request Body Configuration"]
Use Case
A digital advertising agency uses this integration to automate campaign performance tracking across multiple client accounts, making authorized API calls to fetch real-time metrics and generate automated reports without manual data gathering.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Google Ad Manager + Relevance AI integration without writing code:
  • Start with a clear report structure: Define clear dimensions and metrics to ensure meaningful insights.
  • Utilize pre-built report templates: Relevance AI provides templates for common reporting needs, making it easier to get started.
  • Connect carefully: Ensure you have the correct OAuth credentials and permissions set up during integration.
  • Test your reports: Run reports on a small scale first to validate configurations before full deployment.
  • Monitor API usage: Keep an eye on your API quota and implement rate limiting to avoid hitting usage caps.