What Are AI Agents?

AI Agents are task-focused automation tools built within NinjaCat to help you streamline processes and gain deeper insights from your advertising data. They leverage NinjaCat's Data Cloud to perform specific functions, reducing manual effort and improving decision-making.

Key Capabilities of AI Agents

• Automate repetitive tasks – Manage routine actions like spend monitoring and search query analysis.
• Detect issues in creative assets – Identify creatives that have stopped running, potentially due to broken ad tags.
• Analyze data for optimization – Pinpoint opportunities for improvement across integrated advertising datasets.

How AI Agents Work

AI Agents function by processing data stored in NinjaCat’s Data Cloud. The insights and actions they generate depend on the datasets available to them. If you are new to NinjaCat's Data Cloud, it is recommended that you complete the Learning Path: Setting Up NinjaCat's Data Cloud before configuring AI Agents.

Steps to Set Up an AI Agent

1. Ensure Data Cloud Integration

   • Verify that your advertising data is successfully integrated into NinjaCat's Data Cloud.
   • Check for completeness and accuracy in your datasets.

2. Select an AI Agent Type

   • Choose an AI Agent based on your specific use case (e.g., spend monitoring, anomaly detection, campaign optimization).

3. Configure Agent Settings

   • Define the data sources the AI Agent should analyze.
   • Set rules, thresholds, or KPIs relevant to the agent’s function.

4. Activate and Monitor

   • Deploy the AI Agent and allow it to run scheduled analyses or real-time monitoring.
   • Review insights and recommendations generated by the AI Agent.

5. Refine Based on Performance

   • Adjust configurations or rules as needed to improve accuracy and relevance.

Best Practices for Using AI Agents

• Regularly review AI-generated insights to ensure they align with business goals.
• Refine datasets in Data Cloud to improve the quality of AI-driven recommendations.
• Use AI Agents for strategic decision-making by integrating their outputs into reporting and optimization workflows.

Common Issues & Troubleshooting

Issue: AI Agent is not generating insights.
Solution: Ensure that data sources are properly connected and that the AI Agent has access to the correct datasets.

Issue: Recommendations seem inaccurate.
Solution: Review dataset quality and refine configuration settings to align with campaign goals.

By leveraging NinjaCat AI Agents, your team can automate key tasks, reduce manual effort, and unlock powerful insights—making your data work smarter for you.