Meta CLI: AI Optimizes Paid Ads with Natural Language
Summary
Marketers can now directly optimize their paid advertising across major platforms like Meta, Google, and others using AI models like Claude, Gemini, and CoPilot. Here's the thing: last week, Meta launched its Command Line Interface, matching Google Ads' existing toolkit. This means you can use natural language to query campaign performance. For example, with Gemini, you can ask, "Show me campaigns with the highest Return on Ad Spend in the last 30 days." You'll need Python 3.10+, a Google Ads Developer Token, and your OAuth 2.0 Client ID and Secret to set it up. What's interesting is that this development allows marketers to bypass third-party tools, directly leveraging the power of the latest AI to enhance their ad strategies. The bottom line: this shift makes advanced AI-driven optimization accessible, potentially leading to more efficient ad spending and better results.
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