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Home » Google Display Advertising Exam » What does a Responsive Display Ad use in its machine-learning model to determine the optimal combination of assets for your ad slot?

What does a Responsive Display Ad use in its machine-learning model to determine the optimal combination of assets for your ad slot?

Last Updated on 1 month by School4Seo Team

Responsive Display Ad use Predictions built from your performance history in its machine-learning model to determine the optimal combination of assets for your ad slot.


  • Predictions built from ad portfolio data, aggregated across benchmark businesses.
  • Predictions built from files exported from your CRM.
  • Predictions built from performance data across your industry.
  • Predictions built from your performance history.

The correct answer is: Predictions built from your performance history.

Explanation: Predictions built from your performance history are a key component of the Responsive Display Ad’s machine-learning model.

The system analyzes past performance data, including which asset combinations have yielded the best results. This helps it predict which combinations will perform optimally in future ad slots. By learning from historical data, the model adapts to user behavior and ad placement, ensuring the most effective ad variations are shown. This data-driven approach maximizes ad performance and helps advertisers achieve their marketing goals by showing the most relevant ads.

Responsive Display Ad use Predictions built from your performance history in its machine-learning model to determine the optimal combination of assets for your ad slot.

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