How often are bidding strategies adjusted in AI-Powered Shopping Ads?

Bidding strategies in AI-Powered Shopping Ads are adjusted in real-time based on performance data. This capability allows advertisers to optimize their campaigns dynamically by responding to changing market conditions, consumer behavior, and other relevant factors that impact ad performance. Real-time adjustments are crucial for maximizing return on investment, as they enable the system to increase bids for top-performing products while reducing bids on those that are underperforming. This responsiveness ensures that ad spending is allocated efficiently to achieve the best possible results.

In contrast, the other options suggest a static approach to bidding strategies, which would not leverage the capabilities of AI and data analysis inherent in AI-Powered Shopping Ads. A fixed strategy throughout the campaign duration or adjustments made only at specific intervals, such as the beginning of the campaign or once a month, fail to capitalize on the valuable insights gained from ongoing performance metrics and market fluctuations.