A marketing manager wants to try Maximize Conversions. How does this bidding strategy work?

By aiming to achieve an average return on ad spend (ROAS) equal to a desired target.

By automatically limiting conversions that don't align with a desired bidding strategy.

By being the safest bidding strategy for all business types to optimize their bidding.

By using machine learning to capture as many conversions as possible within a daily budget.


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: A marketing manager wants to try Maximize Conversions. How does this bidding strategy work?


Explanation: The correct answer is **'By using machine learning to capture as many conversions as possible within a daily budget.'** Maximize Conversions is a bidding strategy in Google Ads that utilizes machine learning algorithms to automatically adjust bids with the goal of capturing as many conversions as possible within a specified daily budget. This bidding strategy is particularly useful for advertisers who prioritize maximizing the volume of conversions without explicitly setting a target return on ad spend (ROAS) or cost per acquisition (CPA). By leveraging machine learning, Maximize Conversions dynamically adjusts bids based on various factors such as historical performance, real-time auction dynamics, and user behavior to optimize for the highest possible conversion volume within the budget constraints. This approach allows advertisers to efficiently allocate their budget to maximize the impact of their advertising campaigns and achieve their conversion goals. Therefore, Maximize Conversions works by using machine learning to capture as many conversions as possible within a daily budget, making it the correct answer option.

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