Which of the following matches a benefit of machine learning?

Alleviates the strain on marketing resources by creating manual tasks.

Tailors bids to each machine, using relevant signals present at auction time.

Considers new and old signals to evaluate repeat user intent.

Algorithmically helps set the appropriate bid for each and every auction.


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

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Explanation: Which of the following matches a benefit of machine learning?


Explanation: The correct answer is **Algorithmically helps set the appropriate bid for each and every auction**. Machine learning in Google Ads utilizes algorithms to analyze vast amounts of data and make real-time bidding decisions based on various signals, such as user behavior, device type, time of day, location, and more. By continuously learning from these signals and adjusting bidding strategies accordingly, machine learning helps advertisers set the most appropriate bid for each individual auction. This dynamic bidding approach ensures that bids are tailored to maximize the likelihood of achieving specific campaign objectives, such as maximizing conversions or optimizing return on investment (ROI). Additionally, machine learning allows for efficient bid management at scale, freeing up marketers' time from manual bid adjustments and enabling them to focus on strategic tasks to enhance overall campaign performance.

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