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Home » Google Ads Apps Certification Exam Answers » Betty’s manager is wondering why she needs to spend time on her new Google App campaign, as machine learning helps to automate a significant amount of the campaign. What are three things that Betty can do to guide the campaign? (Choose three)

Betty’s manager is wondering why she needs to spend time on her new Google App campaign, as machine learning helps to automate a significant amount of the campaign. What are three things that Betty can do to guide the campaign? (Choose three)

By vmartinez

Betty’s manager is wondering why she needs to spend time on her new Google App campaign, as machine learning helps to automate a significant amount of the campaign. What are three things that Betty can do to guide the campaign? (Choose three)

  • Provide the system with ample, meaningful data and the time to process it.
  • Keep an eye on strategy and objectives, evolving them over time as needed.
  • Build a library of different ad assets, with the intention swapping them entirely on a weekly basis.
  • Make adjustments to the campaign in reaction to hourly fluctuations in performance.
  • Create helpful boundaries for the system to work within by setting a thoughtful bid and budget.

 

Explanation:

Three things that Betty can do to guide her new Google App campaign, despite machine learning automating a significant portion of it, are to **provide the system with ample, meaningful data and the time to process it**, **keep an eye on strategy and objectives, evolving them over time as needed**, and **create helpful boundaries for the system to work within by setting a thoughtful bid and budget**. These actions are essential for ensuring that the campaign performs optimally and aligns with the company’s goals and objectives. By providing ample, meaningful data and allowing the system time to process it, Betty enables the machine learning algorithms to make informed decisions and optimize campaign performance over time. Continuously monitoring strategy and objectives allows Betty to adapt to changing market conditions, consumer behavior, and campaign performance, ensuring that the campaign remains aligned with the company’s overarching goals and objectives. Additionally, creating helpful boundaries such as setting a thoughtful bid and budget ensures that Betty maintains control over campaign spending and resource allocation, preventing overspending or underperformance. Therefore, while machine learning automates many aspects of the campaign, Betty’s active involvement in providing data, monitoring strategy, and setting boundaries is crucial for guiding the campaign towards success and maximizing its effectiveness in achieving desired outcomes.

 

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