Your manager is questioning the need for you to spend time on your new Google App campaign, since 'machine learning is doing everything'. What are three things that you can tell your manager that you're doing to guide the campaign? Select the best answers.

Keep an eye on strategy and objectives, evolving them over time as needed

Create helpful boundaries for the system to work within by setting a thoughtful bid and budget

Provide the system with ample, meaningful data and the time to process it

Make adjustments to the campaign in reaction to hourly fluctuations in performance


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

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Explanation: Your manager is questioning the need for you to spend time on your new Google App campaign, since ‘machine learning is doing everything’. What are three things that you can tell your manager that you’re doing to guide the campaign? Select the best answers.


Explanation: When managing a Google App campaign, it's essential to communicate to your manager the proactive steps you're taking to guide the campaign effectively, despite the presence of machine learning. Firstly, **keeping an eye on strategy and objectives, evolving them over time as needed** ensures that the campaign remains aligned with overarching business goals and adapts to changing market conditions or organizational priorities. This human oversight provides strategic direction and ensures that the campaign's objectives remain relevant and achievable. Secondly, **creating helpful boundaries for the system to work within by setting a thoughtful bid and budget** allows you to control spending and optimize resource allocation based on campaign performance and budget constraints, ensuring that the campaign operates within defined parameters and maximizes return on investment. Lastly, **providing the system with ample, meaningful data and the time to process it** is crucial for facilitating effective machine learning and optimization. By feeding the system with relevant data and allowing sufficient time for analysis and learning, you enable the algorithm to make informed decisions and continuously improve campaign performance over time. These proactive measures ensure that the campaign benefits from the capabilities of machine learning while still being guided by human expertise and strategic oversight, resulting in optimal outcomes and maximizing the campaign's effectiveness and efficiency. Adjusting the campaign in reaction to hourly fluctuations in performance is not advisable as it can lead to knee-jerk reactions and destabilize the campaign's overall performance. Therefore, focusing on strategic guidance and providing the system with necessary resources and boundaries are more effective approaches to ensure campaign success.
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