Henry has been running a Google App campaign for a number of days and he noticed that it's still in a learning phase. What can contribute to an App campaign remaining in the learning phase for an extended time?

The campaign name

A low budget

Only providing text assets

Language setting


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

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Explanation: Henry has been running a Google App campaign for a number of days and he noticed that it’s still in a learning phase. What can contribute to an App campaign remaining in the learning phase for an extended time?


Explanation: Henry may find his Google App campaign remaining in the learning phase for an extended time due to **a low budget**. The learning phase occurs when Google's machine learning algorithms are still gathering data and optimizing ad delivery to achieve the campaign's objectives efficiently. During this phase, the algorithm experiments with different targeting, bidding, and ad placements to learn which combinations are most effective in driving the desired outcomes, such as app installs or conversions. If the campaign has a low budget, it may limit the frequency and volume of ad impressions, interactions, and conversions, thus prolonging the learning phase. A low budget restricts the campaign's ability to reach a sufficient number of users and generate enough data for the algorithm to make informed optimization decisions. Therefore, increasing the campaign budget can help expedite the learning process by providing more opportunities for the algorithm to gather data and refine its strategies, ultimately leading to improved campaign performance and faster achievement of campaign objectives. The other options, such as the campaign name, providing only text assets, or language settings, are less likely to significantly impact the duration of the learning phase compared to budget constraints.

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