True or False: Automated App campaigns typically fluctuate around a target and should meet it over a period like 30 days.

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Multiple Choice

True or False: Automated App campaigns typically fluctuate around a target and should meet it over a period like 30 days.

Explanation:
Automated App campaigns rely on machine learning to optimize toward a target metric (like CPA or ROAS). Because the system is in a continuous learning phase, performance can bounce day to day as it tests bids, audiences, and creatives. Over a longer period with enough conversion data—often around 30 days—the averages tend to align with the set target. So fluctuations around the target are normal, and the campaign should meet the target on average over that longer window. It isn’t guaranteed to hit the target every day, and it isn’t correct to say it will never exceed the target; the key idea is that convergence happens over time with enough data.

Automated App campaigns rely on machine learning to optimize toward a target metric (like CPA or ROAS). Because the system is in a continuous learning phase, performance can bounce day to day as it tests bids, audiences, and creatives. Over a longer period with enough conversion data—often around 30 days—the averages tend to align with the set target. So fluctuations around the target are normal, and the campaign should meet the target on average over that longer window. It isn’t guaranteed to hit the target every day, and it isn’t correct to say it will never exceed the target; the key idea is that convergence happens over time with enough data.

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