Why should you avoid adjusting shortly after setup?

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Multiple Choice

Why should you avoid adjusting shortly after setup?

Explanation:
Shortly after setup, the system starts its learning phase, gathering data on how your ads perform and how to optimize bids and placements. If you make changes too soon, the learning phase restarts because the algorithm has to relearn with the new settings. That restart wipes the progress from the initial data, leading to volatility as the model recalibrates, and it can slow overall performance until enough new data accumulates. The safer approach is to wait until the learning period has stabilized before tweaking things, so changes are based on solid, ongoing data rather than a moving target. The other options aren’t right because you don’t control a separate “learning rate,” and adjustments don’t automatically terminate the campaign; they simply reset the learning process and can cause performance swings during the restart.

Shortly after setup, the system starts its learning phase, gathering data on how your ads perform and how to optimize bids and placements. If you make changes too soon, the learning phase restarts because the algorithm has to relearn with the new settings. That restart wipes the progress from the initial data, leading to volatility as the model recalibrates, and it can slow overall performance until enough new data accumulates. The safer approach is to wait until the learning period has stabilized before tweaking things, so changes are based on solid, ongoing data rather than a moving target. The other options aren’t right because you don’t control a separate “learning rate,” and adjustments don’t automatically terminate the campaign; they simply reset the learning process and can cause performance swings during the restart.

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