While Performance Max uses machine learning models to optimize many features, which three features will you still need to add manually? Choose two.

ad placements

bids

budget

ad creatives

creative combinations


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

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Explanation: While Performance Max uses machine learning models to optimize many features, which three features will you still need to add manually? Choose two.


Explanation: In Performance Max campaigns, although machine learning models handle the optimization of numerous features automatically, there are still critical elements that require manual intervention to ensure campaign success. Among the options provided, the two features that need to be added manually are **'budget'** and **'ad creatives.'** The budget allocation is a fundamental aspect of campaign management, dictating the overall investment and resource allocation for the advertising efforts. While machine learning aids in optimizing budget utilization, setting the initial budget requires human input based on business goals, market conditions, and available resources. Similarly, crafting compelling ad creatives is essential for capturing audience attention and driving engagement. While machine learning can optimize ad delivery based on performance data, the creation of impactful ad content necessitates human creativity and strategic thinking to resonate with the target audience effectively. Therefore, selecting 'budget' and 'ad creatives' as features requiring manual input aligns with the roles that marketers play in shaping the strategic direction and creative execution of Performance Max campaigns, ensuring that these critical aspects are tailored to meet specific campaign objectives and audience preferences.
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