In the text assets recipe for excellence, which practice is recommended?

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Multiple Choice

In the text assets recipe for excellence, which practice is recommended?

Explanation:
In responsive search ads, your text assets are meant to be tested in many combinations by Google’s machine learning. Providing the maximum number of headlines and descriptions creates a large pool of variations the system can mix and match across different queries and user contexts. This broader testing opportunity helps surface the most relevant and effective messages, often improving click-through and performance over time. While having multiple assets is crucial for optimization, just using a single headline and description limits testing potential, and tailoring copy to an ad group matters for relevance, it doesn’t maximize the system’s ability to discover the best combinations. Experimenting with variety is useful, but the strongest lever for improvement here is supplying the maximum number of allowed assets so the ads can be tested widely.

In responsive search ads, your text assets are meant to be tested in many combinations by Google’s machine learning. Providing the maximum number of headlines and descriptions creates a large pool of variations the system can mix and match across different queries and user contexts. This broader testing opportunity helps surface the most relevant and effective messages, often improving click-through and performance over time.

While having multiple assets is crucial for optimization, just using a single headline and description limits testing potential, and tailoring copy to an ad group matters for relevance, it doesn’t maximize the system’s ability to discover the best combinations. Experimenting with variety is useful, but the strongest lever for improvement here is supplying the maximum number of allowed assets so the ads can be tested widely.

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