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What two benefits of machine learning help marketers stay privacy-centric?

What two benefits of machine learning help marketers stay privacy-centric?

it helps marketers develop rich, data-based consumer insights for improved consumer.
it helps marketers collect the first-party data resources used for marketing.
it helps marketers in reaching qualified audiences, even with some limited signals.
it helps marketers track performance when there’s no visible path between ad interactions and conversions.

What factors have led the ad ecosystem to increasingly look to machine learning in recent years?

Chrome announced its intent to phase out first-and third-party cookies as soon as an alternative is available.
Data scientists have begun driving machine learning projects and efforts forward.
Increasing user expectations, privacy regulation, and technology changes have been affecting campaign measurability.
Marketers began using machine learning to find patterns to predict behavior, and to quickly optimize.

An account manager is setting up assets for their Google Search campaign.

They create several sitelink assets at the account level and then create more sitelinks for their campaign as well as for a particular ad group.

Which sitelink assets will serve with ads?

The ad group sitelinks, because the lower-level assets will override the higher-level assets.
The sitelink assets served will always change based on the user’s query.
The campaign sitelinks, because campaigns include a collection of ad groups and will serve by default.
The account sitelinks, because the higher-level assets will override the lower-level assets.

Which of these three elements does an AI-powered Search campaign utilize? Choose three.

Select 3 Correct Responses

Google Ads accounts are structured in three levels.

Where can an advertiser go to change their budget settings?

Which of these are three expected benefits of implementing Performance Max campaigns? Choose three.

Select 3 Correct Responses

Finding queries that are likely to convert, because Search Ads’s targeting capability uses advertiser-provided assets as a signal for finding them. This is helpful for advertisers with sparse landing pages or websites
Factoring a wide range of signals into bid optimizations, including attributes like device and location and other signal combinations exclusive to Performance Max.
Finding more queries to convert, because Performance Max focuses exclusively on conversion and value-based bidding strategies, enabling Google AI to help grow marketers’ reach by finding more search queries to convert.
Finding audience segments you might have otherwise missed, because Performance Max campaigns look beyond manually selected audience segments
Driving additional conversions because Performance Max uses assets to create highly relevant ads in response to Search queries from people who are likely to be interested in an advertiser’s offerings