Questions

An advertiser assigns a lead score in their CRM based only on the geographic location the lead came from. This geographic location score is available in Google Ads campaign reporting as a conversion value to Google Ads and a Smart Bidding signal.
If needed, how should the advertiser apply conversion value rules?

The advertiser should apply a conversion value rule based on geographic location, since this is what they care most about.
The advertiser should apply a conversion value rule based on additional information not factored in the imported value, like an audience.
The advertiser should apply conversion value rules based on all information possible, including geographic location, audiences, and devices.
The advertiser should apply conversion value rules for geographic location and also devices since they know this correlates to lead quality.

A sneaker brand wants to sell more sneakers, but feels like their target CPA/ROAS with their current audience targeting strategy is limiting their reach to additional consumers.

Which Google AI-powered solution should they use to find additional consumers who are likely to convert at their target CPA/ROAS in areas overlooked by manual targeting alone?

What’s one of the reasons that advertisers should adopt enhanced conversions for web?

What is conversion modeling?

Conversion modeling refers to the import of observable conversions into Google Ads that model only the best quality conversions.
Conversion modeling refers to the process of creating custom columns in Google Ads to model your conversion data and performance.
Conversion modeling refers to measuring marketing using machine learning when a subset of conversions can’t connect to ad interactions.
Conversion modeling refers to observed conversions and uses cookies to connect between ad interactions and conversions.

Explanation:

Conversion modeling is the correct answer because it addresses the modern measurement gap where privacy regulations, browser restrictions, or cross-device journeys prevent a direct, observable link between a click and a sale. By using machine learning to analyze historical trends and enormous datasets, Google can accurately predict the likelihood of conversions from a subset of conversions that can’t connect to ad interactions, ensuring that advertisers have a complete and holistic view of their performance without compromising user privacy.

An advertiser is looking to drive revenue and long-term growth for their business. What are three reasons why value measurement is a good fit for this advertiser? Select three.

Value measurement requires the use of predictive values to determine how likely someone is to convert.
Value measurement allows advertisers to better understand the business impact of their investment.
Value measurement allows advertisers to differentiate the consumers they acquire and optimize accordingly.
Value measurement allows advertisers to expand their targeting and uncap budgets with confidence.
Value measurement helps to reduce the advertiser’s cost per conversion for their campaigns.

An advertiser is questioning whether they should adopt enhanced conversions since they heard it includes conversion modeling. Which three of the following features are benefits you could share regarding conversion modeling? Select three.