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You manage an eCommerce site and are creating new audiences to segment users in ways that are important to your business, like users who’ve made a purchase. Which of these is an example of a predictive audience?

  • You create an audience of users who are likely to purchase in the next seven days
  • You create an audience of users who added items to their purchase wishlist
  • You create an audience of users who made a purchase in the last 30 days
  • You create an audience of users who started checking out but didn’t complete the purchase

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In which of these scenarios would the Engagement overview report be useful if you’re using Google Analytics for your website?

  • You’re interested in seeing where users are coming from before landing on your website.
  • You’re interested in monitoring user activity as it is happening on your site.
  • You’re interested in seeing which pages on your site are getting the most traffic.
  • You’d like insight into your users’ interests they’ve express through their online browsing and purchase activities.

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When Google Analytics and Google ads are linked, how can Google Ads utilize conversion events from Google Analytics?

  • Google Ads can use these conversions to see industry benchmarking data
  • Google Ads can use these conversions to generate new keyword ideas
  • Google Ads can use these conversions to adjust and optimize your ad copy
  • Google Ads can use these conversions to optimize your bids for ad placements

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To gain insight into which pages new users open most often after they open your home page, you’ve created a new path exploration in Explore. What’s the default setting for who can see the exploration?

  • Only you can see it, but you can share it with the other users of the property in read-only mode.
  • Anyone in your property can access it and make edits.
  • Anyone in your property can access it in read-only mode.
  • Only you can see it, but you can share it with the other users of the property for them to make edits.

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What distinguishes Google Analytics 4 properties from Universal Analytics properties?

  • Google Analytics 4 properties use “sessions” as the foundation for data collection and reporting, while Universal Analytics uses “events” as the foundation for data collection and reporting.
  • Google Analytics 4 properties use “events” as the foundation for data collection and reporting, while Universal Analytics uses “sessions” as the foundation for data collection and reporting.
  • Google Analytics 4 properties use “sessions” as the foundation for data collection and reporting, while Universal Analytics uses “dimensions” as the foundation for data collection and reporting.
  • Google Analytics 4 properties use “dimensions” as the foundation for data collection and reporting, while Universal Analytics uses “events” as the foundation for data collection and reporting.

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What is something you can do with your data when you export your Google Analytics data to BigQuery?

  • You can use SQL to query your data to answer questions and gain insights into your products, users, and channels
  • You can use conversions for ad campaign bidding, and audiences to target ad campaigns
  • You can use audiences to target website experiments and test variants of your web pages
  • You can access app-specific reports such as crash data, notification effectiveness, and deep-link performance

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