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A marketing manager is closely monitoring their data to see how effectively their ads are driving online sales and generating leads through sign-ups. When the marketing manager compares Google Ads data with their offline data, they see a difference in the number of sign-ups in Google Ads vs. their offline data source. Assuming everything is working as intended and the issue lies with when a conversion was counted, what’s likely causing this data discrepancy?

  • Google Ads reports conversions against the date/time of the click that led to the conversion. Depending on the other data source, it might use the date/time of the conversion itself.
  • Google Ads reports conversions against a unique ID of the event that led to the click. Depending on the other data source, it might use the click of the conversion itself.
  • Google Ads reports views against the device type of the view that didn’t lead to a conversion. Depending on the other data source, it might use the date/time of the conversion itself.
  • Google Ads reports clicks against the date/time of the event that led to the conversion. Depending on the other data source, it might use the click of the conversion itself.
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Maximize Conversion can be described in which of the following ways?

  • Maximize Conversions aims to achieve an average return on ad spend (ROAS) equal to a desired target.
  • Maximize Conversions is the safest bidding strategy for all business types to optimize their bidding.
  • Maximize Conversions uses machine learning to capture as many conversions as possible within a daily budget.
  • Maximize Conversions automatically limits conversions that don’t align with a desired bidding strategy.
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What does it mean when ad campaigns are optimized by Google’s AI?

  • They use AI and machine learning technology to predict what will achieve the best conversion outcomes to optimize bidding, creative, etc.
  • They use basic tasks, then software, to automate those tasks, and the process has all the necessary data.
  • They use rules-based attribution and software to achieve desired AI-friendly outcomes to influence the process and avoid optimizing for those outcomes.
  • They use data-driven attribution to automate tasks., and the process has all the necessary data.
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To implement sitewide tagging, what do you have to do?

  • You have to turn off auto-tagging in all your Google Ads accounts that are enabled for sitewide tagging.
  • You have to make sure Google Click Identifier (GCLID) still works if using click trackers in the URL.
  • You have to use just the image portion of the JavaScript.
  • You have to make sure the tag still works by loading it within another tracking tag, like Floodlight.
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Incrementality experiments differ from A/B experiments in what way?

  • By determining the impact of ads on a consumer’s decision to convert or not convert.
  • By measuring the relative effectiveness of different versions of a marketing campaign.
  • By both requiring a holdback group to determine which version of an ad performs better.
  • By typically requiring a smaller sample size and less sophisticated statistical analysis.
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A potential customer is expressing interest in buying a new car. How would you know if this customer is in the awareness stage of their car-buying journey?

  • You’d know because they filled out an email subscription form.
  • You’d know because they called to ask about a test-drive.
  • You’d know because they viewed an online advertisement for a car.
  • You’d know because they recommended the car on social media.