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How does the Maximize Conversions bidding strategy work?

  • It uses machine learning to capture as many conversions as possible within a daily budget.
  • It aims to achieve an average return on ad spend (ROAS) equal to a desired target.
  • It automatically limits conversions that don’t align with a desired bidding strategy.
  • It’s the safest bidding strategy for all business types to optimize their bidding.
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You’ve been hired as a consultant to help an online store owner. You need to complete the implementation of conversion tracking tags into their website. How can Tag Assistant help you with this task?

  • It creates the Google Click Identifier tag (GCLID).
  • It troubleshoots unverified conversion actions.
  • It automatically creates tag code snippets.
  • It tells you which Google Analytics reports are incorrect.
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Which of the following explains why the conversion date might be different between Google Ads and Google Analytics?

  • Google Analytics can’t attribute conversions to a date for an impressioin, whereas Google Ads can.
  • Google Analytics attributes conversions to the date of the impression that caused the conversion.
  • Google Analytics attributes conversions to the day they happen, not to the date of the impression that caused the conversion.
  • Google Ads attributes conversions to the day they happen, not to the date of the click that caused the conversion.
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What do marketing mix models show advertisers?

  • They’re a way to determine the impact of a specific variable on control and treatment groups.
  • They evaluate a customer’s long-term marketing value to provide a more accurate view of performance.
  • They’re an analysis that shows the impact of marketing on a brand’s sales.
  • They use your conversion data to calculate the contribution of each interaction across the conversion path.
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How are incrementality experiments different from A/B experiments?

  • They typically require a smaller sample size and less sophisticated statistical analysis.
  • They both require a holdback group to determine which version of an ad performs better.
  • They measure the relative effectiveness of different versions of a marketing campaign.
  • They determine the impact of ads on a consumer’s decision to convert or not.
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After adding a conversion tracking tag to one of the landing pages of your company’s website, you analyze the purchasing data and find duplicate conversions.

  • How can you remove those duplicate conversions from the conversion count?
  • By modifying the event tag to capture a unique order ID
  • By toggling off the possible duplicates option at the top of the chart
  • By sorting the data by time and removing duplicate times found on entries
  • By disabling the view-through conversion data column
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If by comparing Google Ads data with offline data you find a difference in the number of sign-ups for ads between the two sources, and you believe the issue lies with when a conversion was counted, what’s the likely source of that data discrepancy?

  • It’s probably due to the fact that 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.
  • It’s probably due to the fact that 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.
  • It’s probably due to the fact that 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.
  • It’s probably due to the fact that 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.
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If a campaign falls short of its target goal, how might it be described?

  • It might be described as an email remarketing campaign with an expected lift in brand awareness of 5% and an actual lift in brand awareness of 12%
  • It might be described as a video campaign with an expected brand favorability lift of 5% and an actual brand favorability lift of 5%.
  • It might be described as a search campaign with an expected increase in return on ad spend of $50.12 and an actual return on ad spend of $10.
  • It might be described as a display campaign with an expected brand awareness lift of 10% and an actual brand awareness lift of 20%.