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Home » Measurement Certification » You’re trying to determine how effectively your ads are driving online sales and generating leads through sign-ups, and you compare your Google Ads data with your offline data. That’s when you see a difference in the number of sign-ups in Google ads vs. your offline data source. Assume everything is working properly and the issue lies with when a conversion was counted. What would you say is causing this data discrepancy?
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You’re trying to determine how effectively your ads are driving online sales and generating leads through sign-ups, and you compare your Google Ads data with your offline data. That’s when you see a difference in the number of sign-ups in Google ads vs. your offline data source. Assume everything is working properly and the issue lies with when a conversion was counted. What would you say is causing this data discrepancy?

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  • You’d say 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.
  • You’d say 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.
  • You’d say 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.
  • You’d say 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.

The Correct Answer is: You’d say 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.

The observed discrepancy between Google Ads and offline data could be due to different conversion count methods. Google Ads attributes conversions to the time of the click that led to it, while other sources may record at the conversion time. For example, if an ad was clicked on Monday but the user signed up on Thursday, Google Ads would assign the conversion to Monday. Additionally, Google Ads might count duplicate conversions depending on the chosen conversion count setting, leading to a variance in reported conversions.

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