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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?

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?

Last Updated on 1 week by School4Seo Team

Google Ads reports conversions against the date and time of the click that led to the conversion, while other data sources might use the date and time of the conversion itself, causing a discrepancy.

  • 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.

Explanation: Google Ads reports conversions against the date and time of the click that led to the conversion, while other data sources might use the date and time of the conversion itself, causing a discrepancy.

This difference in attribution timing leads to discrepancies. Google Ads attributes conversions to the initial click, regardless of when the actual conversion occurs. Other systems may attribute conversions to the date the conversion event happened. This difference in timing can create a mismatch between data sets, especially when there’s a delay between the click and the conversion. Understanding this attribution difference is crucial for accurate data analysis.

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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