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HomeSEOGoogle Analytics 4 Now Experiences On Efficiency Max & Good Procuring

Google Analytics 4 Now Experiences On Efficiency Max & Good Procuring


Google Analytics is updating stories for GA4 properties with a phase of information counting visitors from Efficiency Max and Good Procuring campaigns.

Knowledge from each marketing campaign varieties at the moment are listed underneath a brand new channel group known as “cross-network.”

You may entry the information by searching for the cross-network channel grouping in any report that shows visitors acquisition from Google Advertisements sources.

Cross-network is a brand new channel group you’ll see listed in stories alongside different sources like Natural Search, Paid Search, Paid Social, Show, and others.

Charles Farina of Adswerve noticed and shared this replace to GA4 properties on his LinkedIn web page.

Advertisers who use GA4 properties to watch touchdown pages can now see precisely how a lot visitors is attributed to Efficiency Max and Good Procuring Campaigns.

Relying in your promoting targets, it could be necessary to isolate Efficiency Max and Good Procuring metrics from different Google Advertisements knowledge.

You may see the information grouped underneath cross-network, making it straightforward to find out how a lot visitors you’re getting from Google Advertisements’ latest marketing campaign varieties.

Google Analytics 4 Channel Groupings For Google Advertisements

With the addition of cross-network, right here’s a whole record of all default channel groupings for Google Advertisements visitors and what they imply:

  • Paid Search: Google Advertisements advert community kind is “Google Search” or “Google Companions”
  • Paid Video: Google Advertisements advert community kind is “YouTube Search” or “YouTube Movies”
  • Show: Google Advertisements advert community kind is “Google Show Community”
  • Cross-network: Contains Efficiency Max and Good Procuring
  • Paid Social: Google Advertisements advert community kind is “Social”

Supply: Google Analytics Assist

Featured Picture: Kaspars Grinvalds/Shutterstock



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