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Google Analytics 4 Now Reports On Performance Max & Smart Shopping



Google Analytics 4 Now Reports On Performance Max & Smart Shopping

Google Analytics is updating reports for GA4 properties with a segment of data counting traffic from Performance Max and Smart Shopping campaigns.

Data from both campaign types are now listed under a new channel group called “cross-network.”

You can access the data by looking for the cross-network channel grouping in any report that displays traffic acquisition from Google Ads sources.

Cross-network is a new channel group you’ll see listed in reports alongside other sources like Organic Search, Paid Search, Paid Social, Display, and others.

Charles Farina of Adswerve spotted and shared this update to GA4 properties on his LinkedIn page.

Advertisers who use GA4 properties to monitor landing pages can now see exactly how much traffic is attributed to Performance Max and Smart Shopping Campaigns.

Depending on your advertising goals, it may be important to isolate Performance Max and Smart Shopping metrics from other Google Ads data.


You can see the data grouped under cross-network, making it easy to determine how much traffic you’re getting from Google Ads’ newest campaign types.

Google Analytics 4 Channel Groupings For Google Ads

With the addition of cross-network, here’s a complete list of all default channel groupings for Google Ads traffic and what they mean:

  • Paid Search: Google Ads ad network type is “Google Search” or “Google Partners”
  • Paid Video: Google Ads ad network type is “YouTube Search” or “YouTube Videos”
  • Display: Google Ads ad network type is “Google Display Network”
  • Cross-network: Includes Performance Max and Smart Shopping
  • Paid Social: Google Ads ad network type is “Social”

Source: Google Analytics Help

Featured Image: Kaspars Grinvalds/Shutterstock

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Google’s Algorithms Can Understand When Sources Agree On Same Fact



Google's Algorithms Can Understand When Sources Agree On Same Fact

Google’s Multitask Unified Model (MUM) algorithm is now capable of identifying when multiple high-quality sources agree on the same fact.

This update to MUM is part of a more significant effort to improve information literacy across the web.

A Google-supported survey conducted by the Poynter Institute finds that 62% of respondents encounter false or misleading information every week.

To help people separate fact from fiction, Google is applying several changes to search results.

Here are the complete details about the updates Google announced today.

Improvements To Google’s MUM Algorithm

With improvements to the MUM algorithm, Google can understand when multiple sources on the web come to a consensus.

What does this mean for search results?


Google will now fact-check its featured snippets to see if other reputable sources agree with the information.

Pandu Nayak, Google’s Vice President of Search, explains how advancements to the MUM algorithm make this possible:

“Our systems can check snippet callouts (the word or words called out above the featured snippet in a larger font) against other high-quality sources on the web, to see if there’s a general consensus for that callout, even if sources use different words or concepts to describe the same thing. We’ve found that this consensus-based technique has meaningfully improved the quality and helpfulness of featured snippet callouts.”

Further, MUM can help Google more accurately determine when queries are better served without featured snippets.

As a result of this update, Google is reducing the triggering of featured snippets in these cases by 40%.

Helping Searchers Identify Trustworthy Information

Along with the update to MUM, Google is introducing additional features to help searchers find information they can trust.

Expanding ‘About This Result’

Google is expanding the ‘about this result’ feature with more context, such as:

  • How widely a source is circulated
  • Online reviews about the source or company
  • Whether another entity owns the company
  • When Google’s systems can’t find adequate information about a source
Image Credit: Screenshot from, August 2022.

About this result is now available in the Google app and in more languages, including Portuguese (PT), French (FR), Italian (IT), German (DE), Dutch (NL), Spanish (ES), Japanese (JP), and Indonesian (ID).

Content Advisories About Information Gaps

A new advisory in search results will alert users when there’s not enough reliable information available for a particular query.

Google shares an example of a search related to a conspiracy theory triggering the new content advisory:

Google’s Algorithms Can Understand When Sources Agree On Same FactImage Credit: Screenshot from, August 2022.

Source: Google
Featured Image: Andrii Yalanskyi/Shutterstock

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