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Google Ads Recommends At Least 15 Conversion In 30 Days For Machine Learning To Work Better

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Google Ads Recommends At Least 15 Conversion In 30 Days For Machine Learning To Work Better

Ginny Marvin, the Google Ads Liaison, confirmed some time ago that for the Google Ads machine learning models to work faster (and probably better) Google would need a minimum of 15 conversions in the last 30 days. She added that the more conversions help, when Julie Bacchini said that you really need 50 to 100 conversions if you want this method to outperform manual strategies.

I believe she was quoting a Google presentation when talking about how to use the “Golden Triangle.” Julie explained this in a lot more detail over here which was from this Google Ads experts series recording.

Here is the golden triangle:

click for full size

Julie said you should “expect a big push for smart bidding + broad match + RSA” this year.

For that to work, you need more and more data and the ones that will do the best are those that have the most data.

Forum discussion at Twitter.




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Google Discover Showing Older Content Since Follow Feature Arrived

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Dog Astronut Google Logo

Typically, Google Discover shows content that is less than a day old, but it can show content that is weeks, months, or even years old. However, typically, Google will show more recent content in the Discover feed. Well, that may have changed with the new Google follow feature.

Glenn Gabe, who is a very active Google Discover user, noticed that since the Follow feature rolled out, he has been seeing content that is weeks and months old way more often than before the follow feature rolled out. Glenn wrote on X that “this could also be playing a role. i.e. Google isn’t providing as much recent content, but instead, focusing on providing targeted content based on the topics you are following.”

It makes sense that if you follow a specific topic and if Google Discover only shows the most authoritative types of content, it might be hard for Google to find new content on that topic. So it does make sense that Google may show older content more often for that specific topic you follow.

Here are screenshots Glenn shared:

Google Discover Old Stories Follow

Google Discover Old Stories Follow2

Have you noticed this in your Discover feed?

Forum discussion at X.



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Google Core Update Done Followed By Intense Search Volatility, New Structured Data, Google Ads Head Steps Down & 20 Years Covering Search

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Google Core Update Done Followed By Intense Search Volatility, New Structured Data, Google Ads Head Steps Down & 20 Years Covering Search

Google’s November 2023 core update finally finished rolling out this week, and it was the longest core update rollout. Then, a day later, we saw more intense Google search ranking volatility and chatter. Google added new organization structured data and also added a new profile page and discussion forum structured data, both with Search Console and Rich Results test support. Google’s crawl rate setting is going away soon. Google Search Console went down a couple of times this week. Google spoke about the SEO value of bringing back 404 pages for links. Did you see the Google patent for what appears to be SGE? Microsoft is working to bring GPT-4 Turbo to Copilot and Bing Chat. Google Ads won’t allow personalized ads for consumer finance topics in February 2024. Google Local Service Ads has new impression metrics. Google Ads released its Ads API schedule for 2024. Google is testing Gray accepted labels in the search results. Google is testing line separators between sitelinks. Google is testing an interview label for news results. Google local photos is testing hearts and other emotion reactions. Google is testing removing the cache link from the search result listings. Google’s head of search ads, Jerry Dischler, is stepping down after 15 years. And I’ve been covering the search industry and search for 20 years now. And if you want to help sponsor those vlogs, go to patreon.com/barryschwartz. That was the search news this week at the Search Engine Roundtable.

Sponsored by BruceClay, who has been doing search marketing optimization since 1996 and also has an amazing SEO training platform.

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Generative Summaries For Search Results

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Google Professor Robot

Google has a published patent named “Generative summaries for search results” which is believed to be the patent behind the Search Generative Experience launch we saw earlier this year. This patent was filed on March 20, 2023 and approved on September 26, 2023 under the patent ID US11769017B1.

Juan Gonzalez Villa posted a thread on X breaking it down, which I will embed below so you can read it.

The abstract reads:

At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

Here are Juan’s posts:

Nice write up Juan!

Forum discussion at X.



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