What is Navboost? How understanding this system can help us learn how to rank on Google Search.

Navboost is a system we learned about in the DOJ vs Google trial. Did you know that Google stores every query that you search, along with information on what you clicked on and engaged with? I share in this video how this system is described, and also how I believe Google's ability to predict what searchers are likely to find helpful is changing.
Mentioned in this video:
Blog post on Navboost by Marie:
www.mariehaynes.com/navboost/
Marie's workbook:
www.mariehaynes.com/gemini-er...
Marie's book:
www.mariehaynes.com/gemini-er...
Pandu Nayak testimony:
thecapitolforum.com/wp-conten...
Douglas Oard testimony:
thecapitolforum.com/wp-conten...
Rand Fishkin's post on the API files:
sparktoro.com/blog/an-anonymo...
Cyrus Shepard's Moz article about Google patents involving clicks:
moz.com/blog/click-based-seo-...
Google's announcement of the March core update:
developers.google.com/search/...
Google describing how the core update involved architecture changes and bringing in new signals:
searchengineland.com/seo-take...

[@xyzzzzzzdkdk]

Thanks🎉🎉🎉❤

[@FatemehKabiri-o3v]

Thanks Marie, can you please give me the reason why you recommend us to read the DOJ?

[@Marie_Haynes]

The Pandu Nayak testimony tells in great detail how the AI systems behind ranking work - RankBrain, DeepRank and RankEmbed BERT. They talk about the role of the quality raters and talk extensively about Navboost and how user data is used. I can't stop reading this one! thecapitolforum.com/wp-content/uploads/2023/10/101823-USA-v-Google-PM.pdf

[@aqil199]

I think google try to predict user experience of a webpage, without user interaction data

[@Marie_Haynes]

I agree! I think they spent years studying users so that they could eventually do predictions without user data. The exception would be for freshly changing queries. They need users there.

[@aqil199]

Be the last click....