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NavBoost: What The F*%K IS IT?

NavBoost: What The F*%K IS IT?

An Entry level view into what NavBooost is and what you can do to start measuring against it

Avatar for Ryan White

Ryan White

June 23, 2026

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Transcript

  1. Ranking Pipeline Initial Document Retrieval Mustang Pages are parsed Crawling

    Google crawls, fetches, and renders a page Key Signals are extracted from a page
  2. Ranking Pipeline Initial Document Retrieval Mustang Query Pages are parsed

    Crawling Google crawls, fetches, and renders a page Key Signals are extracted from a page User Searches Google retrieves documents from index based on Query
  3. Ranking Pipeline Initial Document Retrieval Mustang Query Re-Ranking Pages are

    parsed Twiddlers Crawling Google crawls, fetches, and renders a page Key Signals are extracted from a page This is where Navboost is one part of the re- ranking phase User Searches Google retrieves documents from index based on Query
  4. Ranking Pipeline Initial Document Retrieval Mustang Query Re-Ranking Pages are

    parsed Twiddlers Final SERP Result Crawling Google crawls, fetches, and renders a page Key Signals are extracted from a page This is where Navboost is one part of the re- ranking phase The result you see on a search pages SERP User Searches Google retrieves documents from index based on Query
  5. Ranking Pipeline Initial Document Retrieval Mustang Query Re-Ranking Pages are

    parsed Twiddlers Final SERP Result Crawling Google crawls, fetches, and renders a page Key Signals are extracted from a page This is where Navboost is one part of the re- ranking phase The result you see on a search pages SERP User Searches Google retrieves documents from index based on Query
  6. IT’S A TWIDDLER A Twiddler is essentially a post-ranking modifier

    component that applies targeted adjustments to a document's score after the initial ranking has been calculated. There are bloody loads of them!
  7. NavBoost is the twiddler that acts as Google’s click signal

    processing system Has the highest impact Based on stored user interaction from Search & Chrome All feedback goes back into the ranking pipeline as a quality signal
  8. In the perfect world User find relevant result Engage with

    the page DON’t Return to SERPS Finish the Objective
  9. Long Enough For: Seasonal patterns (holiday vs. non-holiday) Recurring events

    (annual conferences, holidays) Trending topics that peak and fade Stable user behavior establishment Short Enough For: Keep recent behavior more weighted Avoid degradation from old data Respond to algorithm updates/manual actions
  10. What Makes a Good Click? User Does Not return to

    the SERP There are spending time on the page It’s quick to browse and engage with It answers their question
  11. What Makes a Bad Click? Users land on page and

    goes back to SERP Clicks another result straight away Rephrases their search Not answering the search query
  12. LastLongestClick? The most important click signal It tracks most recent

    visits with the deepest engagement As its a fresh signal over a historical one Google trust this system better Usually is a user is completing the task such as a purchase
  13. LastLongestClick? Possibly the most important click signal It tracks most

    recent visits with the deepest engagement As its a fresh signal over a historical one Google trust this system better Usually is a user is completing the task then that accounts for this
  14. Using Search Console to compare your page CTR vs your

    Domain CTR Is your page CTR bringing down the Average Domain CTR? If so, look deeper as to why?
  15. You can get a slight demotion if you are not

    passing Core Web Vitals If that page is failing, look to improve that to help the user. Many bigger sites are failing due to tech stack so maximise the opportunity.
  16. When making changes be patient Treat each significant page change

    like a migration and wait 90 days This can help you better understand how users are engaging with your changes