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Deconstructing Google’s Above-the-Fold Layout Algorithm Change

Posted by on Jan 23, 2012 in Articles by Erik Dafforn, Customer Experience, Integrated Search, SEO | 2 comments

Deconstructing Google’s Above-the-Fold Layout Algorithm Change

Last Thursday, Google announced an algorithm update designed to target pages whose above-the-fold layouts are significantly ad-heavy:

…we’ve heard complaints from users that if they click on a result and it’s difficult to find the actual content, they aren’t happy with the experience. Rather than scrolling down the page past a slew of ads, users want to see content right away. So sites that don’t have much content “above-the-fold” can be affected by this change.

Characteristically, Google declines to say exactly what above-the-fold ratio of ads to content will trigger the algorithm. Instead, it suggests that readers run their own sites through Google Labs’ “Browser Size Tool,” which is designed to show (with rather crudely drawn lines) how a site appears in various resolutions, and what percentage of the browsing public can see various parts of your content based on known statistics of browser resolution distribution. Here, for example, is a shot of the home page of the Christian Science Monitor, pulled on a screen resolution of 1280 x 800 (click to enlarge):

The Christian Science Monitor, run through Google's Browser Size tool

The Christian Science Monitor home page, run through Google's Browser Size tool

The X and Y axes are aligned with various resolutions, and the curved lines represent the percent of users who live within those resolution confines. I’ve outlined the ad locations in red — a horizontal banner at the top, and a block in the lower right. As these two areas are the only paid ad space in this particular version of the “above-the-fold” area, one would infer that the CS Monitor has little to fear from this particular algo change.

As do most sites, according to Google’s Matt Cutts, who penned the blog post: “This algorithmic change noticeably affects less than 1% of searches globally. That means that in less than one in 100 searches, a typical user might notice a reordering of results on the search page.”

JS code from the Christian Science Monitor

JS code from the Christian Science Monitor (click to enlarge)

While trying to sidestep the euphemistic glory of a phrase like “reordering of results,” many people had a common question: How, exactly, is Google determining which content blocks are ads? What about site-specific (but, perhaps, not textual) images or widgets? After all, even Google isn’t immune from snagging a few dolphins in the tuna nets, as multiple updates to Panda have confirmed.

No one’s talking specifics about the technology behind determining which content is ad-based. But my own hypothesis is that since Google is already adept at parsing through JavaScript files, it has a pretty good understanding of the links and code that go into building ad structures, versus other “similar” structures such as a scrolling panorama of images linking to “top stories,” social media assets, and other widgetry.

In short:

  1. Check your site with the tool.
  2. Try to look objectively at the content viewable by, say, 65% or so of the general population, to determine whether most people would find the layout annoying or distracting.
  3. If you have ad blocks taking up “lots” (sorry for the vagueness) of the viewable space, try to scale back, and confirm/deny your results by segmenting your organic traffic and closely looking at measurements such as path analysis and bounce rate.

Google itself took some heat from the furnace of irony in, among others, Danny Sullivan’s column on Friday. Using several screen shots taken by himself and others, he illustrated that for many queries, Google’s own search results page can, depending on the resolution (which defines the “fold”), be taken up entirely with paid advertisements.

But don’t try to confirm that with Google Labs’ Browser Size tool. As Danny’s column pointed out (and I confirmed with numerous tests), one site on which Google’s browser size tool will NOT diagnose is a traditional Google search result. So there.

 

Erik joined Intrapromote full-time in 2002 after starting as a contractor in 1999. Yeah, he’s been here a while. Currently, as President, he divides his time between overseeing the SEO department and managing organic SEO campaigns. He’s also one of Intrapromote’s Chief Big Idea Guys. Prior to working at Intrapromote, Erik worked in publishing as a development editor in the programming imprints of IDG Books and Prentice-Hall Computer Publishing so if anyone needs a keyboard shortcut, they ask Erik.

Erik led the team that was awarded Honda’s prestigious “Premier Partner” vendor award for SEO Services. He also contributed on the recently published Search Engine Optimization Secrets with Danny Dover.

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2 Responses to “Deconstructing Google’s Above-the-Fold Layout Algorithm Change”

  1. HAHA YOU are right! I tried checking YouTube as well and you cannot look at YouTube on there. They don’t want us seeing how they defy their own rules. That is a pretty slick tool though and thanks for the info on that. I bookmarked it and will make sure to use it from now on.

    The results seem strange though. According to the tool 90% of people view sites on a 950×550 screen resolution? That doesn’t seem right does it?

    Looks like I fall into the 10% category or less.

    Would be interesting if we could see the results based on Geographic areas. Such as the U.S., Canada, or other countries to see what the average screen resolution size is.

    • Kyle, thank you for the comment. I think the chart is a little confusing. I don’t think it means that 90% of the people view sites on a 950×550 screen. Instead, I think it means that if your site is built at roughly that resolution, then the site will be easily visibly accessible to 90% of EVERYONE, since 90% of people have a screen that is that size OR BIGGER.

      Does that make sense? IOW, as your site’s resolution gets smaller and smaller, the % of people who can see it easily grows according to the numbers on the chart. Hope that helps.

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