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Google Panda Update: E-Carnage and Changing SEO Strategies

Kaboom! The vicious Panda update from Google swept across the Internet Feb 24, 2011 as terrified SEOs, marketing managers, business owners and search agencies looked at their traffic and revenue numbers with horror and a sickening  sinking feeling in their collective stomachs. They opened their Google Analytics or WebTrends or Omniture and saw charts that looked like this trend from a popular article site: 


Un-named Article Site

The E-carnage like this was strewn across the Internet. Many bruised and battered business owners posted bitterly on the forums over the weekend about the Monday morning pink slips they would now issue. After the big boom, 100's of prominent sites and countless others were stricken by the sudden drop in traffic.  Google announced that their analysis showed greater satisfaction in in the search results.  However, the bulletin boards were filled with tales of collateral damage.  

A poll showed 40% of website owners took a hit. Check Sistrix for the list of most impacted sites.

Yes, Google had warned about some sort of “Farmer” action aimed at low-quality content (targeting the so-called content farms to which eHow has always been identified as the quintessential farmer). But this went far beyond the Farmers. Most Q&A sites, almost all the shopping comparison engines, travel, automotive, local, ecommerce, UGC dominated sites, large dynamic sites as well as small sites with a collection of completely unique content.   Surprisingly, eHow escaped the wrath of Google (for reasons I will speculate on later). 

 So why a new blog? Why AfterPanda

This is by far the most significant change in the algorithm I have seen in the 8 years I have been optimizing for search! The impact is far reaching and while it doesn’t fundamentally changes the core of a solid SEO strategy (which was always about good content), the massive long-tail strategies that have been successful for so long can kill your site. All content initiatives must proceed with extreme caution!!!

It is also much different than anything Google has done.  It is a site-wide penalty and basically an admission that they can't judge the quality of an individual piece of content.  

 So, I have much to write about. I have been studying the impact of this update, the affected sites and the ramifications for a month now. 

 Things I expect to write about in the following weeks:

  • Why it is site-wide penalty and how that should affect your tactics
  • Why Panda is either partly or completely a behavioral-based update 
  • Panda has force the convergence of usability and SEO  (finally!)
  • Analysis of various sites that have been hit and why
  • Why certain industries were hit harder than others 
  • How bad titles can cause a Panda hit
  • What is the difference between quality text  and a quality search result page
Be back soon! 

Google's Above the Fold/ Page Layout Algorithm

Google's above the fold algorithm (a.k.a  page layout algorithm) went live last week and while it has not caused Panda-like repercussions, it still has had a significant impact on many sites and it is certainly important to any site that has been hit (of which I know of at least one).   Some interesting things to note:

  • This really confirms that Panda did not satisfactorily do its job as based on user metrics.  If Panda was 100% effective, this update would not have been necessary.   Perhaps some sites were slipping through Panda because of the brand protection.  More likely some sites have figured out how to avoid Panda (even though they are deserved).   Or perhaps there were too many false positives and Google is looking more towards this update to catch certain sites  that would slip through if Google will relaxed Panda a bit.  Interestingly enough, Google ran a Panda update yesterday (1/24) and I have been hearing of Pandalized sites getting boosts.  I think perhaps a Panda update just a few days after the Page Layout update is not an accident.
  • Like Panda (and really like most Google updates) this is geared to improving the searcher's user experience. The user searchers, goes to a site and gets what they want visibly on the page  (as opposed to a page where the content is obscured by ads). 
  • Unlike Panda. this does not appear to be based on user
    behavior,
    but on the actual page.   According to Google,  once enough pages have been crawled that address the issue, the site penalty or dampening will be reversed.    This makes addressing this  issue if you get hit much easier than Panda.  With Panda, you make your changes and wait for Google to collect enough positive signals over time to overtake the negative signals. And those signals (which I have theorized on) have never been stated by Google.  In this case, Google has stated exactly what the issue is. 
  • Why would Google be so open about what this change is about as opposed to mysterious Panda?  Simple - if Google thinks they can be manipulated, they will be vague, if they think a change is beyond manipulation, they will be more open.   

Future Implications

Notice that Google is calling this the "Page Layout Algorithm".   The ability to reliably analyze page layout will likely be reflected in other updates in the future, perhaps degrading content and links below the fold. (Of course position of content always has had an impact, but the Page Layout Algorithm could make it even more significant and more accurate).   And link position has been discussed in regards to Google's Reasonable Surfer algorithm (which they applied for a patent last year).  The Reasonable Surfers algo basically values links on the likelihood of getting clicked.  To implement that, you need to understand page layout so this very well could be a step in that direction (which could shake up the SEO industry again).  

Never dull with Google these days!

Google's Freshness Update - Impact and Implications

Google Freshness update hit the search engine result pages (SERPs) a couple of weeks ago Google's Fresh Factorand like any major update (especially in the wake of Panda) created stress and anxiety for websites everywhere as fear of another search apocalypse started flooding the SEO forums. The particular angst inducing statement from Google was specifically:

“today we’re making a significant improvement to our ranking algorithm that impacts roughly 35 percent of searches and better determines when to give you more up-to-date relevant results for these varying degrees of freshness”

Nothing makes website owners more nervous then when Google announces improvements!  

35% certainly sounded like this would have result in Panda-like tremors – but as the traffic reports and discussion started hitting the Internet, it seemed more like a ripple as opposed to another quake. So what is going on here?

When analyzing Google algorithm changes  (and what Google will do in the future), I like to put on my product management hat to try and understand exactly what problem they are trying to solve as it pertains to their product - the organic search results.

Problem number 1: When users are searching for trending/hot topics, content relating to that hot topic would get very little or no coverage in the standard organic results on the SERP. Most likely it would show up in Universal Search of the SERP in the form of news, but the other 10 results would most likely have no content related to the search – essentially giving irrelevant results. Strong, high PageRank pages would dominant over the newer, fresher, more relevant content which yet to garnish any links or reputation. So for instance, if you searched for “NBA Talks” you would see organic results that looked like this:

· NBA.com – would probably head the list because of high page rank and strength for the keyword “NBA”. Very poor relevance.

  • Articles talking about the pending NBA lockout from many months ago – this would seem relevant based on the keyword search and likely had strong PageRank and inbound links since they had been around a while. However, this is not what the user is looking for and a poor result for Google.
  • Very little new content relevant to the breaking story.

So this part of the update seems to be all about news and trending search terms. By looking at new content being indexed, news content along with dramatic jumps in search volumes for specific phrase, Google can conclude that a certain phrase needs fresh content. In this case, I believe fresh means newly, indexed pages relevant to hot topic. So now if you search for NBA Talks now, you see this:

NBA Talks SERP

Wow – forget about the old, high PageRank authoritative content. The results are dominated by new content. In fact 100% of the first page result are fresh and in this case news content. This is a far superior result for than old algorithm which mostly showed older content.

However, search for “NBA”, you see none of that fresh content in the results. Clearly, this part of the Algorithm impacts very specific searches related to trending news, but only for search terms clearly relevant to the trending term.

Problem #2: For certain type of queries, a good result is dependent on freshness. Google specifically gave the example of reviews. If you are searching for reviews, you want to see recent reviews which pertain to the latest version of a product or represent the current state of a business. However, Google’s algorithm returned results based on the authority of the pages which would surface the most relevant content from the strongest pages. The content was relevant to the explicit search term (for example ‘iPad Review’). However, most users probably want to see iPad 2 reviews, even though they didn’t explicitly type that in the search box.

In this case, fresh content can certainly mean long-standing pages that reflected the latest information via updates as opposed to the first case I discussed which appears to be news specific. In analyzing the search results, it still seems that strong, authoritative, content dominates, but with perhaps a tweaking based on freshness.

With a little help from SEMRush, I am able to compare the changes in the search result for ‘iPad Reviews’, pre and post Freshness change.

  • Before the change – the top ranking page was an Engadget review for the original iPad 1 from nearly 2 years ago. Probably not the review most users were looking for.
  • In fact, the entire first page of results was dominated by old reviews.

Now, after the change, things look quite a bit different.

  • This number 1 slot has been replaced with an iPad 2 review, also from Engadget, indeed a much better result.
  • The number 2 slot has been replaced with an iPad summary page from CNN with a link to an iPad 2 review (way down below the fold). This is not really a good result (it would have been better to list an iPad 2 review first). It shows freshness in action, but also that high PageRank, authoritative pages can still outrank the more relevant page (with pinch of freshness mixed in).
  • Number 3 is still an iPad 1 review (very authoritative with 396 linking root domains, so it is trumping freshness).
  •  Number 4 is actually a Kindle Fire review which mentions iPad – very fresh (48 minutes old as I write this) – and is an example of how trending stories can make it into the result even if the search term is not the hot-topic.
  •  Slot 6 is another iPad 2 review.
  • However, slots 5 and 7 are really poor results, search result and tag pages, yes, the type of pages everybody has been told are bad and should be de-indexed in the wake of Panda.

Overall, there are better results for the user looking for up-to-date information with a couple of iffy pages mixed in where freshness is trumping quality. Google still has work to do on this.

So what are the implications and how do they affect our SEO strategies going forward? These are my initial thoughts, however since it is in the early days of this update – it will take some more time to reach final conclusions:

  1. News and timely content will get more visibility. Now, besides showing up in Universal Search and on the News tab, the first page will be dominated by news content. Keep in mind though, that this will not be for general searches but for searches very specific to trending and hot topics.   Therefore, a shift to more of a news focus should result in additional traffic due to this increased visibility.   It still remains to be seen if, new, fresh content will be able to retain strong rankings over time or whether they will fall back.  
  2.  Fresh content is getting more visibility for general searches too – this includes updated content as opposed to just new pages.  The impact is more subtle and does not seem to dominate the SERP like the first case. 

    How much content needs to change before it is viewed as fresh? Too soon to tell but you can bet that Google has put in checks to try and stop the obvious gaming that is probably already in motion (such as randomizing sidebar text snippets or swapping out lists of links). I am not saying these techniques won’t work or you shouldn’t try them … just that if they do work they might not be sustainable as opposed to legitimate fresh content.

  3. Google is likely categorizing searches to determine whether freshness is important to the quality of the page. A website strategy should focus on freshening content on pages that need fresh content to improve the page (such as review pages).
  4. I am sure Google will be tweaking this. The PageRank Algorithm did a decent job of making sure that worthy pages made it to the top, even if not timely. I have seen some poor results making it into the search results strictly on freshness.
  5. In general, the impact of this update does not seem nearly as severe as Panda – however this one might whittle away at your traffic over time if the fresh content tends to slowly take up positions.
  6. This does not mean that site authority and linking programs are not as important as ever. In most case, sites showing up all have strong linking profiles.

In all, a very interesting update form Google and one I am sure they are not finished with.  I'll continue to analyze this over time to see the longer term impact.

Panda Metrics: It Isn't TIme on Site or Bounce Rate

Wow - AfterPanda comes alive again!   With the Panda iterations continuing to come, recoveries few  (although I have seen  some) and dramatic new changes coming to Google (Freshness update) - it is time for me to start blogging again.  
Before getting on to new stuff, I wanted to pick up on where I left off.  I have played around on a few sites with a package called Clicky.  I like Clicky because they have redefined bounce rate as a visit of <30 seconds, better than the single page metric usually seen in packages like Google Analytics.   This is definitely a better bounce rate.

Most likely, if you are decreasing your bounce rate, you are improving the user experience and satisfying your users more often.   Most likely, but not necessarily.   And even if you are getting a bit better, it does not tell you if you are good.  Remember, Google is not looking at your bounce rate or time on site.  They are looking at the G-Bounce (the return to the search result and subsequent actions when the user returns).  

None of the numbers in your analytics is as important of understanding why your user got to your site, what question they asked and what you need to do to answer that question.   I am not saying you shouldn't try and improve those numbers ... you should.  But it is not enough.   You need to know what Google knows.   More on how you do that in my upcoming posts ...

Bad Metrics - Bounce Rate, Time on site and Google Panda Recovery Metrics

Bounce

Recovering from Panda is all about improving the metrics that Google uses to measure satisfaction with your site.   So, as you have set forth on your aggressive Panda recovery plan (or Panda inoculation plan if you have not been hit) - you naturally are trying to figure out what to measure.    The metrics that everyone is obessing on is 'Time on Site' and 'Bounce Rate'  as they are reported by  Google analytics.   However, these metrics are extremely flawed and if you are looking at these measures it is important to understand the flaws.

Time on Site - The real time a user spends on your site is an obvious and clear measure of the success of your website.   However there is a fatal flaw with the way Google reports Time on Site.   Google does not include the last page of a visit (since it has no way of telling when that page view ended).  This, of course, excludes bounces as well, - so Google does not include bounces when caclulating average time on site.    

I was talking to somebody on a Pandarzied site that had a average time on site of 4:30 - how could they possibly be hit he wondered?  I explained - that 4:30 only includes your happier users, users who liked what they saw in their first page view and decided to click on something.  

Bounce Rates -  Bounce rate is yet another flawed metric.  A bounce rate as measuered by Google Analytics is simply a single page view visit.   Perhaps a user  landed on your site,  did not like what they saw and bounced right back to Google in 15 seconds - or perhaps they stayed 90 seconds reading the great content on your page .  Both those visits would be counted as a bounce.   To make matters worse, on-page JavaScrupt or Ajax interaction would not negate a bounce either since they don't fire another page view.   So again, we have a highly flawed metric that is being obsessed over by SEOs, web devlopers and site owners.

Better Metrics - In my next post, I look at other otpions to the standard way of measuring these 2 critical metrics.  

Google loves big brands! Why were they spared from the Google Panda update?

While there has certainly been a haze about the factors  behind the Google Panda update, one thing has been pretty clear,  Panda has not aimed its fangs at Big Brands!  In fact, the brand domains have benefited, as their pages bubbled up above the Panderized pages that have been demoted.   So what is going on?   I am quite confident that there is no line of code in the bowels of  Google source code  that reads:

  "If domain  = "Amazon or Ebay or .... then don't  Pandarize".   

Why did the brands deserve inoculation while so many other sites, specifically non-brands, were  so devastated?  Why does Google love brands? 

Google Panda Spares Big Brands

So what is it about Brands?  Do they make all the great quality pages and  do they all provide a quality search user experience (or more specifically better than the non-brands that got hit by Panda).  IMHO, that is not the case, many branded sites provide no better than average (and in some cases poor) user experiences.  

I know of at least 2 companies that own very similar sites in the same niche and I have done detailed comparisons between the brand and the non-brand.  In each case the brand was spared and non-brand got Panderized, yet the sites were substantially the same. 

I have seen some opinons on the forums that reputation provide protection (links and social mentions)? I think not.    The concept of reputation from Goog has been around since the onset with PageRank  and besides,  many sites with high PageRank got panda-handled quite harshly.    Plus, if sites were penalized for not having a reputation, how would the build the search traffic required to create a reputation?

That really just leaves behavior and to me the Panda inoculation provided to brands is strong evidence that the Panda is behavioral.   When you think about how user behavior is different with a brand,  it provides strong clues to what is going on with Panda. 

A brand brings a certain level of trust and prior knowledge.   It means users will give it a chance.   If I click on a TripAdvisor result, I won't abandon if the page is slow to respond.  I'll wait because I specifically chose the site from result based on it's brand reputation. However If I randomly landed on FancyDancyVacations.com which I had never heard of beforehand the page was slow to load, I'd be gone in second.  

If I was looking for hotel reviews, and FancyDancy did not make it easy for me to  find it - I'd be gone.  Not so with TripAdvisor.  They are known for their reviews and I would  find them even if it was a messy page loaded with links and text.   So this means with the brand, users are less likely to do a G-Bounce to find another site.   

Another behavior that is likely different from SERP is click-through rate from search.  Google certainly know average click-through rate.  Users are more likely to click through to the brand.  If I am searching for a good price and information on Call of Duty and I see Amazon in the result,  I am going to click through at a higher than average rate.   What does that tell Google?   You like the result!   Google also knows your search history (in many cases).  Have you been to that site before and then decided to click through again?  That is another signal that that tells Google you like that site.   

Ok - so Google loves brands.  Your site is not a brand.  So become a brand.  Yeah - right - easy for me to say .. and not so easy to achieve.

 So what is non-branded site to do?    You need to inspire brand-like behavior from search.   Your site has to be better than your competitors and the brands, faster, cleaner pages with very focused content and very well optimized pages.  I start getting into more specific recommendations in my next post.  And guess what, by inspiring brand-like behavior, you are more likely to become a brand! 

Beware the Back Button and Block Button: Is this the Panda 2 Signal?

Shortly after Panda went out, google rolled their "Block all results" link in the SERP after a user uses the back button.   

Beware the back button

What a clear, explicit signal to Google that a user was dissatisfied with a search result!!! You just cannot let this happen.   I think this was likely a signal that was integrated into Panda 2.  

Panda went out in February, before they deployed this feature.   Lot's of people grumbled about eHhow not getting hit.   A couple of weeks later in early March, they implemented the site blocking as part of their standard search results (previously it was a Chrome extension) .  And then Panda 2 hits in April  and a lot of additional site get hit in Panda 2, including eHow.   Nobody reported coming out of Panda with the update,  so I doubt it was a recalculation of the metric that got sites hit with Panda 1.  I think it was the introduction of a new 'negative' signal and based on the timing, a good chance this was it (as well as some other possible signals).

So when the user does his G-Bounce back to SERP, bad things can happen.  The user might select another result, (in effect, telling Google they were not satisfied with the result) or they could, heaven forbid, click the block this site button.   In the future, we will see Google's +1 button (shall we call it a G-Like?).  This will add in an explicit positive signal on the SERP, but it is not widely deployed yet. 

I am going to discuss extensively the search user experience in future posts,  but the quick list:

  • Answer the user's question that they typed into the search box 
  • Make sure they can find the answer to their question with clean design
  • Avoid populating a page with irrelevant or unfocused content (no more content for content's sake)
  • Do not piss-off your user with over-aggressive advertising 
  • Keep the your site up and responsive.  When your site is down on, your G-bounce rate is 100%.