Post Panda Search Optimization Strategies

Mark Munroe's blog

Outbound Links as Part of a Google Panda Recovery Strategy: Panda Recovery Tip

The Panda update is about giving the user what they want.   A Google search is always a question in the users mind, even if not expressed in words.  The search might be for a product name or perhaps a business such as the name of a hotel "Hilton New York".   If you have that Hilton page, you need to know all the questions implied with that search! 

G2

'New York Hilton' is what the user typed.  However, there may be a slew of questions in the users mind:

  • Is the neighborhood safe? 
  • How are the reviews? 
  • How much does it cost?
  • Are there any rooms available for my dates?
Remember, your goal now is to stop the user from a G-bounce back to Google.   So, yes understand your users, but more specifically - understand your user coming from Google.   If your users want to see reviews and you don't have reviews for a specific hotel, link them off to Tripadvisor or find a partner who can fill that need.  

 
Also realize that your page is not the be-all and end-all to the user's search, as much as you would like it to be.   That being the case, send the user places to get more information.   It is far, far better to send them someplace else to get what they need then letting them go back to Google.  A return back to Google to select another result tells Google the searcher's question wasn't answered!

Let's face it, both SEO strategy and website strategy had been to limit offsite links.  SEO's did not want to bleed PageRank and websites were designed to keep users on their site at all costs.    It is better not to hoard your PageRank anymore and focus on a complete user experience.  

SMX Advanced Seattle - Panda Notes and Panda 2.2 prediction

This was my first SMX advanced (either as a speaker or an atendee) and I really enjoyed the level of the presentations and the interactions with other attendees and speakers.  Definitely  an advanced crowd.  It was also great to be on a panel moderated by Danny, with Alan Bleiweiss and Micah Fisher-Kirshner.

Most important thing I noted regarding Panda was Matt's announcement that the next rev of Panda is ready to roll and has been approved and that Panda updates will actually continue throughout the year.  What I heard was that the goal of the updates would be to remove more low-quality content (as with other Pandas,  the winners will be the ones that don't get demoted and thus leap-frog over the losers).  

My Panda 2.2 prediction:  Panda 2.2 will be fairly minor in that it will hit mostly low traffic sites (of course it won't be minor for them).  With Panda being driven by user behavior, Google does not have enough data on the low traffic sites to reach conclusions on the quality.  Which explains the plethora of complaints of scraper sites in the results.   My guess is that Google wants to respond to that criticism, just like Panda 2 responded to the criticism that Ehow had gotten away their rampant and excessive farming.

The other thing on my mind is the threat to sites that have not been hit.  The threat is very real and at the same time you have Panderized sites scrambling to clean up things,  you have many non-Pandarized sites launching new content initiatives which bring the risk of getting hit.   

Panda looks very much like there are very discreet levels of hits, with the minimum being about 20% and I have heard of sites losing as much as 75% of their traffic.  This means there are thresholds and certainly that there may be sites hanging out right below (or right above) a threshold.  If you are hanging below, one bad content initiative or perhaps a performance degradation  increasing your GBounce rate (bounce back to Google) could get you hit.  Likewise, focus on a just a couple of the right things and you might get rapid recovery.  

One other thing I learned at SMX was I need a better Twitter handle.  Right now it is "markemunroe" and every time I got tweeted, it went to "markmunroe".   I hope Mark Munroe thanks me.    My new SEO goal is go get more visibility then this Mark Munroe.   Oops, I just gave him a link. Better no-follow it! 

 
 

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%.  
 

Google's Panda Update: Is it all Behavioral?

On February 24th Google issued their Pandate: "Thou shall produce quality content or thou shall pay the price with lost traffic and revenue!"  What followed was vague statements from Google regarding what quality is.  In my mind, this update by Google is an admission that they cannot determine the quality of an individual page.  Why do I think that?   

As I analyzed the impact of the Panda update on various sites, I noticed (although not every page).

  • All page types were hit
  • Pages with great content were hit
  • Pages with thin content were hit
  • Pages with mediocre content were hit.

Google did not take a scalpel and slice up poor content.  They took a bazooka to the entire site.

That immediately raised the question in my mind: 

Why would Google release an update that indiscriminately hits all pages on your site?? 

The answer is simple, they cannot evaluate the quality of single piece of content.   If they could evaluate a piece of content, they would. If I had a blog with 100 great posts with in-depth analysis and 100 thin posts which regurgitate other chit-chat around the web, wouldn't it be in Google's best interest in boost my great posts and demote my poor ones?  Of course it would! 

Sure, they are good at detecting duplicate content.  That problem can be solved with raw computing cycles.  They have learned how to detect machine generated fake prose.   I am positive they have invested millions of Google dollars on the problem of content quality and the Panda update tells me they can't tell by the piece of content itself (at least not with out an unacceptable level of errors). 

How come?  Well the aspects that make up quality for a page differ from one page to the next.   Sometimes complex prose is required (for example in a medical site).  Sometimes short and sweet is best (a FAQ).   Sometimes an image or a map does the job.   

What is a quality page? 

If you look at statements coming from Google, and if you think about it logically from Google's perspective, they want to deliver pages that result's in a quality search experience.   

The quality of a page must be considered in the context of the search result that drives a user to a page.

The page must answer the question the user had in mind when they entered their query into Google.  It is very difficult to look at a page and determine whether it will result in a quality search experience simply from the content on the page. 

Consider the question:  What was the 2011 deadline to file my taxes without an extension??

The Answer, 'April 18,2011'  is a completely satisfactory answer from a content perspective.  How can Google possibly judge that small piece of text and determine it answered the searcher's  question?

 If that is the entire page, it is a quality page search result page  because it meets the need of the user who typed the question into Google.   In fact, additional superfluous content on the page, not directly related to the question (for instance related tax questions) may hurt the quality of the page because they will draw in traffic not specific to the main point of the page.  So length and depth of content does not give a clear indication of the quality of the page. 

In other cases, a wonderful page may fail because it still does not satisfy a basic need of the user.   

Consider another page about a hotel.  The users searches for the "Hilton, New York" because he wants to book a room.  That is all he wants, been there, done that, just wants to book.  He lands on a fantastically written page, great pictures, user reviews, great content.  But the "book button" is obscured behind a tab.  The user can't find it and can't book.  Great content, but a poor page; the user will go back to the search engine to find another site.  

So Google says, "I give up, I can't figure out the quality of a page by the algorithmic analysis of a page content."   

User Behavior is the Likely Answer  

There is one true indication on the quality of a site, and that how the user responds to the page based on his actions.  In the past I was doubtful that Google would use behavioral data to rank pages.  Very few individual pages have enough pageviews to reach statistical significance.  But Google has gotten around that by looking at the whole site. By aggregating sites performance data as a whole, Google is able to reach conclusions about the site, even if they can't reach a conclusion about an individual page.  It is the only thing that makes sense to me based on the analysis of the various sites I have done.   Plus listen to the recommendations coming from Google in response to Panda, it is all about the user experience.

If it is behavioral, then what metrics are they using? 

While I am quite sure they are not using Google Analytics for data (for many reasons - not the least of which is it is an incomplete data set), they still have plenty of information to go on: 

  • Did the user return and select another result from the SERP for the same search?
  • How quickly did the user return? If it was very quick, then likely the page did not meet the need?
  • Does the user return to the site? 
  • Did the user request a site be banned from the results?
  • Did the user click on the more results from this site button? 

If this is indeed behavioral as I believe, then the face and nature of the professional SEO has changed.   If your SEO isn't focusing on user experience, he is not doing his job.  

There is a lot to think about as a result of the Panda update.  Even if you haven't been affected, you could be in one of subsequent updates.  Feel free to join in with comments.   I am particularly interested in ideas related to what user data Google could be collecting to reach their conclusions. 

Coming up in my next 2 posts:

  • Is Google looking at bounce rates?
  • Beware of the back button

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! 

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