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Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables
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Kahenacon 2012 - Penguin Backlink Analysis with Pivot Tables

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With the latest major update recently launched by Google, the Penguin update, webmasters and SEO's have been desperately trying to figure out how to fix the issues caught by the algorithm. Using …

With the latest major update recently launched by Google, the Penguin update, webmasters and SEO's have been desperately trying to figure out how to fix the issues caught by the algorithm. Using backlink exports from Open Site Explorer, Link Detective, and the amazing power of Excel, I break down my process for analyzing a site's backlink profile and identifying problematic areas for SEOs and webmasters to fix.

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  1. Mark Ginsberg KahenaconMay 23, 2012
  2.  Announced on April 24 – official Google post Originally feared “Over Optimization Algorithm” mentioned by Matt Cutts at SXSW on March 16, 2012 – audio available here - http://www.seroundtable.com/google-over-seo-update- 14887.html Matt Cutts said at the conference: “What about the people optimizing really hard and doing a lot of SEO. … All those people doing, for lack of a better word, over optimization or overly SEO - versus those Posted by Rick Bucich making great content and great site. We are on Google+ trying to make GoogleBot smarter, make our relevance better, and we are also looking for those who abuse it, like too many keywords on a page, or exchange way too many links or go well beyond what you normally expect…”
  3.  Penguin launch followed on heels of Panda refresh, parked domain classifier bug, and previous deindexation of blog networks Webmasters were already seeing major shifts and changes in the SERPs Penguin followed on heels of infamous unnatural links email in Webmaster Tools See Andrew Shotland’s interesting theory Site usually took a dive in the rankings ~2 about the origins of the weeks after the initial email name on his blog Question of Negative SEO – can you hurt another site with offsite attacks
  4. SEO Visibility data provided by Search Metrics -http://www.searchmetrics.com/en/
  5. Historical Ranking data provided by Search Metrics -http://www.searchmetrics.com/en/
  6.  What you will need: ◦ A list of your site’s backlinks ◦ Free subscription to the awesome tool Link Detective ◦ Microsoft Excel Steps ◦ Pull external links in OSE to root domain ◦ Upload the CSV file to Link Detective and let Eppie’s magic tool go to work
  7.  Initial Steps ◦ Save the csv file as an Excel workbook – any formatting you do will be saved and will save lots of aggravation later when you reopen it and it’s all gone ◦ With one of the cells of data selected, hit CTRL + L and turn the data into a table – much more fun to work with – easier to sort and filter
  8.  Clean Up the Data ◦ Make all anchor text lowercase ◦ Decode HTML in anchor text (SEO Tools for Excel) ◦ Use nifty formula to clean up target page URL ◦ Pull linking root domain to additional column Pivot Table Row Labels Values (make sure you choose the right settings for each) Target Page Count of Anchor Text Link Type Average of PA Anchor Text Average of DA
  9.  Create a new pivot table ◦ Row Label – link type | Values – count of link type Create a pivot pie chart from the table That’s a lot of dead links!
  10.  Filter out for dead links That looks a bit better 
  11.  Create the pivot table Select any of the PA values Right click and select group ◦ Starting at 1 ◦ End at 100 ◦ By:10
  12. After removing deadlinks, we seeunnatural rise athighest spectrum ofgraph – what’scausing this?
  13. Break down each groupvia targetpage, LRD, specificlinking page, thenanchor text – canalways remove rowlabels you don’t need!
  14. Group smalleranchor textstogether
  15.  Break down backlink profiles with pivot tables ◦ Page level and domain level Do this for your competitors and compare Identify any unnatural footprints Look at your anchor text distribution – use branded anchor text, “naked” anchors, more variety and synonyms Clean it up as best as you can, hope this helps Build more high quality natural links w/ smart anchor text Give Google a mea culpa – or better yet, blame it on a competitor
  16.  Independent SEO Consultant @markginsberg www.marksginsberg.com Google+ Skype: msginsbergSample spreadsheet availablefor download -http://bit.ly/penguin-pivot

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