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Discovering SEO Opportunities through Log Analysis #DTDConf


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How to use your log files data to identify SEO opportunities? Take a look at the tools to use and questions to task to do a relevant analysis.

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  • @David Iwanow thanks David :)
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  • Bonjour à tous, je suis étudiant en Management . Dans le cadre de mon projet de fin d'études je dois effectuer un mémoire de recherche pour mon PFE . Le sujet ; Rôle des Influenceurs sur les réseaux sociaux auprès des consommateurs L’objectif de ce questionnaire est de définir le comportement des internautes face au marketing d’influence Cela ne prend pas plus de 3min, je vous remercie d'avance de votre aide. Le lien du questionnaire :
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  • wonderful as always, does remind me I need to get back into log analysis
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Discovering SEO Opportunities through Log Analysis #DTDConf

  1. 1. #loganalysis at #DTDConf by @aleyda from @orainti Discovering SEO Opportunities through Log Analysis
  2. 2. #loganalysis at #DTDConf by @aleyda from @orainti “SEO crawling simulations are great, but there’s 
 nothing like seeing your site “real” search crawling behaviour” #loganalysis at #DTDConf by @aleyda from @orainti
  3. 3. #loganalysis at #DTDConf by @aleyda from @orainti This can be done w/ Web server log files, that record 
 all requests, including search bots accesses and errors
  4. 4. #loganalysis at #DTDConf by @aleyda from @orainti They’re critical to monitor Web activity - Eg: Structural changes or validating GSC errors you can’t replicate You can’t find these URLs in your own crawls
  5. 5. #loganalysis at #DTDConf by @aleyda from @orainti I’m (sadly) not Morpheus, however today I’m going to show you what’s beyond search crawling simulations Aleyda Solis * International SEO Consultant & Founder. * Conference Speaker in +100 Events in +20 Countries. * Author “SEO. Las Claves Esenciales.” * Blogger in SEL & SEJ. #loganalysis at #DTDConf by @aleyda from @orainti
  6. 6. #loganalysis at #DTDConf by @aleyda from @orainti Getting initial access will be the hardest part: You will 
 need to coordinate with your Server Admin or DevOps Tip: Become their BFF to make your SEO life easier
  7. 7. #loganalysis at #DTDConf by @aleyda from @orainti You can use the terminal to access them 
 directly from your Web server Command line in Terminal
  8. 8. #loganalysis at #DTDConf by @aleyda from @orainti You can also export & go through the data with a code 
 editor, however this might be unpractical for analysis Sublime or Brackets
  9. 9. #loganalysis at #DTDConf by @aleyda from @orainti For “manual” analysis you can also import it into Excel, 
 that will facilitate data organisation and filtering
  10. 10. #loganalysis at #DTDConf by @aleyda from @orainti To make analysis practical for larger sites, there are 
 log monitoring solutions with dashboards & filtering Use Loggly or Splunk
  11. 11. #loganalysis at #DTDConf by @aleyda from @orainti And now also SEO focused log analysers that directly 
 offer reports and segments to facilitate SEO analysis Use Screaming Frog Log Analyser, OnCrawl
  12. 12. #loganalysis at #DTDConf by @aleyda from @orainti Some of them can be directly integrated to the
 sites whether with dedicated or shared hosting SEOlyzer
  13. 13. #loganalysis at #DTDConf by @aleyda from @oraintiDeepcrawl You can also use SEO crawlers integrating log files 
 data along other data sources to show existing gaps
  14. 14. #loganalysis at #DTDConf by @aleyda from @orainti Let’s see some of the most critical SEO insights we can get through log analysis by asking certain questions… #loganalysis at #DTDConf by @aleyda from @orainti
  15. 15. #loganalysis at #DTDConf by @aleyda from @orainti Are search bots effectively accessing & frequently 
 crawling your most important pages to index & rank?
  16. 16. #loganalysis at #DTDConf by @aleyda from @orainti Do the same by checking which are your most 
 crawled site areas and categories
  17. 17. #loganalysis at #DTDConf by @aleyda from @orainti SEO log analysers will also allow to specify any filtering criteria to obtain crawl behaviour for any site section
  18. 18. #loganalysis at #DTDConf by @aleyda from @orainti What’s the share of your crawl activity 
 going to error or redirected URLs?
  19. 19. #loganalysis at #DTDConf by @aleyda from @orainti Are your meaningful pages returning a 200 OK HTTP status or are they showing errors?
  20. 20. #loganalysis at #DTDConf by @aleyda from @orainti Are you returning any unintended redirects? To which bots? Is this behaviour consistent over time?
  21. 21. #loganalysis at #DTDConf by @aleyda from @orainti Are you returning different HTTP status 
 for the same URLs?
  22. 22. #loganalysis at #DTDConf by @aleyda from @orainti Are there any gaps between your own crawlings 
 vs. the log file data? Are there any orphan URLs?
  23. 23. #loganalysis at #DTDConf by @aleyda from @orainti Is your crawl budget wasted in not meant to be 
 accessed, non-relevant resources or non-indexed URLs?
  24. 24. #loganalysis at #DTDConf by @aleyda from @orainti  Which are the largest and slowest crawled pages? 
 Can they be optimised for speed? 
  25. 25. #loganalysis at #DTDConf by @aleyda from @orainti Do you have non-search engines bots consuming 
 your resources that you need to delay or block? 
  26. 26. #loganalysis at #DTDConf by @aleyda from @orainti Be mindful of those “spoofing” search crawlers
 which you can validate too
  27. 27. #loganalysis at #DTDConf by @aleyda from @orainti What's your desktop vs. smartphone googlebot crawl share? Verify if you’re in the mobile first index
  28. 28. #loganalysis at #DTDConf by @aleyda from @orainti#loganalysis at #DTDConf by @aleyda from @orainti And this is only the start
  29. 29. #loganalysis at #DTDConf by @aleyda from @orainti#loganalysis at #DTDConf by @aleyda from @orainti Thanks!