Googlebot and Search Console lessons from SEO testing
by
Will Critchlow
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Googlebot & Search Console data Will Critchlow SearchPilot @willcritchlow Speakerdeck.com/willcritchlow
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Biggest channel Organic Search
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Biggest channel Biggest opportunity Organic Search
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Biggest channel Biggest opportunity Least understood channel Organic Search
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Can we improve our test analysis?
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Googlebot crawl data Can we improve our test analysis?
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Expected benefit: better test analysis
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Expected benefit: better test analysis Less than half the effect can possibly be visible in the data
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Expected benefit: better test analysis Up to ¾ of the effect could be visible in the data
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Expected benefit: better test analysis Up to 90% of the effect could be visible in the data
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Surprise benefit: we can run more tests, faster 90%
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Surprise benefit: we can run more tests, faster 90% 4 days
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Surprise benefit: we can run more tests, faster 90% 4 days Sometimes even faster!
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Two big benefits to fast recrawl 1. End inconclusive tests sooner
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Two big benefits to fast recrawl 1. End inconclusive tests sooner 2. Shorter “cooldown” windows between tests
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GSC data
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OK, it won, but WHY?
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There are only three SEO hypotheses:
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There are only three SEO hypotheses:
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There are only three SEO hypotheses:
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There are only three SEO hypotheses:
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Challenges with Search Console data
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Sampling #1
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Sampling (sometimes this is really bad) #1
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Sampling #1 Averaging averages #2
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Sampling #1 Averaging averages #2 New and lost rankings #3
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Summary
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Summary Googlebot data lets us run more tests, faster
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GSC data can explain results Summary Googlebot data lets us run more tests, faster
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GSC is not good for declaring winners Summary Googlebot data lets us run more tests, faster
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Thank you! Will Critchlow SearchPilot @willcritchlow Speakerdeck.com/willcritchlow