SEO is both an art and a science. As with any scientific discipline, it requires rigorous testing
of hypotheses. The results need to be reproducible, and you have to take an experimental
approach so as not to modify too many variables at once. Otherwise, you will not be able to
tell which changes were responsible for the results.
And although you can glean a tremendous amount of knowledge of SEO best practices, latest
trends, and tactics from SEO blogs, forums, and e-books, it is hard to separate the wheat from
the chaff and to know with any degree of certainty that an SEO-related claim will hold true.
That’s where the testing of your SEO comes in: proving what works and what doesn’t.
Unlike multivariate testing for optimizing conversion rates, where many experiments can be
run in parallel, SEO testing requires a serial approach. Everything must filter through the
search engines before the impact can be gauged.
of hypotheses. The results need to be reproducible, and you have to take an experimental
approach so as not to modify too many variables at once. Otherwise, you will not be able to
tell which changes were responsible for the results.
And although you can glean a tremendous amount of knowledge of SEO best practices, latest
trends, and tactics from SEO blogs, forums, and e-books, it is hard to separate the wheat from
the chaff and to know with any degree of certainty that an SEO-related claim will hold true.
That’s where the testing of your SEO comes in: proving what works and what doesn’t.
Unlike multivariate testing for optimizing conversion rates, where many experiments can be
run in parallel, SEO testing requires a serial approach. Everything must filter through the
search engines before the impact can be gauged.
