Studies

Each study uses data we collected ourselves, with the sample, the method and the limits on the page, and a CSV you can use.

All studies

How to read our studies

Every study starts with a plain question, such as "do old domains keep their authority?", and answers it with one dataset that we gathered on a stated date. We report counts and medians rather than averages, because SEO numbers are very uneven: a handful of domains with huge link profiles can drag an average far away from what a typical domain looks like.

Each page has the same parts:

  • The short answer, in a sentence or two, with the numbers that support it.
  • The data: charts and tables of aggregates. We never name the domains or sites in a sample.
  • Method and limits: where the data came from (registrar records, DNS, live page checks and Semrush's U.S. database), how big the sample is and what it can't tell you.
  • A CSV of the aggregate tables, so you can check the arithmetic or reuse the numbers with a link back.

What our samples are, and aren't

Our samples are real but not random. Most come from one owner's portfolio of long-held domains, so they describe old, idle and expired domains well and the whole web less well. When a group is too small to say much, we say so on the page. Read more in how we research, and see the SEO statistics page for findings from other people's published studies.

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