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Readership

AI-translated

Readership shows how many people actually consumed the published content – i.e. how many people read, opened, visited or otherwise interacted with the publication.

While circulation / distribution tracks how many copies were issued or sent out, readership shows what share of that volume converted into real readers.

Channel/activity
Owned publications/media
Phase
Out-takes
Method
Quantitative
Category
Count-based

alternative names

  • readership
  • number of readers

units

  • Count

Additions, clarifications, extended definition

Readership is key for evaluating content effectiveness as well as for planning its future distribution and format. The metric can be supplemented with information on reading frequency or depth of content consumption (e.g. time on page, number of articles read).

Interpretation

High readership shows that the publication has a stable and active audience.

Low readership may indicate weak distribution, uninteresting content or an ineffective delivery channel.

Watch out: limits and risks of distortion

  • For print media, readership is usually estimated rather than measured precisely (e.g. one copy is read by several people).
  • For digital publications, results can be distorted by technical factors (automatic loading, spam filters, cookies).
  • Email open rate is not the same as reading – it only measures opens, not content consumption.
  • When comparing different types of content, take into account the context and length of the reading experience (e.g. a short newsletter vs. a long article).

Where and how to measure

  • Print publications: reader research (questionnaires, focus groups, HR feedback for internal media).
  • Digital media: analytics tools – e.g. Google Analytics, Mailchimp, Ecomail.
  • Podcasts / video content: number of plays or episode completions.

Formulas

readership (%) = (number of readers / number of distributed copies) × 100

Example from practice

A company published an article titled "How to prepare a brand for the AI future". The article was part of a broader content campaign on LinkedIn and an email newsletter.

During the first month, the article achieved the following results:

Page views 8,400

Unique readers 6,900

Average time on page 3 minutes 40 seconds

Scroll rate (article completion) 62%

Traffic sources: 55% social media (mainly LinkedIn), 30% newsletter, 15% organic search

These data show that the article attracted not only an above-average number of visitors but also a high completion rate – suggesting the content was relevant and clear to readers.

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