Statistics without external analytics
Which articles draw readers in, and which slip by unnoticed? The site answers this on its own - without external analytics, without cookies and without tracking people. The editors gain knowledge, the readers keep their privacy.
Sigma measures what an editorial team actually needs: which articles attract visits, which hold attention to the last paragraph and what returning readers reach for most often. You see the results in the panel next to each article - without logging into a separate tool, without exports and without another subscription on the cost sheet.
Decisions based on facts
The publishing plan stops relying on hunches. You see which topics build reader loyalty and which bring only momentary traffic - and with every week the accuracy of your next publications grows. It is an advantage money cannot buy: it grows out of your own site's data.
Lists that arrange themselves
The real power of the measurements lies in content lists. You set an article section with a single field: newest first, most popular, most read to the end - or “most interesting for the reader”, which offers every returning person a different selection. The home page takes care to always have something new to propose.
- Popularity - which articles attract visits
- Readership - which hold attention to the end
- Interests - what to recommend to returning readers
We stopped guessing what to put at the top of the home page. We set it once - the list takes care of itself.
Privacy as standard
Articles are counted, not people. The site builds no visitor profiles, attaches no analytics cookies and sends no data off your server - so it needs no analytics consents and no extra banners. The reader receives the content without an interrogation at the door.
At a time when trust in brands is harder and harder to earn, a site that respects privacy is a real advantage. You can communicate it openly - and you have the substance to back it up.