Dzen: Article Length and Read-Throughs
Two authors publish articles on the same day: the first has a text of eight thousand characters and a twenty percent read-through rate, the second has one and a half thousand characters and almost sixty percent read-through. At first glance, it seems that shorter means more effective, but such a conclusion is deceptive and ignores why this metric exists at all. A short text almost always gives a high percentage simply because it is physically easier to scroll to the end, not because it is more interesting than a long piece of material.
Why text length directly affects the read-through percentage
The read-through percentage is calculated relative to those who opened the article, so the smaller the text volume, the fewer points at which the reader can lose interest and close the material prematurely. Does article volume affect read-throughs? The answer is unequivocally yes, because a long text physically provides more opportunities for attention to drop at each individual paragraph.
But short materials are not automatically more effective than long ones. The volume of an article's text and the Dzen read-through percentage should be evaluated along with other metrics, including absolute reading time and depth of view, otherwise the decision to shorten all articles for a good percentage might reduce the overall value of the channel for the audience.
Short or long Dzen articles read-throughs: what practice shows
There is no clear winner between the formats — short and long texts solve different tasks and work with different audiences.
Pros and cons of the short format
A short Dzen article almost automatically gets a high read-through percentage due to its small volume, but it is limited in the depth of topic disclosure. This format is well suited for news notes, short life hacks, or quick reviews without extensive argumentation.
Pros and cons of the long format
A long Dzen longread generally gets a lower read-through rate, but it keeps the reader engaged for a longer absolute time and allows for a more complete disclosure of the topic. This is especially important for expert articles, instructions, and analytical reviews, where the audience seeks depth, not brevity.
How many characters are needed for different types of publications
There is no single number of characters suitable for every topic — the volume should be chosen for the specific task of the text.
For a news format, one and a half to three thousand characters are usually sufficient to convey the essence of an event without artificially stretching the text with filler. For expert and analytical articles, the volume often increases to five to ten thousand characters, because the topic requires detailed explanations, examples, and a structured analysis of several aspects of the issue. Practical guidelines can be conveniently summarized in ranges: up to two thousand characters for news and short tips, three to five thousand for most practical articles, and over seven thousand is justified only for a deep analysis of a complex topic.
How to maintain attention in text of any length
The balance between text length and read-throughs relies on structure, not on artificial material reduction. Breaking down into subheadings, short paragraphs, and logical transitions between blocks allows you to keep the reader's attention even in a voluminous text.
An effective technique, regardless of article length, is to distribute interesting details throughout the text, rather than concentrating all valuable information in the first paragraphs. If all interesting material is concentrated at the beginning, the reader loses motivation to scroll to the end regardless of the publication's volume.
Dependence of read-throughs on text length in different niches
The relationship between volume and read-throughs manifests differently depending on the channel's topic. In entertainment content, the audience often prefers short, fast-paced formats, while in niches like finance, law, or technology, readers are willing to spend more time on a detailed analysis of the topic.
Relying on average read-through figures across the entire platform is pointless — it's more correct to analyze the statistics of your own channel and compare publications of similar volume within one topic, rather than different formats with each other.
Comparison of approaches to working with text volume
Reducing text to the minimum necessary volume is the fastest way to increase the read-through percentage, but this approach risks losing the depth of the material and reducing the value of the article for an audience that was looking for a detailed analysis of the topic.
Maintaining an expanded volume while working harder on the structure requires more effort at the writing stage, but yields a more sustainable result: the text remains informative, and the reader does not lose interest thanks to a clear breakdown into semantic blocks.
A combined approach — testing different volumes for specific channel categories — takes more time for analytics, but over time forms a clear understanding of which length works best for each type of content on that particular channel.
Risks of artificially shortening or stretching text
Artificially shortening an article solely for the read-through percentage without considering the content reduces the real value of the material for the reader. The metric formally improves, but the audience eventually notices the superficiality of the content and returns to the channel less often.
The opposite mistake — stretching a short topic into a longread through repetitions and general phrases — leads to the opposite effect: readers quickly notice the lack of new information and close the article earlier than with an honest short format.
Recommendations for safe volume selection
Before choosing the text length, it is worth honestly assessing how much information is actually needed to cover the topic, and selecting the volume based on the content, not the other way around. Smooth testing of different formats within one channel category provides more reliable data than a single, abrupt change in the volume of all publications at once.
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