Conclusion: 10-13 word headlines drive twice as much traffic and are shared 1.5 times more than short headlines (under 7 words).
Longer headlines offer more information about the content of the text. This is important, because if there is no connection between the title and the content, Google might categorize the content as low quality. This probably explains why H1 titles with more than 10 words perform better (although this is not necessarily the same for all audiences and content types).
However, it's not just length that matters. When creating your H1 title, make sure to consider the key elements of a good headline. For example:
Make it unique and understandable.
Use numbers and questions.
Describe the content of the body text.
Make sure it stands out on the page.
Satisfy the user's intent.
In relation to shares, a 2019 study by Backlinko showed a similar trend. Longer titles are shared more times, and very long headlines (14-17 words) are shared 76.7% more than short titles.
Structure
After the headlines, we looked at the mobile phone saudi arabia mobile number directory structure of the texts, in particular the depth of the headings (the presence of H2, H3 and H4 tags), and the presence of lists. This information can give you some ideas on how to plan your texts to potentially increase engagement and traffic.
Analyzing the depth of the headers
First, we have taken a look at the presence of H2, H3 and H4 tags in the articles in our database:
Conclusion: More than half of the articles with a complex structure (h2+h3+h4) have a high performance.
From the above data, we can see that a three-level text structure (H2, H3 and H4) is enough to divide any article (even the longest ones) into several parts to improve its readability and visual appeal.
In fact, this approach is recommended by Google itself , which warns against condensing large blocks of text onto a page “without paragraphs, subheadings, or breaks.” John Mueller expanded on this in December 2019, stating that heading tags help Google understand what texts are about and classify them as potential solutions to users’ search queries.
Use numbers and questions
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