when building SEO because there is no effective tactic to improve it.
Yes. It is often easier to stick to familiar (and now unfortunately saudi arabia mobile database long outdated) tactics, even if they don’t work, than to explore new and uncertain approaches.
But in this article, we said that Google uses “user interaction” data in its ranking. Additionally, we can learn from Google Data Warehouse API leaks that Google collects data on “lastLongestClicks”, “goodClicks”, “badClicks”, etc.
In addition, NavBoost and Glue are other impo
rtant ranking signals related to user behavior in search results. scott garrett vice president marketing And Google appears to be using Chrome clickstream data in its ranking.
All of these clues lead us to the same conclusion: user behavior really matters.
When building SEO, we should focus on user behavior on the page. We can vietnam data use tools like Lucky Orange or Hotjar to do this. These tools will help us better understand how users interact with the page.
Using these statistics, we can then test various ideas to improve the overall user experience and increase rankings. In addition, testing CTR is essential for SEO.
Machine learning
Machine learning is difficult to explain, so let’s take a look at a 2013 Facebook study as an illustrative example.
“A study by the University of Cambridge in collaboration with Microsoft found that it is quite simple to use the available information from “Likes” to make predictions about the personal characteristics of followers. What is very surprising is the direct connection between “Likes” and how high people’s IQs are.”
In search, machine learning has undoubtedly identified some patterns that may not make sense, but from a machine-intentioned perspective, these patterns do. For example, if a page has blue buttons, users may like that page more. (This is just an example to illustrate the point, not based on actual research.)
There is very little we can do in this segment. But it is definitely worth analyzing, looking at the pages and trying to find some important patterns. Personally, I don’t see too many practical tips for building SEO in machine learning, but I definitely see an explanation for why some things are included in it.
User intent
User intent is undoubtedly the most important evaluation signal. At least when it comes to those signals we can control.
It wasn’t long ago that I noticed that blogs and Reddit were showing up in the SERPs a lot. A lot. And they were ranking for what we thought was a purely transactional or commercial keyword.
Analyze search intent and make sure your pages cover a variety of intents.
If there are blogs in the SERPs you are targeting, your content should contain as much information as possible. Even if it is a product category page.