its rating depending on the results obtained.
Posted: Mon Dec 23, 2024 5:27 am
But in reality, modern updates are very closely related to each other. Many changes require several update cycles, so their effect is often stretched out over time. Mueller says: "For example, you can update Telegram Data the ranking formula and some thresholds. The effect of the updated formula is preserved, and changes to thresholds often require another update to sort of adjust." Thus, Müller identifies two components of the ranking formula: So-called rolling updates. They quickly evaluate a site, raising or lowering
Algorithmic updates. They involve more complex calculations and work much slower. Therefore, the effect of their work does not appear immediately. And at the same time, both elements work in pairs, one way or another influencing the ratings of web resources in Google search results. Meeting user expectations is an important ranking factor It is very important to monitor and understand exactly what users expect. John Mueller emphasized: "There is no secret to long-term success on the internet.
Even if you find something that works now, the internet, what users want, and how they interact with websites are constantly changing. It is very difficult to make good, popular, and sustainable things." And while none of this is actually a ranking factor or part of how algorithms work, it is important to understand what users expect to see when they enter a search query. And this is not always related to “semantic relevance.” Mueller argues that the relevance of search rankings largely depends on users, their actions, and the mechanisms of interaction with sites.
Algorithmic updates. They involve more complex calculations and work much slower. Therefore, the effect of their work does not appear immediately. And at the same time, both elements work in pairs, one way or another influencing the ratings of web resources in Google search results. Meeting user expectations is an important ranking factor It is very important to monitor and understand exactly what users expect. John Mueller emphasized: "There is no secret to long-term success on the internet.
Even if you find something that works now, the internet, what users want, and how they interact with websites are constantly changing. It is very difficult to make good, popular, and sustainable things." And while none of this is actually a ranking factor or part of how algorithms work, it is important to understand what users expect to see when they enter a search query. And this is not always related to “semantic relevance.” Mueller argues that the relevance of search rankings largely depends on users, their actions, and the mechanisms of interaction with sites.