Post by account_disabled on Mar 13, 2024 15:16:41 GMT 10
The of a brand in the finance space seeing digital growth yearoveryear as a direct result of this phenomenon. Theyve even seen some head terms drop backwards by a couple of places while still seeing this overall. To understand why this may be happening we need to take a very quick crash course into how Google has evolved over the past two years. Keyword matching Google built its empire on a smart system one which was able to match documents webpages to keywords by scanning and organizing those documents based upon keyword mentions.
Its an approach that has been getting increasingly too simplistic in a big Anhui Mobile Phone Number List data world. The answer it seems is to focus more on the user intent behind that query and get at exactly what it is the searcher is actually looking for. Hummingbird The solution to that challenge is Hummingbird Googles new engine for sorting the results we see when we search. In the same way that Caffeine the former search architecture allowed the company to produce fresher results and roll worldwide algorithm changes such as Panda and Penguin out faster Hummingbird is designed to do the same for personalized results.
And while we are only at the very beginning of that journey from the data we have seen over the past year it seems to be crystallizing into more traffic for deeper pages. Why is this happening The answer lies in further analysis of what Google is trying to achieve. Implicit vs. explicit To better explain this change lets look at how it is affecting a search for something obvious like coffee shop. Go back two or so years and a search for this may well have presented blue links of the obvious chains and their location pages. search giant knows it. Instead they want to understand the user intent behind the query or the implicit query as.
Its an approach that has been getting increasingly too simplistic in a big Anhui Mobile Phone Number List data world. The answer it seems is to focus more on the user intent behind that query and get at exactly what it is the searcher is actually looking for. Hummingbird The solution to that challenge is Hummingbird Googles new engine for sorting the results we see when we search. In the same way that Caffeine the former search architecture allowed the company to produce fresher results and roll worldwide algorithm changes such as Panda and Penguin out faster Hummingbird is designed to do the same for personalized results.
And while we are only at the very beginning of that journey from the data we have seen over the past year it seems to be crystallizing into more traffic for deeper pages. Why is this happening The answer lies in further analysis of what Google is trying to achieve. Implicit vs. explicit To better explain this change lets look at how it is affecting a search for something obvious like coffee shop. Go back two or so years and a search for this may well have presented blue links of the obvious chains and their location pages. search giant knows it. Instead they want to understand the user intent behind the query or the implicit query as.