Post by account_disabled on Feb 28, 2024 14:43:25 GMT 10
The phrases. It may be, for example corner sofa, price corner, living room corner, leather corner, corner sofa with sleeping function, corner sofa with a bedding container. As you can see, my results include just over , keyword phrase suggestions. It will be possible to make something out of this. You download the data and open it in a spreadsheet. Keyword auditFor me, this information is enough for now. ow we group the phrases into those related to each other. A division according to functions with sleeping function/folding function or features - leather, colorful, small or large.
Keyword planning These groups may change. It may turn out that something will not fit, there will be too much or too little. That's okay. We are now doing some preliminary research. It's about catching an idea. For example, a preliminary search of phrases may show that a color is not frequently searched for. Only a deeper Chinese Europe Phone Number List analysis in the second step will show us otherwise or confirm our suspicion. After checking a little over key phrases and assigning them to initial groups, a clear picture of what the proper structure should look like began to become clear. After phrases I was sure that this is how it would work.
I came up with an even better solution! My initial analysis gave me something like this. Subcategory analysis in e-commerceI decided to create subcategories for the corners themselves and organize the rest in the form of filters. Not all of them have found their place yet. Let's see if we can get even more out of this. Does it matter that, for example, some products will be both for the living room and with a sleeping function? NO. The idea is simply to show the user all products from a given category. It doesn't matter if they are duplicated. Of course, you also need to take care of Google's robots.
Keyword planning These groups may change. It may turn out that something will not fit, there will be too much or too little. That's okay. We are now doing some preliminary research. It's about catching an idea. For example, a preliminary search of phrases may show that a color is not frequently searched for. Only a deeper Chinese Europe Phone Number List analysis in the second step will show us otherwise or confirm our suspicion. After checking a little over key phrases and assigning them to initial groups, a clear picture of what the proper structure should look like began to become clear. After phrases I was sure that this is how it would work.
I came up with an even better solution! My initial analysis gave me something like this. Subcategory analysis in e-commerceI decided to create subcategories for the corners themselves and organize the rest in the form of filters. Not all of them have found their place yet. Let's see if we can get even more out of this. Does it matter that, for example, some products will be both for the living room and with a sleeping function? NO. The idea is simply to show the user all products from a given category. It doesn't matter if they are duplicated. Of course, you also need to take care of Google's robots.