Using ready-made databases of minus words

There are many databases with ready-made lists of stop words on the Internet. And although some experts believe that they are universal senegal phone number library made databases and can be used by everyone. It is simply not realistic to create such a list.

Let’s look at the word “free” as an example. There are many niches where it would be inappropriate. But, for example, in the field of online learning. It can become the reason for the first contact with a potential client. Many people who want to learn something new want to try it first to understand. For example, the query “free guitar lesson”. After taking a trial lesson, a person understands whether this form of learning suits him, and then moves on to the status of a full-fledged client, paying for subsequent courses.

But more often it happens that people who downloaded ready-made stop word databases start to wonder where the budget goes. Or, after checking the statistics, they find impressions for irrelevant queries. This brings quality traffic to the site , but it is simply useless.

Combining keys into one group

To get useful traffic, and not blindly retailers and industries using click and collect waste your advertising budget, you need to collect keys as accurately as possible. Using one ad for made databases a large group of goods or services, you risk providing the user with a result that is not what he expects.

For example, if you sell musical instruments and put all your offers – “guitars, saxophones, trumpets, drums, etc.” in one ad, titled “musical instruments”, you will lose a potential client at the search stage. A person who decides to buy a bass guitar is more likely to click on the link where the title contains the name of the instrument, and not the general concept.

Poor development of the semantic core

Having successfully completed the lack data first point. You can still step on a kind of semantic “rake”. They can be in the form of a poorly developed made databases architecture.  By correctly dividing everything into groups. You can quickly determine which of the campaigns does not pay off, and turn it off or improve it.

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