How to compile a high-quality semantic core for contextual advertising? Detailed instructions.

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Maxim Zakharov
Founder of Will Day Studio
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Types of requests
How to assemble a core correctly? Stages
Making a mindmap
Collection of bases
Improving the mindmap
Multiplication
Keyword parsing
Clustering

Commercialization

Conclusion
In this article, we tried to structure the entire process of collecting the semantic core. By following all the steps, you will receive high-quality semantics. The same email data as those collected in professional studios.

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There are two types of key phrases: commercial and informational.

Commercial;

Informational;
In fact, there are also navigational ones – this is when the user searches for a specific site on the Internet, for example, “official site of the Moscow cinema”. But for now we are interested in exactly two types, since this is the basis for optimizing contextual advertising.

Information queries are keywords that do not carry any commercial implications. They may include the following phrases: how to clear cargo through customs on your own, what is contextual advertising, how to promote a website , how to collect a semantic core, etc. In contextual advertising, you need to be very careful with information queries, especially at the first stages, since there is a high probability of wasting your budget on them. If you have little experience, you can completely exclude obvious so for a human language information queries in order to be calm about your advertising budget.

Informational queries are good for SEO promotion, but that’s a topic for another article.

If you decide to use informational queries, it’s not bad, since they also have conversion and often it’s not inferior to commercial ones, you just need to be extremely careful. Traffic for informational queries is often higher than commercial ones, so you can’t miss such a treasure trove, you need to work with it.

Here are some examples of commercial queries : buy a washing machine, website development services , gift shop Moscow, etc. Some prefixes that cell p data characterize commercial queries are presented below:

Buy;
Shop;
Price;
Master;
Price;
Pay;
Design;
Order;
Turnkey;
What is the price;
Price;
Hire;
Call;
Service;
Inexpensive;
Sign up;
Cheaper;