Collect the semantic core

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Maksudasm
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Joined: Thu Jan 02, 2025 6:45 am

Collect the semantic core

Post by Maksudasm »

It should include keys - words and phrases that people most often enter into the search bar, and systems respond to them, issuing appropriate offers. Services such as Serpstat, Keyword Planner and Wordstat will help you with this work. They contain data on the product itself, as well as its cost, address of purchase, etc. In addition to the main phrases, prepare a stop list of words that should not be in your online advertising announcement.

Formation of a semantic core involves analysis of search queries, that is, you must understand how often users search for certain products using certain words and phrases in Yandex or Google.

A few words about services that will help you track search engine statistics:

Wordstat. This platform will show paytm database the frequency of searches for any phrase and its variations, as well as keys that form a single core with the request. The system will give you the exact number of impressions and searches for certain words per month.

Google Keyword Planner. To use this platform, you will need to register with Google Ads. The site will show you a large number of parameters (impressions, searches, clicks on links, etc.).

Query statistics from Mail.ru. Will help you see how often words from one semantic core are entered.

Collection of semantic core

Analyze your competitors
Competitors' ads will help you decide on the writing style and phrases that are currently popular. It is clear that you cannot completely copy the text, but you can glean the necessary information from it. Be sure to include something special in your ad so that your offer stands out from hundreds of similar ones.

To begin writing your ad, gather information as follows:

Identify your main competitors.

Enter their domains into Serpstat.

Unload the received data into tables.

Form basic phrases that have similar meanings, and then arrange them in descending order - from the most popular to the least used.


Case: VT-metall
Find out how we reduced the cost of attracting an application by 13 times for a metalworking company in Moscow
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