Parameters for analyzing the semantic core of your own website
Posted: Mon Jan 27, 2025 10:58 am
The analysis of the semantic core of queries allows you to find errors and shortcomings that can hinder the quality promotion of the site. The frequency of the analysis is determined by the subject of the site, as well as the types of goods and services it offers. If the direction in which the website operates is developing rapidly, new products appear regularly, then the analysis of the semantic core should be performed more often.
Core Analysis for Completeness of Coverage
The semantic core should cover as many gambling email list problems of Internet users as possible, as well as the queries that form these problems. This is a very important rule. It is necessary to establish whether the semantic core covers:
the entire range of the client;
all the problems of the target audience.
Target audience
Source: shutterstock.com
Analysis of the semantic core for the presence of empty queries
Empty queries often end up in the semantic core, for example: "white diamond", "house as a gift". To find them, you need to:
calculate the wordstat value for the entire semantic core;
calculate the !wordstat value for the entire semantic core;
build the proportion !wordstat/wordstat;
manually check all values less than 5%.
Core analysis for relevance
The range of products on the site and the demand of Internet users are constantly changing. If the semantic core was formed a year ago, it means that it has lost its relevance. Outdated data is used for the calculation, and new requests and user problems are not taken into account.
You need to install:
does the current assortment on the site correspond to the semantics;
how long ago was the semantic core formed, has the environment changed;
have there been opportunities to find new queries (for example, a new version of Pastukhov's database).
Researching queries with high bounce rates
It happens that queries are located in high positions, but at the same time they are absolutely useless in case of a high percentage of refusals. It is necessary to identify such and eliminate the causes of problems. To do this, it is necessary:
get an export of queries from Yandex.Metrica or GoogleAnalytics;
compile a cross-section of queries with a high failure rate based on the semantic core;
study the pairs "query - entry page".
Analyzing pages with high bounce rates
You also need to analyze pages with a high bounce rate, since the problems may not be related to the "request - document" pair. The problem may be in the inaccuracies and shortcomings of the document itself.
Necessary:
get an unload of pages from Yandex.Metrica or Google Analytics;
create a cross-section of pages with a high bounce rate;
analyze pages.
Analysis of high converting queries
Queries that give a high conversion rate are very interesting for research. If you understand why such a conversion occurs, you can correctly set priorities in SEO promotion of the site.
Core Analysis for Completeness of Coverage
The semantic core should cover as many gambling email list problems of Internet users as possible, as well as the queries that form these problems. This is a very important rule. It is necessary to establish whether the semantic core covers:
the entire range of the client;
all the problems of the target audience.
Target audience
Source: shutterstock.com
Analysis of the semantic core for the presence of empty queries
Empty queries often end up in the semantic core, for example: "white diamond", "house as a gift". To find them, you need to:
calculate the wordstat value for the entire semantic core;
calculate the !wordstat value for the entire semantic core;
build the proportion !wordstat/wordstat;
manually check all values less than 5%.
Core analysis for relevance
The range of products on the site and the demand of Internet users are constantly changing. If the semantic core was formed a year ago, it means that it has lost its relevance. Outdated data is used for the calculation, and new requests and user problems are not taken into account.
You need to install:
does the current assortment on the site correspond to the semantics;
how long ago was the semantic core formed, has the environment changed;
have there been opportunities to find new queries (for example, a new version of Pastukhov's database).
Researching queries with high bounce rates
It happens that queries are located in high positions, but at the same time they are absolutely useless in case of a high percentage of refusals. It is necessary to identify such and eliminate the causes of problems. To do this, it is necessary:
get an export of queries from Yandex.Metrica or GoogleAnalytics;
compile a cross-section of queries with a high failure rate based on the semantic core;
study the pairs "query - entry page".
Analyzing pages with high bounce rates
You also need to analyze pages with a high bounce rate, since the problems may not be related to the "request - document" pair. The problem may be in the inaccuracies and shortcomings of the document itself.
Necessary:
get an unload of pages from Yandex.Metrica or Google Analytics;
create a cross-section of pages with a high bounce rate;
analyze pages.
Analysis of high converting queries
Queries that give a high conversion rate are very interesting for research. If you understand why such a conversion occurs, you can correctly set priorities in SEO promotion of the site.