Analysis of the semantic core for the presence of empty queries

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subornaakter40
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Joined: Tue Jan 07, 2025 4:20 am

Analysis of the semantic core for the presence of empty queries

Post by subornaakter40 »

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 at&t email list 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 Outdated data is used for the calculation, and new requests and user problems are not taken into account.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 this occurs, you can correctly set priorities in SEO promotion of the site.
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