Selecting the most prioritized region for promoting products or services in search engines through semantic scoring using statistical methods
Abstract
The article proposes a scoring model for ranking search queries. To conduct the scoring, coefficients for query popularity, commercial intent, and competitiveness are introduced. Popularity is assessed based on basic and phrase frequency over the past 24 months. Commercial intent or commercialization of the query is evaluated based on the projected budget in "Yandex.Direct" and the cost per click. Competitiveness is assessed based on the number of documents for the query, the number of main pages involved in ranking for the query, the number of Title tags containing the query's keyword, and the number of words in the query. Through this scoring method, SEO optimizers and entrepreneurs can identify business areas and/or regions that can ensure maximum economic results.
About the Author
A. A. Lyubakov
Samara State University of Economics
Russian Federation
Russian Federation
Alexander A. Lyubakov – graduate student at Samara State University of Economics.
Samara
References
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Review
For citations:
Lyubakov A.A. Selecting the most prioritized region for promoting products or services in search engines through semantic scoring using statistical methods. Vestnik of Samara State University of Economics. 2024;(10):54-58. (In Russ.)
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