By Daniela Carrasco
Marketing4eCommerce Editor
ANDKeyword search volume is a fundamental metric in the world of digital marketing. It refers to the number of times a specific keyword is searched on average in a given period of time . This metric is widely used by marketing professionals for both SEO (Search Engine Optimization) strategies and PPC (Pay Per Click) campaigns.
Search volume allows you to determine the popularity and competitiveness of a keyword . By focusing on keywords with higher search volume, you increase the chances of attracting relevant traffic to your website. Tools like Semrush allow you to quickly identify a keyword’s monthly search volume, as well as other useful metrics for your keyword research efforts.
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How keyword search volume works
What is determined to be a “good amount of keyword search volume” can vary widely depending on your business, your digital marketing needs, and your goals. It’s not always necessary to target vietnam number data keywords with millions of searches per month, as that also means more competition. Finding a balance of keywords with medium and low volumes is important , especially for most websites and businesses.
In addition to understanding search volume, it’s important to distinguish between seasonal and evergreen keywords . Some keywords are searched consistently throughout the year, while others experience seasonal changes. Understanding these fluctuations will help you plan your content strategies and marketing campaigns.
How Semrush can help
When searching for and choosing keywords, it is crucial to consider the user's search intent . You need to ask yourself what a person hopes to find when they search for a certain query and create quality content that fits that intent.
Data-driven tools, like those offered by Semrush, can help you find the right keywords that reflect user intent and help you rank well in search results.
Semrush offers various tools to find the search volume of keywords. The “Keyword Magic Tool” provides accurate search volume metrics and other keyword-related metrics.