![]() ![]() If you want to examine other keywords/countries/time frames, simply pip install the library. To demonstrate this, lets examine the google searches for the keywords "Corona" and "Virus", "covid-19" in the Netherlands, Italy, Belgium and Germany starting from December 2019 up to today. I developed the python package googletrends that allows to easily examine the search results per country/region and/or per time-frame and with(out) a specific keyword. 2 Research & Prioritize Accurate keyword volume and cost per click data helps you find the right keywords to target and maximize your marketing budget. To make it a bit less creepy, lets not do this on an individual basis. The data is visualized under a graph style, letting you intuitively compare the search volume of multiple search terms over time. 1 Enter a keyword or website URL to get hundreds of relevant keyword results, tailored to your industry and location. ![]() For research, this is a great ways to rank your target keywords in order of importance. Google Trends also gives you the ability to compare the popularity of two or more keywords alongside each other. So if we know what people are searching for, it can give insights in the "common" thoughts. How to Use Google Trends Compare and Contrast Keywords. ![]() However, the "thinking" process can supported by googling about the subject. Especially when it comes to what people are "thinking" related to an issue/brand/company can be though. One of the most straightforward ways to use Google Trends is to identify the top-performing keywords and incorporate them into your website for better SEO. Some data is easy to get, others are not. You can find topics below your search term.įor example, if you search London, and choose the corresponding topic, your search includes results for topics like "Capital of the UK" and "Londres," which is "London" in Spanish.Googletrends is Python package to examine trending, spatio and temporal google searching for input queries.ĭata is al arround us. Topics are a group of terms that share the same concept in any language.
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