We will use the example of a company that sells soft drinks and is wanting to understand the popularity over time of products they sell. The example code provided should be straightforward to copy/paste and adapt to suit your needs. For Google Trends we will use the gtrendsR package and then for Google Analytics we will use the googleAnalyticsR package, which we covered in our previous article – Using the Google Analytics API with R. There are R packages available for both Google Trends and Google Analytics which are pretty easy to use for those with a basic understanding of programming. If your organic traffic is beginning to slip, is this due to a drop in market interest or because you aren’t ranking so highly for your top search queries? This blog provides such an example by showing how you can overlay Google Trends data with your website’s organic traffic – this can be used to understand SEO performance. Overlaying this data with that of other sources can provide insights that would otherwise be missed. The popularity of search queries over time can be analysed to show market awareness. Google Trends is a key feature of many digital marketer’s toolkit. These days, Google is essentially the world’s sentiment barometer and the best thing about Google’s search trend data? It’s free. Unsurprisingly, studies have been carried out to forecast rising COVID-19 cases by region. For example, search trends data can recognise disease outbreaks far before they are announced by the media by seeing increases in search queries related to specific symptoms. With billions of searches each day, Google can understand a lot more about our society and the sentiment of populations than governments. We all know that Google captures a frightening amount of data about us.
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