How to extract data from Google Analytics 4 This time, we will use Google Analytics 4 to extract data for each landing page. *Landing page: The page that users visit first. Google Analytics 4 has two main reporting functions. that case, please extract it from the exploration report. However, as it is, the data includes traffic from advertisements and SNS, so you should apply a filter to “organic search only.
Process the extracted data Here is the extracted
Data in a spreadsheet. *Actual data has been processed. Based on this data, we will analyze trends by directory. As it is, there is no axis for aggregation, so add a new column Denmark Telegram Number Data and tag it arbitrarily. (Reference spreadsheet Major category: Describe directory name Medium category: Described to further subdivide within a large category. Session Lv: Described according to the number of sessions Conversion Lv: Described according to the number of conversions Conversion rate Lv. Describe according to. Conversion rate The image below summarizes the tagged data using a pivot table and briefly describes the characteristics.
However we were able to create data
With a slightly higher resolution than when numbers are arranged by URL. This time, we aggregated data by directory, but you can handle data from any angle by simply following Mexico Email List the steps of “Tagging. Aggregation.” On the other hand, it is necessary to tag each time, so I think it would be a. Good idea to automate this using Looker Studio. summary. We provided an overview of initial. SEO research and explained a simple analysis method. This time I explained the tactile part, but if you apply this way of thinking, you will be able to do a more in-depth analysis. However, there are disadvantages to looking at too much data. Without a hypothesis, you run the risk of becoming too tied to past data and narrowing your field of view. Therefore, we recommend that you conduct a light initial investigation, and then gradually deepen your analysis by looking.
