Probably with what I have told you you can already get an idea of what the advantages of using Data Studio are, but its main benefits are: It helps you take control of your project , since it allows you to unify the data in a single strategic panel to have a global vision of what is happening. It allows you to detect the strengths and weaknesses of your project so that you can focus your efforts on what is necessary and that you can measure the real impact of each action. You save a lot of hours creating reports because they are updated automatically and you can download them in PDF.
Disadvantages of Data Studio
Come go. That not everything can be so #ff3366. So that you don’t tell me later that I am not objective, we are going to discuss the drawbacks that Data Studio has. Because yes, friends, Data Studio also has its limitations: Some connections to data sources are paid . Many of the Google Data Studio connectors are free (Analytics, Search category email list Console, Google Ads…), but there are also third-party connectors that are paid, such as Supermetrics. IMHO this is not a problem. As long as you use it well, a paid third-party connector can save you a lot of time and even money. So if the investment is worth it, why not?
Google Data Studio Basics
How are things with you? So far so good, right? Well, let’s start getting into the matter… In Data Studio there are some basic concepts that you need to know to better understand how the tool works. Let’s see each of them: Data sources When we Gambling Email List create a new report in Data Studio, we have to tell it where we are going to get the data from . For example, in the tutorial that accompanies this post I have used Google Analytics as a data source. Therefore, all the graphs I paint in the video represent the data from my Analytics account.
