This can even be done from Google Sheets, although if you use more advanc tools such as workflow control or a custom programm process, you should do it from these same tools. Transform ingrients to obtain greater potential Every ingrient can be transform and generate new flavours.
This means that once
You have the data from a source, said data can be improv with transformations andthe final analysis. An example of this can be the GSC data, which in its original version is already useful, but adding new data such as keyword type (e.g. brand, exact brand and non-brand) greatly expands the spectrum for its subsequent exploitation.
In addition, said transformations can generally be
Obtain through the basic data without very complex processes. As a simple example of transformation and from Looker Studio itself, you can obtain the keyword type value mention above and there are even several ways to do so (CASE function or groups): The underlying idea is to use these transformations to improve analysis. For truemoney database example, in the following capture.
Which uses two data transformations (clicsCluster and positionCluster)
You can clearly see how most of the client’s important key to seo operations: analyze your competitors TOP3 keywords contribute almost no clicks, and the few in TOP3 that do contribute do not do so to a large extent.
In addition, a more in-depth analysis show that most of them were brand. Mix, not shaken Once we have the ingrients ready to use, it is also important to know how to mix them. Generally, this process consists of each data source to be mix having a common cross.
ID for all of them, and if this
ID is not initially available, trying to assemble it (you can even do this from Sheets, although other tools such as SQL give you greater potential). That is why if we manage to do this well, what would be several valuable data sources separately, greatly snbd host improve the potential/ease of analysis when crossing them. As you may have notic, the above is a simple example of.