Data processing and auditing of the official Google Merchandise online store
What I have done is search for business opportunities based on the information on the sales behavior from January to June 2020 from the Google Merchandise store
The main goal is to push the sales of the clients that most report income to us.
The data income has been analyzed by:
– Country
– Region
– Type of user
– Source of traffic
The conclusion of the analysis
Our main client lives in the United States, comes from organic traffic and is a new visitor
This client reports the 37% of the store’s income.
Knowing this, I will make a clustering to have four buyer profiles of this client and be able to understand it in deeply.
Clustering of the profile who buys in the store from the United States
37% of the income | $ 9,583 –
Are new visitors coming by organic traffic from the United States.
The conclusion of clustering
Cluster 2 and 0 are the ones that buy in more quantity and generate more income.
Cluster 0: income is 16% smaller, however it is the cluster with the highest volume of people.
Cluster 2: In this cluster we can find that it generates 35% of the income source.
It is also the one who buys in more quantity than all.
In these clusters we can find several business opportunities.
