Excellent proposal. I even see many possibilities for synergy with the Reconsidering Astar’s Token Economics proposal. In addition to so many other applications such as generating fundamental analysis and ideas for marketing.
However, there is one detail that I was curious to understand.
In the Proposal it is described that the different users will be treated in a clustered way.
Since we are dealing with a technology that respects privacy more than WEB2, what types of clustering would be possible with this analysis tool?
One that I see as possible and in fact very useful for analyzing the quality of user acquisitions is to cluster them by:
- Light Users
- Average Users
- Heavy Users
These separation criteria can be used to classify various data and make decision making much easier. Because generally, corporations that classify their users in this way (through various parameters) are always trying to make these users evolve (for the good of the enterprise) based on this easy-to-read scale.