For me, Anchor attracted users are those who have been some interaction with the platform. So, I get data from borrows, bonds, burns, collaterals, deposits, etc. for the first time with Anchor. As a remaining active participant, I take the users who have interacted with the platform during the last week. Then, the results are shown below:

• A total of 77118 users have been entering Anchor for the first time.
• A total of 23458 users remain active during last week, representing 30.42% of the total new users.

Now, we are gonna analyze the activity performed during last week for these users. The metrics analyzed are:

• Borrows
• Rewards
• Correlation between them

Analyzing these two metrics separately, we can see how the number of borrows have decreased during the week. But, the rewards remains constant.

Comparing these two metrics, we can see how the accumulated rewards and borrows follow the same ascending line. So comparing both we can see how there is a positive correlation in these terms, which is obvious because is the accumulation of each one. However, the lines could have seen a little different (because ie more rewards could be accumulated during the first period of time, and not in terms of borrows, or some other situation), but the first chart says that the trends are equal.

This final table shows the global data obtained.