I wonder on how much they can rely on the data and what kind of "knowledge" they can extract. I never give feedback and most time (let's say 5 out of 6) the result cc produce it simply wrong. How can they know the result is valuable or not?
So your silence can be used as a warmish signal that you were satisfied. (...or not. Depends on your usage fingerprint.)
At the end of the day it doesn't matter. You got the wrong answer and didn't complain, so why would they care?
If they start to feed the next model with LLM generated crap, the overall performance will drop and instead of getting a useful answer 1 of 5 it will be 1 of 10(?) and probably a lot of us will cancel the subscription ... so in the end I think it matters.