Using metric trees for prediction

Do we ever use the metrics to do a prediction? We actually do. So if you zoom in on the very bottom rung of our tree, you can see that we've in we have these input fields that change all the calculations that go upwards. And so we're able to determine, essentially so I think I have something on on the right side. If you go to the right, actually oh, yeah. You can just do that. Exactly. I don't know if it will work out with well, yeah, kinda comes through. Yeah. So it's randomization is a bit different. Right? It's a bit yeah. But yes. So in a word, yes, we do have the ability to predict. And this is, again, a a tool we use for opportunity sizing as well as to drive initiatives that we think are very valuable forward. So we can say, if we increased critically transacted users, our retention rate by five percent, let's say, you know, this is the outcome on the revenue, and it makes a much easier dialogue than sort of going on gut feeling. So, yes, in a word, yes. So thank you for that question. That is very important for everyone to also consider when we're talking about the tree as well.