Q uh, symbol to a large extent, um, as, as well. Help us understand, um, what the trade-offs are. Is that, um, um, you know, is there really, um, an opportunity for a one-size-fits-all? What, what do you lose by doing that? What are the benefits of, Having, ah, just, ah, adapt and putting something else, one of your partners on top, help us understand how people need to make decisions.
A Uh, sure. So our system is a lot simpler than yours, because we, ah, we're narrower in the sense that we're not uncomplicating in, in office data sets. Um, so I think the limitation for us, the benefit for us is you get data back out in minutes, so you get an answer of all your social data, all of your revenue data. Um, but we're also really shallow, so you can actually drill into finding one customer issue. You can incorporate your own spreadsheets. You can bring in your own data set to get a deeper sense of what's going on. So I think for us, we definitely give people an instant sense of what's happening, and they can find those patterns really easy, and then they need to go to The smarter folks, in a way, that have the ability to drill in and sort of say, ok, I see there's a pattern forming here. I'm going to tie into a content system that shows me what's really happening. For our customers who are usually small businesses, you know, ten million bucks, it's genius. But for bigger companies, they like us because it's a quick result, but it's not, there's a big tradeoff there.
AI assessment note: “for bigger companies, they like us because it's a quick result, but... there's a big tradeoff”