It's, I want to not take credit for something that's not mine. Right? So I have I'm so blessed to have incredible mentors and brilliant people who who guide me push me, piss me off a lot. But who love and care about about my brain? And my, my potential? And miss is that is that wisdom? So how does that apply to fundraising? Like, that? Sounds like up to six, you know, but no, it's actually very real. So, first, you can't humanize the digital experience, until you actually learn what that means. So I think the first thing we can do is like every week, set aside 15 to 20 minutes to actually learn a little bit about digital, something in fundraising, it can be read two articles written on a blog, you really trust, it can be listen to a podcast like this one, or specific topics, it can be do a certification that's gonna get you CFRE credits, but commit to yourself that come hell or high water sitting on the toilet, or in the shower, or on your walk or the bus to work, do something that's going to give you the fluency to even think about digital experience, because so many fundraisers don't have that knowledge. And you can't do anything. Without that knowledge. That's the first thing. And I worked really hard. I think I talked about this on the last pod to build this certification program called the CDF the certified data driven fundraiser. And so this is one example of like, it's a, it's a group of stakeholders, doing this, with no profit to try to increase the fluency in the sector. It's like data driven fundraiser.com, I think, and that, so somebody asked me, How do I get fluent in digital digital fundraising, I said, start by learning the words like, you know, what is x, y? Or Zed? What is the difference between an algorithm and a machine learning algorithm? Or what's like, what are the what's the leading versus lagging indicator? And how do you see that in digital marketing for good, whatever they are, like, learn that. So that's the first thing. I think that's almost again, the precondition to humanizing the digital experience. The second thing is look at, set a goal to like look at a piece of data to try to understand it in the context of fundraising. So let's use an example. Let's use clicks, for example, just as an example, because it's a really easy, or taps, or Jon's right? Most of us. That's so 2012, right? So if somebody is engaged, like spend 15, or 20, or 30 minutes a week, saying, I'm just gonna go through who clicked on my email blasts by eblasts, to my newsletters, and see what happened after just to learn to get instinct, because instinct is built with knowledge and habit, right? It's and then you can, your brain can start to like, learn from it. So if I see that Becky clicked on something a couple of times, and then she donated recently, and then I like, just, I'm just like, looking for trends. Now computers can do this, but you're asking about goals and learning, right? So to me, you can't develop those instincts until you play. And it's like playing, it's like someone did this, what happened, someone did this what happened, and then you've done it for 20, or 50, or 100 donors. In week three be like, I bet you if he did this, this is what's going to happen. Or she did this, that's what's going to happen. So and then do it for a little while. So I like to call this like playing with your data, right? So see what happens start to build these like baby hypothesis is test your instinct. And because that's going to make you more fluid, you're gonna start to see signals, and you talked about signals, I'll talk about those in a second. The third thing is commit to cleaning your data. It is so important. It's a goal that I wish every fundraiser can have. every organization, every human actually can have it in their work, because clean data is going to spit out much better. Whatever predictions reporting, whatever you want, and it doesn't have to be scary. You don't the most common data cleanliness mistake is date. format. Really, the number