1 00:00:00,080 --> 00:00:03,080 Speaker 1: Welcome to How the Money. I'm Joel and I'm Matt, 2 00:00:03,240 --> 00:00:06,520 Speaker 1: and today we're talking about how to improve your credit score. 3 00:00:18,480 --> 00:00:20,560 Speaker 1: All right, Matt, real quick. I wanted to give people 4 00:00:20,600 --> 00:00:24,000 Speaker 1: a beer tip because we love to talk about beer 5 00:00:24,040 --> 00:00:25,439 Speaker 1: on the podcast, right, and we normally wait till the 6 00:00:25,520 --> 00:00:27,200 Speaker 1: end to talk about the beer, But you want to 7 00:00:27,240 --> 00:00:28,760 Speaker 1: talk about it now, I do, well, I want to. 8 00:00:28,960 --> 00:00:31,280 Speaker 1: I want to do a tip. So this struck me 9 00:00:31,320 --> 00:00:33,720 Speaker 1: as really important and it's actually really influenced the way 10 00:00:33,760 --> 00:00:35,760 Speaker 1: I enjoy beers and how good they are because I've 11 00:00:35,760 --> 00:00:38,040 Speaker 1: done it a different way and they don't taste as good. 12 00:00:38,560 --> 00:00:41,159 Speaker 1: So when you buy a six pack or whatever, when 13 00:00:41,200 --> 00:00:45,199 Speaker 1: you buy a beer, sometimes you have the desire to 14 00:00:46,159 --> 00:00:47,600 Speaker 1: chill it in the freezer real quick so you can 15 00:00:47,640 --> 00:00:49,519 Speaker 1: drink it that night or something like that. I think 16 00:00:49,560 --> 00:00:52,640 Speaker 1: it's really important for the beer to avoid bottle shock 17 00:00:53,040 --> 00:00:55,160 Speaker 1: and bottle shock and just kind of mess with the 18 00:00:55,160 --> 00:00:57,639 Speaker 1: taste of a beer is to have it in your 19 00:00:57,640 --> 00:01:02,800 Speaker 1: fridge overnight, to let it chill naturally gradually instead of yeah, gradually, 20 00:01:03,040 --> 00:01:05,720 Speaker 1: and then pull it out. Another important tips, So let 21 00:01:05,800 --> 00:01:08,759 Speaker 1: your beer chill overnight gradually, and then when you pull 22 00:01:08,800 --> 00:01:12,000 Speaker 1: it out, let your beer warm up for thirty minutes 23 00:01:12,080 --> 00:01:15,200 Speaker 1: before you pop it open. Um. I think the warmer 24 00:01:15,280 --> 00:01:18,360 Speaker 1: your beer gets, the more flavors are open. So if 25 00:01:18,360 --> 00:01:21,520 Speaker 1: you're drinking like cores light, who cares, right, drink it cold? 26 00:01:21,600 --> 00:01:23,440 Speaker 1: Drinking cold because you don't want those flavors to come 27 00:01:23,440 --> 00:01:26,240 Speaker 1: out tap the rockies. Yeah, but if you're drinking a 28 00:01:26,360 --> 00:01:28,520 Speaker 1: good beer, you wanted to warm up a little bit 29 00:01:28,520 --> 00:01:30,520 Speaker 1: and those natural flavors are gonna come out more. And 30 00:01:30,560 --> 00:01:32,600 Speaker 1: so I was just thinking about it because our beer 31 00:01:33,000 --> 00:01:35,040 Speaker 1: today and we'll get into it in a minute is 32 00:01:35,120 --> 00:01:39,120 Speaker 1: dog Fish Heads Oak aged Vanilla Worldwide Stout, and I 33 00:01:39,200 --> 00:01:41,120 Speaker 1: was like, okay, I gotta pull this over question. We 34 00:01:41,160 --> 00:01:43,200 Speaker 1: need to warm that up. It needs to warm up because, 35 00:01:43,240 --> 00:01:45,480 Speaker 1: like I'm going to get those extra oak and vanilla 36 00:01:45,560 --> 00:01:48,840 Speaker 1: notes if it's warmer. That's true, man, I hadn't thought 37 00:01:48,880 --> 00:01:50,520 Speaker 1: about that. We do that all the time without really 38 00:01:50,520 --> 00:01:54,840 Speaker 1: thinking about it, but just from having had numerous craft 39 00:01:54,840 --> 00:01:58,200 Speaker 1: beers in the past decade. But yeah, we should do that, Hooks. 40 00:01:58,240 --> 00:02:00,520 Speaker 1: That's that's a good tip. So there you drink your 41 00:02:00,520 --> 00:02:03,520 Speaker 1: craft beer and drink it better make sure it tastes awesome. 42 00:02:04,520 --> 00:02:06,360 Speaker 1: And also I just want to say thank you to 43 00:02:06,440 --> 00:02:09,240 Speaker 1: all the people that have left ratings and reviews on 44 00:02:09,320 --> 00:02:12,760 Speaker 1: Apple podcast Man, all the glowing reviews, Thank you guys. 45 00:02:12,800 --> 00:02:14,880 Speaker 1: It's huge for us. Man, it's huge for us, and 46 00:02:14,919 --> 00:02:17,600 Speaker 1: so um it makes me feel good about myself. We're 47 00:02:17,639 --> 00:02:20,799 Speaker 1: on episode ten right now, and if you have been 48 00:02:20,880 --> 00:02:23,120 Speaker 1: listening since the beginning or just really gotten in the 49 00:02:23,200 --> 00:02:25,800 Speaker 1: last few episodes and you're into what we're talking about, 50 00:02:25,840 --> 00:02:29,640 Speaker 1: it's helpful. I would ask you kindly to please leave 51 00:02:29,720 --> 00:02:32,919 Speaker 1: us a rating and or review on Apple Podcasts or 52 00:02:32,919 --> 00:02:35,840 Speaker 1: wherever you listen to your podcast. It's super helpful and 53 00:02:35,880 --> 00:02:38,960 Speaker 1: just um helps other people that love craft, beer and 54 00:02:39,120 --> 00:02:42,800 Speaker 1: money talk find our podcast. Yeah, Joe, so Atlanta United. 55 00:02:43,280 --> 00:02:46,840 Speaker 1: We are both big fans uh and we were recording 56 00:02:46,840 --> 00:02:48,840 Speaker 1: this a little bit ahead of time as we haven't 57 00:02:48,840 --> 00:02:53,600 Speaker 1: had our first match against uh DC United. Oh Atlanta United. 58 00:02:53,600 --> 00:02:55,960 Speaker 1: By the way, it's it's our soccer team, right, It's 59 00:02:55,960 --> 00:02:59,760 Speaker 1: our Atlanta soccer team. I wanted to talk about jerseys, 60 00:02:59,760 --> 00:03:03,040 Speaker 1: like the expensive jerseys. Yeah. The reason I asked I 61 00:03:03,040 --> 00:03:05,040 Speaker 1: want to bring that up is because I grew up 62 00:03:05,080 --> 00:03:09,040 Speaker 1: not not wearing jerseys. It's just wasn't part of my childhood. 63 00:03:09,240 --> 00:03:11,480 Speaker 1: I wasn't huge into sports. You didn't even grow up 64 00:03:11,480 --> 00:03:13,840 Speaker 1: wearing pants, So I grew up in the in the 65 00:03:13,880 --> 00:03:17,799 Speaker 1: woods naked. You're one of the woodland people. Is that 66 00:03:17,880 --> 00:03:21,080 Speaker 1: a boy that lives in his eyes? Every once in 67 00:03:21,080 --> 00:03:26,160 Speaker 1: a while, they're like feral children. No, but dude, jerseys 68 00:03:26,160 --> 00:03:28,520 Speaker 1: are so expensive. And I was curious because I was 69 00:03:28,520 --> 00:03:30,600 Speaker 1: thinking about it. Back when we used to go to 70 00:03:30,600 --> 00:03:32,920 Speaker 1: the Braids all the time when they're in town. You know, 71 00:03:32,960 --> 00:03:36,240 Speaker 1: you always had Atlanta Braves jersey. Uh and you would 72 00:03:36,240 --> 00:03:38,040 Speaker 1: always rag me if for not having any any of 73 00:03:38,080 --> 00:03:41,360 Speaker 1: like team gear. But I wasn't gonna spend the money 74 00:03:41,680 --> 00:03:44,600 Speaker 1: on I mean close to like a hundred bucks on 75 00:03:44,640 --> 00:03:46,920 Speaker 1: a on a nice jersey, you know. And this past 76 00:03:47,000 --> 00:03:51,040 Speaker 1: Christmas scored a sweet you know, official jersey, which I'm 77 00:03:51,040 --> 00:03:53,880 Speaker 1: super stoked about. Uh So, how do you justify that? 78 00:03:54,000 --> 00:03:56,480 Speaker 1: You know, you've got something you support and love your team, 79 00:03:56,680 --> 00:04:00,200 Speaker 1: but then on the other hand, you've got crazy ments 80 00:04:00,240 --> 00:04:02,160 Speaker 1: of jersey and they changed to you. That's what's so 81 00:04:02,240 --> 00:04:05,280 Speaker 1: crazy is that every every couple of years. Uh. I 82 00:04:05,280 --> 00:04:08,840 Speaker 1: mean some some leagues they're even required to update their jerseys. Yeah, 83 00:04:09,000 --> 00:04:11,840 Speaker 1: give me your thoughts, all right. So here's how I 84 00:04:11,880 --> 00:04:15,080 Speaker 1: approach stuff. Like buying a jersey. That is something I 85 00:04:15,120 --> 00:04:17,680 Speaker 1: typically will not buy for myself because of the expense. 86 00:04:18,080 --> 00:04:21,320 Speaker 1: And I usually ask for something like a jersey or 87 00:04:21,360 --> 00:04:23,359 Speaker 1: a hat or something like that for a team that 88 00:04:23,440 --> 00:04:27,640 Speaker 1: I love and follow, for Christmas or for my birthday. 89 00:04:27,680 --> 00:04:30,120 Speaker 1: So that's usually like I did, yeah exactly, I like 90 00:04:30,200 --> 00:04:31,800 Speaker 1: put it on the list and I know that I 91 00:04:31,839 --> 00:04:33,359 Speaker 1: want something like that. So you know, it was my 92 00:04:33,440 --> 00:04:38,159 Speaker 1: birthday in February and my folks got me one Atlanta 93 00:04:38,240 --> 00:04:41,000 Speaker 1: United jersey. And then I had some birthday money and 94 00:04:41,160 --> 00:04:43,280 Speaker 1: I decided found a sale and I bought another one. 95 00:04:43,360 --> 00:04:46,039 Speaker 1: So those are the two that I'll need for hopefully 96 00:04:46,040 --> 00:04:48,920 Speaker 1: the next three seasons because I don't mind wearing last 97 00:04:49,000 --> 00:04:51,359 Speaker 1: year's or two years ago jersey, but um, it is 98 00:04:51,440 --> 00:04:53,279 Speaker 1: nice to have that just to support my team, and 99 00:04:53,320 --> 00:04:55,400 Speaker 1: then to have an alternate one in case I like 100 00:04:55,480 --> 00:04:58,200 Speaker 1: completely sweated that one out or something. True, I feel 101 00:04:58,200 --> 00:04:59,880 Speaker 1: like I can wear an old jersey as almost like 102 00:04:59,920 --> 00:05:01,400 Speaker 1: a point of pride and be like, yeah, I'm not 103 00:05:01,440 --> 00:05:04,560 Speaker 1: gonna buy that new one. And as well, we're not 104 00:05:04,760 --> 00:05:07,000 Speaker 1: super super cheap. We we're not willing to spend money 105 00:05:07,160 --> 00:05:10,000 Speaker 1: on something that we really love. All right, let's move 106 00:05:10,000 --> 00:05:13,680 Speaker 1: on to the beer. We're over at my house tonight 107 00:05:13,760 --> 00:05:17,800 Speaker 1: recording and a palatial alt Mixed studios. We've been over 108 00:05:17,839 --> 00:05:21,240 Speaker 1: at your place that like past three three or four episodes, 109 00:05:21,440 --> 00:05:23,720 Speaker 1: and I actually have really liked it because it's a 110 00:05:23,839 --> 00:05:25,839 Speaker 1: nice pick me up to bike over to your place 111 00:05:26,000 --> 00:05:28,040 Speaker 1: in the in the cool night air. But I've been 112 00:05:28,040 --> 00:05:30,719 Speaker 1: biking a lot lately, so I'm actually glad to not 113 00:05:30,760 --> 00:05:32,000 Speaker 1: be on the bike today. See. I like doing it 114 00:05:32,000 --> 00:05:33,560 Speaker 1: at your house because when I get bored looking at 115 00:05:33,560 --> 00:05:35,440 Speaker 1: your face I can look at your great Dane in 116 00:05:35,480 --> 00:05:39,159 Speaker 1: the corner there and just yeah, she's she's a good dog. 117 00:05:39,200 --> 00:05:41,960 Speaker 1: She's sweet. But yeah, you so you brought over a 118 00:05:42,000 --> 00:05:47,040 Speaker 1: beer oak aged vanilla worldwide stout yep from dog fish 119 00:05:47,040 --> 00:05:50,479 Speaker 1: Head Doctor's Head, and they're freaking awesome and big thanks 120 00:05:50,560 --> 00:05:53,120 Speaker 1: to my friend Ryan. Yeah he he hooked you up. 121 00:05:53,400 --> 00:05:56,720 Speaker 1: Yeah he. His wife is from Delaware, and so when 122 00:05:56,720 --> 00:05:58,440 Speaker 1: he goes up there every once in a while, which 123 00:05:58,480 --> 00:06:00,159 Speaker 1: that's where doctor Shed is, and he picks up some 124 00:06:00,200 --> 00:06:04,640 Speaker 1: good beers, and super kind of him to uh to 125 00:06:04,960 --> 00:06:08,760 Speaker 1: donate these uh, these beers to the podcast. And this 126 00:06:08,800 --> 00:06:12,320 Speaker 1: one weighs in at a super stout seventeen and a 127 00:06:12,320 --> 00:06:16,919 Speaker 1: half percent. Yeah, so if we start, I'm excited that 128 00:06:16,960 --> 00:06:19,320 Speaker 1: we each have our own, our own twelve ounces of 129 00:06:19,360 --> 00:06:21,080 Speaker 1: beer of this mom also a little worried by the 130 00:06:21,080 --> 00:06:22,240 Speaker 1: time we get to the end of the podcast. I 131 00:06:22,240 --> 00:06:24,040 Speaker 1: was gonna say, yeah, it fights ourselves a little bit 132 00:06:24,080 --> 00:06:25,760 Speaker 1: if at the end of the podcast we're slurring our 133 00:06:25,800 --> 00:06:28,600 Speaker 1: words as we deliver our final thought. That is I mean, 134 00:06:28,640 --> 00:06:30,640 Speaker 1: that's bigger than a lot of wines. Right, I don't 135 00:06:30,720 --> 00:06:32,480 Speaker 1: drink a ton of wine, but isn't wine like around 136 00:06:32,520 --> 00:06:36,120 Speaker 1: fifteen Yeah, exactly, it's beastly. Are you gonna crack these open? 137 00:06:36,200 --> 00:06:43,560 Speaker 1: Let's crack it? Mm hmmm, gonna be honest, as soon 138 00:06:43,600 --> 00:06:46,640 Speaker 1: as you crack it, you get like a boozy waft 139 00:06:46,720 --> 00:06:50,880 Speaker 1: through the air. It just smells like dark, dark beer. 140 00:06:51,839 --> 00:06:53,480 Speaker 1: And if I were to start a rock and roll band, 141 00:06:53,480 --> 00:06:58,200 Speaker 1: I call it boozy Waft. Hey man, you're going to 142 00:06:58,279 --> 00:07:01,719 Speaker 1: the Boozy Waft show tonight. Yeah. Those guys are awesome. 143 00:07:01,760 --> 00:07:04,640 Speaker 1: They do all justin Bieber covers. Right, I thought I 144 00:07:04,680 --> 00:07:08,599 Speaker 1: was the only fan. You know them too? So this 145 00:07:08,720 --> 00:07:15,200 Speaker 1: poores pitch black, nice caramel brown head. Oh man, it 146 00:07:15,280 --> 00:07:19,480 Speaker 1: smells sweet too, which makes me very excited. Yeah, it's 147 00:07:19,640 --> 00:07:22,240 Speaker 1: dark as night and I just had my first ship. 148 00:07:22,800 --> 00:07:26,800 Speaker 1: It's lovely. It's lovely, It's wow. The oak and the 149 00:07:26,880 --> 00:07:29,920 Speaker 1: vanilla come through super nicely, and the base stout is 150 00:07:30,840 --> 00:07:34,400 Speaker 1: just kind of that perfect level. It's not overly viscous. 151 00:07:34,440 --> 00:07:36,720 Speaker 1: And some of these like bigger stouts, they're like you 152 00:07:36,760 --> 00:07:39,400 Speaker 1: almost have to choose them because they're so big and burly. 153 00:07:40,160 --> 00:07:42,200 Speaker 1: That's a nice body for for such a big beer. 154 00:07:42,240 --> 00:07:43,960 Speaker 1: I was expecting it to be a little superhier. Yeah, 155 00:07:44,000 --> 00:07:48,600 Speaker 1: this one's this one slides down nice and uh, really 156 00:07:48,640 --> 00:07:52,320 Speaker 1: really beautiful. Yeah. I mean, look at the carbonation for 157 00:07:52,320 --> 00:07:54,640 Speaker 1: for such a big stout like this, I'm actually surprised 158 00:07:54,640 --> 00:07:57,040 Speaker 1: at the amount of carbonation I've got coming up. Yeah. 159 00:07:57,080 --> 00:08:00,920 Speaker 1: Sometimes these beers like this poor with almost zero had 160 00:08:00,960 --> 00:08:04,559 Speaker 1: like no carbonation, and so you're just like literally feels like, um, 161 00:08:04,600 --> 00:08:06,640 Speaker 1: it looks like old oil, it looks like motor oil, 162 00:08:06,640 --> 00:08:07,800 Speaker 1: and it kind of has that feel in your mouth 163 00:08:07,840 --> 00:08:09,480 Speaker 1: to this one does not. It's got a kind of 164 00:08:09,520 --> 00:08:12,600 Speaker 1: a nice lively jump. Dude. I'm really glad you brought 165 00:08:12,640 --> 00:08:15,720 Speaker 1: this over too, because it's been pretty cold lately. We've 166 00:08:15,800 --> 00:08:18,320 Speaker 1: kind of had a cold streak here late in the spring, 167 00:08:18,960 --> 00:08:21,320 Speaker 1: and you know, when it's cold outside, it's nice to 168 00:08:21,320 --> 00:08:24,280 Speaker 1: have a big kind of warming beer like this because 169 00:08:24,400 --> 00:08:27,960 Speaker 1: I can already feel it in my belly. Yeah, like 170 00:08:28,000 --> 00:08:30,480 Speaker 1: a stout booze in my belly. I'm not really feeling 171 00:08:30,520 --> 00:08:33,960 Speaker 1: stouts in July and August, but when it's you know, 172 00:08:34,040 --> 00:08:37,640 Speaker 1: thirty five degrees outside, I'm all about it. Stouts and 173 00:08:37,640 --> 00:08:41,320 Speaker 1: barley wines are two of my favorite winter style beers. 174 00:08:41,720 --> 00:08:43,880 Speaker 1: Um And actually one of our listeners wrote in and 175 00:08:43,920 --> 00:08:46,120 Speaker 1: he had some questions about barley wines. So if you 176 00:08:46,160 --> 00:08:48,760 Speaker 1: have questions about beer styles or you just want to 177 00:08:48,760 --> 00:08:50,760 Speaker 1: talk more about it, I feel free to join our 178 00:08:50,800 --> 00:08:53,719 Speaker 1: Facebook group or email us. But our Facebook group is 179 00:08:53,760 --> 00:08:56,720 Speaker 1: the perfect place to ask questions and kind of engage 180 00:08:56,800 --> 00:08:59,839 Speaker 1: on topics related to beer and money. Um. But bar 181 00:09:00,120 --> 00:09:02,480 Speaker 1: wines and stouts two of my favorites to drink during 182 00:09:02,520 --> 00:09:05,280 Speaker 1: the cold months. So thanks to Ryan for donating these 183 00:09:05,320 --> 00:09:09,040 Speaker 1: beers to the podcast. Dude, it's awesome. I really appreciate it. Uh. 184 00:09:09,040 --> 00:09:11,960 Speaker 1: And on that note, Matt, let's get into how to 185 00:09:12,080 --> 00:09:15,280 Speaker 1: improve your credit score. So the credit score, let's first 186 00:09:15,320 --> 00:09:19,560 Speaker 1: talk about actually what that is, right, Yeah, So it's yeah, 187 00:09:19,559 --> 00:09:22,360 Speaker 1: it's important to note the definitions and a credit score. 188 00:09:22,720 --> 00:09:25,240 Speaker 1: It feels like the super secretive thing. And for years 189 00:09:25,240 --> 00:09:28,800 Speaker 1: and years and years, it kind of was secretive. It 190 00:09:28,840 --> 00:09:31,280 Speaker 1: was really hard to get your credit score. Back before 191 00:09:31,280 --> 00:09:34,560 Speaker 1: the Internet, people didn't know what made up a credit score, right, Yeah, 192 00:09:34,559 --> 00:09:37,200 Speaker 1: they didn't know what made it up, and they didn't 193 00:09:37,240 --> 00:09:39,440 Speaker 1: really have access to it. And that's changed over the years. 194 00:09:39,480 --> 00:09:42,640 Speaker 1: I mean I even remember ten years ago, I used 195 00:09:42,679 --> 00:09:46,360 Speaker 1: to bank with a bank called Washington Mutual that is 196 00:09:46,400 --> 00:09:49,400 Speaker 1: now difficult. Yeah, I remember them, and they one of 197 00:09:49,400 --> 00:09:51,640 Speaker 1: their parks was we'll give you access to your credit score, 198 00:09:51,679 --> 00:09:53,440 Speaker 1: and nobody else was doing that. And I was like 199 00:09:53,480 --> 00:09:55,880 Speaker 1: super pump because I'm a nerd and I wanted to 200 00:09:55,920 --> 00:09:58,080 Speaker 1: know about it, um and so that was really fun 201 00:09:58,080 --> 00:10:00,320 Speaker 1: for me, Like, I want to see that stats. And uh, 202 00:10:00,440 --> 00:10:03,080 Speaker 1: fortunately now we live in an age where you have 203 00:10:03,200 --> 00:10:06,319 Speaker 1: access to it and will tell you kind of how 204 00:10:06,360 --> 00:10:08,320 Speaker 1: that works later on and where to go to get 205 00:10:08,360 --> 00:10:12,640 Speaker 1: that um. But essentially, a credit score is a tool 206 00:10:12,679 --> 00:10:16,120 Speaker 1: that financial institutions use in order to decide whether they 207 00:10:16,160 --> 00:10:18,480 Speaker 1: should lend you money or not, and typically is referred 208 00:10:18,480 --> 00:10:21,440 Speaker 1: to as as the FICO score f I CEO. There's 209 00:10:21,520 --> 00:10:24,360 Speaker 1: three main players that you've heard of, and all those 210 00:10:24,440 --> 00:10:26,840 Speaker 1: kind of play into they're all weighted and create your 211 00:10:26,840 --> 00:10:32,360 Speaker 1: FICO score. But experience TransUnion and Equifax, the ladder of 212 00:10:32,360 --> 00:10:36,440 Speaker 1: which had a huge UH data breach last year and 213 00:10:37,440 --> 00:10:41,760 Speaker 1: stunk it up bags Yeah, good jog bays. This episode 214 00:10:41,800 --> 00:10:45,719 Speaker 1: is brought to you by Equifax. Yeah. And the other 215 00:10:45,760 --> 00:10:47,400 Speaker 1: thing is too, is there are are a lot of 216 00:10:47,400 --> 00:10:50,520 Speaker 1: different credit scores out there. There's different algorithms, Different companies 217 00:10:50,559 --> 00:10:53,640 Speaker 1: have their own sort of proprietary scores. They're all roughly 218 00:10:53,679 --> 00:10:56,720 Speaker 1: the same. They all typically have UH fall sort of 219 00:10:56,760 --> 00:10:59,959 Speaker 1: within the range of like three hundred or three fifty 220 00:11:00,040 --> 00:11:02,760 Speaker 1: to up to fifty and some go up to nine. Yeah, 221 00:11:02,800 --> 00:11:05,320 Speaker 1: there's there's they're all sort of different, but they all 222 00:11:05,360 --> 00:11:08,319 Speaker 1: operate around the sort of the same principles. And that's 223 00:11:08,360 --> 00:11:10,320 Speaker 1: what we're gonna be talking about today. And so yeah, 224 00:11:10,360 --> 00:11:13,200 Speaker 1: you might get UH one credit score from one place 225 00:11:13,240 --> 00:11:15,680 Speaker 1: and one credit score from another place, and they're gonna 226 00:11:15,720 --> 00:11:17,360 Speaker 1: be a little bit different, and you're like, well, what's 227 00:11:17,440 --> 00:11:20,439 Speaker 1: going on? Uh? And it's just because these different credit 228 00:11:20,480 --> 00:11:23,000 Speaker 1: bureaus have their, like Matt said, their own algorithms, and 229 00:11:23,040 --> 00:11:26,360 Speaker 1: they are essentially waiting things slightly differently but there are 230 00:11:26,360 --> 00:11:29,720 Speaker 1: a ton of principles that you can lean in in, uh, 231 00:11:29,760 --> 00:11:32,319 Speaker 1: in order to help you understand how to how your 232 00:11:32,320 --> 00:11:34,880 Speaker 1: credit score is made up and therefore how to make 233 00:11:34,880 --> 00:11:36,880 Speaker 1: your credit score great. So, like we said, your credit 234 00:11:36,920 --> 00:11:40,559 Speaker 1: score is how financial institutions are going to decide whether 235 00:11:40,600 --> 00:11:44,079 Speaker 1: to lend you money. So good credit score means more 236 00:11:44,120 --> 00:11:47,120 Speaker 1: favorable interest rates. It means yes, you're going to get 237 00:11:47,160 --> 00:11:49,080 Speaker 1: that long and I mean that's why this is important 238 00:11:49,400 --> 00:11:51,880 Speaker 1: is because this affects how much you're paying an interest 239 00:11:52,559 --> 00:11:55,800 Speaker 1: based on the right that the bank or whatever financial 240 00:11:55,800 --> 00:11:58,960 Speaker 1: institution you're working with is going to give you back. 241 00:11:58,960 --> 00:12:01,680 Speaker 1: In old school human society, a credit score was essentially 242 00:12:01,760 --> 00:12:05,120 Speaker 1: knowing somebody and knowing their trustworthiness. And now, because like 243 00:12:05,160 --> 00:12:08,079 Speaker 1: there's three million people in this country, you have to 244 00:12:08,080 --> 00:12:11,240 Speaker 1: have a score assigned to you because you walk into 245 00:12:11,240 --> 00:12:13,600 Speaker 1: your local bank and they don't know, you know, Matt 246 00:12:13,600 --> 00:12:15,719 Speaker 1: all makes pays his bills or not. Uh, And that's 247 00:12:15,720 --> 00:12:18,599 Speaker 1: why there's this score assigned to you to kind of 248 00:12:18,679 --> 00:12:21,040 Speaker 1: let them know, oh, well, Matt's paid all these other 249 00:12:21,040 --> 00:12:23,640 Speaker 1: bills on time and uh, and he's he seems to 250 00:12:23,640 --> 00:12:25,480 Speaker 1: have used it well his credit Well, so you know 251 00:12:25,520 --> 00:12:27,840 Speaker 1: what he's trustworthy and we can lend to him, whereas 252 00:12:27,920 --> 00:12:31,439 Speaker 1: you know before in early human days, it's like that 253 00:12:31,480 --> 00:12:34,679 Speaker 1: guy sleeps in really late and he was really contribute 254 00:12:34,920 --> 00:12:37,080 Speaker 1: to the meals at night. So he's saying, back then, 255 00:12:37,240 --> 00:12:40,000 Speaker 1: I would not have gotten a good a good loan, 256 00:12:40,080 --> 00:12:43,240 Speaker 1: but but maybe today I would exactly exactly what I'm 257 00:12:43,280 --> 00:12:47,520 Speaker 1: trying to say, jerk. Why do you need a good 258 00:12:47,520 --> 00:12:49,680 Speaker 1: credit score? Yeah, I mean so essentially, I mean, just 259 00:12:49,720 --> 00:12:53,640 Speaker 1: like you're saying it, it establishes basically your financial reputation 260 00:12:53,920 --> 00:12:55,760 Speaker 1: is maybe the best way to kind of describe it. 261 00:12:56,320 --> 00:12:59,920 Speaker 1: And it's not to be overlooked. I used to be 262 00:13:00,160 --> 00:13:03,280 Speaker 1: huge into Dave Ramsey, maybe about ten years ago, and 263 00:13:03,360 --> 00:13:05,560 Speaker 1: he used to call the FICO score the I Love 264 00:13:05,640 --> 00:13:08,400 Speaker 1: Debt score, because this whole thing is obvious. You know, 265 00:13:08,480 --> 00:13:10,880 Speaker 1: everybody knows get out of debt, that's the inside debt, 266 00:13:10,920 --> 00:13:13,840 Speaker 1: that's his whole stick. And I was all about that. 267 00:13:13,920 --> 00:13:15,720 Speaker 1: I was like, Oh, that's cool. I mean, I had 268 00:13:15,760 --> 00:13:17,800 Speaker 1: a FICO score because I we'd always used I use 269 00:13:17,840 --> 00:13:20,000 Speaker 1: credit card since I was a teenager. But I didn't 270 00:13:20,000 --> 00:13:23,920 Speaker 1: really care about my score until we started applying for 271 00:13:24,000 --> 00:13:26,960 Speaker 1: loans to buy a house and then I realized, Oh, 272 00:13:27,120 --> 00:13:30,040 Speaker 1: I'm glad I've got a pretty good credit score, because 273 00:13:30,440 --> 00:13:33,839 Speaker 1: otherwise that would affect me negatively big time and the 274 00:13:33,960 --> 00:13:37,040 Speaker 1: kind of loan that we could get, and especially as 275 00:13:37,040 --> 00:13:40,560 Speaker 1: a self employee person, we don't have regular income, and 276 00:13:40,600 --> 00:13:43,160 Speaker 1: so because of that, banks are super nervous when it 277 00:13:43,200 --> 00:13:46,360 Speaker 1: comes to lending to someone like me. I've got a 278 00:13:46,480 --> 00:13:50,600 Speaker 1: very variable income and they do not like that. It's 279 00:13:50,720 --> 00:13:53,600 Speaker 1: very hard to get alone when you're self employed, and 280 00:13:54,000 --> 00:13:57,320 Speaker 1: because of that, having a good credit score is huge. Yeah, 281 00:13:57,360 --> 00:13:59,439 Speaker 1: it means even more for you than it does for 282 00:14:00,000 --> 00:14:02,680 Speaker 1: the average person that can kind of rely a little 283 00:14:02,679 --> 00:14:05,920 Speaker 1: more on their paycheck history and they can say, listen, 284 00:14:05,920 --> 00:14:07,959 Speaker 1: this is how much I have coming in every month 285 00:14:08,440 --> 00:14:10,760 Speaker 1: and point to that. And granted they still need a 286 00:14:10,760 --> 00:14:13,000 Speaker 1: decent credit score as well, but for you, the credit 287 00:14:13,040 --> 00:14:15,679 Speaker 1: score means even more. Yeah. When they're employed by g E, 288 00:14:16,200 --> 00:14:19,920 Speaker 1: you know, the bank's like, okay, it'll be cool, Yeah, okay, 289 00:14:19,960 --> 00:14:23,600 Speaker 1: you're you have written normal employment and steady employment for 290 00:14:23,960 --> 00:14:26,080 Speaker 1: UH an employer that is going to be around for 291 00:14:26,080 --> 00:14:28,360 Speaker 1: a while, and that that helps a lot. But like 292 00:14:28,440 --> 00:14:31,120 Speaker 1: you alluded to as well, Matt, this credit score has 293 00:14:31,160 --> 00:14:34,880 Speaker 1: actually spidered its way into almost every element of life. 294 00:14:35,200 --> 00:14:38,680 Speaker 1: So essentially your credit score will affect your loan rate. 295 00:14:38,800 --> 00:14:41,320 Speaker 1: So you apply for a mortgage, a car loan, anything 296 00:14:41,360 --> 00:14:44,720 Speaker 1: like that credit card, you're that makes sense, Yeah, you're right, 297 00:14:44,760 --> 00:14:47,000 Speaker 1: that makes sense. It's gonna affect that you. You know, 298 00:14:47,040 --> 00:14:50,560 Speaker 1: if you have a credit score of seven eighty, you're 299 00:14:50,880 --> 00:14:54,600 Speaker 1: going to essentially probably get the best mortgage rate possible, 300 00:14:54,960 --> 00:14:58,440 Speaker 1: which might be let's say four percent, and someone with 301 00:14:58,960 --> 00:15:02,520 Speaker 1: much lower credit score six twenty might essentially be paying 302 00:15:02,600 --> 00:15:04,600 Speaker 1: four point seven five, like a huge gap, which it 303 00:15:04,600 --> 00:15:06,760 Speaker 1: would have have a point or full point onto a 304 00:15:06,840 --> 00:15:10,160 Speaker 1: prime which could cost you dollars over the life of 305 00:15:10,240 --> 00:15:13,480 Speaker 1: loan over thirty years. So that's easily it's a huge factor, right, 306 00:15:13,520 --> 00:15:15,240 Speaker 1: So you want to make sure that your credit scores 307 00:15:15,280 --> 00:15:18,080 Speaker 1: buttoned up for things like that. Also renting a home, 308 00:15:18,320 --> 00:15:20,160 Speaker 1: So if you haven't bought a home, if you're not 309 00:15:20,200 --> 00:15:23,360 Speaker 1: interested in buying home, and you're a renter, your perspective, 310 00:15:23,400 --> 00:15:29,280 Speaker 1: landlord is probably likely should be checking your credit. As 311 00:15:29,280 --> 00:15:33,200 Speaker 1: we talked about in our Laura Investment Property episode Investment 312 00:15:33,200 --> 00:15:36,240 Speaker 1: Property Basics, we touched on it then, uh and even 313 00:15:36,280 --> 00:15:38,560 Speaker 1: now though, would you consider running though two two renters 314 00:15:38,560 --> 00:15:40,480 Speaker 1: that have kind of low or like a bad with 315 00:15:40,480 --> 00:15:42,760 Speaker 1: with bad credit. Yeah, I totally would if they check 316 00:15:42,760 --> 00:15:43,880 Speaker 1: out in some of the other ways that I do 317 00:15:43,920 --> 00:15:46,560 Speaker 1: tenant screening, And eventually we'll do a whole podcast on 318 00:15:46,600 --> 00:15:48,640 Speaker 1: tenant screening, because that's what I want to do a 319 00:15:48,680 --> 00:15:52,520 Speaker 1: big thing too. But yeah, essentially I would, but they'd 320 00:15:52,520 --> 00:15:55,120 Speaker 1: have to meet some other parameters and probably provide a 321 00:15:55,120 --> 00:15:58,880 Speaker 1: bigger security deposit so that you know, I'm ensured essentially 322 00:15:58,920 --> 00:16:01,720 Speaker 1: in that way. And so yeah, just be ready for that. 323 00:16:01,760 --> 00:16:03,640 Speaker 1: If you're running home if you have a low credit score, 324 00:16:04,160 --> 00:16:06,760 Speaker 1: you might especially be paying a larger security deposit, and 325 00:16:06,800 --> 00:16:10,560 Speaker 1: some landlords might turn you away altogether just because you 326 00:16:10,720 --> 00:16:13,200 Speaker 1: have a bad credit score rating. Yeah. And and then 327 00:16:13,240 --> 00:16:16,880 Speaker 1: I saw too how different companies and even employers are 328 00:16:16,920 --> 00:16:19,040 Speaker 1: taking your credit score and account when it comes to 329 00:16:19,320 --> 00:16:21,680 Speaker 1: like getting a job. Man, I didn't actually even realize 330 00:16:21,720 --> 00:16:26,000 Speaker 1: this until recently. Um, but employers are literally checking your 331 00:16:26,040 --> 00:16:29,640 Speaker 1: credit score when they're I mean when in the hiring process, 332 00:16:29,680 --> 00:16:33,080 Speaker 1: which seems really weird. In some jobs, it makes sense, 333 00:16:33,080 --> 00:16:35,320 Speaker 1: like if you are handling a lot of money or 334 00:16:35,400 --> 00:16:37,960 Speaker 1: could be. I guess essentially the way it started off 335 00:16:38,000 --> 00:16:40,680 Speaker 1: with certain employers said, you know, what this person needs 336 00:16:40,720 --> 00:16:43,560 Speaker 1: to have good credit and good financial standing because they 337 00:16:43,560 --> 00:16:46,280 Speaker 1: can be subject to blackmail and they're handling company funds, 338 00:16:46,480 --> 00:16:49,040 Speaker 1: they might be forced into using company funds to cover 339 00:16:49,160 --> 00:16:51,800 Speaker 1: up for some of their financial indiscretions. And so that 340 00:16:51,920 --> 00:16:54,960 Speaker 1: was why it started, but it's really breached out into 341 00:16:55,000 --> 00:16:58,440 Speaker 1: other areas of hiring and people are having to give 342 00:16:58,480 --> 00:17:01,840 Speaker 1: their credit scores for jobs that really they shouldn't have 343 00:17:01,880 --> 00:17:04,159 Speaker 1: to be giving their Yeah, letting their employer to know 344 00:17:04,200 --> 00:17:06,240 Speaker 1: their credit score for yeah, to me, that just seems 345 00:17:06,240 --> 00:17:07,840 Speaker 1: really weird. I totally get it. I guess in some 346 00:17:07,920 --> 00:17:10,600 Speaker 1: financial institutions that you know, if you're like getting for 347 00:17:10,640 --> 00:17:13,359 Speaker 1: a major stockbroker or something like, yeah, exactly exactly, But 348 00:17:13,400 --> 00:17:15,120 Speaker 1: what does the credit score have anything to do with, say, 349 00:17:15,160 --> 00:17:17,879 Speaker 1: like like a doctor, or like a hospital hiring a doctor, 350 00:17:17,960 --> 00:17:21,280 Speaker 1: or a lot of positions where money just really isn't 351 00:17:21,280 --> 00:17:23,479 Speaker 1: that important when it comes to how well they can 352 00:17:23,480 --> 00:17:26,399 Speaker 1: do their job. Honestly, a big reason that you were 353 00:17:26,400 --> 00:17:28,800 Speaker 1: maybe even able to get that job, they had to, say, 354 00:17:28,880 --> 00:17:31,639 Speaker 1: finance their student loans and you know, things like that, 355 00:17:31,680 --> 00:17:33,280 Speaker 1: and maybe they're a little bit behind and they're not 356 00:17:33,359 --> 00:17:35,960 Speaker 1: doing the the different programs that are offered out there. Yeah, 357 00:17:35,960 --> 00:17:37,240 Speaker 1: I think it should be out of bound. Kind of 358 00:17:37,240 --> 00:17:41,359 Speaker 1: weird for for most employers, and and obviously for some 359 00:17:41,720 --> 00:17:45,160 Speaker 1: employers in some positions that should be waived. But yeah, 360 00:17:45,160 --> 00:17:46,840 Speaker 1: I agree with you. I think it's it's kind of 361 00:17:46,840 --> 00:17:49,000 Speaker 1: messed up that it's that much a part of the 362 00:17:49,080 --> 00:17:52,159 Speaker 1: hiring process more and more. And another way that we 363 00:17:52,200 --> 00:17:55,040 Speaker 1: think is kind of messed up that your credit scores 364 00:17:55,119 --> 00:17:58,960 Speaker 1: used is in setting your insurance rates, and so your 365 00:17:59,119 --> 00:18:02,840 Speaker 1: insurance premium him are going to be based sometimes in 366 00:18:03,040 --> 00:18:06,320 Speaker 1: large part, based on your credit score. We're talking like 367 00:18:06,520 --> 00:18:09,720 Speaker 1: health insurance, life insurance, car insurance, car insurance, and home 368 00:18:09,760 --> 00:18:13,119 Speaker 1: insurance most especially. Yeah, and so so some studies have 369 00:18:13,160 --> 00:18:16,040 Speaker 1: shown that someone with a great credit score and a 370 00:18:16,200 --> 00:18:18,359 Speaker 1: d u I on the record will get a better 371 00:18:18,520 --> 00:18:22,560 Speaker 1: insurance rate than someone with really poor credit but no 372 00:18:22,720 --> 00:18:24,840 Speaker 1: d u I, no bad driving record. And that's for 373 00:18:24,880 --> 00:18:30,840 Speaker 1: car insurance, for car insurance. It seems so backwards, dude. Yeah, man, 374 00:18:31,040 --> 00:18:33,560 Speaker 1: So that's how far the credit score has gone into 375 00:18:33,560 --> 00:18:37,359 Speaker 1: our society. It means so much, and it goes everywhere. 376 00:18:37,760 --> 00:18:39,400 Speaker 1: It affects you know, whether you can get a job, 377 00:18:39,440 --> 00:18:43,119 Speaker 1: and your insurance premiums, and it's crazy, whether you can 378 00:18:43,200 --> 00:18:44,760 Speaker 1: run a home, and how much you're gonna pay on 379 00:18:44,760 --> 00:18:47,280 Speaker 1: your mortgage if you buy a home, and so it's 380 00:18:47,320 --> 00:18:51,280 Speaker 1: so far reaching that that's the importance behind having a 381 00:18:51,320 --> 00:18:53,200 Speaker 1: good credit score. Yeah, I mean like it, like it 382 00:18:53,280 --> 00:18:56,080 Speaker 1: or not. Basically, it's becoming something that you need to 383 00:18:56,080 --> 00:18:58,560 Speaker 1: pay attention to. Even if say you buy homes in 384 00:18:58,560 --> 00:19:00,760 Speaker 1: cash and you're just kind of flush. It's something that 385 00:19:00,800 --> 00:19:02,880 Speaker 1: you need to consider because it does affect a lot 386 00:19:02,920 --> 00:19:05,600 Speaker 1: of aspects of your life. Yeah, if you are like 387 00:19:05,720 --> 00:19:08,760 Speaker 1: Richard Branson, rich you probably don't need to worry about 388 00:19:08,760 --> 00:19:12,199 Speaker 1: your credit score, but otherwise you need to know. And 389 00:19:12,240 --> 00:19:16,359 Speaker 1: one last thing randomly, I read this story recently that 390 00:19:16,560 --> 00:19:18,960 Speaker 1: having bad credit can actually hurt you when it comes 391 00:19:19,119 --> 00:19:21,720 Speaker 1: to you dating. So, Matt, we don't have to worry 392 00:19:21,720 --> 00:19:23,680 Speaker 1: about this because we're married. But if you're out there 393 00:19:23,680 --> 00:19:26,439 Speaker 1: and you're still flipping through tender trying to find a 394 00:19:26,440 --> 00:19:29,320 Speaker 1: significant other, or is there a field like on tender 395 00:19:29,359 --> 00:19:31,199 Speaker 1: where you like, you like enter ear and enter in 396 00:19:31,240 --> 00:19:33,160 Speaker 1: your age and then after that, like your credit score, 397 00:19:33,240 --> 00:19:34,800 Speaker 1: don't I don't know. I'm happily married, so I haven't 398 00:19:34,840 --> 00:19:36,920 Speaker 1: been on tender yet, but uh, you know, I don't 399 00:19:36,920 --> 00:19:39,639 Speaker 1: think so. But it was interesting that most people said, 400 00:19:40,080 --> 00:19:42,240 Speaker 1: because again, you know, we we we talked about how 401 00:19:42,320 --> 00:19:46,200 Speaker 1: it's kind of this indicating factor, the credit score of 402 00:19:46,320 --> 00:19:49,760 Speaker 1: your trustworthiness, and so people when they're dating someone else, 403 00:19:50,119 --> 00:19:51,840 Speaker 1: they were asked the question, you know, would you date 404 00:19:51,840 --> 00:19:54,679 Speaker 1: someone with an awful credit score? And most people were like, 405 00:19:55,000 --> 00:19:57,800 Speaker 1: no way, and essentially saying that I don't really trust 406 00:19:57,880 --> 00:20:02,920 Speaker 1: people that have a terribly low credit right, it's so crazy. Yeah, 407 00:20:03,040 --> 00:20:04,679 Speaker 1: what it's thaying is that in the same way that 408 00:20:04,720 --> 00:20:09,440 Speaker 1: businesses and insurance companies are sort of screening people, I mean, 409 00:20:09,520 --> 00:20:12,639 Speaker 1: I guess, uh, folks that are out in the dating 410 00:20:12,640 --> 00:20:15,879 Speaker 1: pool were doing the same thing. And that's interesting. I mean, 411 00:20:15,920 --> 00:20:19,480 Speaker 1: looking back, it's weird to that long long time ago. 412 00:20:19,800 --> 00:20:22,120 Speaker 1: You know, when we were dating people. If someone would 413 00:20:22,119 --> 00:20:24,879 Speaker 1: come up to me and you know, introduce themselves and 414 00:20:24,960 --> 00:20:26,959 Speaker 1: they seem really nice or whatever, but they were like, 415 00:20:27,000 --> 00:20:30,760 Speaker 1: my credit score is probably would have been like, okay, 416 00:20:30,920 --> 00:20:33,920 Speaker 1: you know what I mean, you're a total nerd so too. Yeah, 417 00:20:34,240 --> 00:20:36,240 Speaker 1: but I didn't assume most of what that was back then, 418 00:20:36,680 --> 00:20:39,440 Speaker 1: Whereas I feel like I had an idea of what 419 00:20:39,680 --> 00:20:42,120 Speaker 1: makes up your credit score and like what it means 420 00:20:42,160 --> 00:20:44,560 Speaker 1: but in general, I feel like a lot more has 421 00:20:44,600 --> 00:20:47,119 Speaker 1: kind of come out recently about your credit score and 422 00:20:47,119 --> 00:20:49,120 Speaker 1: what and what it means for you than it did 423 00:20:49,119 --> 00:20:51,320 Speaker 1: back then. Yeah, for sure. Like like we said at 424 00:20:51,320 --> 00:20:53,240 Speaker 1: the beginning, I mean think in the last ten years, 425 00:20:53,720 --> 00:20:55,440 Speaker 1: a lot of change when it comes to credit scores. 426 00:20:55,480 --> 00:20:58,400 Speaker 1: There's a lot more transparency, and we're we have easy 427 00:20:58,440 --> 00:21:00,639 Speaker 1: access toward scores. The world has changed a lot in 428 00:21:00,680 --> 00:21:04,680 Speaker 1: the last ten years. Drill Apparently I was cryogenically frozen, 429 00:21:05,160 --> 00:21:09,160 Speaker 1: so I missed some of it. You and Harrison Ford exactly. 430 00:21:10,000 --> 00:21:12,800 Speaker 1: So yeah, if you are in the dating world, pick 431 00:21:12,840 --> 00:21:15,640 Speaker 1: up your credit score so you can pick up more 432 00:21:15,720 --> 00:21:18,399 Speaker 1: of the opposite gender. So next we're gonna talk about 433 00:21:18,520 --> 00:21:20,840 Speaker 1: basically how to improve your credit score, how to get 434 00:21:20,880 --> 00:21:23,040 Speaker 1: a higher credit score, what you can steps you can 435 00:21:23,040 --> 00:21:26,360 Speaker 1: take that can improve that. And by doing that, we're 436 00:21:26,359 --> 00:21:28,960 Speaker 1: gonna be explaining the makeup of what what you know, 437 00:21:28,960 --> 00:21:30,720 Speaker 1: what goes into a credit score. So we're gonna talk 438 00:21:30,760 --> 00:21:33,960 Speaker 1: about the things that the different companies take into account 439 00:21:34,000 --> 00:21:36,440 Speaker 1: when they're creating your credit score, and we're also gonna 440 00:21:36,440 --> 00:21:39,040 Speaker 1: talk about how to improve those things. And the number 441 00:21:39,359 --> 00:21:43,639 Speaker 1: one thing, and it's weighted averages essentially that they that 442 00:21:43,680 --> 00:21:46,040 Speaker 1: they factor in. So the number one thing that credit 443 00:21:46,040 --> 00:21:49,760 Speaker 1: scoring companies are looking at is your payment history. Yeah, 444 00:21:49,800 --> 00:21:52,280 Speaker 1: of course, duh right. So what that means is that 445 00:21:52,440 --> 00:21:54,439 Speaker 1: if you have payments on a credit card or a 446 00:21:54,440 --> 00:21:57,359 Speaker 1: car loan or student loans even as well, Uh, you 447 00:21:57,400 --> 00:21:59,880 Speaker 1: need to be paying on time or early. That's how 448 00:22:00,000 --> 00:22:03,840 Speaker 1: you're going to keep these different companies happy. Uh, And 449 00:22:03,880 --> 00:22:05,800 Speaker 1: that's how you're going to make sure your payment history 450 00:22:06,040 --> 00:22:10,679 Speaker 1: is is in the clear. And this becomes especially bad. 451 00:22:10,880 --> 00:22:12,520 Speaker 1: If you're you know, a few days late, it's not 452 00:22:12,600 --> 00:22:14,719 Speaker 1: the big of a deal, or even thirty days later 453 00:22:14,760 --> 00:22:16,600 Speaker 1: it might be a small ding. But if you get 454 00:22:16,680 --> 00:22:20,399 Speaker 1: to ninety days late and get essentially delinquent on a 455 00:22:20,400 --> 00:22:23,840 Speaker 1: credit card payment or on a bill payment, uh, that 456 00:22:23,920 --> 00:22:26,280 Speaker 1: can it's really bad. That can really hurt your credit 457 00:22:26,400 --> 00:22:29,320 Speaker 1: in a big way. And if you have a few 458 00:22:29,359 --> 00:22:31,720 Speaker 1: of those on there, that can stay on your credit 459 00:22:31,760 --> 00:22:34,440 Speaker 1: score for seven years and can we really put a 460 00:22:34,520 --> 00:22:37,240 Speaker 1: hurting on you. You start getting out to ninety days 461 00:22:37,240 --> 00:22:41,320 Speaker 1: out to eight days, six months, and different companies will 462 00:22:41,359 --> 00:22:42,800 Speaker 1: start it's just I mean, they call it a charge 463 00:22:42,800 --> 00:22:45,520 Speaker 1: off and basically they consider your debt or your you know, 464 00:22:45,560 --> 00:22:48,240 Speaker 1: your payment uncollectable because they're like, well they haven't paid, 465 00:22:48,400 --> 00:22:51,920 Speaker 1: they're probably not going to pay, and that really really 466 00:22:51,960 --> 00:22:54,960 Speaker 1: negatively affects your your credit score. And like we said earlier, 467 00:22:55,000 --> 00:22:58,000 Speaker 1: your payment history, paying on time or paying early makes 468 00:22:58,080 --> 00:23:01,800 Speaker 1: up of your credit score. So that is hugely important 469 00:23:02,440 --> 00:23:04,919 Speaker 1: and matt Essentially, the time frame that you need to 470 00:23:04,920 --> 00:23:07,359 Speaker 1: know that could have impact your credit score is the 471 00:23:07,359 --> 00:23:09,600 Speaker 1: thirty day mark, in the ninety day mark. And while 472 00:23:09,800 --> 00:23:14,920 Speaker 1: some institutions that you have credit through won't report anything 473 00:23:15,000 --> 00:23:18,159 Speaker 1: until it h's sixty days late, be cognizant that most 474 00:23:18,359 --> 00:23:21,919 Speaker 1: will at thirty days ding a mark on your credit score. 475 00:23:22,200 --> 00:23:24,360 Speaker 1: It could drop your score by a hundred and ten 476 00:23:24,400 --> 00:23:28,040 Speaker 1: points that one mark, And so if you're thirty days late, 477 00:23:28,240 --> 00:23:30,720 Speaker 1: that could be a big problem. Let's say you're shopping 478 00:23:30,760 --> 00:23:32,800 Speaker 1: for a house or a car and you're just about 479 00:23:32,800 --> 00:23:35,480 Speaker 1: to get alone and your your credit score drops a 480 00:23:35,560 --> 00:23:39,520 Speaker 1: hundred and ten points. That could severely impact first whether 481 00:23:39,560 --> 00:23:41,199 Speaker 1: you can even get the loan, and second the rate 482 00:23:41,200 --> 00:23:43,199 Speaker 1: you're gonna pay. Yeah, you may not even qualify for 483 00:23:43,240 --> 00:23:46,080 Speaker 1: that at all. Yeah, So your payment history is huge. 484 00:23:46,080 --> 00:23:48,760 Speaker 1: It's the number one factor. Uh, thirty days late is 485 00:23:48,800 --> 00:23:51,760 Speaker 1: really important to avoid and ninety days later is the 486 00:23:51,800 --> 00:23:53,959 Speaker 1: most important to avoid. And like we said, that can 487 00:23:54,000 --> 00:23:56,920 Speaker 1: stay on your credit report for up to seven years, 488 00:23:57,320 --> 00:24:00,359 Speaker 1: so it can hurt you for a long long time. Further, 489 00:24:00,440 --> 00:24:03,040 Speaker 1: it gets away from being marked up on your credit 490 00:24:03,040 --> 00:24:05,000 Speaker 1: report like a few a few years later. Yeah, the 491 00:24:05,040 --> 00:24:08,600 Speaker 1: better you are, it'll lesson the sting, will lessen fade. Yeah, 492 00:24:08,640 --> 00:24:10,879 Speaker 1: but it will be there and people will see it 493 00:24:10,920 --> 00:24:13,239 Speaker 1: and it will continue to hurt the actual score. And 494 00:24:13,280 --> 00:24:15,760 Speaker 1: so you want to make sure you're paying your bills 495 00:24:15,840 --> 00:24:18,919 Speaker 1: and your debts on time. So the next piece of 496 00:24:18,920 --> 00:24:21,800 Speaker 1: the pie, the next biggest factor that goes into your 497 00:24:21,800 --> 00:24:25,960 Speaker 1: credit score is the amount you oh or like most 498 00:24:26,000 --> 00:24:29,439 Speaker 1: oftentimes too is referred to as your utilization, right, So 499 00:24:29,480 --> 00:24:32,640 Speaker 1: this is where your limits come into play. Let's say 500 00:24:32,640 --> 00:24:34,760 Speaker 1: you have a credit card with a five thousand dollar 501 00:24:34,840 --> 00:24:38,239 Speaker 1: limit and you are using four thousand dollars of that 502 00:24:38,280 --> 00:24:40,919 Speaker 1: limit every month. You're charging four thousand. Even if you 503 00:24:40,960 --> 00:24:44,600 Speaker 1: pay it off every every month in full, you're still 504 00:24:44,680 --> 00:24:47,720 Speaker 1: getting bingked because you're using a high level of your 505 00:24:47,760 --> 00:24:50,720 Speaker 1: available credit. So if you have a five thousand dollar 506 00:24:50,840 --> 00:24:54,359 Speaker 1: limit on your card and you are using five hundred 507 00:24:54,440 --> 00:24:57,080 Speaker 1: dollars every month and paying it off in full. Yeah, 508 00:24:57,119 --> 00:24:59,119 Speaker 1: that's more like it. That is going to be the 509 00:24:59,160 --> 00:25:03,120 Speaker 1: sweet spot in significantly help your credit score because you're 510 00:25:03,160 --> 00:25:06,159 Speaker 1: only utilizing a small amount of your available credit. And 511 00:25:06,200 --> 00:25:11,240 Speaker 1: this credit utilization factor is a full thirty of what 512 00:25:11,320 --> 00:25:14,959 Speaker 1: influences your credit score. So combine the credit utilization with 513 00:25:15,040 --> 00:25:18,040 Speaker 1: your payment history, that makes up almost two thirds of 514 00:25:18,080 --> 00:25:20,200 Speaker 1: your score. So these are the biggest two factors that 515 00:25:20,240 --> 00:25:22,040 Speaker 1: play into having a high credit score. You know, you 516 00:25:22,119 --> 00:25:24,200 Speaker 1: touched on some of the percentages there, but some other 517 00:25:24,200 --> 00:25:27,440 Speaker 1: percentages too. Is that like you said five for five thousand. 518 00:25:28,119 --> 00:25:31,119 Speaker 1: You said that because that gets us to that is 519 00:25:31,160 --> 00:25:33,200 Speaker 1: the magical number. Yeah, that's that's kind of a key, 520 00:25:33,359 --> 00:25:37,000 Speaker 1: a key percentage right there. A lot of folks will say, 521 00:25:37,320 --> 00:25:40,920 Speaker 1: and that's definitely great, that's that's safe. Being below thirty 522 00:25:41,040 --> 00:25:43,160 Speaker 1: is like getting a be on a paper. Yeah, being 523 00:25:43,240 --> 00:25:45,600 Speaker 1: at ten per center below is like getting a plus. Yeah. 524 00:25:45,640 --> 00:25:48,320 Speaker 1: Different experts are now saying that essentially the lower you 525 00:25:48,320 --> 00:25:50,960 Speaker 1: can get it, the better because creditors they want to 526 00:25:51,000 --> 00:25:54,159 Speaker 1: see that like, yes, you qualify for that loan or 527 00:25:54,160 --> 00:25:56,280 Speaker 1: that credit card, but you're not really using it because 528 00:25:56,320 --> 00:26:00,639 Speaker 1: you don't really need it. Your fancy and essentially that 529 00:26:00,920 --> 00:26:02,639 Speaker 1: it seems that the lower you can you can get it, 530 00:26:03,200 --> 00:26:05,280 Speaker 1: the better. There are no like sort of hard fast 531 00:26:05,359 --> 00:26:09,200 Speaker 1: rules because again all these different companies have different formulas 532 00:26:09,240 --> 00:26:11,959 Speaker 1: and sort of different algorithms that go into creating your 533 00:26:11,960 --> 00:26:16,080 Speaker 1: credit score. But that is pretty clear that the lower 534 00:26:16,119 --> 00:26:19,800 Speaker 1: you can keep your credit utilization rate the better. Yeah, 535 00:26:19,840 --> 00:26:22,879 Speaker 1: and they're kind of secretive sometimes about exactly what comprises, 536 00:26:23,680 --> 00:26:25,879 Speaker 1: uh some of the specifics on these right, so that 537 00:26:26,240 --> 00:26:28,159 Speaker 1: FICO is not coming out and saying and experience not 538 00:26:28,200 --> 00:26:31,040 Speaker 1: coming out and saying this is exactly the percentage you 539 00:26:31,040 --> 00:26:33,560 Speaker 1: should stay under to have the maximum score. So some 540 00:26:33,640 --> 00:26:37,000 Speaker 1: of these things are people know from kind of experience 541 00:26:37,000 --> 00:26:39,040 Speaker 1: and looking at their own scores and studies that have 542 00:26:39,080 --> 00:26:41,200 Speaker 1: been done about credit scores and some of the things 543 00:26:41,200 --> 00:26:44,160 Speaker 1: that the actual credit bureaus have put out themselves as well. 544 00:26:44,440 --> 00:26:46,879 Speaker 1: We have a really good understanding, but we don't have 545 00:26:46,960 --> 00:26:49,639 Speaker 1: a perfect understanding that we can say these are the 546 00:26:49,760 --> 00:26:53,119 Speaker 1: hard and fast rules. But from what we've experienced and 547 00:26:53,160 --> 00:26:57,000 Speaker 1: seen and read, under ten percent credit utilization is going 548 00:26:57,040 --> 00:26:59,679 Speaker 1: to be the sweet spot for you. So it's hit 549 00:26:59,760 --> 00:27:01,840 Speaker 1: then as a way to be able to keep your 550 00:27:01,920 --> 00:27:05,720 Speaker 1: your utilization rate lower is check in with your credit 551 00:27:05,760 --> 00:27:07,719 Speaker 1: card and see if you can up your limit, if 552 00:27:07,720 --> 00:27:10,439 Speaker 1: you kind of find yourself consistently, you know, pushing that 553 00:27:10,480 --> 00:27:13,800 Speaker 1: tin and even even more so that see if you 554 00:27:13,800 --> 00:27:17,119 Speaker 1: can increase your limit, and essentially you're utilizing less of 555 00:27:17,160 --> 00:27:19,320 Speaker 1: the credit that you're allowed to use. And I will 556 00:27:19,359 --> 00:27:21,760 Speaker 1: say that works and a lot of time if you're 557 00:27:21,880 --> 00:27:24,880 Speaker 1: handling your credit well. But sometimes if you reach out 558 00:27:24,880 --> 00:27:26,639 Speaker 1: to your credit card company and ask her a higher 559 00:27:26,640 --> 00:27:29,360 Speaker 1: limit while showing that you haven't handled credit very well 560 00:27:29,400 --> 00:27:31,640 Speaker 1: in the past, they might get a little worried. Yeah, 561 00:27:31,680 --> 00:27:34,800 Speaker 1: we won't want to look as good. Yeah, it will 562 00:27:34,840 --> 00:27:38,080 Speaker 1: affect your credit temporarily. It's weird because you need to 563 00:27:38,160 --> 00:27:39,760 Speaker 1: be able to do those things in order to increase 564 00:27:39,800 --> 00:27:41,199 Speaker 1: your limit, but at the same time, every time you 565 00:27:41,200 --> 00:27:44,040 Speaker 1: do that, it affects your credit score negatively. I like 566 00:27:44,119 --> 00:27:46,159 Speaker 1: to think of it almost as like you're opening the 567 00:27:46,200 --> 00:27:48,399 Speaker 1: fridge or like the freezer. It's like you got to 568 00:27:48,440 --> 00:27:49,879 Speaker 1: open it and see what's in there. It's sort of 569 00:27:49,880 --> 00:27:51,919 Speaker 1: like when you're kind of checking your credit score, and 570 00:27:51,920 --> 00:27:53,560 Speaker 1: it's going to kind of the lower the temperature a 571 00:27:53,600 --> 00:27:55,520 Speaker 1: little bit every time you do that. But like that's 572 00:27:55,560 --> 00:27:57,520 Speaker 1: what's necessary to get what you need out of the 573 00:27:57,600 --> 00:28:00,040 Speaker 1: fridge um and then that's a good way to it, 574 00:28:00,520 --> 00:28:02,240 Speaker 1: and then long term you'll be able to kind of 575 00:28:02,320 --> 00:28:05,399 Speaker 1: build from there. Yeah. So if you're handling your credit 576 00:28:05,440 --> 00:28:08,200 Speaker 1: pretty well, it's more than reasonable to reach out to 577 00:28:08,280 --> 00:28:10,520 Speaker 1: one of your credit card companies and say, hey, it's 578 00:28:10,520 --> 00:28:12,040 Speaker 1: just wondering if I could get a five thousand dollar 579 00:28:12,119 --> 00:28:15,120 Speaker 1: limit increase, and if they grant that to you, that 580 00:28:15,320 --> 00:28:18,719 Speaker 1: will definitely help your utilization rate. Just make sure that 581 00:28:18,760 --> 00:28:21,439 Speaker 1: once you get that increase in limit, that doesn't increase 582 00:28:21,440 --> 00:28:24,080 Speaker 1: your spending. Yeah. Just so those are the first two 583 00:28:24,240 --> 00:28:27,280 Speaker 1: factors that go into the makeup of your credit score. 584 00:28:27,320 --> 00:28:30,320 Speaker 1: What's the next one? The age of credit and the 585 00:28:30,440 --> 00:28:32,800 Speaker 1: length of your credit history. So this makes that fift 586 00:28:33,720 --> 00:28:37,959 Speaker 1: of your credit score, and essentially your creditors and the 587 00:28:38,040 --> 00:28:40,600 Speaker 1: financial institutions they want to see that you've had a 588 00:28:40,640 --> 00:28:44,440 Speaker 1: long history of paying your bills. So you eight year 589 00:28:44,440 --> 00:28:47,280 Speaker 1: olds out there, you better be crushing it on this. Okay, 590 00:28:47,520 --> 00:28:50,520 Speaker 1: there swollen on their history, Yeah they are, and on 591 00:28:50,560 --> 00:28:53,520 Speaker 1: the shuffle board. Yeah, I mean this one is it's 592 00:28:53,560 --> 00:28:57,000 Speaker 1: pretty simple. Essentially, the longer you've had accounts open where 593 00:28:57,000 --> 00:29:00,480 Speaker 1: you've paid on time and kind of kept up with it, 594 00:29:00,720 --> 00:29:03,120 Speaker 1: the better is gonna look. Um, when's when's the first 595 00:29:03,120 --> 00:29:05,239 Speaker 1: time you got a credit card? Remember when you when 596 00:29:05,280 --> 00:29:07,360 Speaker 1: your first credit card was? Gosh, I want to say 597 00:29:07,440 --> 00:29:11,920 Speaker 1: it was almost towards the end of college, okay, which 598 00:29:11,960 --> 00:29:13,600 Speaker 1: was probably good for me. I didn't know a whole 599 00:29:13,640 --> 00:29:15,640 Speaker 1: lot about money. I knew I was cheap, but I 600 00:29:15,680 --> 00:29:18,680 Speaker 1: didn't really know how to handle money at that point. 601 00:29:18,720 --> 00:29:19,920 Speaker 1: And so if I had gotten a credit card, I 602 00:29:20,240 --> 00:29:22,239 Speaker 1: don't think I would have bought crazy stuff, but I 603 00:29:22,280 --> 00:29:24,719 Speaker 1: wouldn't have known how to utilize credit well at the 604 00:29:24,760 --> 00:29:27,200 Speaker 1: age of like eighteen or nineteen. Yeah, it was twenty 605 00:29:27,240 --> 00:29:29,280 Speaker 1: because when I look at you, and we'll talk about 606 00:29:29,320 --> 00:29:30,480 Speaker 1: later how you can kind of look at some of 607 00:29:30,520 --> 00:29:33,240 Speaker 1: the details about your credit and some great resources to use. 608 00:29:33,400 --> 00:29:35,800 Speaker 1: But when I look at one of those resources, credit Carma, 609 00:29:36,200 --> 00:29:38,160 Speaker 1: it essentially tells me how long my credit history is, 610 00:29:38,200 --> 00:29:40,400 Speaker 1: and it's fourteen years. So I was twenty years old 611 00:29:40,400 --> 00:29:42,800 Speaker 1: when I got my first credit card. Nice man. Yeah, 612 00:29:42,840 --> 00:29:45,960 Speaker 1: I remember getting mine, and I think I had just 613 00:29:46,000 --> 00:29:49,680 Speaker 1: got my driver's license. But there's there's rules now as 614 00:29:49,680 --> 00:29:52,520 Speaker 1: far as what credit cards and what different companies are 615 00:29:52,600 --> 00:29:55,800 Speaker 1: able to offer teenagers. Do you know what those laws 616 00:29:55,800 --> 00:29:58,200 Speaker 1: are because I don't Yeah, you're not able to offer 617 00:29:58,640 --> 00:30:01,240 Speaker 1: people under the age of eighteen, Okay, that's credit cards anymore. 618 00:30:01,240 --> 00:30:03,240 Speaker 1: And so the sweet spot for you to get a 619 00:30:03,520 --> 00:30:05,720 Speaker 1: get a credit card, to sign up and you know, 620 00:30:05,760 --> 00:30:08,160 Speaker 1: if we have people listening who are aged eighteen to 621 00:30:08,200 --> 00:30:10,680 Speaker 1: twenty two and are in college, that's the time to 622 00:30:10,840 --> 00:30:13,000 Speaker 1: get credit and use it wisely. You start using it 623 00:30:13,040 --> 00:30:16,000 Speaker 1: wisely because once you get out of college, if you 624 00:30:16,040 --> 00:30:19,120 Speaker 1: don't have any credit history, it's tough. It's tough to 625 00:30:19,160 --> 00:30:21,240 Speaker 1: get a credit card, and it's tough to get started. 626 00:30:21,640 --> 00:30:23,880 Speaker 1: They're really willing to offer you credit if you're in 627 00:30:24,000 --> 00:30:27,000 Speaker 1: college as a student, or if you're you're just doing 628 00:30:27,080 --> 00:30:29,640 Speaker 1: that general age range, it's easier, but once you get 629 00:30:29,640 --> 00:30:31,640 Speaker 1: out of that, it's it becomes a lot harder to 630 00:30:31,720 --> 00:30:33,640 Speaker 1: get credit and established credit. So you're gonna want to 631 00:30:33,680 --> 00:30:35,840 Speaker 1: make sure you start it. Then. Yeah, they say, oh, 632 00:30:35,880 --> 00:30:37,840 Speaker 1: you're twenty three or twenty four, I see you have 633 00:30:37,840 --> 00:30:39,560 Speaker 1: a job. How come you've never had a credit card. 634 00:30:39,720 --> 00:30:41,560 Speaker 1: And it's sort of like this sort of catch twenty 635 00:30:41,560 --> 00:30:45,000 Speaker 1: two thing where you need to have credit to get credit, 636 00:30:45,280 --> 00:30:48,560 Speaker 1: but you should have a job before you start racking 637 00:30:48,680 --> 00:30:51,320 Speaker 1: up credit. Card debt. So if you're in college and 638 00:30:51,400 --> 00:30:54,320 Speaker 1: you get a credit card, really like buy your gas 639 00:30:54,880 --> 00:30:56,480 Speaker 1: with the credit card or something and pay that off 640 00:30:56,480 --> 00:30:59,040 Speaker 1: every month. But don't don't start willy nilly using it 641 00:30:59,080 --> 00:31:01,560 Speaker 1: all over the place. Be smart. And one other really 642 00:31:01,560 --> 00:31:04,520 Speaker 1: important thing to mention about the age of credit length 643 00:31:04,520 --> 00:31:08,200 Speaker 1: of credit history factor is people ask the question all 644 00:31:08,200 --> 00:31:11,640 Speaker 1: the time like should I close this credit card, And 645 00:31:11,680 --> 00:31:16,040 Speaker 1: the answer is almost always no, because this is an 646 00:31:16,080 --> 00:31:19,600 Speaker 1: important part of your credit score, and if you close 647 00:31:19,640 --> 00:31:23,120 Speaker 1: that card, it is essentially you are hurting. First, your 648 00:31:23,120 --> 00:31:27,200 Speaker 1: credit utilization basically brings down the total amount of credit 649 00:31:27,280 --> 00:31:30,600 Speaker 1: that you have been offered, right, So just increasing your 650 00:31:30,920 --> 00:31:34,080 Speaker 1: basically increasing your credit utilization rate. Yeah, and it also 651 00:31:34,240 --> 00:31:36,760 Speaker 1: then if you've had that credit card for a number 652 00:31:36,760 --> 00:31:39,600 Speaker 1: of years, it takes away from that that's been building 653 00:31:39,680 --> 00:31:43,520 Speaker 1: to this, adding to your length of history. So just 654 00:31:43,560 --> 00:31:45,440 Speaker 1: put it in a drawer somewhere or use it once 655 00:31:45,480 --> 00:31:47,680 Speaker 1: a year to kind of keep it mildly active. But 656 00:31:47,800 --> 00:31:50,160 Speaker 1: don't get rid of it altogether because if you do that, 657 00:31:50,200 --> 00:31:53,640 Speaker 1: you're gonna actually hurt your credit score. Unless you have 658 00:31:53,680 --> 00:31:56,040 Speaker 1: a credit card that has an annual fee. So if 659 00:31:56,080 --> 00:31:58,720 Speaker 1: you've got a like an annual fee on a card 660 00:31:58,760 --> 00:32:00,560 Speaker 1: that's just sitting around and you're not used it. Please 661 00:32:00,560 --> 00:32:03,000 Speaker 1: don't keep that around. Yeah, it'll it'll definitely doing your 662 00:32:03,000 --> 00:32:05,320 Speaker 1: credit to close it. But don't be so afraid to 663 00:32:05,320 --> 00:32:07,840 Speaker 1: close an account, uh that you're going to keep this 664 00:32:07,880 --> 00:32:10,120 Speaker 1: card sitting around that you're not using, that you're paying 665 00:32:10,160 --> 00:32:13,320 Speaker 1: every year on because they've got a stupid annual fee. Uh, 666 00:32:13,440 --> 00:32:14,920 Speaker 1: just because you don't want to hurt your credit. Yeah, 667 00:32:15,000 --> 00:32:17,400 Speaker 1: let's ding it a little bit, but it'll recover, it'll 668 00:32:17,400 --> 00:32:20,400 Speaker 1: be fine. Yeah. And let's say you're not shopping for 669 00:32:20,440 --> 00:32:23,880 Speaker 1: a car a mortgage in the next six months. Yes, uh, 670 00:32:24,000 --> 00:32:26,320 Speaker 1: then you can close a card like with an annual fee. 671 00:32:26,360 --> 00:32:27,480 Speaker 1: That's when you can do it. If you're in the 672 00:32:27,520 --> 00:32:29,800 Speaker 1: middle of shopping for something. Don't make any changes to 673 00:32:29,840 --> 00:32:32,640 Speaker 1: your credit, no big changes, no big changes. But if 674 00:32:32,680 --> 00:32:35,880 Speaker 1: you don't have anything that you're shopping for, go ahead, 675 00:32:36,080 --> 00:32:38,120 Speaker 1: close that card with the annual fee. Save the ninety 676 00:32:38,160 --> 00:32:40,720 Speaker 1: five dollars a year. You might, you know, drop twenty 677 00:32:41,160 --> 00:32:43,720 Speaker 1: pots in your credit score, but that will recover over 678 00:32:43,720 --> 00:32:46,240 Speaker 1: the next quick six months and be back close to normal. 679 00:32:46,680 --> 00:32:48,720 Speaker 1: So then the next one, man is the type of 680 00:32:48,720 --> 00:32:51,360 Speaker 1: credit that you have or like they basically your your 681 00:32:51,400 --> 00:32:54,080 Speaker 1: credit mix um. And so what we mean by that 682 00:32:54,280 --> 00:32:56,880 Speaker 1: is that creditors want to see that you have a 683 00:32:57,240 --> 00:33:01,040 Speaker 1: nice sort of portfolio essentially of credit that you've been offered. 684 00:33:01,200 --> 00:33:02,840 Speaker 1: Creditors want to see that you've got like you know, 685 00:33:02,920 --> 00:33:05,480 Speaker 1: like a mortgage, a car loan, credit card, student loans, 686 00:33:05,480 --> 00:33:07,640 Speaker 1: like all these different kinds of credit that you cant 687 00:33:07,680 --> 00:33:11,680 Speaker 1: imply for. It's just, I know, explaining this and thinking 688 00:33:11,720 --> 00:33:14,600 Speaker 1: through it, it is super weird. They're saying, you have 689 00:33:14,720 --> 00:33:16,880 Speaker 1: all this credit available to you, but don't use very 690 00:33:16,960 --> 00:33:18,840 Speaker 1: much of it. Have a whole equity line and a 691 00:33:18,880 --> 00:33:20,960 Speaker 1: mortgage in a credit card and blah blah blah blah blah, 692 00:33:21,200 --> 00:33:25,160 Speaker 1: but use like an incredibly infinitessimal amount of that credit 693 00:33:25,200 --> 00:33:28,920 Speaker 1: that is available to you. It's super weird. But this 694 00:33:29,040 --> 00:33:31,440 Speaker 1: is the way the credit scoring system works, how it's 695 00:33:31,480 --> 00:33:34,080 Speaker 1: made up. And you've got to play the game because 696 00:33:34,560 --> 00:33:36,400 Speaker 1: you really is like a game, isn't it. It's like 697 00:33:36,440 --> 00:33:38,280 Speaker 1: a game. It's like a game, and you want the 698 00:33:38,320 --> 00:33:41,000 Speaker 1: lowest rates, and so you've got to play this game, uh, 699 00:33:41,040 --> 00:33:44,000 Speaker 1: to get it right so that you're saving the most money. Yeah, 700 00:33:44,000 --> 00:33:46,880 Speaker 1: And that being said, this only makes up of your score. 701 00:33:47,040 --> 00:33:50,239 Speaker 1: So don't get a car loan just because you're thinking like, oh, 702 00:33:50,240 --> 00:33:51,760 Speaker 1: I want to get my credit score up, I want 703 00:33:51,760 --> 00:33:54,120 Speaker 1: to get my credit scoring by the car and get 704 00:33:54,120 --> 00:33:56,280 Speaker 1: a loan. Yeah, please do not do that. This is 705 00:33:56,280 --> 00:33:58,240 Speaker 1: only ten percent. So we're kind of getting down to 706 00:33:58,240 --> 00:34:00,719 Speaker 1: the bottom of the list now where these things aren't 707 00:34:00,800 --> 00:34:03,280 Speaker 1: you know, having nearly as much of an effect on 708 00:34:03,280 --> 00:34:06,280 Speaker 1: your credit score. It still has an impact, but you know, 709 00:34:06,440 --> 00:34:09,719 Speaker 1: nothing close to like your payment history or your utilization rate. 710 00:34:09,800 --> 00:34:12,560 Speaker 1: But if you do find find yourself having you know, 711 00:34:12,760 --> 00:34:15,760 Speaker 1: very few lines of credit, you know what, consider opening 712 00:34:15,840 --> 00:34:18,680 Speaker 1: up another credit card or two that don't have an 713 00:34:18,680 --> 00:34:20,520 Speaker 1: annual fee so that you know you're not gonna be 714 00:34:20,560 --> 00:34:23,160 Speaker 1: angry every year when you get that bill in the mail. Uh, 715 00:34:23,200 --> 00:34:25,759 Speaker 1: and take out those credit lines and just you know, 716 00:34:25,880 --> 00:34:29,760 Speaker 1: barely use them and pay them off. And so having 717 00:34:29,800 --> 00:34:33,720 Speaker 1: those extra lines of credit can help this ten percent factor, 718 00:34:34,040 --> 00:34:36,520 Speaker 1: and then over time can actually go to helping your 719 00:34:36,600 --> 00:34:38,600 Speaker 1: length of credit history as well. So it can kind 720 00:34:38,600 --> 00:34:41,520 Speaker 1: of have this like double whammy effect or triple wammy 721 00:34:41,600 --> 00:34:44,919 Speaker 1: essentially because it's helping your credit utilization at the same time. 722 00:34:45,600 --> 00:34:47,440 Speaker 1: All right, Matt, in the last factor, we're getting to 723 00:34:47,440 --> 00:34:50,320 Speaker 1: the bottom here is hard inquiries for new credit account 724 00:34:50,320 --> 00:34:53,040 Speaker 1: for ten percent of that piece of the pie when 725 00:34:53,040 --> 00:34:55,680 Speaker 1: it comes to your credit score. Yeah, basically, what would 726 00:34:55,719 --> 00:34:59,080 Speaker 1: mean by that is shopping for new credit. So whether 727 00:34:59,120 --> 00:35:03,080 Speaker 1: that means trying to get an Alan, uh, new car 728 00:35:03,120 --> 00:35:06,240 Speaker 1: loans so maybe a home equity loan. Maybe that means 729 00:35:06,440 --> 00:35:09,560 Speaker 1: kind of applying for a new credit card. These are 730 00:35:09,600 --> 00:35:12,600 Speaker 1: all hard inquiries on your credit. And what we mean 731 00:35:12,640 --> 00:35:14,799 Speaker 1: by that is an example of a soft inquiry is 732 00:35:15,120 --> 00:35:19,439 Speaker 1: you checking your credit score. Um, that's something that will 733 00:35:19,440 --> 00:35:22,360 Speaker 1: not affect your credit score long term and uh, and 734 00:35:22,719 --> 00:35:25,680 Speaker 1: you can do that, that's fine. However, applying for new 735 00:35:25,719 --> 00:35:32,200 Speaker 1: credit hard inquiry, and that will drop your credit temporarily. 736 00:35:32,200 --> 00:35:34,520 Speaker 1: It's not like a huge thing. Again, we're towards the 737 00:35:34,520 --> 00:35:37,360 Speaker 1: bottom of the list here and this is only but 738 00:35:37,880 --> 00:35:39,480 Speaker 1: keep that in mind. You don't want to just kind 739 00:35:39,480 --> 00:35:42,160 Speaker 1: of constantly shot for new credit cards. That being said, 740 00:35:42,480 --> 00:35:46,080 Speaker 1: in the past, I was looking before preparing for this podcast, 741 00:35:46,160 --> 00:35:50,600 Speaker 1: and I've got seven hard inquiries on what you're shopping for. Man, 742 00:35:51,280 --> 00:35:53,400 Speaker 1: So if you guys don't already know this, I'm a 743 00:35:53,400 --> 00:35:56,319 Speaker 1: super nerd and what that means is that I'm constantly 744 00:35:56,600 --> 00:36:00,319 Speaker 1: working the credit cards, the sign up bonuses, and there's 745 00:36:00,320 --> 00:36:02,520 Speaker 1: some sick bonuses out and you just took advantage of 746 00:36:02,520 --> 00:36:04,920 Speaker 1: a really great one. We're gonna do it an entire episode. 747 00:36:04,960 --> 00:36:07,320 Speaker 1: I think on on work in the credit card system, 748 00:36:07,360 --> 00:36:10,160 Speaker 1: I think, but I'm a big fan of doing that. Essentially, 749 00:36:10,200 --> 00:36:12,040 Speaker 1: every three months, I try to get into credit card 750 00:36:12,080 --> 00:36:15,279 Speaker 1: with like anywhere between a three to eight hundred dollar 751 00:36:15,560 --> 00:36:18,120 Speaker 1: sign up bonus, as long as you spend a certain 752 00:36:18,120 --> 00:36:21,880 Speaker 1: amount within you know, typically three months. So that's why 753 00:36:21,920 --> 00:36:24,600 Speaker 1: that's why I've got a solid seven hard inquiries, which 754 00:36:24,680 --> 00:36:26,440 Speaker 1: is it kind of surprised me when I saw it, 755 00:36:26,480 --> 00:36:27,879 Speaker 1: but every one of those I was like, oh, yeah, 756 00:36:27,960 --> 00:36:29,840 Speaker 1: that's me when yeah, the last one you signed up 757 00:36:29,840 --> 00:36:32,799 Speaker 1: for was an eight hundred dollar bonus. Yeah yeah, that 758 00:36:33,000 --> 00:36:35,440 Speaker 1: was a That was the business card which I was 759 00:36:35,520 --> 00:36:39,040 Speaker 1: able to open through my photography company. But I mean 760 00:36:39,080 --> 00:36:42,400 Speaker 1: I used it for for photography expenses and and I 761 00:36:42,400 --> 00:36:46,120 Speaker 1: got I got that hundred dollars. Yes, Essentially, watch out 762 00:36:46,200 --> 00:36:48,160 Speaker 1: when you're applying for credit. Just make sure you're not 763 00:36:48,200 --> 00:36:51,560 Speaker 1: applying for credit all over the place. But one caveat 764 00:36:51,640 --> 00:36:54,239 Speaker 1: is that if you're applying for a mortgage or car loan, 765 00:36:54,920 --> 00:36:57,480 Speaker 1: usually if you're applying within a two week period for 766 00:36:57,800 --> 00:37:00,239 Speaker 1: mortgages and you're you know, essentially shopping with a few 767 00:37:00,239 --> 00:37:02,480 Speaker 1: different lenders, and same thing if you're buying a car, 768 00:37:02,560 --> 00:37:04,640 Speaker 1: you're shopping with a few different lenders, your credit union, 769 00:37:04,640 --> 00:37:07,920 Speaker 1: a bank, trying to get alone. If it's within that 770 00:37:07,960 --> 00:37:10,800 Speaker 1: two week period, they will count it as one hard inquiry. 771 00:37:11,040 --> 00:37:13,320 Speaker 1: So don't be worried about that. Make sure you're shopping 772 00:37:13,360 --> 00:37:16,160 Speaker 1: around for your mortgage or car loans. That's way, that's great. Yeah, 773 00:37:16,160 --> 00:37:18,560 Speaker 1: that's way more important than you know, feeling like you're, oh, 774 00:37:18,560 --> 00:37:20,919 Speaker 1: I'm gonna doing my credit Like who cares? Your credit 775 00:37:20,960 --> 00:37:23,960 Speaker 1: will recover. It's like constantly as long as you're as 776 00:37:24,000 --> 00:37:25,520 Speaker 1: long as you're paying, you know, paying it off, like 777 00:37:25,760 --> 00:37:28,880 Speaker 1: doing the big things, it will recover. And what's more important, 778 00:37:29,080 --> 00:37:31,480 Speaker 1: way more important, I think is is shopping around and 779 00:37:31,520 --> 00:37:34,279 Speaker 1: making sure you're getting a competitive rate, finding a lender 780 00:37:34,320 --> 00:37:37,000 Speaker 1: that's not gonna really hit you with a ton of 781 00:37:37,080 --> 00:37:41,479 Speaker 1: ridiculous closing costs. Yeah, so shop hard, shop around, but 782 00:37:41,480 --> 00:37:43,239 Speaker 1: but do it inside of two weeks so that you 783 00:37:43,239 --> 00:37:46,359 Speaker 1: can limit that exposure to your credit score. So those 784 00:37:46,400 --> 00:37:49,000 Speaker 1: are the essentially those are the five biggest things that 785 00:37:49,040 --> 00:37:52,279 Speaker 1: weigh into your credit score. Right, So I'll run down 786 00:37:52,360 --> 00:37:56,360 Speaker 1: real quick payment history, your credit utilization, your age of credit, 787 00:37:56,520 --> 00:37:59,919 Speaker 1: length of credit history, types of credit in your credit mix, 788 00:38:00,120 --> 00:38:03,200 Speaker 1: and hard inquiries for new credit, and we will essentially 789 00:38:03,200 --> 00:38:06,200 Speaker 1: put that pie chart in the show notes on our website. Yeah, 790 00:38:06,200 --> 00:38:07,799 Speaker 1: those are all good things to keep in mind. Yeah, 791 00:38:07,840 --> 00:38:10,280 Speaker 1: so you can check it out. It's really really helpful 792 00:38:10,360 --> 00:38:12,480 Speaker 1: just to kind of visualize it and think through it 793 00:38:12,560 --> 00:38:16,080 Speaker 1: when you're considering your credit score and how to make 794 00:38:16,080 --> 00:38:18,799 Speaker 1: it better. So we're talking about what makes up, you know, 795 00:38:18,840 --> 00:38:21,040 Speaker 1: your credit score, let's actually talk about how you can 796 00:38:21,080 --> 00:38:24,920 Speaker 1: find your your credit score. Sure. So, Yeah, there's a 797 00:38:24,960 --> 00:38:27,279 Speaker 1: couple of websites that I prefer to use and that 798 00:38:27,400 --> 00:38:30,520 Speaker 1: I think are really the best out there for keeping 799 00:38:30,560 --> 00:38:32,560 Speaker 1: track of your credit score, for tools that can kind 800 00:38:32,560 --> 00:38:34,560 Speaker 1: of help you kind of stay on top of it. Um, 801 00:38:34,800 --> 00:38:39,279 Speaker 1: my favorite is discovers tool Discover Who is a credit 802 00:38:39,320 --> 00:38:41,440 Speaker 1: card Company's my favorite? Yeah, it's how you're gonna say 803 00:38:41,440 --> 00:38:43,080 Speaker 1: one of the other one. It's awesome, Man, I just 804 00:38:43,120 --> 00:38:46,200 Speaker 1: love that one because it's really simple. It's called credit 805 00:38:46,280 --> 00:38:48,560 Speaker 1: scorecard dot com. You know a lot of the other 806 00:38:48,600 --> 00:38:50,400 Speaker 1: credit cards are doing it. Nouncing like a max and 807 00:38:50,680 --> 00:38:54,000 Speaker 1: uh capital one. Yeah, so essentially do now almost Yeah, 808 00:38:54,040 --> 00:38:56,080 Speaker 1: like I said ten years ago Washington Mutual, it was 809 00:38:56,120 --> 00:38:58,440 Speaker 1: like this like lone Ranger giving people their credit scores, 810 00:38:58,680 --> 00:39:01,240 Speaker 1: and now you can get your credit score from almost 811 00:39:01,320 --> 00:39:03,600 Speaker 1: any credit card that you have. Um, I just like, 812 00:39:03,680 --> 00:39:06,879 Speaker 1: you know, I'm really weird about how things look, and 813 00:39:07,719 --> 00:39:10,880 Speaker 1: the simplicity of things and and discovers website makes it 814 00:39:10,960 --> 00:39:13,600 Speaker 1: really easy to find out exactly what I want to know. 815 00:39:14,000 --> 00:39:15,720 Speaker 1: Like the line graph where it kind of like tracks 816 00:39:15,719 --> 00:39:17,759 Speaker 1: it across. I like that, and I just I just 817 00:39:17,800 --> 00:39:20,120 Speaker 1: like the simplicity of not being like marauded by pop 818 00:39:20,200 --> 00:39:22,560 Speaker 1: ups and stuff like that, and so just nice and clean. 819 00:39:22,920 --> 00:39:24,400 Speaker 1: You know what, I put in my information and I 820 00:39:24,440 --> 00:39:27,360 Speaker 1: see my credit score and I move on. There's a 821 00:39:27,400 --> 00:39:29,000 Speaker 1: lot of websites out there too that that will say 822 00:39:29,000 --> 00:39:31,120 Speaker 1: that they'll give you your credit score for free too, 823 00:39:31,280 --> 00:39:36,879 Speaker 1: that are legitimately free. Our credit Sesame and credit Carma. Yeah, 824 00:39:36,880 --> 00:39:38,880 Speaker 1: those are grave views of those. I actually personally I 825 00:39:38,880 --> 00:39:41,520 Speaker 1: have not used that as they're both fantastic sites and 826 00:39:41,560 --> 00:39:44,719 Speaker 1: they're free, and essentially they work kind of like Mint does. 827 00:39:44,960 --> 00:39:47,640 Speaker 1: If you use Mint as a budgeting or tracking tool. 828 00:39:47,680 --> 00:39:50,839 Speaker 1: For your money. Uh, and there, you know, occasionally trying 829 00:39:50,840 --> 00:39:53,120 Speaker 1: to sell you a credit card or trying to um 830 00:39:53,160 --> 00:39:57,319 Speaker 1: get you to refinance your loan into something with you know, 831 00:39:57,360 --> 00:40:00,440 Speaker 1: one of their advertisers. But they will give you access 832 00:40:00,480 --> 00:40:03,760 Speaker 1: to your credit score from two of the bureaus, and 833 00:40:04,200 --> 00:40:06,200 Speaker 1: they give you a really good idea of the categories 834 00:40:06,200 --> 00:40:07,719 Speaker 1: in what you're doing well and when it comes to 835 00:40:07,719 --> 00:40:10,759 Speaker 1: credit and the categories what you're doing poorly. So they'll 836 00:40:10,800 --> 00:40:12,680 Speaker 1: they might tell you, for instance, hey, you know what 837 00:40:12,960 --> 00:40:16,560 Speaker 1: credit card utilization, you're kind of a yellow on this 838 00:40:16,640 --> 00:40:19,520 Speaker 1: like green yellow, red scale, and when it comes to 839 00:40:19,560 --> 00:40:22,000 Speaker 1: hard inquiries, you're red right now. So they kind of 840 00:40:22,000 --> 00:40:24,160 Speaker 1: help you understand. They break it down to to how 841 00:40:24,160 --> 00:40:26,720 Speaker 1: it's weighted, which is really nice. Yeah. So these weights 842 00:40:26,719 --> 00:40:28,520 Speaker 1: that we just told you about, you know, they're actually 843 00:40:28,600 --> 00:40:31,600 Speaker 1: kind of telling you here's exactly where you fall under 844 00:40:31,640 --> 00:40:34,959 Speaker 1: those weights and kind of how you can attack fixing them. Yeah. 845 00:40:35,120 --> 00:40:37,479 Speaker 1: So in the show notes, we'll we'll put some links 846 00:40:37,520 --> 00:40:39,160 Speaker 1: on there as well. It's some of the websites, there's 847 00:40:39,239 --> 00:40:40,960 Speaker 1: a lot of and I say that earlier to a 848 00:40:40,960 --> 00:40:43,200 Speaker 1: lot of the websites, they'll give you like a free 849 00:40:43,200 --> 00:40:45,480 Speaker 1: trial and if you don't cancel it, you'll start getting charged. 850 00:40:45,480 --> 00:40:47,560 Speaker 1: And so we'll put the links on there for some 851 00:40:47,640 --> 00:40:49,600 Speaker 1: of the actual free websites where you can get your 852 00:40:49,600 --> 00:40:52,200 Speaker 1: credit score and keep up with it. Yeah. So now 853 00:40:52,280 --> 00:40:55,760 Speaker 1: let's get to a question that a listener posted, uh 854 00:40:55,800 --> 00:40:57,799 Speaker 1: in our Facebook group. He wrote it all out and 855 00:40:57,880 --> 00:40:59,960 Speaker 1: I'm just gonna paraphrase it. Essentially that what he's saying 856 00:41:00,040 --> 00:41:02,160 Speaker 1: is that they had some long term, kind of long 857 00:41:02,160 --> 00:41:05,520 Speaker 1: standing credit card debt and he opened up two or 858 00:41:05,560 --> 00:41:08,880 Speaker 1: actually three new credit cards that had a zero percent 859 00:41:09,000 --> 00:41:12,879 Speaker 1: interest for like one or two years, and so they're 860 00:41:12,880 --> 00:41:16,640 Speaker 1: paying off their old credit card with those, and he 861 00:41:16,760 --> 00:41:21,879 Speaker 1: was wondering why his essentially their credit got dropped pretty significantly, 862 00:41:22,560 --> 00:41:25,319 Speaker 1: uh when when they did that. And this is where 863 00:41:25,320 --> 00:41:27,120 Speaker 1: he's confused. It is because he was thinking, well, we 864 00:41:27,239 --> 00:41:29,920 Speaker 1: increased the amount of credit that you know is offered 865 00:41:29,920 --> 00:41:32,920 Speaker 1: to us, so therefore our utilization rate hasn't changed. But 866 00:41:33,000 --> 00:41:36,440 Speaker 1: what he also said was that those new cards, he 867 00:41:36,560 --> 00:41:41,600 Speaker 1: maxed them out, and I think that's where the problem was. Yeah, so, uh, 868 00:41:41,840 --> 00:41:44,520 Speaker 1: something we didn't necessarily tackle earlier on when we talked 869 00:41:44,560 --> 00:41:48,080 Speaker 1: about credit utilization. There's always been this debate about whether 870 00:41:48,200 --> 00:41:51,680 Speaker 1: it is overall utilization. So let's say you have five 871 00:41:51,800 --> 00:41:57,080 Speaker 1: credit cards. Is it of your overall credit cards or 872 00:41:57,160 --> 00:42:00,719 Speaker 1: is it ten percent of each credit card. So let's 873 00:42:00,719 --> 00:42:03,800 Speaker 1: say you've got five thousand dollars on a five thousand 874 00:42:03,800 --> 00:42:06,640 Speaker 1: dollar card and nothing on the rest. Well, that five 875 00:42:06,680 --> 00:42:09,560 Speaker 1: thousand dollars that you have out against that five thousand 876 00:42:09,560 --> 00:42:11,920 Speaker 1: dollar card is actually gonna digging your credit in a 877 00:42:11,920 --> 00:42:14,680 Speaker 1: pretty big way. It's going to negatively affect your utilization. 878 00:42:14,960 --> 00:42:16,600 Speaker 1: It would be so much better if you had one 879 00:42:16,600 --> 00:42:20,520 Speaker 1: thousand dollars out against all five credit cards, so five 880 00:42:20,520 --> 00:42:24,799 Speaker 1: thousand dollars spread out evenly against all the cards. Yeah, yeah, 881 00:42:24,800 --> 00:42:27,160 Speaker 1: And again, this is something that's kind of it's it's 882 00:42:27,200 --> 00:42:29,400 Speaker 1: it's just kind of fuzzy, right, Like it's something that's 883 00:42:29,440 --> 00:42:31,600 Speaker 1: kind of constantly changing. I don't think this used to 884 00:42:31,680 --> 00:42:33,359 Speaker 1: be the case, but a lot of the experts now 885 00:42:33,400 --> 00:42:36,400 Speaker 1: are saying that it's not sort of this aggregate amount 886 00:42:36,400 --> 00:42:38,160 Speaker 1: of credit that you're offered and you need to stay 887 00:42:38,719 --> 00:42:42,279 Speaker 1: overall underneath and even you know, ten percent is even better. 888 00:42:42,600 --> 00:42:45,560 Speaker 1: It seems now that what experts are saying is that 889 00:42:45,920 --> 00:42:48,520 Speaker 1: we're looking at per card and so trying not to 890 00:42:48,560 --> 00:42:50,880 Speaker 1: exceed ten percent but definitely, you know, no more than 891 00:42:50,920 --> 00:42:54,560 Speaker 1: thirty per card. So if your maxim ount a card, 892 00:42:55,360 --> 00:42:59,279 Speaker 1: even though your total credit utilization hasn't changed, that's gonna 893 00:42:59,360 --> 00:43:01,840 Speaker 1: hurt your score. Yeah, and I will say I actually 894 00:43:01,960 --> 00:43:04,960 Speaker 1: kind of experienced this recently. I, um had to buy 895 00:43:05,000 --> 00:43:07,319 Speaker 1: some things for work and get them reimbursed and so 896 00:43:07,640 --> 00:43:11,000 Speaker 1: on this card that I have a limit on. I 897 00:43:11,080 --> 00:43:13,759 Speaker 1: normally charge you know, probably like two thousand dollars a 898 00:43:13,840 --> 00:43:16,920 Speaker 1: month and a yes, so right at ten percent and 899 00:43:16,960 --> 00:43:19,800 Speaker 1: then uh, but I actually had to up it to 900 00:43:20,000 --> 00:43:22,960 Speaker 1: like almost I think probably just over six grand in 901 00:43:22,960 --> 00:43:25,560 Speaker 1: a recent month, and my credit score dropped probably like 902 00:43:25,600 --> 00:43:27,840 Speaker 1: ten to thirteen points something like that. And so I 903 00:43:27,880 --> 00:43:30,239 Speaker 1: kind of saw that firsthand. It wasn't even like massive, right, 904 00:43:30,280 --> 00:43:33,040 Speaker 1: I wasn't using you know, nineteen thousand dollars out of 905 00:43:33,040 --> 00:43:35,320 Speaker 1: the twenty, but even just bumping it up, the credit 906 00:43:35,360 --> 00:43:37,239 Speaker 1: score just adjusted a little bit just based on that, 907 00:43:37,280 --> 00:43:40,280 Speaker 1: and I was kind of surprised. Um. So, yeah, those 908 00:43:40,360 --> 00:43:45,000 Speaker 1: individual credit cards and your credit utilization on each card matters, 909 00:43:45,320 --> 00:43:47,360 Speaker 1: and you need to pay attention to that. Yeah, and 910 00:43:47,719 --> 00:43:49,960 Speaker 1: we also touched on this earlier too, But every time 911 00:43:50,040 --> 00:43:53,279 Speaker 1: you have a new inquiry for new credit basically, so 912 00:43:53,320 --> 00:43:55,120 Speaker 1: when you every time you apply for a new credit card, 913 00:43:55,560 --> 00:43:57,920 Speaker 1: that's a hard inquiry, and that again makes up ten 914 00:43:57,960 --> 00:44:00,319 Speaker 1: percent of your total credit score. So every time you 915 00:44:00,360 --> 00:44:02,720 Speaker 1: opened up one of those, your credit your credit score dropped. 916 00:44:02,719 --> 00:44:05,560 Speaker 1: And that's something and with those being hard inquiries, that's 917 00:44:05,560 --> 00:44:08,080 Speaker 1: something that's gonna take, I mean a while for that 918 00:44:08,120 --> 00:44:10,400 Speaker 1: to rebound. I mean probably talking six months to a 919 00:44:10,480 --> 00:44:13,480 Speaker 1: year of you know, paying again early or on time 920 00:44:14,040 --> 00:44:15,880 Speaker 1: before you're gonna kind of see that creep back up 921 00:44:15,880 --> 00:44:19,000 Speaker 1: to where you were before. Yeah. Unfortunately, the hard inquiries 922 00:44:19,080 --> 00:44:22,160 Speaker 1: are only ten percent in your credit mix, and they 923 00:44:22,160 --> 00:44:24,279 Speaker 1: only have the most lasting impact for the first six 924 00:44:24,280 --> 00:44:27,400 Speaker 1: months to a year, and so um, that won't last forever. 925 00:44:27,640 --> 00:44:30,880 Speaker 1: And if you can essentially kind of start to spread 926 00:44:30,920 --> 00:44:33,040 Speaker 1: that money out on your of your credit card debt 927 00:44:33,080 --> 00:44:36,839 Speaker 1: between other cards as opposed to maxing out two of them, um, 928 00:44:36,880 --> 00:44:40,320 Speaker 1: that will really dramatically impact the health of your credit score. 929 00:44:40,360 --> 00:44:43,440 Speaker 1: So consider those two things and read. Thanks for the question, 930 00:44:44,280 --> 00:44:46,839 Speaker 1: all right, Matt. Back to the beer dog fish Head 931 00:44:46,960 --> 00:44:51,239 Speaker 1: oak aged Vanilla worldwide stout. I am loving this man. 932 00:44:51,239 --> 00:44:56,560 Speaker 1: This is completely in my wheel house, loving it. Clearly, 933 00:44:56,680 --> 00:45:01,640 Speaker 1: Jill's feeling that seventeen and a half percent. So the 934 00:45:01,680 --> 00:45:04,520 Speaker 1: reason I like it is that it's a big beer. 935 00:45:04,560 --> 00:45:06,800 Speaker 1: It's seventeen and a half percent, But it doesn't drink 936 00:45:06,880 --> 00:45:10,480 Speaker 1: heavy and thick. As I'm drinking it, it feels pretty 937 00:45:10,560 --> 00:45:13,480 Speaker 1: light and delicious. It's definitely sweet and kind of has 938 00:45:13,520 --> 00:45:17,400 Speaker 1: like that caramel e like molasses. Uh for sure. It 939 00:45:17,480 --> 00:45:20,920 Speaker 1: just tastes really roasted dark molasses, just all the good 940 00:45:20,920 --> 00:45:23,919 Speaker 1: things that I like. But it doesn't it doesn't sit heavy. 941 00:45:23,960 --> 00:45:26,000 Speaker 1: I'm not feeling you know, I'll full up with it. 942 00:45:26,120 --> 00:45:31,600 Speaker 1: So Yeah, sometimes I avoid vanilla beers because vanilla can 943 00:45:31,640 --> 00:45:34,880 Speaker 1: be just such like an overwhelming component. Totally chill on this. 944 00:45:35,160 --> 00:45:37,840 Speaker 1: It's perfectly chill. Love it. It's got like just the 945 00:45:37,960 --> 00:45:41,600 Speaker 1: nice vanilla notes. And I'll say too, I really like 946 00:45:41,680 --> 00:45:44,799 Speaker 1: the balance of how sweet it is, Like it's it's 947 00:45:44,880 --> 00:45:48,560 Speaker 1: somewhat sweet with like a nice boozy nous. So like 948 00:45:48,600 --> 00:45:51,480 Speaker 1: what you said at the very beginning of the podcast 949 00:45:51,680 --> 00:45:54,200 Speaker 1: was that it kind of warms you up inside, and 950 00:45:54,360 --> 00:45:56,960 Speaker 1: it's totally doing that right. It's got that boozy nous 951 00:45:57,040 --> 00:46:01,759 Speaker 1: quality that like warms your inerts. It's pretty awesome. Yeah, 952 00:46:01,760 --> 00:46:05,240 Speaker 1: even though it's March, I'll still call this a winter warmer, 953 00:46:05,440 --> 00:46:07,480 Speaker 1: and uh enjoy it. This is like the perfect beer 954 00:46:07,520 --> 00:46:10,359 Speaker 1: for tonight. Man. It's thirty degrees outside right now, and 955 00:46:10,840 --> 00:46:12,959 Speaker 1: I'm happy to be drinking this, no doubt. So thanks 956 00:46:12,960 --> 00:46:15,640 Speaker 1: again to Ryan for the beer, and thanks buddy to 957 00:46:15,920 --> 00:46:19,160 Speaker 1: dog fish Head for taking all the time to make 958 00:46:19,400 --> 00:46:21,480 Speaker 1: a beer this awesome. Yeah, dog fish Head, man, they've 959 00:46:21,520 --> 00:46:23,719 Speaker 1: been around forever. They have. Yeah, they're one of like 960 00:46:23,760 --> 00:46:26,239 Speaker 1: the old school craft craft beer guys, not like Sam 961 00:46:26,280 --> 00:46:28,560 Speaker 1: Adams old school, but like, you know, a couple of 962 00:46:28,600 --> 00:46:32,080 Speaker 1: years after after Sam Adams, dog fish has been around. 963 00:46:32,360 --> 00:46:34,040 Speaker 1: They're like one of the one of the first names 964 00:46:34,080 --> 00:46:35,920 Speaker 1: I feel like I remember seeing out there. They're one 965 00:46:35,920 --> 00:46:40,399 Speaker 1: of my favorite of the nationwide American craft breweries because 966 00:46:40,400 --> 00:46:43,279 Speaker 1: his hand like, they make some awesome beers. And I 967 00:46:43,280 --> 00:46:45,239 Speaker 1: could nerd out right now and go off for like 968 00:46:45,280 --> 00:46:47,279 Speaker 1: ten minutes telling you all the beers I love from 969 00:46:47,280 --> 00:46:49,680 Speaker 1: a dog fish Head. But we're not gonna. We gotta 970 00:46:49,719 --> 00:46:53,040 Speaker 1: wrap up, all right. So essentially the takeaways you need 971 00:46:53,080 --> 00:46:56,560 Speaker 1: to know on how to improve your credit score are First, 972 00:46:56,600 --> 00:46:58,440 Speaker 1: you need to know what a credit score is, and 973 00:46:58,560 --> 00:47:02,160 Speaker 1: it's the tool that financial institutions use to decide whether 974 00:47:02,239 --> 00:47:04,000 Speaker 1: or not to lend you money. More and more, it's 975 00:47:04,000 --> 00:47:06,400 Speaker 1: becoming important, So make sure you're kind of paying attention 976 00:47:06,440 --> 00:47:08,839 Speaker 1: to this. You hear it all the time. It's time 977 00:47:08,880 --> 00:47:11,279 Speaker 1: for you to to look yours up. Why you need 978 00:47:11,400 --> 00:47:15,120 Speaker 1: good credit. It influences the rates you're gonna pay on mortgages, 979 00:47:15,440 --> 00:47:19,000 Speaker 1: car loans, credit cards. It influences whether or not you'll 980 00:47:19,000 --> 00:47:22,279 Speaker 1: be able to rent a home, and possibly whether you'll 981 00:47:22,320 --> 00:47:26,600 Speaker 1: be able to get a job. So the steps you 982 00:47:26,640 --> 00:47:30,520 Speaker 1: can take to improve your credit score, there's five main factors, 983 00:47:30,960 --> 00:47:33,880 Speaker 1: five things that kind of way into your credit score. 984 00:47:33,920 --> 00:47:37,480 Speaker 1: The first and largest one being your payment history. Make 985 00:47:37,520 --> 00:47:40,920 Speaker 1: sure you're paying on time or early. Uh. That's going 986 00:47:40,960 --> 00:47:44,719 Speaker 1: to have the biggest impact on the makeup of your 987 00:47:44,719 --> 00:47:48,600 Speaker 1: credit score. Your credit utilization. It makes up thirty percent 988 00:47:48,600 --> 00:47:51,759 Speaker 1: of your score. And make sure that each card you're 989 00:47:51,840 --> 00:47:55,920 Speaker 1: charging less than thirty percent of the overall available credit 990 00:47:56,360 --> 00:47:58,840 Speaker 1: every month. And you know what, if you can do 991 00:47:58,920 --> 00:48:01,399 Speaker 1: even better than that, it's gonna help your score even more. 992 00:48:01,920 --> 00:48:04,080 Speaker 1: The next thing is the length of your credit history, 993 00:48:04,520 --> 00:48:06,640 Speaker 1: especially if you're younger, you're in college and you don't 994 00:48:06,640 --> 00:48:08,439 Speaker 1: have a credit card, Go ahead and do that now, 995 00:48:08,600 --> 00:48:10,520 Speaker 1: know yourself so that you're not going to get yourself 996 00:48:10,520 --> 00:48:12,600 Speaker 1: into a bunch of credit card debt, But go ahead 997 00:48:12,680 --> 00:48:15,520 Speaker 1: and get that card. Like Joel said earlier, maybe just 998 00:48:15,520 --> 00:48:17,239 Speaker 1: start putting your gas on there so you don't have 999 00:48:17,280 --> 00:48:19,000 Speaker 1: to walk inside of the gas station. Just make that 1000 00:48:19,040 --> 00:48:21,319 Speaker 1: happen in the pump and pay it off every month. 1001 00:48:21,360 --> 00:48:25,359 Speaker 1: Start building up that financial rep reputation, and that's gonna 1002 00:48:25,440 --> 00:48:27,200 Speaker 1: you're gonna thank yourself down the red. And if you're 1003 00:48:27,200 --> 00:48:29,680 Speaker 1: seventy years old, do not close your credit card you 1004 00:48:29,680 --> 00:48:32,000 Speaker 1: open up when you were twenty, because that's helping you. Right. 1005 00:48:32,160 --> 00:48:35,040 Speaker 1: So also, the types of credit that you're using makes 1006 00:48:35,120 --> 00:48:37,200 Speaker 1: up ten percent of your credit score. Make sure you 1007 00:48:37,239 --> 00:48:40,040 Speaker 1: have a wide variety of different credit available to you. 1008 00:48:40,320 --> 00:48:43,400 Speaker 1: Make sure to use it wisely, but have that variety available. 1009 00:48:43,760 --> 00:48:46,759 Speaker 1: And then lastly, again this is one of the smaller ones. 1010 00:48:46,800 --> 00:48:49,040 Speaker 1: So the one Joel just mentioned was ten percent. Uh, 1011 00:48:49,080 --> 00:48:51,680 Speaker 1: this one is also only ten percent. But hard inquiries 1012 00:48:51,719 --> 00:48:54,560 Speaker 1: for new credit every time you apply for say a 1013 00:48:54,640 --> 00:48:57,680 Speaker 1: new credit card or start shopping for a loan, those 1014 00:48:57,719 --> 00:48:59,480 Speaker 1: are gonna come in at hard inquiries and those are 1015 00:48:59,480 --> 00:49:02,479 Speaker 1: gonna doing your credit a little more. The beautiful thing. Also, 1016 00:49:02,520 --> 00:49:05,400 Speaker 1: there are great tools on the web for you to 1017 00:49:05,600 --> 00:49:08,440 Speaker 1: use to help you understand your credit better and to 1018 00:49:08,560 --> 00:49:12,200 Speaker 1: know your credit score in mere seconds. So we recommend 1019 00:49:12,680 --> 00:49:16,360 Speaker 1: credit scorecard dot Com, a tool from Discover credit Sesame, 1020 00:49:16,440 --> 00:49:20,200 Speaker 1: and credit Karma. Those are three great websites that won't 1021 00:49:20,280 --> 00:49:22,960 Speaker 1: charge you a dollar which will help you understand and 1022 00:49:22,960 --> 00:49:25,680 Speaker 1: know your credit score. We haven't actually talked about our 1023 00:49:25,719 --> 00:49:29,080 Speaker 1: credit scores. Let's dive old you wanna like share? Are 1024 00:49:29,120 --> 00:49:31,239 Speaker 1: you prepared to to kind of dive into that? Do 1025 00:49:31,239 --> 00:49:32,760 Speaker 1: you know yours off the top of your head, because 1026 00:49:33,000 --> 00:49:34,840 Speaker 1: you probably do. Actually had to look mine up. I 1027 00:49:34,840 --> 00:49:37,160 Speaker 1: had to look mine up. Well, I looked mine up today. 1028 00:49:37,200 --> 00:49:40,359 Speaker 1: I'm not so religious about my credit score that I 1029 00:49:40,400 --> 00:49:42,320 Speaker 1: could probably tell you on a day by day basis, 1030 00:49:42,600 --> 00:49:44,319 Speaker 1: but I do tend to look at it, you know, 1031 00:49:44,400 --> 00:49:47,000 Speaker 1: once every two months, and I looked it up today 1032 00:49:47,040 --> 00:49:50,319 Speaker 1: in preparation for this podcast on credit scorecard dot Com. 1033 00:49:50,400 --> 00:49:52,880 Speaker 1: And I will tell you after you reveal yours to me. 1034 00:49:54,680 --> 00:49:58,040 Speaker 1: All right, So even with my seven hard inquiries, so 1035 00:49:58,200 --> 00:50:00,640 Speaker 1: don't be like me, don't apply for seven new credit 1036 00:50:00,640 --> 00:50:02,920 Speaker 1: cards in the previous twelve months. But I was. I 1037 00:50:03,280 --> 00:50:05,640 Speaker 1: got above eight hundred, man, I was that like like 1038 00:50:05,719 --> 00:50:08,399 Speaker 1: eight o four eight five, I think nicely. It wasn't 1039 00:50:08,400 --> 00:50:09,840 Speaker 1: like right at eight there was like a little a 1040 00:50:09,840 --> 00:50:12,120 Speaker 1: little bit up there what you got. We'll keep working 1041 00:50:12,120 --> 00:50:16,000 Speaker 1: hard and maybe at some point punk you can to 1042 00:50:16,120 --> 00:50:20,319 Speaker 1: the amazing level of eight oh nine like me. So yeah, 1043 00:50:20,320 --> 00:50:22,920 Speaker 1: like five points sire than me. Yeah, I'm gonna hold 1044 00:50:22,920 --> 00:50:24,839 Speaker 1: that over you for a long time. I'm gonna hold 1045 00:50:24,840 --> 00:50:26,640 Speaker 1: it over your head. Here's the thing that, as much 1046 00:50:26,640 --> 00:50:28,759 Speaker 1: as we kind of like to joke about that, it's 1047 00:50:28,800 --> 00:50:30,600 Speaker 1: not the end. I'll be all. Uh. Some of the 1048 00:50:30,600 --> 00:50:33,120 Speaker 1: best credit cards out there that are offerings for me 1049 00:50:33,320 --> 00:50:35,560 Speaker 1: that I like to go after, which are the sweet 1050 00:50:35,560 --> 00:50:38,480 Speaker 1: sign up bonuses. They are looking for people that have 1051 00:50:38,760 --> 00:50:42,080 Speaker 1: high credit score, and typically that range starts at seven hundred. 1052 00:50:42,120 --> 00:50:43,759 Speaker 1: And that's what's so crazy is that you can get 1053 00:50:43,800 --> 00:50:47,200 Speaker 1: an amazing card with a sweet sweet sign up bonus 1054 00:50:47,600 --> 00:50:51,759 Speaker 1: easily five bucks. If you're you know, around seven and up, 1055 00:50:52,239 --> 00:50:55,480 Speaker 1: you're golden and real quickly. Three credit score numbers you 1056 00:50:55,480 --> 00:50:58,560 Speaker 1: should keep in mind because they are kind of essentially barriers, 1057 00:50:58,840 --> 00:51:02,960 Speaker 1: uh in good good markers for you. Six eighty, seven 1058 00:51:03,040 --> 00:51:06,200 Speaker 1: forty and seven seventy, so six eighty kind of like 1059 00:51:06,239 --> 00:51:08,480 Speaker 1: transitions you into like you know, what, this person is 1060 00:51:08,480 --> 00:51:10,919 Speaker 1: pretty trustworthy and go with their credit once you're above 1061 00:51:10,960 --> 00:51:14,600 Speaker 1: that number. Seven forty is like, man, this person's killing 1062 00:51:14,640 --> 00:51:18,400 Speaker 1: it and they have access to any sort of credit 1063 00:51:18,440 --> 00:51:21,080 Speaker 1: whenever they want. Seven seventy is like, you have access 1064 00:51:21,120 --> 00:51:23,440 Speaker 1: to any sort of credit, but also at the most 1065 00:51:24,400 --> 00:51:26,960 Speaker 1: preferred rates. So I've been in the seven sixties at 1066 00:51:27,000 --> 00:51:29,799 Speaker 1: sometimes and it's great, but you kind of miss out 1067 00:51:29,800 --> 00:51:31,640 Speaker 1: on some of the slightly better rates if you're going 1068 00:51:31,680 --> 00:51:34,319 Speaker 1: for a whole equity line or a mortgage rate. Thanks 1069 00:51:34,320 --> 00:51:36,360 Speaker 1: so much for listening to everyone. We really appreciate it. 1070 00:51:36,400 --> 00:51:39,120 Speaker 1: You guys are the best and the ladies. Be sure 1071 00:51:39,120 --> 00:51:41,160 Speaker 1: to check out how to money dot com. We'll have 1072 00:51:41,160 --> 00:51:43,200 Speaker 1: show notices up there, including some of the sites we 1073 00:51:43,239 --> 00:51:45,480 Speaker 1: talked about in this episode. And if you like what 1074 00:51:45,560 --> 00:51:49,120 Speaker 1: you hear, let us know and please review and subscribe 1075 00:51:49,160 --> 00:51:52,640 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, because 1076 00:51:52,680 --> 00:51:54,920 Speaker 1: it really helps us spread the love with other people. 1077 00:51:55,239 --> 00:51:58,640 Speaker 1: It's kind of the currency online for podcasts, so it's true. 1078 00:51:58,800 --> 00:52:01,319 Speaker 1: If you'll like, just tell us a five star, four star, 1079 00:52:01,640 --> 00:52:03,719 Speaker 1: one star. If you hate us up real quick and 1080 00:52:03,800 --> 00:52:06,000 Speaker 1: let people know, don't give us a one star. Don't 1081 00:52:06,040 --> 00:52:09,759 Speaker 1: do it. Please, you hurt our feelings, but seriously, thanks 1082 00:52:09,760 --> 00:52:12,160 Speaker 1: for listening. We appreciate it and we'll be back next week. 1083 00:52:12,280 --> 00:52:14,080 Speaker 1: Best friends out, Best friends Out,