1 00:00:10,745 --> 00:00:15,265 Speaker 1: You're listening to a MoMA Mia podcast. Mama Mia acknowledges 2 00:00:15,305 --> 00:00:18,345 Speaker 1: the traditional owners of land and waters that this podcast 3 00:00:18,465 --> 00:00:21,865 Speaker 1: is recorded on Happy Thursday. Ubis. It's Lee here and 4 00:00:21,945 --> 00:00:24,745 Speaker 1: I want to tell you about an amazing episode of 5 00:00:24,785 --> 00:00:28,785 Speaker 1: Nothing to Wear. I recently spoke to Jamie Lee Burns 6 00:00:28,865 --> 00:00:34,545 Speaker 1: and she revolutionized how I get dressed. She's all about data. 7 00:00:34,625 --> 00:00:36,665 Speaker 1: I know that sounds really boring, but trust me, as 8 00:00:36,665 --> 00:00:39,585 Speaker 1: someone who hates data and admin, I have taken on 9 00:00:39,625 --> 00:00:42,225 Speaker 1: her genius tips and now I have not been more 10 00:00:42,265 --> 00:00:44,465 Speaker 1: excited to get dressed in the morning. Have a listen. 11 00:00:46,305 --> 00:00:49,145 Speaker 1: Whoever said orange is a new pink with seriously disturbed 12 00:00:49,305 --> 00:00:53,705 Speaker 1: laurels spraying groundbreaking? Oh my god, you have to do it. 13 00:00:53,785 --> 00:00:55,025 Speaker 2: You live for fashion. 14 00:00:56,505 --> 00:00:59,105 Speaker 1: Hello and welcome to Nothing to Wear, the podcast that 15 00:00:59,185 --> 00:01:02,425 Speaker 1: solves fashion problems and levels up your wardrobe. Each week, 16 00:01:02,465 --> 00:01:04,385 Speaker 1: I sit down with an expert who helps us work 17 00:01:04,425 --> 00:01:05,985 Speaker 1: out how to get more out of the clothes you 18 00:01:06,025 --> 00:01:08,985 Speaker 1: already own and tells us what is and isn't worth 19 00:01:09,065 --> 00:01:13,585 Speaker 1: adding to wardrobe. This week is exactly that. I am 20 00:01:13,665 --> 00:01:16,985 Speaker 1: joined by Jamie Lee. She is a Sydney based stylist. 21 00:01:17,185 --> 00:01:20,265 Speaker 1: One of my favorite channels to follow on Instagram. She's 22 00:01:20,305 --> 00:01:22,785 Speaker 1: the exact opposite of me. She is a data nerd 23 00:01:22,825 --> 00:01:25,345 Speaker 1: and for over a decade she has been logging every 24 00:01:25,385 --> 00:01:28,505 Speaker 1: single item she buys or owns and when she wears it, 25 00:01:28,545 --> 00:01:31,385 Speaker 1: and from there she's got this amazing visual library of 26 00:01:31,465 --> 00:01:34,705 Speaker 1: all her clothes, including everything she wears, the most stuff 27 00:01:34,745 --> 00:01:36,825 Speaker 1: she doesn't really wear, so then she can sell it 28 00:01:37,145 --> 00:01:40,265 Speaker 1: and everything in between. So let's chat to Jamie about 29 00:01:40,265 --> 00:01:42,745 Speaker 1: how she keeps this data and why she does it 30 00:01:42,825 --> 00:01:44,785 Speaker 1: and why I am about to try and do the same. 31 00:01:45,225 --> 00:01:48,745 Speaker 1: Jamie Lee, my Instagram friend, Welcome to Nothing to Wear. 32 00:01:49,345 --> 00:01:52,585 Speaker 1: Before we get into the topic, which I've been begging 33 00:01:52,625 --> 00:01:55,825 Speaker 1: you to come on because it's fascinating, there's two questions 34 00:01:55,865 --> 00:01:57,745 Speaker 1: I ask everyone their first time on the show. So 35 00:01:57,785 --> 00:02:00,145 Speaker 1: the first one is can you describe your style in 36 00:02:00,225 --> 00:02:01,225 Speaker 1: three words? Yeah? 37 00:02:01,265 --> 00:02:02,585 Speaker 2: So I actually was having a bit of a think 38 00:02:02,625 --> 00:02:06,305 Speaker 2: about this, and I would say feminine, polish, and undone. 39 00:02:06,345 --> 00:02:08,305 Speaker 2: There's always kind of a layer of each of those, 40 00:02:08,345 --> 00:02:10,465 Speaker 2: and most of my outfits all of them. 41 00:02:10,345 --> 00:02:14,145 Speaker 1: Yes, Because when you say feminem, I'm like no, But 42 00:02:14,225 --> 00:02:16,305 Speaker 1: when you add them all together, it's an equation. 43 00:02:16,585 --> 00:02:17,985 Speaker 2: Yeah, I'm done. 44 00:02:18,065 --> 00:02:20,265 Speaker 1: But the coolest like sheke, I'm done. I look at 45 00:02:20,265 --> 00:02:22,905 Speaker 1: you and I'm like on Instagram and I'm like, I'm 46 00:02:22,905 --> 00:02:26,225 Speaker 1: in my disgusting cam up tracksuit pants that are my favorites. 47 00:02:26,505 --> 00:02:28,825 Speaker 1: But I know Instagram's not everything. I love those three 48 00:02:28,865 --> 00:02:29,705 Speaker 1: words together. 49 00:02:29,465 --> 00:02:30,705 Speaker 2: In Instagram versus real life. 50 00:02:30,865 --> 00:02:32,785 Speaker 1: Yeah, and I loved that those three words, like you 51 00:02:32,785 --> 00:02:36,425 Speaker 1: need all three to create the picture. Okay. Lots of 52 00:02:36,465 --> 00:02:39,345 Speaker 1: people wear a really small amount or a smaller amount 53 00:02:39,385 --> 00:02:42,505 Speaker 1: of their wardrobe more than the rest. So the ninety 54 00:02:43,065 --> 00:02:46,345 Speaker 1: ten roll or some people say eighty twenty, but the 55 00:02:46,425 --> 00:02:49,145 Speaker 1: smaller amount that they wear the most. And I guess 56 00:02:49,145 --> 00:02:51,425 Speaker 1: this is kind of what this whole topic's about. So 57 00:02:51,425 --> 00:02:52,985 Speaker 1: we don't want to give too much away, but what's 58 00:02:53,025 --> 00:02:54,305 Speaker 1: in your most reached for? 59 00:02:54,625 --> 00:02:55,865 Speaker 2: Okay, So I was having to look at what I 60 00:02:55,905 --> 00:02:58,185 Speaker 2: wear all the time because I'm a data nerd, and 61 00:02:58,385 --> 00:03:01,625 Speaker 2: I would say tailored trousers because they had that nice polish, 62 00:03:01,785 --> 00:03:04,185 Speaker 2: a really good pair of jeans, some sort of a 63 00:03:04,225 --> 00:03:08,065 Speaker 2: shoe that's comfortable but also has a bit of a lifted, 64 00:03:08,225 --> 00:03:08,945 Speaker 2: refined feel. 65 00:03:09,065 --> 00:03:12,705 Speaker 1: Or quirky. You have cool like quirky, but like still classic. 66 00:03:12,385 --> 00:03:16,185 Speaker 2: Quirky, like the Tory birch PSCs. 67 00:03:15,625 --> 00:03:19,225 Speaker 1: And like the boots you're wearing, like sculptural heel, Yeah, 68 00:03:19,585 --> 00:03:22,265 Speaker 1: a little bit different. Yeah, okay, so that's what you 69 00:03:22,305 --> 00:03:23,305 Speaker 1: reach for most. 70 00:03:23,425 --> 00:03:25,665 Speaker 2: Yeah, I mean kind of those essentials most people tend 71 00:03:25,665 --> 00:03:27,385 Speaker 2: to happ in their wardrobes. But I would just say 72 00:03:27,465 --> 00:03:29,905 Speaker 2: versions that feel more like myself rather than what you 73 00:03:29,945 --> 00:03:31,585 Speaker 2: might find on a capsule wardrobe template. 74 00:03:31,825 --> 00:03:33,865 Speaker 1: Yes, but yes, that's a very good point. I feel 75 00:03:33,905 --> 00:03:36,825 Speaker 1: like we're all over that capsual wardrobe. Okay, the topic. 76 00:03:37,505 --> 00:03:38,745 Speaker 1: I don't know if you told me in real life 77 00:03:38,745 --> 00:03:40,345 Speaker 1: because we often see each other at events, or I 78 00:03:40,425 --> 00:03:43,865 Speaker 1: saw it on Instagram or both. But you, as you said, 79 00:03:43,905 --> 00:03:46,425 Speaker 1: are a data nerd oh, I'd love to be like you. 80 00:03:47,025 --> 00:03:49,905 Speaker 1: Everything's so vibes for me, just vibes. You use your 81 00:03:49,985 --> 00:03:52,945 Speaker 1: phone to keep track of what items you're actually wearing 82 00:03:52,985 --> 00:03:55,225 Speaker 1: and how much, So talk us through that. What is 83 00:03:55,225 --> 00:03:56,465 Speaker 1: the app? How does it work? 84 00:03:56,945 --> 00:03:59,105 Speaker 2: So I've actually been tracking what I wear since I 85 00:03:59,185 --> 00:04:01,425 Speaker 2: was in my early twenties, so I'm talking over a 86 00:04:01,465 --> 00:04:04,065 Speaker 2: decade at this point. I still manually using a spreadsheet 87 00:04:04,105 --> 00:04:06,905 Speaker 2: on Excel or just a piece of paper at one point. Wow, 88 00:04:07,505 --> 00:04:09,425 Speaker 2: And so now I've kind of progressed onto an app 89 00:04:09,425 --> 00:04:11,465 Speaker 2: which makes it a lot easier. So I use one 90 00:04:11,465 --> 00:04:15,345 Speaker 2: called index and I like it because of the functionality. 91 00:04:15,425 --> 00:04:17,585 Speaker 2: I'm kind of an asthete, so things have to look 92 00:04:17,585 --> 00:04:19,545 Speaker 2: a particular way for me to want to use it. 93 00:04:19,665 --> 00:04:22,305 Speaker 1: I can imagine your Excel spreadsheets for beautifully color coded 94 00:04:22,345 --> 00:04:25,785 Speaker 1: and oh not quite, but the cells all that matched up. 95 00:04:25,825 --> 00:04:27,545 Speaker 1: Mine looked like a kid went in and mucked up 96 00:04:27,545 --> 00:04:30,465 Speaker 1: a puzzle. So how does the app work? Do you 97 00:04:30,905 --> 00:04:33,305 Speaker 1: buy something new or you've added everything you own and 98 00:04:33,305 --> 00:04:35,505 Speaker 1: then every time you wear it you add like a tally. 99 00:04:35,905 --> 00:04:38,265 Speaker 2: Yeah, so there's a real manual process to it. You 100 00:04:38,305 --> 00:04:40,745 Speaker 2: have to kind of go in upload every single item 101 00:04:40,785 --> 00:04:42,545 Speaker 2: one by one. So you put in the brand name, 102 00:04:42,625 --> 00:04:45,345 Speaker 2: you put in the size, color, all that kind of information, 103 00:04:45,625 --> 00:04:47,385 Speaker 2: and then you can add in the price when you 104 00:04:47,505 --> 00:04:48,505 Speaker 2: bought it, if it. 105 00:04:48,625 --> 00:04:50,745 Speaker 1: Was pre owned or if it That's what I was 106 00:04:50,745 --> 00:04:52,745 Speaker 1: going to say, because I love thrifting, Can I just 107 00:04:52,785 --> 00:04:56,065 Speaker 1: do like Levi's dnim shirt, Like you don't have to 108 00:04:56,065 --> 00:04:58,065 Speaker 1: know all the info? No, you don't even have to 109 00:04:58,065 --> 00:05:01,065 Speaker 1: write a product. Yeah, so you put in just a 110 00:05:01,065 --> 00:05:04,385 Speaker 1: brand name and then you kind of track whether it's 111 00:05:04,465 --> 00:05:07,785 Speaker 1: kind of spring, summer, winter, autumn, and you also categorize 112 00:05:07,785 --> 00:05:09,865 Speaker 1: it by the type of item it is. Then that 113 00:05:09,905 --> 00:05:12,065 Speaker 1: way when you are looking, because you can actually view 114 00:05:12,065 --> 00:05:15,745 Speaker 1: your entire wardrobe. Is there images or can you I'll have. 115 00:05:15,705 --> 00:05:18,985 Speaker 2: To show you, but you can see your entire your 116 00:05:19,105 --> 00:05:21,465 Speaker 2: entire wardrobe at a glance, which is really handy when 117 00:05:21,505 --> 00:05:23,945 Speaker 2: you're shopping. But yeah, that manual process and then every 118 00:05:24,025 --> 00:05:25,705 Speaker 2: day you just kind of go in and you can 119 00:05:25,745 --> 00:05:28,985 Speaker 2: log your outfit so you can make outfits up that 120 00:05:29,065 --> 00:05:30,705 Speaker 2: you can refer back to later when you've got some 121 00:05:30,745 --> 00:05:32,425 Speaker 2: free time on the couch and you just watch. 122 00:05:32,265 --> 00:05:35,065 Speaker 1: It like that Cless thing. Remember in Clueless if anyone's 123 00:05:35,105 --> 00:05:37,505 Speaker 1: of that era where she sat down and used that maschione. 124 00:05:37,505 --> 00:05:39,705 Speaker 2: It kind of like work. Yeah, well there are apps 125 00:05:39,745 --> 00:05:41,545 Speaker 2: that do that in tex does and but other ones do. 126 00:05:41,865 --> 00:05:44,385 Speaker 1: Wow. Yeah, oh my gosh, I saw it using notes 127 00:05:44,425 --> 00:05:46,825 Speaker 1: on my phone. Was cool. Okay, So you mentioned that 128 00:05:46,905 --> 00:05:49,545 Speaker 1: it's also visual. So where does the image come from? 129 00:05:49,585 --> 00:05:52,385 Speaker 1: Does it pull it from the internet or do you 130 00:05:52,425 --> 00:05:53,265 Speaker 1: take the photos? 131 00:05:53,545 --> 00:05:55,545 Speaker 2: You manually need to upload the photos, so you can 132 00:05:55,545 --> 00:05:58,265 Speaker 2: either take a photo of the product itself and your 133 00:05:58,265 --> 00:06:00,625 Speaker 2: home and they do give you kind of guidelines on 134 00:06:00,625 --> 00:06:02,625 Speaker 2: how to get the best photo, or you can pull 135 00:06:02,665 --> 00:06:04,465 Speaker 2: a product image from the brand. 136 00:06:04,265 --> 00:06:06,265 Speaker 1: Website, right, so if it's new, that's a good way 137 00:06:06,305 --> 00:06:08,585 Speaker 1: to log it. So if I've got vintage of old stuff, 138 00:06:08,665 --> 00:06:09,625 Speaker 1: I can take my own photo. 139 00:06:09,825 --> 00:06:12,585 Speaker 2: You speak could also friend similar or a really good 140 00:06:12,625 --> 00:06:14,745 Speaker 2: hag is to use chat GPT to create the image 141 00:06:14,785 --> 00:06:18,385 Speaker 2: for you. How you describe the item, or you take 142 00:06:18,385 --> 00:06:20,265 Speaker 2: a photo and you upload it and then you tell 143 00:06:20,305 --> 00:06:22,985 Speaker 2: them to create a flat late image of said item 144 00:06:23,065 --> 00:06:23,865 Speaker 2: on a white background. 145 00:06:23,945 --> 00:06:26,385 Speaker 1: Oh my gosh, you work in the future. I've taken 146 00:06:26,385 --> 00:06:28,105 Speaker 1: some photos for deep Hop and it's I guess it's 147 00:06:28,185 --> 00:06:29,785 Speaker 1: kind of similar, but it's like, you know, good lighting, 148 00:06:29,825 --> 00:06:33,545 Speaker 1: white background, steamed or blah blah blah. Okay, because I 149 00:06:33,625 --> 00:06:34,745 Speaker 1: just had a look at the app on your phone 150 00:06:34,745 --> 00:06:36,865 Speaker 1: and it's so pretty, so now I want it. So 151 00:06:37,105 --> 00:06:40,105 Speaker 1: you get dressed. You've decided, okay, this is my outfit 152 00:06:40,105 --> 00:06:41,625 Speaker 1: for the date. Do you go in then or do 153 00:06:41,625 --> 00:06:43,505 Speaker 1: you do it at night when you're usually. 154 00:06:43,305 --> 00:06:45,545 Speaker 2: At night when I'm waiting for my daughter to fall asleep. 155 00:06:46,185 --> 00:06:47,065 Speaker 1: What if you forget? 156 00:06:47,905 --> 00:06:50,585 Speaker 2: I go back and I often I take photos of 157 00:06:50,625 --> 00:06:52,585 Speaker 2: what I'm wearing, so I have kind of a reference, 158 00:06:52,825 --> 00:06:55,545 Speaker 2: or I usually have to kind of dig deep into 159 00:06:55,585 --> 00:06:58,185 Speaker 2: the depths of my memory to recall what I was 160 00:06:58,185 --> 00:07:00,425 Speaker 2: wearing sometimes, or I'll ask my husband. 161 00:07:00,665 --> 00:07:02,705 Speaker 1: Yes, like what was I weird? Did we go to dinner? 162 00:07:02,785 --> 00:07:04,985 Speaker 1: What was I wearing? So tell me? Then? What do 163 00:07:04,985 --> 00:07:07,145 Speaker 1: you do with that info? Like monthly? Do you do 164 00:07:07,345 --> 00:07:10,185 Speaker 1: like a stock take of like Okay, I wear that 165 00:07:10,225 --> 00:07:12,105 Speaker 1: a lot, that was good cost per wear? Or why 166 00:07:12,145 --> 00:07:14,025 Speaker 1: did I buy those? I haven't worn them? Like what 167 00:07:14,065 --> 00:07:15,185 Speaker 1: do you do with the info? 168 00:07:15,665 --> 00:07:18,465 Speaker 2: So the applin'e using does have a paid feature which 169 00:07:18,505 --> 00:07:21,105 Speaker 2: allows you to access all of those insights, and currently 170 00:07:21,105 --> 00:07:22,985 Speaker 2: they don't allow you to do it buy a specific 171 00:07:23,065 --> 00:07:25,705 Speaker 2: date range, but rather the last month, last three months, 172 00:07:25,945 --> 00:07:28,625 Speaker 2: six months, year, and then all time, so you can 173 00:07:28,705 --> 00:07:30,105 Speaker 2: kind of go back in and you can see what 174 00:07:30,145 --> 00:07:33,105 Speaker 2: you didn't wear a single time over that previous month, 175 00:07:33,625 --> 00:07:36,265 Speaker 2: but also you get a visual catalog or diary of 176 00:07:36,345 --> 00:07:38,665 Speaker 2: what you wore every single day for that month, so 177 00:07:38,705 --> 00:07:42,505 Speaker 2: you can see patterns emerging, Like I use someone who 178 00:07:42,545 --> 00:07:44,945 Speaker 2: is really only wearing a specific kind of pant. Do 179 00:07:45,025 --> 00:07:47,225 Speaker 2: you like to wear dark colors on your lower half 180 00:07:47,305 --> 00:07:49,905 Speaker 2: or on your upper half? Is there specific types of 181 00:07:49,945 --> 00:07:52,665 Speaker 2: shoes that you're pairing with certain types of pants? 182 00:07:53,265 --> 00:07:55,345 Speaker 1: You know I want to. I desperately want to do this, 183 00:07:55,505 --> 00:07:58,625 Speaker 1: but I just like, I just could never. But it 184 00:07:58,625 --> 00:08:00,865 Speaker 1: would help so much because I'm thinking, if you're going shopping, 185 00:08:00,905 --> 00:08:02,825 Speaker 1: you can go in there and go, oh no, I 186 00:08:02,825 --> 00:08:04,625 Speaker 1: mean those black pants are great, but actually no, I 187 00:08:04,625 --> 00:08:07,185 Speaker 1: don't need those. Whereas I go, I think I've only 188 00:08:07,225 --> 00:08:09,185 Speaker 1: got one pair of black pants I like, and then 189 00:08:09,225 --> 00:08:11,425 Speaker 1: I get high and I'm like, oh, yeah, yeah, and 190 00:08:11,665 --> 00:08:14,145 Speaker 1: I go, hi, all you black pants that I forgot about. 191 00:08:14,225 --> 00:08:16,385 Speaker 2: Yeah. I get tunnel visions sometimes as well. So it's 192 00:08:16,425 --> 00:08:18,985 Speaker 2: a great way to ground myself and come back to earth. 193 00:08:19,905 --> 00:08:22,225 Speaker 1: That is phenomenal. Okay, we'll do more about that later. 194 00:08:22,305 --> 00:08:24,985 Speaker 1: But from your data and your app, and you're the 195 00:08:25,065 --> 00:08:27,745 Speaker 1: way I wish I was. What items are you wearing 196 00:08:27,785 --> 00:08:29,585 Speaker 1: the most? Is there any unexpected? 197 00:08:29,825 --> 00:08:31,425 Speaker 2: I feel like I need to actually refer to my 198 00:08:31,505 --> 00:08:33,265 Speaker 2: Oh please do so. 199 00:08:33,625 --> 00:08:36,505 Speaker 1: I want this app, but I don't know how I 200 00:08:36,545 --> 00:08:37,745 Speaker 1: would go back and do it all. 201 00:08:37,945 --> 00:08:39,865 Speaker 2: It's well, you can start from now. 202 00:08:39,945 --> 00:08:42,145 Speaker 1: Face after a wardrobe clean out would be a good 203 00:08:42,225 --> 00:08:43,505 Speaker 1: time to do this at the end. 204 00:08:43,825 --> 00:08:45,985 Speaker 2: Actually, a trick for if you are doing any of 205 00:08:46,025 --> 00:08:48,505 Speaker 2: these apps is to just log things as you wear them, 206 00:08:48,625 --> 00:08:50,465 Speaker 2: because then it feels so. 207 00:08:50,465 --> 00:08:53,225 Speaker 1: Much less daunting, and if you haven't worn it, by default, 208 00:08:53,265 --> 00:08:54,825 Speaker 1: it's not on the list. So then you can do 209 00:08:54,825 --> 00:08:56,625 Speaker 1: your ordrobe cleanup and go, you've never been on my 210 00:08:56,705 --> 00:08:57,265 Speaker 1: list see later. 211 00:08:57,505 --> 00:09:00,105 Speaker 2: Yeah, yeah, that makes it so much more approachable. 212 00:09:00,105 --> 00:09:00,585 Speaker 1: I'm doing it. 213 00:09:00,665 --> 00:09:02,945 Speaker 2: So you've got three hundred things or more in your wardrobe, 214 00:09:03,185 --> 00:09:05,585 Speaker 2: the idea of putting all of those into an app at. 215 00:09:05,465 --> 00:09:09,385 Speaker 1: Once, and because we're ten percent, that's good, you know, 216 00:09:09,745 --> 00:09:11,585 Speaker 1: out with that. Okay, so tell me what do you 217 00:09:11,665 --> 00:09:13,585 Speaker 1: wear the most. It doesn't have to be the exact item, 218 00:09:13,665 --> 00:09:15,745 Speaker 1: but black jeans like you're wearing, or. 219 00:09:16,025 --> 00:09:18,545 Speaker 2: Well, okay, so it's winter right now, so some sort 220 00:09:18,545 --> 00:09:20,545 Speaker 2: of locial boot like the ones I've got on now, 221 00:09:20,745 --> 00:09:23,065 Speaker 2: or my current most worn are from Saint Agne and 222 00:09:23,065 --> 00:09:24,825 Speaker 2: I think I've worn them twenty five times since I 223 00:09:24,905 --> 00:09:29,105 Speaker 2: bought them two months ago through, which is pretty good. 224 00:09:29,985 --> 00:09:32,025 Speaker 1: Very Oh my gosh. I'd be like, Tick, you're a 225 00:09:32,025 --> 00:09:33,505 Speaker 1: good person. You can go shopping and get. 226 00:09:33,425 --> 00:09:36,705 Speaker 2: A trap, especially because I've got a good rotation of 227 00:09:36,745 --> 00:09:40,265 Speaker 2: items in my wardrobe, either a small crossbody bag or 228 00:09:40,305 --> 00:09:42,505 Speaker 2: like a larger shoulder bag. I'm kind of all or 229 00:09:42,505 --> 00:09:45,825 Speaker 2: nothing when it comes to that, really slouchy kind of knitwear. 230 00:09:46,385 --> 00:09:48,625 Speaker 2: I splosed to see if it was worth it on 231 00:09:48,785 --> 00:09:51,025 Speaker 2: the Aphelias sweater from the Row, and so I've made 232 00:09:51,065 --> 00:09:54,265 Speaker 2: a point of trying to actually get my cosper wear 233 00:09:54,345 --> 00:09:56,625 Speaker 2: out of it because and so far, so good. I've 234 00:09:56,665 --> 00:09:59,865 Speaker 2: worn it fifteen times in the last few months, which 235 00:09:59,905 --> 00:10:01,025 Speaker 2: I think is pretty. 236 00:10:00,705 --> 00:10:03,825 Speaker 1: Decent, amazing. And next winter, you know, it's the Roe 237 00:10:03,985 --> 00:10:06,345 Speaker 1: and the winter after and yeah, forever and ever and ever. 238 00:10:06,585 --> 00:10:09,425 Speaker 2: Also, just like a good quality belt, so I've led 239 00:10:09,425 --> 00:10:12,305 Speaker 2: the that I've worn over one hundred, probably over two 240 00:10:12,385 --> 00:10:15,985 Speaker 2: hundred times at this point. And dark colored jeans. I 241 00:10:15,985 --> 00:10:17,505 Speaker 2: really like a wash black jean. 242 00:10:17,705 --> 00:10:21,665 Speaker 1: Okay, shape, I'm not that. I'm not that bothered. 243 00:10:21,905 --> 00:10:22,825 Speaker 2: No, I'm not that bothered. 244 00:10:23,225 --> 00:10:25,505 Speaker 1: Look, I'm back into almost skinny straight. 245 00:10:25,945 --> 00:10:28,585 Speaker 2: I actually like that silhouette. And I think I think 246 00:10:28,585 --> 00:10:30,905 Speaker 2: the skinny has a bad rap. It's all about styling 247 00:10:30,945 --> 00:10:34,465 Speaker 2: of proportions. But I think the slim some strait is 248 00:10:34,585 --> 00:10:35,305 Speaker 2: really flattering. 249 00:10:35,345 --> 00:10:36,865 Speaker 1: And these is so old. If I were you and 250 00:10:36,945 --> 00:10:38,905 Speaker 1: had this app for you know, the data from so 251 00:10:38,945 --> 00:10:40,985 Speaker 1: long ago, I could see that I wore them last 252 00:10:40,985 --> 00:10:42,705 Speaker 1: probably four years ago. But now they're back. 253 00:10:42,985 --> 00:10:43,465 Speaker 2: Yeah. 254 00:10:43,505 --> 00:10:46,625 Speaker 1: Wow, that's fascinating. Okay, so what do you do when 255 00:10:46,665 --> 00:10:48,145 Speaker 1: you look in there and then there's stuff that you 256 00:10:48,265 --> 00:10:51,785 Speaker 1: haven't really worn much and you're like, oh, okay, I 257 00:10:51,825 --> 00:10:53,545 Speaker 1: obviously don't reach for those things. What do you do then? 258 00:10:54,105 --> 00:10:55,905 Speaker 2: So I actually use that as a prompt to go, 259 00:10:56,025 --> 00:10:57,625 Speaker 2: I want to wear this. I want to make the 260 00:10:57,625 --> 00:10:59,785 Speaker 2: most of what I have in my wardrobe. So to me, 261 00:10:59,865 --> 00:11:03,185 Speaker 2: it's actually a tool with a challenge. Yeah, so I go, okay, well, 262 00:11:03,185 --> 00:11:04,745 Speaker 2: I won't been wearing this. I want to bring it 263 00:11:04,785 --> 00:11:07,905 Speaker 2: into rotation and actually allows me to wear a larger 264 00:11:07,945 --> 00:11:11,785 Speaker 2: percentage of my wardrobe more frequently than I would otherwise. 265 00:11:11,905 --> 00:11:13,585 Speaker 1: Yeah, because if you, well, I don't know about you, 266 00:11:13,625 --> 00:11:15,185 Speaker 1: but for me, if I don't, I can't see it, 267 00:11:15,505 --> 00:11:16,305 Speaker 1: I don't reach for it. 268 00:11:16,465 --> 00:11:18,305 Speaker 2: Yeah. And also you default to the same things all 269 00:11:18,305 --> 00:11:20,345 Speaker 2: the time, so that's a great way to kind of 270 00:11:20,385 --> 00:11:22,505 Speaker 2: increase that variety and your styling. 271 00:11:22,905 --> 00:11:25,025 Speaker 1: So what patterns are you picking up or how can 272 00:11:25,265 --> 00:11:29,505 Speaker 1: everybody use this to work out kind of colors and 273 00:11:29,785 --> 00:11:32,785 Speaker 1: more than just the items themselves or the outfits you've made, 274 00:11:32,825 --> 00:11:37,625 Speaker 1: but I guess working out your personal style colors, textures, cuts. 275 00:11:37,865 --> 00:11:39,585 Speaker 1: Do you use it to look at things like that. 276 00:11:39,785 --> 00:11:42,585 Speaker 2: Probably less so for that, I more like to see 277 00:11:42,625 --> 00:11:45,585 Speaker 2: trends in the specific types of items that I'm reaching for, 278 00:11:46,105 --> 00:11:49,065 Speaker 2: and also I suppose to trends in how I'm wearing 279 00:11:49,065 --> 00:11:51,745 Speaker 2: my clothing, because I can see even just in the 280 00:11:51,745 --> 00:11:54,825 Speaker 2: evolution of my own style that previously I opted a 281 00:11:54,825 --> 00:11:58,105 Speaker 2: lot more for like overly feminine pieces, a lot more Josses, 282 00:11:58,585 --> 00:12:01,505 Speaker 2: and in the summer time I would really default a 283 00:12:01,545 --> 00:12:05,145 Speaker 2: lot to denim shorts. But since maybe the last year 284 00:12:05,265 --> 00:12:07,705 Speaker 2: or two, I've started wearing cotton pants in the summertime, 285 00:12:07,825 --> 00:12:10,505 Speaker 2: and that's something I can see just from looking at 286 00:12:10,665 --> 00:12:11,785 Speaker 2: my styling and the app. 287 00:12:11,945 --> 00:12:15,105 Speaker 1: Yeah, right, Okay, I feel like because I'm quite neutral, 288 00:12:15,145 --> 00:12:18,225 Speaker 1: I'd say you're quite classically neutral. I'm quite neutral. But 289 00:12:18,265 --> 00:12:21,545 Speaker 1: I do have some color that I have, but I 290 00:12:21,585 --> 00:12:23,225 Speaker 1: don't know how to wear it. But if I've logged 291 00:12:23,225 --> 00:12:25,305 Speaker 1: it all then I can kind of see. Actually, I 292 00:12:25,345 --> 00:12:26,945 Speaker 1: do have quite a few green things. I could do 293 00:12:26,985 --> 00:12:30,265 Speaker 1: color blocking, or I could try that green with that lilac, 294 00:12:30,265 --> 00:12:32,385 Speaker 1: which I would never think here, but you can see 295 00:12:32,425 --> 00:12:33,705 Speaker 1: it in the app. 296 00:12:33,905 --> 00:12:36,505 Speaker 2: Yeah, because you can also filter by color as well, 297 00:12:36,585 --> 00:12:38,265 Speaker 2: so you can kind of get an overview of all 298 00:12:38,265 --> 00:12:40,905 Speaker 2: of the things you have in one color palette, but 299 00:12:41,385 --> 00:12:43,345 Speaker 2: you do have that freedom and that flexibility to just 300 00:12:43,385 --> 00:12:45,865 Speaker 2: build outfits and play around. So if you have something 301 00:12:45,905 --> 00:12:49,465 Speaker 2: you're really struggling to style, having that kind of visual 302 00:12:49,505 --> 00:12:52,985 Speaker 2: representation can help. I mean, it always translates differently in 303 00:12:53,025 --> 00:12:54,425 Speaker 2: real life, but yeah. 304 00:12:54,305 --> 00:12:55,985 Speaker 1: But at least try it, especially if you're out about 305 00:12:55,985 --> 00:12:57,545 Speaker 1: because sometimes I think, what am I going to wear 306 00:12:57,545 --> 00:12:59,105 Speaker 1: to that event tonight and I've got to rush home 307 00:12:59,145 --> 00:13:00,865 Speaker 1: and get ready, but I can't see my wardrobe. But 308 00:13:00,865 --> 00:13:04,425 Speaker 1: if it's on my phone, you're a genius. Okay, I'm 309 00:13:04,425 --> 00:13:06,825 Speaker 1: a massive Pinterest fan. I don't know about you, but 310 00:13:06,905 --> 00:13:11,065 Speaker 1: do use Pinterest to inspire you? Or are there other websites, platforms, 311 00:13:11,065 --> 00:13:14,105 Speaker 1: blogs that you look at for inspiration and then kind 312 00:13:14,105 --> 00:13:15,905 Speaker 1: of refer to your data to see if you've got 313 00:13:15,945 --> 00:13:18,545 Speaker 1: similar items, or do you do any other sort of 314 00:13:18,545 --> 00:13:19,265 Speaker 1: research that way. 315 00:13:19,465 --> 00:13:21,345 Speaker 2: So I don't know about you, but I actually find 316 00:13:21,385 --> 00:13:24,065 Speaker 2: Pinterest now as eighty percent ads. It is not very 317 00:13:24,145 --> 00:13:26,985 Speaker 2: user friendly anything. I kind of browse through and I go, okay, 318 00:13:27,025 --> 00:13:29,465 Speaker 2: where where is what I'm actually looking for a lot 319 00:13:29,465 --> 00:13:30,985 Speaker 2: of ads. Yeah, so I don't use it as a 320 00:13:31,025 --> 00:13:33,505 Speaker 2: tool as much as I used to in the past, 321 00:13:33,945 --> 00:13:37,185 Speaker 2: I think these days instead, I'm more so inspired by 322 00:13:37,265 --> 00:13:40,665 Speaker 2: silhouettes or even just e commerce styling. So oh wow, 323 00:13:40,745 --> 00:13:42,705 Speaker 2: like on websites you'll have a look at Yeah, okay, 324 00:13:42,945 --> 00:13:45,385 Speaker 2: you can get some great ideas, and not only that, 325 00:13:45,585 --> 00:13:47,865 Speaker 2: just what you see in fashion weeks. So those kind 326 00:13:47,905 --> 00:13:50,585 Speaker 2: of trends trickling through. There are easy ways that you 327 00:13:50,625 --> 00:13:53,745 Speaker 2: can co opt those trends into your own styling that 328 00:13:53,945 --> 00:13:55,265 Speaker 2: maybe don't require any shopping. 329 00:13:55,465 --> 00:13:58,265 Speaker 1: So you see some street style, you know, Copenhagen Fashion 330 00:13:58,265 --> 00:14:00,385 Speaker 1: Week was a few weeks ago. Now you see some 331 00:14:00,385 --> 00:14:02,705 Speaker 1: stuff on Instagram. Do you then use that inspo to 332 00:14:02,705 --> 00:14:05,785 Speaker 1: go back into your data and think, oh, I would 333 00:14:05,785 --> 00:14:07,505 Speaker 1: have never thought to mix a skirt like that with 334 00:14:07,545 --> 00:14:09,785 Speaker 1: a blazer like that, and I've got similar. 335 00:14:09,905 --> 00:14:11,665 Speaker 2: That's definitely a great way you can use it and 336 00:14:12,065 --> 00:14:15,065 Speaker 2: index in particular, do this thing called social styling, so 337 00:14:15,345 --> 00:14:18,425 Speaker 2: you can let other people into your wardrobe and style you. 338 00:14:18,585 --> 00:14:20,065 Speaker 2: So I haven't open. 339 00:14:19,985 --> 00:14:22,785 Speaker 1: More's so fun playing dress ups, but for. 340 00:14:22,745 --> 00:14:26,505 Speaker 2: Adults it's really cool. And so I've had some really great, 341 00:14:26,625 --> 00:14:30,225 Speaker 2: fantastic outfit ideas and suggestions come through just through the 342 00:14:30,225 --> 00:14:33,065 Speaker 2: social styling component, and they're ones that I never would 343 00:14:33,105 --> 00:14:33,945 Speaker 2: have thought of, like. 344 00:14:34,545 --> 00:14:36,345 Speaker 1: I got a great ones to do that for someone else, 345 00:14:36,385 --> 00:14:38,305 Speaker 1: though I can't even get myself dressed. But you know, 346 00:14:38,465 --> 00:14:40,945 Speaker 1: it's so creative, and that's cool. It is. It's a 347 00:14:40,985 --> 00:14:41,905 Speaker 1: book club for fashion. 348 00:14:41,985 --> 00:14:42,825 Speaker 2: It's like Pollyboard. 349 00:14:42,825 --> 00:14:43,385 Speaker 1: Do you remember that. 350 00:14:43,385 --> 00:14:46,025 Speaker 2: It's a way back when Yeah, and so I got 351 00:14:46,025 --> 00:14:48,385 Speaker 2: this great outfit idea. It was like these shorts that 352 00:14:48,425 --> 00:14:50,225 Speaker 2: I have with a knee high boot and I would 353 00:14:50,265 --> 00:14:52,705 Speaker 2: never ever pair those two things together with a fitted 354 00:14:52,705 --> 00:14:56,505 Speaker 2: long sleep and then this oversized sleeveless blazer which. 355 00:14:56,665 --> 00:14:58,345 Speaker 1: And someone went in and said you should try this. 356 00:14:58,625 --> 00:15:00,865 Speaker 2: Yeah, that is so and I tried on and I 357 00:15:00,985 --> 00:15:02,985 Speaker 2: was just I was upsetsed. So I thought, this is genius. 358 00:15:03,025 --> 00:15:06,345 Speaker 1: It's also like video games for grown upspeacause how kids, 359 00:15:06,545 --> 00:15:17,265 Speaker 1: you know people game each other. That's so awesome. Tell 360 00:15:17,305 --> 00:15:19,225 Speaker 1: me when it's sale time, because this is where all 361 00:15:19,225 --> 00:15:21,265 Speaker 1: my logic goes out the window. You seem a bit 362 00:15:21,305 --> 00:15:24,425 Speaker 1: more measured than me, but you know there's sales on 363 00:15:24,585 --> 00:15:26,465 Speaker 1: and it's then extra twenty five percent off, and I go, 364 00:15:26,585 --> 00:15:28,425 Speaker 1: oh my god, and I jump on and buy things. 365 00:15:28,545 --> 00:15:33,625 Speaker 1: How do you approach data and emotions, particularly when you 366 00:15:33,665 --> 00:15:36,065 Speaker 1: know it could be a really good price, How do 367 00:15:36,105 --> 00:15:36,825 Speaker 1: you marry the two? 368 00:15:37,025 --> 00:15:39,305 Speaker 2: So I have something called the thirty days shopping rule, 369 00:15:39,385 --> 00:15:41,145 Speaker 2: and I will say that, yes, there are always going 370 00:15:41,185 --> 00:15:43,225 Speaker 2: to be exceptions. Sometimes you see something, you have this 371 00:15:43,385 --> 00:15:45,945 Speaker 2: emotional urge to add it to your wardrobe, and if 372 00:15:45,945 --> 00:15:47,865 Speaker 2: you have the money to do so, you know, and 373 00:15:47,905 --> 00:15:50,825 Speaker 2: it's the timing's right, But I usually try and wait 374 00:15:50,865 --> 00:15:52,985 Speaker 2: at least thirty days and. 375 00:15:53,465 --> 00:15:54,425 Speaker 1: To think about an item. 376 00:15:54,585 --> 00:15:56,225 Speaker 2: Yeah, but the sales only for three days. 377 00:15:56,225 --> 00:15:57,145 Speaker 1: What are you going to do? 378 00:15:57,185 --> 00:16:00,985 Speaker 2: Just wait for the next one? Oh, your sir, I'm 379 00:16:00,985 --> 00:16:02,665 Speaker 2: of the belief that there's always another sala. 380 00:16:02,785 --> 00:16:05,425 Speaker 1: It's so true, and honestly, the marketing works, and that's 381 00:16:05,465 --> 00:16:08,025 Speaker 1: why I get frantic. You know. It was click frenzy 382 00:16:08,025 --> 00:16:09,945 Speaker 1: a little while ago, and I ignored all of it. 383 00:16:10,025 --> 00:16:11,865 Speaker 1: But then I sat down at my laptop on the Monday, 384 00:16:11,905 --> 00:16:13,305 Speaker 1: and that's when all you think it's over and all 385 00:16:13,345 --> 00:16:15,225 Speaker 1: the brands go extra discount, and that's when. 386 00:16:15,105 --> 00:16:16,345 Speaker 2: I was like, oh what am I missing? 387 00:16:16,425 --> 00:16:18,625 Speaker 1: But you're so right, there's another sale. Well there is 388 00:16:18,625 --> 00:16:21,505 Speaker 1: an Have you ever used Carted? Yes, I've only just 389 00:16:21,545 --> 00:16:23,385 Speaker 1: got cartered. You need to give us a list of 390 00:16:23,385 --> 00:16:25,785 Speaker 1: all the good apps, so explain card for people that 391 00:16:25,825 --> 00:16:26,185 Speaker 1: don't know. 392 00:16:26,265 --> 00:16:28,585 Speaker 2: It's a wish listing app. So you add the things 393 00:16:28,585 --> 00:16:30,785 Speaker 2: that you're thinking about buying to it, and then it 394 00:16:30,905 --> 00:16:32,945 Speaker 2: tracks when it goes on sale. So you get an 395 00:16:32,945 --> 00:16:34,705 Speaker 2: alert if it goes on sale, you get an alert 396 00:16:34,745 --> 00:16:38,065 Speaker 2: if the item restocks. Just say the items available multiple retailers. 397 00:16:38,105 --> 00:16:39,945 Speaker 2: You can link all the retailers and all tell you 398 00:16:39,985 --> 00:16:41,785 Speaker 2: if ones offering it at a better price. 399 00:16:41,985 --> 00:16:43,785 Speaker 1: But I don't look at things before I realize I 400 00:16:43,785 --> 00:16:46,185 Speaker 1: want to buy them. I just go oh, etm oh sale. 401 00:16:46,265 --> 00:16:48,265 Speaker 1: But you know that's so clever. And then you can 402 00:16:48,785 --> 00:16:51,905 Speaker 1: watch it and maybe you get an alert and it's like, oh, 403 00:16:51,905 --> 00:16:53,745 Speaker 1: it's restocked, but it's on sale, and you actually, I 404 00:16:53,745 --> 00:16:54,785 Speaker 1: don't really want it anymore. 405 00:16:54,985 --> 00:16:57,785 Speaker 2: Yeah, and you find that waiting waiting at least you 406 00:16:57,825 --> 00:17:00,185 Speaker 2: know a week even that many of the items that 407 00:17:00,225 --> 00:17:02,305 Speaker 2: you thought you wanted to buy have slowly been filtered out. 408 00:17:02,305 --> 00:17:05,465 Speaker 2: They've been forgotten, you know, they've been lost to time. 409 00:17:05,665 --> 00:17:08,065 Speaker 1: So because it was an emotional purchase or an impulse 410 00:17:08,105 --> 00:17:11,905 Speaker 1: purchase rather than a strategic, yeah, you need to do courses. 411 00:17:12,865 --> 00:17:16,865 Speaker 1: So say we're all a data Personara, We've started to 412 00:17:16,905 --> 00:17:19,705 Speaker 1: do this. It helps with our existing wardrobe, but then 413 00:17:20,025 --> 00:17:24,345 Speaker 1: how do we use that info going forward about purchasing. 414 00:17:24,985 --> 00:17:26,985 Speaker 2: So I think you can see trends in terms of 415 00:17:27,025 --> 00:17:30,585 Speaker 2: what colors you're actually reaching for, so identifying the ones 416 00:17:30,625 --> 00:17:33,105 Speaker 2: that are kind of your core colors. Because we have 417 00:17:33,465 --> 00:17:35,145 Speaker 2: you can do seasonal color analysis. 418 00:17:35,185 --> 00:17:36,825 Speaker 1: But I think we have a tech mine. 419 00:17:37,105 --> 00:17:39,185 Speaker 2: I hated mind, tried to stick with it, and then 420 00:17:39,225 --> 00:17:39,745 Speaker 2: always go. 421 00:17:39,745 --> 00:17:41,185 Speaker 1: To the shop. So I'm like, but I like that 422 00:17:41,345 --> 00:17:43,265 Speaker 1: yellow and I'm not allowed to wear that green. 423 00:17:43,345 --> 00:17:45,665 Speaker 2: But yes, so you can do that. But I think 424 00:17:45,745 --> 00:17:48,825 Speaker 2: we gravitate towards the colors that we really enjoy and 425 00:17:48,865 --> 00:17:50,665 Speaker 2: that make us feel good, and that's kind of what 426 00:17:50,665 --> 00:17:52,745 Speaker 2: you want to feel in your clothes. So that can 427 00:17:52,745 --> 00:17:54,945 Speaker 2: be useful tool. But you end up wearing the colors 428 00:17:54,945 --> 00:17:56,225 Speaker 2: that you like the most, so that can be one 429 00:17:56,385 --> 00:17:58,505 Speaker 2: kind of thing. It can help you identify what you 430 00:17:58,545 --> 00:18:00,745 Speaker 2: aren't wearing, so knowing I'm not going to buy that 431 00:18:00,785 --> 00:18:03,185 Speaker 2: in the future. So there's this saying like love to buy, 432 00:18:03,185 --> 00:18:06,025 Speaker 2: I hate to wear. So maybe you keep buying like 433 00:18:06,105 --> 00:18:08,265 Speaker 2: button up shirts like you're wearing today, but you never 434 00:18:08,305 --> 00:18:08,745 Speaker 2: wear them. 435 00:18:08,945 --> 00:18:12,105 Speaker 1: Okay, you only need a certain amount. 436 00:18:11,905 --> 00:18:13,905 Speaker 2: Well that's true, but if you're never wearing them, it's 437 00:18:13,945 --> 00:18:16,425 Speaker 2: wasted space in your wardrobe and also your time and 438 00:18:16,425 --> 00:18:18,985 Speaker 2: your budget. So that can be a great way to 439 00:18:19,145 --> 00:18:21,545 Speaker 2: kind of filter out those bad purchases. 440 00:18:21,545 --> 00:18:23,185 Speaker 1: Well for me, I mean similar to that, because I've 441 00:18:23,185 --> 00:18:24,905 Speaker 1: spoken a lot on the podcast how much I love 442 00:18:25,105 --> 00:18:29,025 Speaker 1: Chambra shirts, but I definitely don't need another one, And 443 00:18:29,065 --> 00:18:31,865 Speaker 1: so if I'm in store or at my laptop, I 444 00:18:31,865 --> 00:18:35,785 Speaker 1: can go no, Lee, You've got enough, or you know, 445 00:18:35,945 --> 00:18:39,305 Speaker 1: if you know, resell those ones you're allowed, whereas I forget. 446 00:18:39,545 --> 00:18:42,385 Speaker 1: So it's either seeing what you don't wear, not buying 447 00:18:42,385 --> 00:18:44,225 Speaker 1: any more of that, or realizing you have too many 448 00:18:44,225 --> 00:18:47,545 Speaker 1: of something and you don't need another one. Oh my gosh, 449 00:18:47,585 --> 00:18:50,385 Speaker 1: can I pay you to like start my I don't 450 00:18:50,385 --> 00:18:53,385 Speaker 1: know if you'll be able to answer this, but through 451 00:18:53,465 --> 00:18:55,665 Speaker 1: you know, a data lens, which you've been doing for 452 00:18:55,665 --> 00:18:57,585 Speaker 1: a really long time, do you reckon there's a kind 453 00:18:57,625 --> 00:19:02,185 Speaker 1: of general optimal number of items in our wardrobe that 454 00:19:02,385 --> 00:19:04,545 Speaker 1: kind of on average every person would have or is 455 00:19:04,585 --> 00:19:05,585 Speaker 1: that just too hard? 456 00:19:05,945 --> 00:19:08,825 Speaker 2: So I feel like the perfect sized wardrobe doesn't exist 457 00:19:08,905 --> 00:19:13,105 Speaker 2: because everyone has a different lifestyle. They're doing different activities 458 00:19:13,145 --> 00:19:15,825 Speaker 2: but also live in different climates, and that's really going 459 00:19:15,865 --> 00:19:18,705 Speaker 2: to dictate the needs of your wardrobe. I've kind of 460 00:19:18,745 --> 00:19:22,105 Speaker 2: looked into hundreds of people's wardrobes and it's interesting. You 461 00:19:22,185 --> 00:19:25,105 Speaker 2: see a really big difference in the numbers. Some people 462 00:19:25,225 --> 00:19:28,025 Speaker 2: might have fifty items, whereas others have over four hundred 463 00:19:28,065 --> 00:19:31,865 Speaker 2: and fifty. And while maybe the ones with over four 464 00:19:31,985 --> 00:19:34,465 Speaker 2: hundred and fifty in their wardrobe aren't wearing every single 465 00:19:34,505 --> 00:19:36,665 Speaker 2: thing all the time, perhaps there are things that give 466 00:19:36,705 --> 00:19:40,105 Speaker 2: them joy of they've got sentimental value. But ultimately, at 467 00:19:40,145 --> 00:19:42,025 Speaker 2: the end of the day, we typically need less than 468 00:19:42,105 --> 00:19:44,545 Speaker 2: we think. Absolutely, yeah, you can do a lot with 469 00:19:44,625 --> 00:19:47,425 Speaker 2: a little and I mean ten items. You can easily 470 00:19:47,425 --> 00:19:50,225 Speaker 2: turn that into forty plus outfits. 471 00:19:50,745 --> 00:19:52,625 Speaker 1: Interesting to use that kind of data to, like, I 472 00:19:52,665 --> 00:19:54,425 Speaker 1: guess it would be so good for packing, because then 473 00:19:54,465 --> 00:19:56,225 Speaker 1: you can work out combinations one. 474 00:19:56,225 --> 00:19:59,705 Speaker 2: Hundred percent and you can also see how you've styled 475 00:19:59,745 --> 00:20:02,545 Speaker 2: items in the past. You've kind of got a library 476 00:20:02,585 --> 00:20:04,825 Speaker 2: and in dex of outfits to kind of go back to. 477 00:20:05,105 --> 00:20:07,545 Speaker 1: I'm most inspired to do this just for packing because 478 00:20:07,545 --> 00:20:10,265 Speaker 1: I'm always paying overweight folk because I'm like, maybe I'll 479 00:20:10,305 --> 00:20:14,225 Speaker 1: wear that ball gown. Maybe I want to be that person. No, yeah, 480 00:20:14,265 --> 00:20:16,065 Speaker 1: you need it for that es and like you said, 481 00:20:16,105 --> 00:20:18,105 Speaker 1: people might live somewhere where it's snows in winter, but 482 00:20:18,105 --> 00:20:20,625 Speaker 1: it's really hot, you know, whereas if you're from Townsville, 483 00:20:20,665 --> 00:20:23,865 Speaker 1: you probably don't need fifteen coats. Yeah, love it. Talk 484 00:20:23,905 --> 00:20:27,185 Speaker 1: to me about your YouTube series. It's called Influences Made 485 00:20:27,185 --> 00:20:29,185 Speaker 1: Me Buy It? What is this all about? 486 00:20:29,505 --> 00:20:32,345 Speaker 2: Okay? So I think we've all had that purchase or 487 00:20:32,345 --> 00:20:34,785 Speaker 2: maybe more than one, which we have been influenced to 488 00:20:34,825 --> 00:20:37,265 Speaker 2: buy because we've seen someone talk about it and they've 489 00:20:37,265 --> 00:20:40,505 Speaker 2: made it look so appealing, like you know, it's on 490 00:20:40,545 --> 00:20:43,545 Speaker 2: the silver platter and it just looks so shiny, and 491 00:20:43,545 --> 00:20:45,225 Speaker 2: we want to add it to our wardrobes because we 492 00:20:45,265 --> 00:20:48,345 Speaker 2: think if we buy that, it's going to be life changing. 493 00:20:48,705 --> 00:20:50,865 Speaker 1: You think it's going to solve all these problems. Yeah. 494 00:20:50,905 --> 00:20:51,465 Speaker 2: Absolutely. 495 00:20:51,625 --> 00:20:54,345 Speaker 1: And so do you buy these items or review these items? 496 00:20:54,425 --> 00:20:57,265 Speaker 2: Or these are things I've naturally just added into my wardrobe. 497 00:20:57,385 --> 00:21:00,065 Speaker 2: And so it kind of just was birth from me 498 00:21:00,225 --> 00:21:02,105 Speaker 2: reflecting on the things that I've bought, what have been 499 00:21:02,185 --> 00:21:04,225 Speaker 2: good purchases and what have been bad ones? Because I 500 00:21:04,545 --> 00:21:06,145 Speaker 2: look back at the end of every year and I go, 501 00:21:06,225 --> 00:21:08,385 Speaker 2: what were my best purchases that I made? What were 502 00:21:08,385 --> 00:21:09,345 Speaker 2: the worst ones. 503 00:21:09,825 --> 00:21:11,945 Speaker 1: That I obviously follow you and love your content. I 504 00:21:11,985 --> 00:21:14,025 Speaker 1: love when you do I regret these or I don't 505 00:21:14,025 --> 00:21:16,625 Speaker 1: wear these because I find that, not that it's more helpful, 506 00:21:16,625 --> 00:21:19,265 Speaker 1: but people mostly post about things they love, whereas you know, 507 00:21:19,665 --> 00:21:22,225 Speaker 1: seeing okay, that didn't work, it's like, oh okay. Firstly, 508 00:21:22,225 --> 00:21:25,545 Speaker 1: I'm human too, and secondly that's a good PSA for me. 509 00:21:26,025 --> 00:21:27,985 Speaker 1: I just think more, you know, not that we're trying 510 00:21:27,985 --> 00:21:29,705 Speaker 1: to be negative about brands. It's more so that it 511 00:21:29,745 --> 00:21:32,385 Speaker 1: just didn't work for you, and I think that there 512 00:21:32,425 --> 00:21:33,905 Speaker 1: needs to be more of that. So I really like 513 00:21:33,945 --> 00:21:36,225 Speaker 1: that because we're all human. You've got things in your 514 00:21:36,225 --> 00:21:40,825 Speaker 1: wardrobe with tags on, I'm sure I do. I love that. 515 00:21:41,065 --> 00:21:42,865 Speaker 2: I try to wet stuff the week I buy it, but. 516 00:21:44,185 --> 00:21:47,065 Speaker 1: I'm so excited. But no, it's sometimes when you're doing 517 00:21:47,065 --> 00:21:48,985 Speaker 1: that clean out and you're like, you know, we're going 518 00:21:49,065 --> 00:21:51,345 Speaker 1: to regret it. But I think everyone does that and 519 00:21:51,425 --> 00:22:03,465 Speaker 1: you can learn from it if you clock the data. 520 00:22:04,465 --> 00:22:12,065 Speaker 1: It's very expensive, how wondred percent okay, Fougie and budget, 521 00:22:12,145 --> 00:22:14,665 Speaker 1: so you might actually have data on yours. I absolutely 522 00:22:14,705 --> 00:22:17,105 Speaker 1: do not, but it's something that we might be considering 523 00:22:17,305 --> 00:22:18,825 Speaker 1: and think we'll get a lot of wear out of 524 00:22:19,025 --> 00:22:22,265 Speaker 1: or new seasoned items or stuff that you've just worn 525 00:22:22,305 --> 00:22:24,745 Speaker 1: to death, hence your data. Do you want to start 526 00:22:24,785 --> 00:22:27,705 Speaker 1: with your boogie or your budget? My budget? Okay, let's 527 00:22:27,745 --> 00:22:28,465 Speaker 1: do your budget. 528 00:22:28,585 --> 00:22:30,665 Speaker 2: Okay. So I'm wearing them right now. They're a pair 529 00:22:30,665 --> 00:22:33,705 Speaker 2: of genes from H and M and they are the 530 00:22:33,745 --> 00:22:36,665 Speaker 2: best genes one. The quality is exceptional for the price. 531 00:22:36,705 --> 00:22:39,825 Speaker 2: I think they are fifty dollars but non sell for forty. 532 00:22:39,905 --> 00:22:42,545 Speaker 1: Wow. Yeah, I was a stay there, like I thought 533 00:22:42,585 --> 00:22:45,065 Speaker 1: they were really fancy. From here, the denim looks quite thick. 534 00:22:45,105 --> 00:22:47,305 Speaker 1: It's a beautiful black like it's not solid solid, but 535 00:22:47,345 --> 00:22:48,185 Speaker 1: it's not too washed. 536 00:22:48,265 --> 00:22:50,265 Speaker 2: They're so good they remind me a lot of a 537 00:22:50,265 --> 00:22:51,865 Speaker 2: pair of jeens I've got from a New Zealand brand 538 00:22:51,905 --> 00:22:52,985 Speaker 2: I love called Marl. 539 00:22:53,625 --> 00:22:56,545 Speaker 1: I love mal too. Yeah, yeah, G and M. I 540 00:22:56,585 --> 00:22:58,465 Speaker 1: have some CH and M denim. Yeah, I'm gonna go 541 00:22:58,465 --> 00:22:59,065 Speaker 1: get the black. 542 00:22:58,865 --> 00:23:01,225 Speaker 2: Ones, so super underrated. And I have another pair of 543 00:23:01,265 --> 00:23:02,665 Speaker 2: genes from H and M which are great too. 544 00:23:02,865 --> 00:23:05,625 Speaker 1: So I've got the black like quite wide barrel of 545 00:23:05,665 --> 00:23:09,225 Speaker 1: course that's probably my fancy is black barrel ones, because 546 00:23:09,745 --> 00:23:12,865 Speaker 1: I don't want to do the really expensive version. Okay, 547 00:23:12,905 --> 00:23:15,665 Speaker 1: so my budget is I reflect it on my wardrobe. 548 00:23:15,705 --> 00:23:17,785 Speaker 1: Don't have data, but I love a white tea. I 549 00:23:17,825 --> 00:23:20,305 Speaker 1: live in a white tea. I have so many, but 550 00:23:20,345 --> 00:23:22,585 Speaker 1: I actually wear a lot of them, most of them, 551 00:23:22,945 --> 00:23:24,545 Speaker 1: and I think it's mostly because I'm messy and can 552 00:23:24,545 --> 00:23:26,505 Speaker 1: soak them and they come out quite good. With a 553 00:23:26,505 --> 00:23:28,265 Speaker 1: lot of the Uniclow ones, I'm not going to recommend 554 00:23:28,425 --> 00:23:30,625 Speaker 1: that again because listeners will be over it. But no, 555 00:23:30,745 --> 00:23:32,305 Speaker 1: but they are good and I am just so good. 556 00:23:33,825 --> 00:23:37,745 Speaker 1: I know the aerorsm one yes with a thick crew neck. However, 557 00:23:38,585 --> 00:23:41,025 Speaker 1: the other day I wore a brown T shirt and 558 00:23:41,065 --> 00:23:42,665 Speaker 1: I remembered how much I loved it, and the brand 559 00:23:42,665 --> 00:23:44,185 Speaker 1: does are white, so I'm going to get the white. 560 00:23:45,185 --> 00:23:47,025 Speaker 1: It's called Cream. I don't know if you know this brand. 561 00:23:47,025 --> 00:23:51,305 Speaker 1: They're two Aussy Girls Sydney bas Cre double Me unisex, 562 00:23:51,465 --> 00:23:54,945 Speaker 1: very similar to the Uniclow A beautiful thick cotton but 563 00:23:55,025 --> 00:23:57,825 Speaker 1: not not stiff. It's just feels really good quality. I 564 00:23:57,865 --> 00:24:00,585 Speaker 1: think they're about sixty nine dollars and the brown one 565 00:24:00,625 --> 00:24:03,705 Speaker 1: I love, and they're unisex, but there's two versions of 566 00:24:03,705 --> 00:24:06,705 Speaker 1: the cuts. They're very slightly different but still sort of 567 00:24:06,905 --> 00:24:09,625 Speaker 1: oversized classic. I do a little cuff on the sleeve, 568 00:24:09,745 --> 00:24:13,065 Speaker 1: which adds interest. I just the brown one I've trashed, 569 00:24:13,105 --> 00:24:16,145 Speaker 1: and also you can't bleach brown, so it's obviously good quality. 570 00:24:16,145 --> 00:24:17,825 Speaker 1: So I'm going to get the white one because I 571 00:24:17,905 --> 00:24:19,145 Speaker 1: just live in white teas. I've got a lot of 572 00:24:19,185 --> 00:24:21,865 Speaker 1: s damage. I often hide this, and I just feel 573 00:24:21,905 --> 00:24:24,665 Speaker 1: like it's my more elevated version of a singlet. Yeah, 574 00:24:24,825 --> 00:24:25,625 Speaker 1: bougie please? 575 00:24:25,745 --> 00:24:28,545 Speaker 2: Okay? So mine are a pair of heels from eighty 576 00:24:30,105 --> 00:24:32,345 Speaker 2: eighty is hands down one of my favorite shoe brands 577 00:24:32,385 --> 00:24:34,585 Speaker 2: because they're kind of in that mid tier price point, 578 00:24:34,625 --> 00:24:37,505 Speaker 2: so not quite luxury, but not high street. The quality 579 00:24:37,545 --> 00:24:40,025 Speaker 2: of the shoes is excellent, and they suit white feet. 580 00:24:40,425 --> 00:24:42,905 Speaker 2: I don't do uncomfortable shoes, and I like the fact 581 00:24:42,905 --> 00:24:44,905 Speaker 2: that they accommodate my feet. I can stand in them 582 00:24:44,945 --> 00:24:45,385 Speaker 2: all day. 583 00:24:45,545 --> 00:24:46,865 Speaker 1: Okay, but what's the style. 584 00:24:47,025 --> 00:24:49,665 Speaker 2: They're a pointed toe pump from eighty. They actually already 585 00:24:49,665 --> 00:24:51,025 Speaker 2: have them in the black, and so I ordered the 586 00:24:51,065 --> 00:24:53,545 Speaker 2: chocolate swayed and they come into tan too, which is 587 00:24:53,585 --> 00:24:56,305 Speaker 2: it all tail A little bit like a low heel time, Yeah, 588 00:24:56,345 --> 00:24:58,225 Speaker 2: So it kind of gives you that left adds a 589 00:24:58,265 --> 00:25:01,225 Speaker 2: sharpness to an outfit, very cheek I've never bought anything 590 00:25:01,225 --> 00:25:03,385 Speaker 2: from the brand, but I have hearted a lot of 591 00:25:03,385 --> 00:25:05,505 Speaker 2: things on deep hops, so maybe I'll go buy some 592 00:25:06,225 --> 00:25:08,585 Speaker 2: the similar sizes. So if you sell me, let me 593 00:25:08,665 --> 00:25:11,665 Speaker 2: know she is here with me, because since I got her, 594 00:25:11,905 --> 00:25:14,825 Speaker 2: I have not stopped using her VISTSI the Aussie brand 595 00:25:15,225 --> 00:25:16,025 Speaker 2: does handbags. 596 00:25:16,025 --> 00:25:18,425 Speaker 1: I've got so many of their handbags. This is the 597 00:25:18,625 --> 00:25:21,465 Speaker 1: Eden Leather shoulder bag three hundred and twenty nine dollars. 598 00:25:22,065 --> 00:25:24,865 Speaker 1: I had an extremely old Oriton bag that fully zipped 599 00:25:24,905 --> 00:25:27,905 Speaker 1: shut that was just dead, and I've been looking for 600 00:25:27,945 --> 00:25:31,905 Speaker 1: one this size medium for so long and it's phenomenal. 601 00:25:31,945 --> 00:25:36,265 Speaker 1: Then there's two sections inside. Great size because then I 602 00:25:36,265 --> 00:25:38,905 Speaker 1: have a separate laptop bag if I'm kind of coming 603 00:25:38,905 --> 00:25:41,505 Speaker 1: to work or whatever, but just every day I still 604 00:25:41,505 --> 00:25:42,825 Speaker 1: need I don't know why I have so many things. 605 00:25:42,865 --> 00:25:44,385 Speaker 1: I just have a lot of things, and so that's 606 00:25:44,425 --> 00:25:46,785 Speaker 1: the perfect size. It's super comfy and it comes in 607 00:25:46,785 --> 00:25:50,225 Speaker 1: and swayed too. There's a bunch of colors. And I'm 608 00:25:50,265 --> 00:25:54,105 Speaker 1: normally quite a frequent bag changer, but I honestly have 609 00:25:54,225 --> 00:25:56,465 Speaker 1: used this like it's in my ten percent. I would 610 00:25:56,545 --> 00:25:57,905 Speaker 1: use it five days a week. 611 00:25:57,945 --> 00:26:01,025 Speaker 2: It's really classic and the leather of their bags is honestly. 612 00:26:00,745 --> 00:26:02,465 Speaker 1: Three hundred NUND dollars. That is a lot of money 613 00:26:02,505 --> 00:26:04,425 Speaker 1: for a handbag, but I would say the quality is 614 00:26:04,465 --> 00:26:06,625 Speaker 1: better or on par than some bags that I've got 615 00:26:06,705 --> 00:26:08,985 Speaker 1: it that were six hundred or over one thousand. Yeah, 616 00:26:09,025 --> 00:26:10,665 Speaker 1: I just love it. So I didn't even mean to 617 00:26:10,665 --> 00:26:12,785 Speaker 1: bring her for show and tell, but she's always with me. 618 00:26:13,385 --> 00:26:16,025 Speaker 1: Thank you so much. I'm so inspired and overwhelmed. I 619 00:26:16,065 --> 00:26:17,745 Speaker 1: don't know how to use Excel, but this sounds a 620 00:26:17,785 --> 00:26:20,065 Speaker 1: little bit more fun and friendly, so I'm going to 621 00:26:20,225 --> 00:26:21,985 Speaker 1: start doing this and I report back. 622 00:26:22,105 --> 00:26:24,745 Speaker 2: Yes, you need to download the app. Thanks, thank you 623 00:26:24,785 --> 00:26:25,385 Speaker 2: for having me. 624 00:26:27,465 --> 00:26:29,585 Speaker 1: Thank you so much for joining me for Nothing to 625 00:26:29,625 --> 00:26:32,265 Speaker 1: Wear and don't forget. If you want more fashion from us, 626 00:26:32,305 --> 00:26:35,665 Speaker 1: we're on YouTube and on Instagram. We're called Nothing to 627 00:26:35,705 --> 00:26:37,145 Speaker 1: Wear Pod. See you next week.