1 00:00:00,120 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:07,280 --> 00:00:11,160 Speaker 2: This is Bloomberg Business Week with Carol Messer and Tim 3 00:00:11,200 --> 00:00:14,640 Speaker 2: Steneveek on Bloomberg Radio. So, Carol, I've been doing this 4 00:00:14,680 --> 00:00:17,880 Speaker 2: thought experiment. Hey, I've been asking parents. It's very informal, 5 00:00:17,880 --> 00:00:22,120 Speaker 2: it's anecdotal, asking parents of teens about a proposed TikTok ban. 6 00:00:22,200 --> 00:00:24,720 Speaker 2: I've heard from all of them the same thing, literally 7 00:00:24,760 --> 00:00:27,960 Speaker 2: all of them. I hope they ban it. No standard deviation, 8 00:00:28,280 --> 00:00:30,520 Speaker 2: there's no no And this is again not scientific. It's 9 00:00:30,560 --> 00:00:32,639 Speaker 2: just like, Okay, you have a kid, you have a teenager, 10 00:00:32,720 --> 00:00:34,560 Speaker 2: they have a phone, they're on TikTok all the time. 11 00:00:34,600 --> 00:00:36,160 Speaker 3: Well, we know that option could be on the table 12 00:00:36,159 --> 00:00:38,960 Speaker 3: after the US House of Representatives today passed to build 13 00:00:39,000 --> 00:00:41,640 Speaker 3: a banned TikTok in the US unless it's Chinese owner 14 00:00:41,840 --> 00:00:44,040 Speaker 3: sells the video sharing app. But Tim, we know it's 15 00:00:44,080 --> 00:00:45,839 Speaker 3: not just TikTok that has its critics. 16 00:00:45,920 --> 00:00:48,440 Speaker 2: Yeah, people have really had this fraught relationship with all 17 00:00:48,440 --> 00:00:50,880 Speaker 2: different kinds of tech, hardware, software, you name it, their 18 00:00:50,880 --> 00:00:53,920 Speaker 2: digital talk, detox retreats. I tried to delete certain apps 19 00:00:53,920 --> 00:00:55,720 Speaker 2: on weekends so I don't pick up my phone and 20 00:00:55,760 --> 00:00:58,520 Speaker 2: scroll when I'm with my family. The question is how 21 00:00:58,560 --> 00:00:59,920 Speaker 2: did we get here to a place where I really 22 00:01:00,120 --> 00:01:03,400 Speaker 2: ship with technology has become like this. Our next guest 23 00:01:03,440 --> 00:01:05,560 Speaker 2: has been thinking a lot about that and says he 24 00:01:05,600 --> 00:01:08,600 Speaker 2: has a solution. Frank mcot junior as chairman of McCourt Global. 25 00:01:08,640 --> 00:01:11,000 Speaker 2: It's a company with interest in real estate, sports, tech, 26 00:01:11,080 --> 00:01:13,400 Speaker 2: media and more. Frank also the founder and executive chairman 27 00:01:13,440 --> 00:01:16,640 Speaker 2: of Project Liberty, which is, in its own words, advancing 28 00:01:16,680 --> 00:01:19,640 Speaker 2: the responsible development of the Internet of tomorrow, designed and 29 00:01:19,680 --> 00:01:22,399 Speaker 2: governed for the comment good. He's also the author of 30 00:01:22,440 --> 00:01:25,880 Speaker 2: the brand new book Our Biggest Fight Reclaiming Liberty, Humanity, 31 00:01:25,920 --> 00:01:28,800 Speaker 2: and dignity in the Digital Age. Frank, Welcome to Bloomberg 32 00:01:28,800 --> 00:01:29,720 Speaker 2: Business Week. How are you. 33 00:01:29,920 --> 00:01:31,160 Speaker 1: I'm doing good. How are you both doing? 34 00:01:31,280 --> 00:01:34,120 Speaker 2: We're doing well. I'm interested because you're known for a 35 00:01:34,120 --> 00:01:35,800 Speaker 2: lot of things. You're the former owner and chair of 36 00:01:35,800 --> 00:01:38,640 Speaker 2: the La Dodgers, you own a French football club. You've 37 00:01:38,640 --> 00:01:42,600 Speaker 2: worked in construction and real estate for years. What happened 38 00:01:42,640 --> 00:01:44,800 Speaker 2: that prompted you to spend so much money and so 39 00:01:44,920 --> 00:01:47,480 Speaker 2: much time fighting the Internet as we know it? 40 00:01:47,760 --> 00:01:48,000 Speaker 4: Yeah? 41 00:01:48,040 --> 00:01:51,360 Speaker 1: So I wrote Our Biggest Fight to really shine light 42 00:01:51,400 --> 00:01:55,880 Speaker 1: on Project Liberty, which is a five hundred million dollar 43 00:01:55,960 --> 00:02:00,880 Speaker 1: initiative to reimagine how the Internet works and you know, 44 00:02:01,160 --> 00:02:06,880 Speaker 1: and really take back control of our data, which I 45 00:02:06,920 --> 00:02:11,120 Speaker 1: would say is really our personhood in this digital era 46 00:02:11,639 --> 00:02:13,880 Speaker 1: from the kind of the machines of big tech. 47 00:02:13,960 --> 00:02:16,079 Speaker 2: Right, we're the machines, the machines. 48 00:02:17,000 --> 00:02:21,079 Speaker 1: Look, we are connected to the Internet by an IP address. 49 00:02:21,520 --> 00:02:24,080 Speaker 1: So let's start right there. Okay, the Internet is not 50 00:02:24,400 --> 00:02:27,720 Speaker 1: you and I connected, it's our device connected. It was 51 00:02:27,760 --> 00:02:31,680 Speaker 1: built to connect devices, machines, and that's how the Internet 52 00:02:31,720 --> 00:02:35,520 Speaker 1: came into being. And then thirty five years ago yesterday, 53 00:02:35,960 --> 00:02:38,720 Speaker 1: Tim berners Lee created the World Wide Web that was 54 00:02:38,720 --> 00:02:42,800 Speaker 1: to connect data. We have never been connected as people 55 00:02:43,240 --> 00:02:47,040 Speaker 1: on the Internet. So what I put forward in the 56 00:02:47,080 --> 00:02:50,760 Speaker 1: book is is now, knowing how powerful the Internet is 57 00:02:51,360 --> 00:02:55,399 Speaker 1: and how dependent we are on it, and how everything 58 00:02:55,440 --> 00:03:01,399 Speaker 1: we do virtually is digitized, we need to reclaim ownership 59 00:03:01,520 --> 00:03:05,480 Speaker 1: of our digital our social graph, our digital information, our 60 00:03:05,520 --> 00:03:09,799 Speaker 1: relationships and so forth, because it's who we are. It's 61 00:03:09,840 --> 00:03:12,959 Speaker 1: not our data, it's who we are in the digital age. 62 00:03:13,080 --> 00:03:16,239 Speaker 1: And so I call that personhood, right, and it's our 63 00:03:16,280 --> 00:03:19,480 Speaker 1: digital DNA is as important as our biological DNA. It's 64 00:03:19,520 --> 00:03:23,120 Speaker 1: our lived archive. Why on Earth would we give that 65 00:03:23,320 --> 00:03:25,600 Speaker 1: up just for the right of using the internet. We 66 00:03:25,639 --> 00:03:30,840 Speaker 1: need an internet where we're in charge, we're owning and controlling, 67 00:03:30,880 --> 00:03:35,080 Speaker 1: so to speak, our data, and we reclaim that that personhood. 68 00:03:35,120 --> 00:03:36,680 Speaker 3: Well safe to say we didn't know we were giving 69 00:03:36,680 --> 00:03:38,040 Speaker 3: it up, right, We just thought, Wow, this is a 70 00:03:38,080 --> 00:03:39,560 Speaker 3: really cool thing, and look at all the things we 71 00:03:39,600 --> 00:03:41,839 Speaker 3: can do. And many would argue right at the same 72 00:03:41,920 --> 00:03:45,680 Speaker 3: time that the Internet and that connectivity has allowed us 73 00:03:45,720 --> 00:03:48,480 Speaker 3: to do so much more and learn so much more 74 00:03:48,880 --> 00:03:51,160 Speaker 3: about the other. But then there's the dark side and 75 00:03:51,200 --> 00:03:54,240 Speaker 3: bad side to it. Is there though? Can we I mean, 76 00:03:54,320 --> 00:03:56,800 Speaker 3: the horse has left the barn in a long you know, 77 00:03:56,920 --> 00:03:59,880 Speaker 3: a long time ago, Frank, Can we kind of regain 78 00:04:00,080 --> 00:04:03,839 Speaker 3: in our digital identity? Can we go back? Yeah? 79 00:04:03,840 --> 00:04:06,840 Speaker 1: We must, We can, and we must. And I do 80 00:04:06,960 --> 00:04:09,520 Speaker 1: want to focus on something first before I get to 81 00:04:09,600 --> 00:04:12,920 Speaker 1: that solution and so forth. And I do think we 82 00:04:12,960 --> 00:04:14,720 Speaker 1: are learning more and more about the harms, right, we 83 00:04:14,840 --> 00:04:16,640 Speaker 1: hear them every day and. 84 00:04:16,560 --> 00:04:19,039 Speaker 3: This we talk about it all the time, and it's. 85 00:04:18,960 --> 00:04:22,839 Speaker 1: Just going to get worse as a generative AI enters 86 00:04:22,880 --> 00:04:26,000 Speaker 1: the picture, because a broken technology made more powerful will 87 00:04:26,080 --> 00:04:29,200 Speaker 1: just make the problems worse. But I want to just 88 00:04:29,360 --> 00:04:30,960 Speaker 1: highlight one thing you said, you know, there are a 89 00:04:31,000 --> 00:04:33,200 Speaker 1: lot of good things and then some bad things. I 90 00:04:33,240 --> 00:04:36,120 Speaker 1: hear that a lot that we kind of somehow think 91 00:04:36,160 --> 00:04:41,000 Speaker 1: of this technology differently than we would think of For instance, 92 00:04:41,920 --> 00:04:45,520 Speaker 1: let's say we were sitting here and some municipality had 93 00:04:46,360 --> 00:04:51,159 Speaker 1: a water system that was putting water into a million homes, 94 00:04:52,360 --> 00:04:55,400 Speaker 1: and you were reporting today that four hundred thousand of 95 00:04:55,400 --> 00:05:00,240 Speaker 1: those homes were getting toxic water. That we're making the 96 00:05:00,240 --> 00:05:03,599 Speaker 1: households sick and killing some kids. Okay, would we sit 97 00:05:03,640 --> 00:05:06,040 Speaker 1: here and say, well, yeah, but it's it's putting clean 98 00:05:06,080 --> 00:05:09,279 Speaker 1: water in six hundred thousand homes. So kind of on bound? 99 00:05:09,880 --> 00:05:15,280 Speaker 1: Why are we so tolerant of the harms of technology? 100 00:05:15,320 --> 00:05:19,000 Speaker 1: Look at the Internet is ours, it's our data. We 101 00:05:19,040 --> 00:05:21,719 Speaker 1: should be in charge. Why would we want machines to 102 00:05:21,880 --> 00:05:24,359 Speaker 1: drag us into a future we don't want. Let's just 103 00:05:25,200 --> 00:05:29,480 Speaker 1: take them inute, fix it, and then make it more powerful, 104 00:05:29,480 --> 00:05:31,920 Speaker 1: and we fix it by putting individuals in control. I'm 105 00:05:31,920 --> 00:05:32,680 Speaker 1: happy to talk about. 106 00:05:33,160 --> 00:05:35,919 Speaker 2: So in this case, in this analogy, what are what's 107 00:05:36,040 --> 00:05:39,080 Speaker 2: what's the toxic water? What's what are the harms being done? 108 00:05:39,200 --> 00:05:41,120 Speaker 1: So? Yeah, so so where to begin? 109 00:05:41,240 --> 00:05:41,440 Speaker 4: Right? 110 00:05:41,480 --> 00:05:42,719 Speaker 1: So let's think about this. 111 00:05:43,720 --> 00:05:46,200 Speaker 3: Like the Russian inference, interference in the elections. 112 00:05:46,560 --> 00:05:52,640 Speaker 1: Good starting point number two, missing disinformation. 113 00:05:54,000 --> 00:05:54,360 Speaker 3: Children. 114 00:05:55,200 --> 00:05:58,000 Speaker 2: But the problem is, I don't understand how that has 115 00:05:58,040 --> 00:06:00,240 Speaker 2: to do with the structure of the Internet versus Yeah. 116 00:06:00,320 --> 00:06:02,640 Speaker 2: So let's maligne actors. Okay, so on the Internet, right, 117 00:06:02,680 --> 00:06:04,159 Speaker 2: and in this case, you know, we could talk talk 118 00:06:04,160 --> 00:06:08,000 Speaker 2: about maligne actors potentially being foreign governments that want to interfere, 119 00:06:08,520 --> 00:06:12,760 Speaker 2: but also companies that want to create engaging content. And 120 00:06:12,800 --> 00:06:16,159 Speaker 2: I use the term engaging meaning anything that gets people 121 00:06:16,160 --> 00:06:19,120 Speaker 2: to click or scroll, which in some cases is bad 122 00:06:19,160 --> 00:06:19,599 Speaker 2: for people. 123 00:06:19,800 --> 00:06:26,800 Speaker 1: Yeah, so let's let's think about it this way. Okay, 124 00:06:26,960 --> 00:06:31,200 Speaker 1: I'm the head of the postal service, and I come 125 00:06:31,240 --> 00:06:33,560 Speaker 1: to you and say I have an idea I'm gonna 126 00:06:33,560 --> 00:06:39,760 Speaker 1: give you. I'm gonna deliver your mail no stamps for free, 127 00:06:40,040 --> 00:06:42,120 Speaker 1: so no more stamps. So you say, okay, I'm gonna listen. 128 00:06:42,880 --> 00:06:45,719 Speaker 1: Maybe I'd be a little bit suspicious, but i'd listen. 129 00:06:46,040 --> 00:06:49,160 Speaker 1: Then I'd say, Okay, here's the deal. I'm gonna put 130 00:06:49,200 --> 00:06:51,159 Speaker 1: cameras in every one of your homes, every one of 131 00:06:51,160 --> 00:06:53,839 Speaker 1: the rooms in your house, in your car, in your workplace, 132 00:06:53,839 --> 00:06:55,240 Speaker 1: and so forth, and I'm just going to surveil you 133 00:06:55,279 --> 00:06:57,239 Speaker 1: at twenty four to seven. You kind of be creeped 134 00:06:57,240 --> 00:06:59,440 Speaker 1: out by that, right, and then say well, yeah, but 135 00:06:59,720 --> 00:07:03,360 Speaker 1: it's free. And then it's one more thing. I'm going 136 00:07:03,400 --> 00:07:06,320 Speaker 1: to open your mail. I'm going to read it and 137 00:07:06,400 --> 00:07:10,679 Speaker 1: everything I learn is now mine, Okay, your relationships, your ideas, 138 00:07:10,760 --> 00:07:13,480 Speaker 1: everything else. And then you say, well that's I would 139 00:07:13,520 --> 00:07:14,640 Speaker 1: never Why would I do that? 140 00:07:14,760 --> 00:07:17,120 Speaker 3: Okay? And yeah, Then I said, well, but we do it. 141 00:07:17,360 --> 00:07:19,840 Speaker 1: One Well, one other thing. I'm going to read your 142 00:07:19,880 --> 00:07:23,360 Speaker 1: thirteen year old daughter's diary and I'm gonna and I'm 143 00:07:23,360 --> 00:07:25,920 Speaker 1: gonna learn she's a little concerned about her weight. She's thirteen, 144 00:07:26,000 --> 00:07:29,160 Speaker 1: she's insecure, a little vulnerable. I've got some stuff I 145 00:07:29,160 --> 00:07:32,000 Speaker 1: want to sell her, and I'm going to profit from 146 00:07:32,160 --> 00:07:33,520 Speaker 1: her insecurities. 147 00:07:33,760 --> 00:07:34,239 Speaker 3: It's sick. 148 00:07:34,680 --> 00:07:36,840 Speaker 1: It's not something we should be putting up with. And 149 00:07:36,880 --> 00:07:42,000 Speaker 1: so my point is that we have a decentralized intranet. 150 00:07:42,120 --> 00:07:45,120 Speaker 1: Something that Tim tim wrote. Tim Bernersley wrote a letter. 151 00:07:44,960 --> 00:07:46,520 Speaker 3: He publicly he issued it yesterday. 152 00:07:46,600 --> 00:07:49,640 Speaker 1: He said, I created something that was decentralized, that was 153 00:07:49,680 --> 00:07:53,120 Speaker 1: intended to empower human beings. You know, the proverbial tie 154 00:07:53,120 --> 00:07:57,080 Speaker 1: that lifts all boats, and it became something very centralized 155 00:07:57,320 --> 00:08:00,520 Speaker 1: in these big app These big apps are scraping data 156 00:08:01,120 --> 00:08:04,200 Speaker 1: and they're and they're applying algorithms and they're doing things 157 00:08:04,200 --> 00:08:05,800 Speaker 1: with it that are not good for society. 158 00:08:05,880 --> 00:08:07,680 Speaker 3: No individual, You make a good point. I think about 159 00:08:07,720 --> 00:08:09,400 Speaker 3: tim and I have talked about this, Like I've done 160 00:08:09,600 --> 00:08:12,600 Speaker 3: panels with top you know tech execs over the last 161 00:08:12,600 --> 00:08:14,760 Speaker 3: decade where they're like, yeah, my kid doesn't like have 162 00:08:14,760 --> 00:08:16,680 Speaker 3: a have a phone, doesn't have a lot like you know, 163 00:08:16,680 --> 00:08:20,200 Speaker 3: they limited their use their access because they understood. Having 164 00:08:20,560 --> 00:08:25,400 Speaker 3: said that, So, is there too much money though, wrapped 165 00:08:25,480 --> 00:08:28,000 Speaker 3: up in the space right now? People who do make 166 00:08:28,040 --> 00:08:30,480 Speaker 3: the money on the clicks, whether it's good or bad 167 00:08:30,520 --> 00:08:33,280 Speaker 3: information that how do we how do we get away 168 00:08:33,280 --> 00:08:36,560 Speaker 3: from that? How do we change that without that lobbying 169 00:08:36,640 --> 00:08:39,400 Speaker 3: or money behind it to keep it going. Well, so 170 00:08:40,000 --> 00:08:41,360 Speaker 3: we have about a minute and then we'll come back 171 00:08:41,360 --> 00:08:41,839 Speaker 3: and talk more. 172 00:08:41,920 --> 00:08:42,079 Speaker 4: Yeah. 173 00:08:42,120 --> 00:08:44,840 Speaker 1: Well, let's first of all, I would hope your listeners 174 00:08:44,840 --> 00:08:46,920 Speaker 1: would take a couple of hours of their precious time 175 00:08:46,960 --> 00:08:49,640 Speaker 1: and read the book or go to you know, our 176 00:08:49,840 --> 00:08:52,400 Speaker 1: Biggest fight dot com and learn about how they can 177 00:08:52,440 --> 00:08:54,680 Speaker 1: get involved and learn in a little bit more detail 178 00:08:54,800 --> 00:08:56,880 Speaker 1: how this works, but I'm happy to get into more 179 00:08:56,880 --> 00:08:58,000 Speaker 1: detail after the break. 180 00:08:58,200 --> 00:09:00,960 Speaker 3: But I'm saying, but, like, is there too much money 181 00:09:01,040 --> 00:09:04,679 Speaker 3: behind it? The existing structure these tech companies that are 182 00:09:04,720 --> 00:09:08,240 Speaker 3: so dominant in our world, and definitely, you know, have 183 00:09:08,600 --> 00:09:10,320 Speaker 3: the ear of policy. 184 00:09:10,320 --> 00:09:14,280 Speaker 1: Maybe we definitely need to create an ecosystem, a commercial 185 00:09:14,280 --> 00:09:16,760 Speaker 1: ecosystem that will be bigger and better than. 186 00:09:16,600 --> 00:09:17,080 Speaker 3: What we have. 187 00:09:17,559 --> 00:09:20,200 Speaker 1: We know that data is valuable, right, these the biggest 188 00:09:20,200 --> 00:09:22,960 Speaker 1: five of these companies are worth eleven trillion dollars, So 189 00:09:23,200 --> 00:09:26,080 Speaker 1: nobody can say that data isn't valuable anymore. So now 190 00:09:26,360 --> 00:09:30,000 Speaker 1: let's rethink what that economy looks like going forward, and 191 00:09:30,080 --> 00:09:33,880 Speaker 1: let's unlock the innovation and ingenuity of Americans, right and 192 00:09:33,960 --> 00:09:35,160 Speaker 1: actually build something that's healthy. 193 00:09:35,240 --> 00:09:37,160 Speaker 3: Now, we've talked about these digital doh CAAs that are 194 00:09:37,160 --> 00:09:39,239 Speaker 3: being built on all of us, and it is incredibly 195 00:09:39,360 --> 00:09:43,680 Speaker 3: value and then so what's our that's our data? Do 196 00:09:43,760 --> 00:09:47,000 Speaker 3: we get some piece of that or some control over that? 197 00:09:47,080 --> 00:09:50,160 Speaker 3: Good idea right in the future. Absolutely, like sign me up. 198 00:09:50,800 --> 00:09:52,320 Speaker 3: We're not gonna let them go anywhere. We're gonna come 199 00:09:52,360 --> 00:09:54,600 Speaker 3: back with Frank Mcourt, Junior chairman of M Court Global, 200 00:09:54,679 --> 00:09:56,920 Speaker 3: Founder and executive chairman of Project liberty, and we want 201 00:09:56,920 --> 00:09:59,040 Speaker 3: to get to some points for those who are listening 202 00:09:59,120 --> 00:10:01,800 Speaker 3: about what they can do maybe change this if they 203 00:10:01,840 --> 00:10:04,480 Speaker 3: are interested. And his new Biggest or his new book, 204 00:10:04,480 --> 00:10:08,000 Speaker 3: Our Biggest Fight Reclaiming Liberty, Humanity and Dignity in the 205 00:10:08,040 --> 00:10:10,040 Speaker 3: Digital a. We're going to get back to that conversation 206 00:10:10,080 --> 00:10:10,680 Speaker 3: in just a moment. 207 00:10:10,880 --> 00:10:13,880 Speaker 2: We're still here with Frank McCourt, junior chairman of McCourt Global. 208 00:10:14,480 --> 00:10:17,920 Speaker 2: He's also the executive chairman and founder of Project Liberty 209 00:10:17,960 --> 00:10:21,400 Speaker 2: new book Our Biggest Fight Reclaiming Liberty, Humanity and Dignity 210 00:10:21,720 --> 00:10:25,960 Speaker 2: in the Digital Age. Frank, you're obviously so passionate about this, 211 00:10:26,160 --> 00:10:29,360 Speaker 2: and I've got to ask do you have any sort 212 00:10:29,360 --> 00:10:30,400 Speaker 2: of dog in the fight here? 213 00:10:30,520 --> 00:10:30,880 Speaker 3: Like there? 214 00:10:30,920 --> 00:10:33,599 Speaker 2: Do you have any sort of financial interest in creating 215 00:10:33,679 --> 00:10:34,680 Speaker 2: a more open Internet. 216 00:10:35,400 --> 00:10:38,880 Speaker 1: I hope that our tech people will eventually build things 217 00:10:38,920 --> 00:10:41,760 Speaker 1: in this new world with millions of other people. But 218 00:10:41,880 --> 00:10:44,880 Speaker 1: our focus right now has been to put forward a 219 00:10:44,920 --> 00:10:51,719 Speaker 1: piece of infrastructure, public digital infrastructure at we'll call it 220 00:10:51,760 --> 00:10:56,960 Speaker 1: a protocol level piece called DSNP, which we've gifted to 221 00:10:57,000 --> 00:11:00,800 Speaker 1: the world. It's basically like Tim Bernersley gifted HGT. No 222 00:11:00,880 --> 00:11:03,959 Speaker 1: one should own the Internet or own our relationships. That's 223 00:11:03,960 --> 00:11:05,880 Speaker 1: the point we're trying to make here, and then we 224 00:11:05,920 --> 00:11:08,520 Speaker 1: can all build on it. I would also add that 225 00:11:08,840 --> 00:11:12,360 Speaker 1: we need to be creating a commercial ecosystem here that 226 00:11:12,400 --> 00:11:13,120 Speaker 1: people will. 227 00:11:12,920 --> 00:11:13,719 Speaker 3: Build on or all. 228 00:11:13,800 --> 00:11:16,240 Speaker 1: This just is a nice idea that will never happen 229 00:11:16,480 --> 00:11:20,400 Speaker 1: because these are huge, huge platforms. So I think, you know, 230 00:11:20,440 --> 00:11:24,720 Speaker 1: we're sitting back and I'm seeing and feeling the same 231 00:11:25,160 --> 00:11:28,640 Speaker 1: things that you all are about. Something's wrong. We're seeing 232 00:11:28,640 --> 00:11:31,960 Speaker 1: the harms to kids. We're seeing our information ecosystem is 233 00:11:32,000 --> 00:11:37,199 Speaker 1: completely contaminated. We're seeing democracy struggle. So we need to 234 00:11:37,240 --> 00:11:39,160 Speaker 1: fix this. And so normally you go to these big 235 00:11:39,200 --> 00:11:43,120 Speaker 1: tech CEOs and say, the problems are obvious, we've had 236 00:11:43,240 --> 00:11:46,880 Speaker 1: hearings after hearing fix it. They haven't and they're not 237 00:11:46,880 --> 00:11:50,920 Speaker 1: incentivized to fix it in the pre digital world. Then 238 00:11:50,920 --> 00:11:52,599 Speaker 1: you go to your elected officials, you know, you go 239 00:11:52,640 --> 00:11:54,640 Speaker 1: to Congress and say, look at the harms. You need 240 00:11:54,679 --> 00:11:57,920 Speaker 1: to regulate this or have some new policies. We've seen 241 00:11:57,960 --> 00:11:59,559 Speaker 1: now for several years it's theater. 242 00:11:59,760 --> 00:12:00,000 Speaker 4: Right. 243 00:12:00,040 --> 00:12:02,760 Speaker 1: People show up, there's these big hearings, and Zuckerberg and 244 00:12:02,760 --> 00:12:06,040 Speaker 1: the rest show up, and then nothing happens. Why our 245 00:12:06,120 --> 00:12:10,000 Speaker 1: politics is impacted by this very same technology that just 246 00:12:10,400 --> 00:12:13,079 Speaker 1: polarizes everybody and causes that paralysis. 247 00:12:13,120 --> 00:12:14,640 Speaker 2: Well, that's it feels like that. I mean, it feels 248 00:12:14,679 --> 00:12:17,280 Speaker 2: like every opportunity for a lawmaker to do something outrageous 249 00:12:17,320 --> 00:12:19,200 Speaker 2: is an opportunity of them to create a click and 250 00:12:19,280 --> 00:12:19,760 Speaker 2: raise money. 251 00:12:19,840 --> 00:12:21,839 Speaker 3: Well, the whole thing that's going on with TikTok. I 252 00:12:21,920 --> 00:12:24,160 Speaker 3: keep asking the question is it politics or policy that 253 00:12:24,200 --> 00:12:27,200 Speaker 3: people are concerned about, And it just feels like people 254 00:12:27,280 --> 00:12:29,600 Speaker 3: aren't concerned about politically what they can say and how 255 00:12:29,600 --> 00:12:32,920 Speaker 3: it looks. TikTok ban. Should we ban it? 256 00:12:33,080 --> 00:12:36,920 Speaker 1: Well, TikTok for sure is a problem for two reasons. 257 00:12:37,200 --> 00:12:41,320 Speaker 1: One is again this surveillance aspect of it, where it's 258 00:12:41,360 --> 00:12:46,760 Speaker 1: collecting all of our information and in TikTok's case, exporting it. Right, 259 00:12:46,840 --> 00:12:49,800 Speaker 1: this is now the Chinese Communist Party has all this 260 00:12:49,920 --> 00:12:53,920 Speaker 1: information on all these all of US American citizens. Of 261 00:12:54,040 --> 00:12:57,120 Speaker 1: course that shouldn't happen. But the other point I want 262 00:12:57,120 --> 00:13:03,000 Speaker 1: to make is the model of this extractive, exploitive, predatory 263 00:13:03,320 --> 00:13:08,120 Speaker 1: technology where we're being essentially surveiled and our information is 264 00:13:08,120 --> 00:13:13,080 Speaker 1: being scraped, is the same model that American apps are using, 265 00:13:13,360 --> 00:13:16,959 Speaker 1: such as such as Facebook and Instagram and Twitter and 266 00:13:17,880 --> 00:13:21,720 Speaker 1: Google and Amazon and so forth. It's all about our 267 00:13:22,320 --> 00:13:26,400 Speaker 1: social graph, which is essentially all of our personal data. 268 00:13:26,720 --> 00:13:29,079 Speaker 1: And that doesn't it doesn't just mean where we shop 269 00:13:29,160 --> 00:13:31,000 Speaker 1: or buy shoes. It's everything. 270 00:13:31,200 --> 00:13:33,720 Speaker 2: Mark Zuckerberg has talked about this for years. He's used 271 00:13:33,720 --> 00:13:36,360 Speaker 2: that term publicly, the social graph. I mean, he tried 272 00:13:36,360 --> 00:13:38,000 Speaker 2: to get it sort of an iteration of it to 273 00:13:38,000 --> 00:13:40,360 Speaker 2: take off in the Facebook news feed gosh back in 274 00:13:40,400 --> 00:13:41,120 Speaker 2: like twenty twelve. 275 00:13:41,200 --> 00:13:42,679 Speaker 3: But how do you get away from it even in 276 00:13:42,840 --> 00:13:45,040 Speaker 3: the platform that you are offering up, Because in a 277 00:13:45,120 --> 00:13:48,439 Speaker 3: digital world, doesn't something live somewhere always? 278 00:13:48,840 --> 00:13:51,400 Speaker 1: So yeah, that's a great, a great question. First of all, 279 00:13:51,400 --> 00:13:54,800 Speaker 1: I'm not offering up a platform. I'm offering up a roadmap. 280 00:13:55,200 --> 00:13:55,520 Speaker 3: Okay. 281 00:13:56,080 --> 00:13:59,080 Speaker 1: And the title of the book is not my biggest fight, 282 00:13:59,840 --> 00:14:02,840 Speaker 1: it's our biggest fight. This is not going to happen 283 00:14:03,120 --> 00:14:06,760 Speaker 1: unless we bring really millions of people into this conversation. 284 00:14:07,160 --> 00:14:10,679 Speaker 1: And so what we're suggesting is we have a problem 285 00:14:10,800 --> 00:14:13,320 Speaker 1: with the infrastrucure. Look, I'm a fifth generation builder. We 286 00:14:13,400 --> 00:14:17,760 Speaker 1: build infrastructure. We have an infrastructure or engineering problem that 287 00:14:17,800 --> 00:14:21,320 Speaker 1: we can fix and then build great stuff on it. 288 00:14:21,520 --> 00:14:23,880 Speaker 1: But if we don't fix the tech we're going to 289 00:14:23,920 --> 00:14:27,280 Speaker 1: continually be spending all of our time and precious you know, 290 00:14:27,760 --> 00:14:31,680 Speaker 1: precious time, precious, precious tax money and resources and so 291 00:14:31,720 --> 00:14:33,000 Speaker 1: forth on putting out. 292 00:14:32,880 --> 00:14:34,840 Speaker 3: These fires and mitigating damage. 293 00:14:35,480 --> 00:14:38,560 Speaker 1: Why not just fix the problem and then go start 294 00:14:38,600 --> 00:14:42,600 Speaker 1: solving the other problems that the Americans want to see solved. 295 00:14:42,840 --> 00:14:46,240 Speaker 1: So we need now not just to have a tech project, 296 00:14:46,320 --> 00:14:49,280 Speaker 1: and Project Liberty is also a project that brings in 297 00:14:49,520 --> 00:14:52,960 Speaker 1: civil society and brings in social scientists so that the 298 00:14:53,000 --> 00:14:56,880 Speaker 1: next generation of the Internet is not just designed by technologists. 299 00:14:56,920 --> 00:14:59,680 Speaker 2: Do you think this problem can be solved with the 300 00:14:59,680 --> 00:15:03,080 Speaker 2: free market alone or the government needs to get involved? 301 00:15:03,640 --> 00:15:06,760 Speaker 1: Another great question. I think we can definitely solve the 302 00:15:06,840 --> 00:15:09,120 Speaker 1: tech problem with the free market alone, and we can 303 00:15:09,240 --> 00:15:13,040 Speaker 1: build out the new and improved Internet, let's call it 304 00:15:13,040 --> 00:15:13,840 Speaker 1: the improved Internet. 305 00:15:13,840 --> 00:15:15,760 Speaker 2: And that's a David and Goliath story, because you're talking 306 00:15:15,800 --> 00:15:18,880 Speaker 2: about a startup essentially going against the biggest companies in 307 00:15:18,920 --> 00:15:19,280 Speaker 2: the world. 308 00:15:19,600 --> 00:15:22,920 Speaker 1: Like, I like our chances if it's millions of people 309 00:15:22,920 --> 00:15:25,680 Speaker 1: getting involved here. I don't like our chances if it's 310 00:15:25,720 --> 00:15:28,560 Speaker 1: a little I like if it's an a David against 311 00:15:28,560 --> 00:15:31,080 Speaker 1: the Goliath story, I don't like our chances if it's 312 00:15:31,280 --> 00:15:34,880 Speaker 1: a million Davids against the glias, we will change this, 313 00:15:35,000 --> 00:15:37,880 Speaker 1: and so I think this all can be changed eventually. 314 00:15:38,960 --> 00:15:43,840 Speaker 1: We will want some that once people see that there's 315 00:15:43,880 --> 00:15:46,680 Speaker 1: an alternative to this, it doesn't have to be this way. 316 00:15:47,240 --> 00:15:49,640 Speaker 1: Then I think the government will step in because they'll 317 00:15:49,640 --> 00:15:52,120 Speaker 1: have to to make sure they facilitate that. 318 00:15:52,240 --> 00:15:54,000 Speaker 3: Frank do you feel like the Europeans are leading kind 319 00:15:54,000 --> 00:15:55,640 Speaker 3: of already on this way? Like I do feel like 320 00:15:55,640 --> 00:15:57,760 Speaker 3: when it comes to social media, even AI, there were 321 00:15:57,840 --> 00:16:01,000 Speaker 3: some stuff that came out, I mean, the kind of 322 00:16:01,080 --> 00:16:04,000 Speaker 3: going in the right direction or not necessarily. 323 00:16:04,120 --> 00:16:07,920 Speaker 1: I think that they're they're they're they're leading from the 324 00:16:08,000 --> 00:16:11,560 Speaker 1: vantage point of being able to take public policy objectives 325 00:16:12,200 --> 00:16:15,880 Speaker 1: and reduce them to law or regulation. So they have 326 00:16:16,400 --> 00:16:20,360 Speaker 1: they have passed regulations like GDPR, d m A, d 327 00:16:20,480 --> 00:16:24,800 Speaker 1: s A, and they just passed the law about artificial intelligence. However, 328 00:16:25,480 --> 00:16:29,840 Speaker 1: those regulations and laws are not really changing much because 329 00:16:30,280 --> 00:16:34,000 Speaker 1: they're dependent on these platforms that we're referring to, mostly 330 00:16:34,080 --> 00:16:38,040 Speaker 1: American existing platforms, so they're kind of stuck. That we 331 00:16:38,160 --> 00:16:41,560 Speaker 1: need rather than try to have policies that impact the tech, 332 00:16:41,880 --> 00:16:45,120 Speaker 1: we need to have the tech designed to actually optimize 333 00:16:45,240 --> 00:16:48,800 Speaker 1: for what we want the society to optimize for. Shouldn't 334 00:16:48,800 --> 00:16:52,560 Speaker 1: we be optimizing for strong democracy. Shouldn't we be optimizing 335 00:16:52,600 --> 00:16:56,040 Speaker 1: for protecting young kids? Why would we have crazy, you know, 336 00:16:56,080 --> 00:16:59,520 Speaker 1: technology that's running rampant over these things and then have 337 00:16:59,560 --> 00:17:00,560 Speaker 1: to go I'm going to go. 338 00:17:00,520 --> 00:17:02,880 Speaker 3: Off on a crazy thing, and then we'll come back 339 00:17:02,880 --> 00:17:04,399 Speaker 3: and talk some more. But I think about we live 340 00:17:04,400 --> 00:17:07,960 Speaker 3: in a country where we talk about gun legislation and 341 00:17:08,000 --> 00:17:10,440 Speaker 3: we have shooting after shooting after shooting, and we say 342 00:17:10,480 --> 00:17:12,480 Speaker 3: every time, Okay, this is going to change something, and 343 00:17:12,520 --> 00:17:15,480 Speaker 3: it doesn't. So it makes me a little concerned whether 344 00:17:15,560 --> 00:17:17,680 Speaker 3: or not we can get that public momentum. 345 00:17:17,720 --> 00:17:20,720 Speaker 1: I would just say quickly, we have technology that's designed 346 00:17:20,720 --> 00:17:23,280 Speaker 1: so that we don't solve those problems. Well, we won't 347 00:17:23,280 --> 00:17:26,679 Speaker 1: solve climate change, we won't solve the immigration issue, we 348 00:17:26,720 --> 00:17:29,600 Speaker 1: won't solve the gun violence issue, because the technology is 349 00:17:29,640 --> 00:17:32,359 Speaker 1: designed to keep us in a constant state of fifty 350 00:17:32,359 --> 00:17:33,200 Speaker 1: to fifty four and. 351 00:17:33,160 --> 00:17:35,239 Speaker 3: Against Yeah, and in a vacuum where we just kind 352 00:17:35,240 --> 00:17:37,760 Speaker 3: of continue to hear. We've only got about two minutes. 353 00:17:38,040 --> 00:17:40,439 Speaker 3: Tell us what you would like to leave our audience with. 354 00:17:42,520 --> 00:17:44,879 Speaker 1: First of all, I'd like them too as I said earlier, 355 00:17:45,440 --> 00:17:48,720 Speaker 1: take a couple hours read the book Our Biggest Fight, 356 00:17:49,240 --> 00:17:54,000 Speaker 1: and I've tried to write it in accessible language, and 357 00:17:54,040 --> 00:17:55,880 Speaker 1: it's not a long book. I actually used Thomas pain 358 00:17:55,920 --> 00:17:58,080 Speaker 1: as my inspiration, the guy that wrote Common Sense in 359 00:17:58,160 --> 00:18:00,920 Speaker 1: seventeen seventy five, right, and he said, you. 360 00:18:00,920 --> 00:18:01,680 Speaker 3: Have a choice. 361 00:18:01,880 --> 00:18:03,920 Speaker 1: You can either be a subject or a citizen. Well, 362 00:18:03,920 --> 00:18:05,919 Speaker 1: we have that choice again. We can need to be 363 00:18:05,960 --> 00:18:08,919 Speaker 1: subjects to these big platforms, or we can actually be 364 00:18:08,960 --> 00:18:12,760 Speaker 1: digital citizens where we own and control our data, which 365 00:18:12,800 --> 00:18:15,639 Speaker 1: means we own and control ourselves in the digital world. 366 00:18:15,880 --> 00:18:20,080 Speaker 1: There's no biological us and digital us. We're one and 367 00:18:20,119 --> 00:18:23,000 Speaker 1: the same. So that's so please read the book, Please 368 00:18:23,000 --> 00:18:25,680 Speaker 1: go to Our Biggest Fight dot com and learn more, 369 00:18:25,920 --> 00:18:27,720 Speaker 1: and so forth. But if there's one thing I could 370 00:18:27,720 --> 00:18:29,920 Speaker 1: ask people to do right now, it would be other 371 00:18:30,000 --> 00:18:33,639 Speaker 1: than that. It would be socialize this issue. Talk about 372 00:18:33,640 --> 00:18:36,480 Speaker 1: this issue. I know there are millions of people out 373 00:18:36,520 --> 00:18:39,439 Speaker 1: there seeing and feeling the same thing I am and 374 00:18:39,560 --> 00:18:42,679 Speaker 1: you are. And so let's get it to the kitchen table. 375 00:18:43,000 --> 00:18:45,440 Speaker 1: Let's get it to the sideline of the soccer game, 376 00:18:45,600 --> 00:18:48,200 Speaker 1: the kids soccer game. Let's get it to the into 377 00:18:48,200 --> 00:18:51,000 Speaker 1: your school, into the school board, into the the parents 378 00:18:51,040 --> 00:18:53,800 Speaker 1: in schools. Let's get it to talk about it after church. 379 00:18:54,160 --> 00:18:57,679 Speaker 1: Let's let's socialize this issue, because I think we're going 380 00:18:57,760 --> 00:19:00,800 Speaker 1: to find that millions and millions of people once they 381 00:19:00,880 --> 00:19:04,199 Speaker 1: realize how their data is being used and how it's 382 00:19:04,280 --> 00:19:07,840 Speaker 1: being turned to hurt them and harm them and harm 383 00:19:07,880 --> 00:19:10,280 Speaker 1: their kids, they're going to be outraged and they're going 384 00:19:10,320 --> 00:19:11,400 Speaker 1: to demand change if we. 385 00:19:11,359 --> 00:19:15,200 Speaker 3: Don't do this. Thirty seconds left, what happens. 386 00:19:15,560 --> 00:19:18,960 Speaker 1: Well, we're seeing what's happening right with artificial with generative AI. 387 00:19:19,160 --> 00:19:22,040 Speaker 1: This is the same technology which is taking our data, 388 00:19:22,600 --> 00:19:27,679 Speaker 1: these machines ingesting it right and applying quote artificial intelligence 389 00:19:27,760 --> 00:19:31,560 Speaker 1: algorithms to it to go ahead and create all this stuff. 390 00:19:31,720 --> 00:19:33,600 Speaker 1: And we see some of the stuff coming out as wacky, 391 00:19:33,720 --> 00:19:37,679 Speaker 1: right because garbage in, garbage out. I say, let's let's 392 00:19:37,680 --> 00:19:40,840 Speaker 1: not have the machines drag us into a future we 393 00:19:40,880 --> 00:19:45,920 Speaker 1: don't want. Let's get the tech right, put individuals back 394 00:19:45,920 --> 00:19:48,520 Speaker 1: in charge, and then build great tech that will be 395 00:19:48,520 --> 00:19:51,040 Speaker 1: better for the next generation than generations. 396 00:19:50,520 --> 00:19:52,440 Speaker 3: After open door come back anytime. 397 00:19:52,480 --> 00:19:53,800 Speaker 1: I would love to thanks for your time. 398 00:19:53,840 --> 00:19:56,720 Speaker 3: Frank McCourt, Junior chairman and McCort Global founder and executive 399 00:19:56,760 --> 00:19:59,600 Speaker 3: chair of Project Liberty are his new book, Our Biggest 400 00:19:59,640 --> 00:20:01,080 Speaker 3: Fight is out now. 401 00:20:01,400 --> 00:20:04,480 Speaker 2: Speaking of retail, we talked about what's happening at Dollar 402 00:20:04,520 --> 00:20:08,320 Speaker 2: Trade just now. We talked about icating higher income consumers. 403 00:20:08,320 --> 00:20:11,520 Speaker 2: It plans to include products that costs up to seven dollars. 404 00:20:11,600 --> 00:20:15,000 Speaker 2: The stock fel today because they're closing about one thousand stores. Also, 405 00:20:15,080 --> 00:20:18,000 Speaker 2: Carol retail sales for February. We're going to get those tomorrow. 406 00:20:18,480 --> 00:20:21,800 Speaker 2: They're likely to rebound after adverse weather and unfavorable seasonal 407 00:20:21,840 --> 00:20:24,880 Speaker 2: adjustment factors. Wait on January figures. That comes from analysts 408 00:20:24,880 --> 00:20:26,480 Speaker 2: over at Bloomberg Economics. 409 00:20:26,560 --> 00:20:28,159 Speaker 3: Listen, We've got a great guest to talk about the 410 00:20:28,160 --> 00:20:30,719 Speaker 3: retail environment and how the consumer is doing. Julie Van 411 00:20:30,760 --> 00:20:33,760 Speaker 3: Allen is chief revenue officer over at Racketin. It's the 412 00:20:33,840 --> 00:20:36,760 Speaker 3: technology conglomerate. You know them well. They offer cash back 413 00:20:36,800 --> 00:20:39,919 Speaker 3: to consumers for shopping eight hours of the company. By 414 00:20:39,920 --> 00:20:41,600 Speaker 3: the way, that train the US are up more than 415 00:20:41,640 --> 00:20:43,679 Speaker 3: twenty percent year to date. Julie, great to have you 416 00:20:43,720 --> 00:20:46,399 Speaker 3: here with Tim and myself. Let's start. We like size 417 00:20:46,400 --> 00:20:49,320 Speaker 3: and scope, we like going broad to begin here, and 418 00:20:49,440 --> 00:20:52,639 Speaker 3: let's do that. How are consumers doing and what specifically 419 00:20:52,720 --> 00:20:57,400 Speaker 3: are you seeing in terms of spending activities in your 420 00:20:57,440 --> 00:20:59,000 Speaker 3: purview and on your site. 421 00:21:00,359 --> 00:21:02,800 Speaker 4: Well, first, thanks for having me, Carolyn Tam. Always love 422 00:21:02,880 --> 00:21:06,440 Speaker 4: being with you guys. I mean, the trend continues where 423 00:21:06,440 --> 00:21:08,359 Speaker 4: we've got to wake up every day and see what's 424 00:21:08,400 --> 00:21:11,439 Speaker 4: going on. It is still our moment is still that 425 00:21:11,600 --> 00:21:14,920 Speaker 4: of pivoting and understanding what is the consumer doing today? 426 00:21:15,640 --> 00:21:19,000 Speaker 4: And what I can say is that inflation continues to increase, 427 00:21:19,040 --> 00:21:22,760 Speaker 4: as we all know, particularly in areas that impact the 428 00:21:22,840 --> 00:21:26,919 Speaker 4: consumer gas, energy, rent prices, and that really highlights a 429 00:21:26,960 --> 00:21:31,480 Speaker 4: potentially negative impact on retailers as these consumers effectively look 430 00:21:31,760 --> 00:21:35,720 Speaker 4: to save money. Now, saving money can come in all 431 00:21:35,760 --> 00:21:37,040 Speaker 4: sorts of different forms. 432 00:21:37,119 --> 00:21:39,359 Speaker 5: As we know, Rackutan offers a. 433 00:21:39,440 --> 00:21:45,040 Speaker 4: Really valuable offering to our retailers and brands by way 434 00:21:45,040 --> 00:21:49,960 Speaker 4: of giving value to consumers as cash back. Right, so 435 00:21:50,119 --> 00:21:52,760 Speaker 4: we're very well positioned for a moment like this that 436 00:21:52,800 --> 00:21:57,000 Speaker 4: we're calling, you know, cautiously out shopping last year is 437 00:21:57,040 --> 00:22:00,520 Speaker 4: what we're seeing on our platform, largely driven the fact 438 00:22:00,560 --> 00:22:04,119 Speaker 4: that consumers do still seem to be interested in spending, 439 00:22:04,240 --> 00:22:07,320 Speaker 4: and from what we see actually out spending last year, 440 00:22:07,720 --> 00:22:12,080 Speaker 4: but very much associated with categories and brands who are 441 00:22:12,119 --> 00:22:13,960 Speaker 4: offering them the value that they're looking for. 442 00:22:14,160 --> 00:22:15,879 Speaker 2: What are some of those categories? What are some of 443 00:22:15,880 --> 00:22:18,440 Speaker 2: those brands If you can dig a little deeper into 444 00:22:18,480 --> 00:22:19,080 Speaker 2: the data. 445 00:22:18,840 --> 00:22:24,200 Speaker 4: Here, Yeah, if I'm to look for some correlations here, 446 00:22:24,400 --> 00:22:28,160 Speaker 4: it's a lot to do with what brands are offering 447 00:22:28,200 --> 00:22:32,240 Speaker 4: the consumer. So Racketin's own data shows a really positive 448 00:22:32,400 --> 00:22:37,560 Speaker 4: and exciting correlation between categories who have adopted an increased 449 00:22:37,680 --> 00:22:40,879 Speaker 4: level of cash back versus last year, and then the 450 00:22:40,920 --> 00:22:47,080 Speaker 4: subsequent increased average order value or the amount of trips 451 00:22:47,080 --> 00:22:49,600 Speaker 4: that a shopper is taking to their store the frequency 452 00:22:49,960 --> 00:22:53,120 Speaker 4: that those shoppers are taking in their store. So, if 453 00:22:53,119 --> 00:22:55,480 Speaker 4: we dig a little bit deeper, the categories who have 454 00:22:55,600 --> 00:23:00,080 Speaker 4: really leaned in heavily understanding that the consumer of toad 455 00:23:00,240 --> 00:23:03,720 Speaker 4: is looking for value and who have increased cash back 456 00:23:03,800 --> 00:23:07,320 Speaker 4: rates over last year. We see the pets category doing 457 00:23:07,359 --> 00:23:11,640 Speaker 4: extremely well, having grown over one hundred percent in trips 458 00:23:12,000 --> 00:23:16,640 Speaker 4: year over year. We also see appliances in hardware. They're 459 00:23:16,680 --> 00:23:20,320 Speaker 4: seeing an increase of ten percent in trips here over year, 460 00:23:20,320 --> 00:23:24,080 Speaker 4: but an increase of twelve percent in average order value, 461 00:23:24,800 --> 00:23:28,440 Speaker 4: which is an incredible outcome. Right to see an increase 462 00:23:28,520 --> 00:23:31,679 Speaker 4: of order value in the amount that consumers are spending 463 00:23:31,720 --> 00:23:34,600 Speaker 4: with you, even more than they're visiting, just by way 464 00:23:34,640 --> 00:23:38,320 Speaker 4: of spending a little bit extra to give them a reward. 465 00:23:38,880 --> 00:23:43,400 Speaker 4: Marketplace is also doing extremely well Home and garden and 466 00:23:43,720 --> 00:23:47,439 Speaker 4: travel is a real standout because typically Q one is 467 00:23:47,440 --> 00:23:50,520 Speaker 4: a very promotional period for travel, and they spend quite 468 00:23:50,560 --> 00:23:54,360 Speaker 4: a lot to lower consumers their way in Q one anyway, 469 00:23:54,600 --> 00:23:58,159 Speaker 4: and this Q one has kind of not been too different, 470 00:23:58,240 --> 00:24:01,800 Speaker 4: except there's even more leaning into those higher cash back 471 00:24:01,880 --> 00:24:07,240 Speaker 4: rates to achieve the high price point purchases that they're 472 00:24:07,240 --> 00:24:10,119 Speaker 4: looking for. And the travel has increased twenty two percent 473 00:24:10,200 --> 00:24:12,159 Speaker 4: year over year for US in terms of trips. 474 00:24:12,320 --> 00:24:15,080 Speaker 3: So, Julie, help me understand here. So when you say 475 00:24:15,080 --> 00:24:18,280 Speaker 3: they're leaning in more to get that spend, I guess 476 00:24:18,280 --> 00:24:21,000 Speaker 3: in their basket to get the cash back. So does 477 00:24:21,040 --> 00:24:25,960 Speaker 3: that mean the retailer is in or or who's ever 478 00:24:26,000 --> 00:24:28,159 Speaker 3: offering up the deal is in the driver's seat, or 479 00:24:28,200 --> 00:24:30,680 Speaker 3: is the consumer in the driver's seat because they're pushing 480 00:24:30,760 --> 00:24:33,840 Speaker 3: for a better and better deal because they kind of 481 00:24:33,880 --> 00:24:34,239 Speaker 3: need to. 482 00:24:36,240 --> 00:24:38,359 Speaker 4: Well, it's a great question, and it's two sides of 483 00:24:38,400 --> 00:24:41,120 Speaker 4: the same coin. You know, I think the consumers are 484 00:24:41,240 --> 00:24:43,959 Speaker 4: if you look at this data. They're very clearly saying, 485 00:24:44,480 --> 00:24:47,800 Speaker 4: I have the money, and I will buy from retailers 486 00:24:47,840 --> 00:24:50,880 Speaker 4: and brands who are willing to deliver me value. And 487 00:24:51,080 --> 00:24:54,240 Speaker 4: I think the categories and brands who are doing well 488 00:24:54,280 --> 00:24:56,400 Speaker 4: like the data we just reviewed, are the ones who 489 00:24:56,400 --> 00:25:00,160 Speaker 4: are listening to that message and are reacting by offering 490 00:25:00,440 --> 00:25:04,719 Speaker 4: higher cash back rates because it really is within their power, 491 00:25:05,040 --> 00:25:08,200 Speaker 4: the brand and the retailer's power to use racketon to 492 00:25:08,320 --> 00:25:10,520 Speaker 4: offer more cash back to their shoppers. 493 00:25:11,320 --> 00:25:14,280 Speaker 2: What typically happens if you go back? I mean, I 494 00:25:14,280 --> 00:25:16,960 Speaker 2: know the data. The data changes year to year because 495 00:25:17,000 --> 00:25:21,280 Speaker 2: more people presumably use the product. But what typically precedes 496 00:25:22,160 --> 00:25:24,800 Speaker 2: a slowdown in consumer spending? Like, what are the signals 497 00:25:24,840 --> 00:25:26,919 Speaker 2: that you could be looking for right now in the 498 00:25:27,000 --> 00:25:29,159 Speaker 2: data that you have that would say, okay, well, the 499 00:25:29,200 --> 00:25:30,800 Speaker 2: economy is indeed slowing down. 500 00:25:33,200 --> 00:25:36,040 Speaker 4: I think that in a time like this, right, the 501 00:25:36,080 --> 00:25:38,439 Speaker 4: power of something like cash back is that it is 502 00:25:38,480 --> 00:25:43,440 Speaker 4: a lever for good times and challenging times economically. Right, So, 503 00:25:43,800 --> 00:25:47,240 Speaker 4: even in good economic times, cash back is a great 504 00:25:47,359 --> 00:25:51,800 Speaker 4: lever to ensure that brands can continue to keep their. 505 00:25:51,640 --> 00:25:54,639 Speaker 5: Loyal shoppers loyal. That's what we do as a brand. 506 00:25:54,760 --> 00:25:58,640 Speaker 4: So there are use cases in any moment from an 507 00:25:58,640 --> 00:26:02,240 Speaker 4: economic standpoint. But I would say, which is something that 508 00:26:02,240 --> 00:26:04,680 Speaker 4: we're not seeing today, is that if you are in 509 00:26:04,760 --> 00:26:08,399 Speaker 4: a challenged economic moment where inflation continues, and you have 510 00:26:08,440 --> 00:26:12,000 Speaker 4: a brand like Racketon who has an offering that allows 511 00:26:12,160 --> 00:26:15,400 Speaker 4: retailers to provide the value to the shoppers that they're 512 00:26:15,400 --> 00:26:18,480 Speaker 4: looking for and that isn't working, that would probably be 513 00:26:18,560 --> 00:26:21,000 Speaker 4: a sign that consumers really are pulling back. 514 00:26:21,080 --> 00:26:24,000 Speaker 5: But we see the exact opposite that versus last year. 515 00:26:24,440 --> 00:26:27,640 Speaker 4: Brands are investing and shoppers are responding and outspending. 516 00:26:27,840 --> 00:26:30,280 Speaker 3: So that's interesting. So if I asked you, then Okay, 517 00:26:30,320 --> 00:26:32,360 Speaker 3: you're looking at the data points that you guys see 518 00:26:32,520 --> 00:26:35,359 Speaker 3: every day, right, you can easily kind of tap into that. 519 00:26:35,400 --> 00:26:38,040 Speaker 3: What's going on your outlook? Then, though, if we can 520 00:26:38,119 --> 00:26:43,320 Speaker 3: kind of pull it out on discretionary spending, especially as 521 00:26:43,359 --> 00:26:46,960 Speaker 3: we do see it feels like increasingly shoppers trading for value. 522 00:26:47,000 --> 00:26:49,880 Speaker 3: And I'm going to say, just walking around in my world, 523 00:26:50,359 --> 00:26:53,520 Speaker 3: I'm seeing like deals and promotions that I feel like 524 00:26:53,560 --> 00:26:56,119 Speaker 3: I wasn't seeing before. So what's your outlook on the 525 00:26:56,160 --> 00:26:57,959 Speaker 3: discretion discretionary spend? 526 00:26:59,640 --> 00:27:01,000 Speaker 5: I think it's clearly there. 527 00:27:01,280 --> 00:27:03,760 Speaker 4: You know, you see in a lot of these these 528 00:27:03,840 --> 00:27:09,320 Speaker 4: categories high spend arenas, whether it's appliances, travel, so the 529 00:27:09,359 --> 00:27:11,320 Speaker 4: AOV is high, the spend. 530 00:27:11,040 --> 00:27:13,760 Speaker 5: Is there if the right value is being delivered. 531 00:27:13,840 --> 00:27:16,880 Speaker 4: But you know, I think you you ask an interesting 532 00:27:16,960 --> 00:27:21,520 Speaker 4: question that makes me think about a category that isn't 533 00:27:21,600 --> 00:27:26,200 Speaker 4: performing terribly well right now across the retail landscape, which 534 00:27:26,240 --> 00:27:27,000 Speaker 4: is luxury. 535 00:27:27,800 --> 00:27:30,720 Speaker 5: We saw last week Matches Fashion shutting. 536 00:27:30,359 --> 00:27:34,320 Speaker 4: Down and it's a real nod to the rising acquisition 537 00:27:34,480 --> 00:27:38,440 Speaker 4: costs and finding new consumers to shop that has been 538 00:27:38,480 --> 00:27:41,879 Speaker 4: going on for years now, Facebook, Google, Those acquisition costs 539 00:27:41,880 --> 00:27:45,640 Speaker 4: have been getting so expensive. And then you see these 540 00:27:45,680 --> 00:27:49,800 Speaker 4: brands that we're you know, partnering with Matches and the 541 00:27:50,000 --> 00:27:52,760 Speaker 4: like cutting wholesales that they can invest more in their 542 00:27:52,800 --> 00:27:54,040 Speaker 4: direct to consumers site. 543 00:27:54,200 --> 00:27:56,360 Speaker 2: So we only have we only have thirty seconds left. 544 00:27:56,359 --> 00:27:59,120 Speaker 2: How are retailers thinking of customer acquisition costs? And then 545 00:27:59,200 --> 00:28:01,680 Speaker 2: and also does how does your company fit into that strategy? 546 00:28:01,760 --> 00:28:02,520 Speaker 2: Just thirty seconds? 547 00:28:03,920 --> 00:28:06,600 Speaker 4: Yeah, I mean everybody needs to be thinking about who's 548 00:28:06,640 --> 00:28:10,439 Speaker 4: next on their pathway and younger shoppers are looking for 549 00:28:10,520 --> 00:28:14,280 Speaker 4: the same value, and it doesn't devalue a brand to 550 00:28:14,400 --> 00:28:17,480 Speaker 4: offer something like cash back which is looked at as 551 00:28:17,560 --> 00:28:20,440 Speaker 4: a savvy shoppers weapon to be able to buy what 552 00:28:20,480 --> 00:28:20,920 Speaker 4: they're looking for. 553 00:28:21,000 --> 00:28:23,920 Speaker 3: So, retailers, the folks that you deal with and who 554 00:28:23,960 --> 00:28:26,840 Speaker 3: want to partner with you, is that widening out? 555 00:28:27,960 --> 00:28:30,360 Speaker 4: I would say absolutely, and you'll see that on our 556 00:28:30,400 --> 00:28:33,640 Speaker 4: site in the coming months. And I'm sure others as 557 00:28:34,040 --> 00:28:37,080 Speaker 4: arenas like Luxury are really looking for the next generation 558 00:28:37,160 --> 00:28:37,920 Speaker 4: of loyalists. 559 00:28:38,200 --> 00:28:40,000 Speaker 3: All right, We're going to leave it in that note. Hey, Julie, 560 00:28:40,000 --> 00:28:41,600 Speaker 3: thank you so much. Great to check in with you 561 00:28:41,680 --> 00:28:44,680 Speaker 3: once again. Julie Vannel and she's the chief revenue officer 562 00:28:44,720 --> 00:28:48,600 Speaker 3: over at Rakaton. Joining us of course on Zoom from 563 00:28:48,680 --> 00:28:49,520 Speaker 3: New York City