1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,560 Speaker 1: with essential market moving news. Find the Bloomberg Markets podcast 5 00:00:15,560 --> 00:00:18,479 Speaker 1: called Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,599 Speaker 1: at Bloomberg dot com slash podcast. Talking about the v 7 00:00:22,880 --> 00:00:27,600 Speaker 1: w I D four, pretty cool looking vehicle, I have 8 00:00:27,760 --> 00:00:30,840 Speaker 1: to say, um, and I'll be psyched to get into 9 00:00:30,880 --> 00:00:33,040 Speaker 1: that tear down for sure, but I want to focus 10 00:00:33,040 --> 00:00:36,040 Speaker 1: now not on cars. Um, but I was gonna say 11 00:00:36,040 --> 00:00:38,160 Speaker 1: on hair, but really I want to focus on growth 12 00:00:38,640 --> 00:00:41,599 Speaker 1: in business because we're gonna bring in Amy Errett right now. 13 00:00:41,640 --> 00:00:44,440 Speaker 1: She is the founder and CEO of Madison Read out 14 00:00:44,440 --> 00:00:49,200 Speaker 1: of San Francisco, and she has started a killer at 15 00:00:49,240 --> 00:00:54,560 Speaker 1: hair home color business. Um. Now, I don't have any hair, Amy, 16 00:00:54,680 --> 00:00:58,400 Speaker 1: and Paul's hair is a beautiful shade of wisdom white 17 00:00:59,040 --> 00:01:01,560 Speaker 1: that he would never want to us with. But it 18 00:01:01,760 --> 00:01:05,480 Speaker 1: is incredibly impressive the business you started and the and 19 00:01:05,560 --> 00:01:08,400 Speaker 1: the growth that you've seen. Talk us through what was 20 00:01:08,480 --> 00:01:13,120 Speaker 1: like for you. Yeah, so thanks very much for having me, 21 00:01:13,200 --> 00:01:16,000 Speaker 1: and uh, we're we're all good that you don't have 22 00:01:16,000 --> 00:01:20,120 Speaker 1: any hair that's okay. Um. So yeah, we uh, you 23 00:01:20,120 --> 00:01:23,199 Speaker 1: know the businesses about six and a half years old, 24 00:01:23,280 --> 00:01:27,679 Speaker 1: we were growing really well, uh and then the pandemic 25 00:01:27,760 --> 00:01:31,720 Speaker 1: hit and that our business girl hundred seven percent last year. 26 00:01:32,319 --> 00:01:34,200 Speaker 1: So why is that just because people? A means that 27 00:01:34,280 --> 00:01:37,600 Speaker 1: just because people couldn't go to the salon um or 28 00:01:37,640 --> 00:01:39,920 Speaker 1: do you think they were coloring their hair even more 29 00:01:40,120 --> 00:01:43,000 Speaker 1: just because the time they had at home? I think 30 00:01:43,040 --> 00:01:45,040 Speaker 1: it's both. I think they couldn't go to the salon, 31 00:01:45,240 --> 00:01:48,200 Speaker 1: So we saw an influx of what we're at that 32 00:01:48,320 --> 00:01:51,720 Speaker 1: time salon goers who have now many of them have 33 00:01:51,760 --> 00:01:55,200 Speaker 1: been converted to our business and seeing that the results 34 00:01:55,760 --> 00:01:58,640 Speaker 1: uh and the cost savings are fantastic and we have 35 00:01:58,760 --> 00:02:02,520 Speaker 1: a great ingred the in story in eight pree ingredients story. 36 00:02:02,640 --> 00:02:05,280 Speaker 1: So what we think is a very high quality product. 37 00:02:05,680 --> 00:02:07,840 Speaker 1: And I think there are a number of people that 38 00:02:08,000 --> 00:02:12,119 Speaker 1: were looking on Zoom all day and realizing that they 39 00:02:12,160 --> 00:02:15,359 Speaker 1: wanted to color their hair because it is emotional and 40 00:02:15,480 --> 00:02:17,359 Speaker 1: it makes you feel good about yourself when your hair 41 00:02:17,400 --> 00:02:19,720 Speaker 1: looks great. So I think there was another people that 42 00:02:19,760 --> 00:02:23,959 Speaker 1: were coloring at home already, but increase their frequency yeah, 43 00:02:24,000 --> 00:02:25,400 Speaker 1: I mean that's kind of what I wanted to get at. 44 00:02:25,440 --> 00:02:27,280 Speaker 1: I'm not sure if you've done any survey work with 45 00:02:27,320 --> 00:02:30,920 Speaker 1: your customers, but you know, a lot of things in 46 00:02:31,040 --> 00:02:33,200 Speaker 1: terms of what we do day to day got disrupted 47 00:02:33,240 --> 00:02:36,000 Speaker 1: during the pandemic. But a lot of folks say, well, 48 00:02:36,000 --> 00:02:37,520 Speaker 1: I'm just gonna go back to kind of my old 49 00:02:37,520 --> 00:02:39,520 Speaker 1: ways once we get to the other side of this. 50 00:02:40,080 --> 00:02:42,760 Speaker 1: How's that. How do you think your customer base is 51 00:02:42,800 --> 00:02:45,640 Speaker 1: going to kind of evolve post pandemic in terms of 52 00:02:45,639 --> 00:02:50,680 Speaker 1: their behavior. Yeah, so we've been watching that very closely. 53 00:02:50,760 --> 00:02:53,160 Speaker 1: We've obviously been spending a lot of time on what 54 00:02:53,200 --> 00:02:57,280 Speaker 1: we call retention and loyalty and making sure that our 55 00:02:57,440 --> 00:03:00,839 Speaker 1: customers are very happy. We have not seen that drop off, 56 00:03:00,919 --> 00:03:05,640 Speaker 1: and in fact, we've seen continued growth every month. Um. 57 00:03:05,720 --> 00:03:08,840 Speaker 1: One other nuance of our business that may not be 58 00:03:08,960 --> 00:03:12,440 Speaker 1: clear is we have thirty one nationwide what we call 59 00:03:12,560 --> 00:03:17,440 Speaker 1: hair color bars, which are a faster, less expensive, uh 60 00:03:17,600 --> 00:03:20,760 Speaker 1: take on getting your hair colors in the salon um 61 00:03:20,880 --> 00:03:24,600 Speaker 1: and so we have we had those pre pandemic, only twelve. 62 00:03:24,680 --> 00:03:29,000 Speaker 1: We've opened over nineteen during the pandemic, which is the 63 00:03:29,080 --> 00:03:33,160 Speaker 1: whole separate story. But we also have seen a major 64 00:03:33,200 --> 00:03:36,640 Speaker 1: influx as some people are getting back NATed of actually 65 00:03:36,680 --> 00:03:39,560 Speaker 1: people coming into our hair color bars because they love 66 00:03:39,600 --> 00:03:42,840 Speaker 1: the product and they want us to apply it for uh, 67 00:03:43,000 --> 00:03:44,920 Speaker 1: it's it's the s l a of that is about 68 00:03:44,960 --> 00:03:48,720 Speaker 1: seventy five minutes, which is radically different than going to 69 00:03:48,800 --> 00:03:52,400 Speaker 1: a salon and lot less expensive and the authenticity and 70 00:03:52,440 --> 00:03:54,920 Speaker 1: transparency of the product. So sometimes you may want to 71 00:03:54,920 --> 00:03:56,880 Speaker 1: do it at home, sometimes you may want to come 72 00:03:56,920 --> 00:03:59,560 Speaker 1: into a hair color bar. So we really haven't seen 73 00:03:59,680 --> 00:04:02,640 Speaker 1: the part that's going away from our business at all. 74 00:04:03,080 --> 00:04:06,120 Speaker 1: I also think it's quite cool that you have developed 75 00:04:06,160 --> 00:04:10,560 Speaker 1: the Color Crew, which is a team of licensed colorists. 76 00:04:10,600 --> 00:04:15,000 Speaker 1: They help UM customers online. UM. When I was a 77 00:04:15,120 --> 00:04:18,720 Speaker 1: kid and I used to dye my hair purple or 78 00:04:19,160 --> 00:04:22,800 Speaker 1: blue or green with manex panic that I would go. 79 00:04:23,240 --> 00:04:25,800 Speaker 1: I was really into you know, um punk rock, and 80 00:04:25,839 --> 00:04:27,800 Speaker 1: I'd go to Ricky's in New York and it was 81 00:04:27,839 --> 00:04:30,800 Speaker 1: I don't know, ten box or even cheaper. But but 82 00:04:30,960 --> 00:04:35,080 Speaker 1: your hair product has been dubbed the broken bag of 83 00:04:35,160 --> 00:04:37,800 Speaker 1: home hair color. Why why is that? Is it just 84 00:04:37,839 --> 00:04:41,960 Speaker 1: a higher level of quality than say Loureal or Claire 85 00:04:41,960 --> 00:04:46,440 Speaker 1: All or whatever else is out there. So our product um, 86 00:04:47,080 --> 00:04:49,479 Speaker 1: I love that description. The broken bag of hair color 87 00:04:49,680 --> 00:04:53,640 Speaker 1: um our product is salon quality. And so historically there 88 00:04:53,680 --> 00:04:56,839 Speaker 1: has been a difference between the color that you buy 89 00:04:56,880 --> 00:04:59,840 Speaker 1: on the shelf of Ricky's or Walgreens or Dwayne Reed 90 00:05:00,200 --> 00:05:03,279 Speaker 1: and the color that is applied in a professional salon. 91 00:05:03,640 --> 00:05:07,840 Speaker 1: Those are very different quality um, whether it's color molecules, 92 00:05:08,320 --> 00:05:11,920 Speaker 1: efficacy of the product that our taste, ingredients that we 93 00:05:12,000 --> 00:05:14,800 Speaker 1: take out, and some good things we put in that 94 00:05:14,880 --> 00:05:18,360 Speaker 1: are reparative. And so there has never been before us 95 00:05:18,560 --> 00:05:22,800 Speaker 1: a salon quality professional grade. Maybe that's the best way 96 00:05:22,800 --> 00:05:26,000 Speaker 1: of saying it. Hair color product that is direct to 97 00:05:26,080 --> 00:05:29,320 Speaker 1: a consumer. And so what is what is part of 98 00:05:29,360 --> 00:05:33,680 Speaker 1: the disruption is giving the consumers the same product that 99 00:05:33,800 --> 00:05:36,479 Speaker 1: we apply in our hair color bars, which is the 100 00:05:36,560 --> 00:05:40,920 Speaker 1: efficacy of a professional product where in nothing again against 101 00:05:41,000 --> 00:05:45,200 Speaker 1: whatever you used that was set up for at home 102 00:05:45,320 --> 00:05:50,800 Speaker 1: use les. Yeah, okay, so I just you know, before 103 00:05:50,800 --> 00:05:52,320 Speaker 1: we wrap up and we only have thirty seconds to 104 00:05:52,360 --> 00:05:55,400 Speaker 1: anybody got to ask U, I, p O or spack 105 00:05:56,080 --> 00:06:00,359 Speaker 1: you what does your exit look like? Uh? Well, you 106 00:06:00,360 --> 00:06:02,320 Speaker 1: know you'll have to stay tuned and have me back 107 00:06:02,400 --> 00:06:05,560 Speaker 1: to know the answers of that. But uh, let me 108 00:06:05,600 --> 00:06:08,479 Speaker 1: put it this way. I the spack market is that 109 00:06:08,560 --> 00:06:12,120 Speaker 1: if I get another inbound I'm spending most of my 110 00:06:12,240 --> 00:06:16,240 Speaker 1: time spending inbound UM. But um, you know, I don't know. 111 00:06:16,360 --> 00:06:19,799 Speaker 1: We're we're well poised to be, you know, a public company. 112 00:06:19,880 --> 00:06:23,040 Speaker 1: We'll see which way that direction goes. And we're excited 113 00:06:23,080 --> 00:06:26,240 Speaker 1: about the opportunity. Hey, Amy, thank you so much for 114 00:06:26,320 --> 00:06:29,880 Speaker 1: joining us. A fascinating story which you continued. Good luck, Amy, Eretic, 115 00:06:29,920 --> 00:06:32,800 Speaker 1: founder and CEO of Madison Read. They just completed a 116 00:06:32,800 --> 00:06:35,440 Speaker 1: fifty two million dollars Series F funding round and have 117 00:06:35,640 --> 00:06:38,359 Speaker 1: raised close to two d million dollars since launch. In 118 00:06:38,400 --> 00:06:42,040 Speaker 1: the private market is suggested maybe the next move will 119 00:06:42,080 --> 00:06:47,000 Speaker 1: be a spack or an I p O. Senator Elizabeth Warren, 120 00:06:47,240 --> 00:06:52,159 Speaker 1: Democrat from Massachusetts, says her ultra millionaire tax um would 121 00:06:52,240 --> 00:06:55,400 Speaker 1: raise three trillion dollars over the next ten years and 122 00:06:55,480 --> 00:06:59,960 Speaker 1: help fund infrastructure, childcare, and education. She spoke with Bloomber 123 00:07:00,240 --> 00:07:04,240 Speaker 1: Kevin Cirelli on Capitol Hill. More and more people are 124 00:07:04,279 --> 00:07:06,400 Speaker 1: starting to look at the wealth tax and say, wait 125 00:07:06,400 --> 00:07:09,240 Speaker 1: a minute, this makes a lot of sense. You know, 126 00:07:09,760 --> 00:07:15,360 Speaker 1: people across this nation getting independence, Republicans, Democrats, a majority 127 00:07:15,480 --> 00:07:17,040 Speaker 1: of all of them want to see us to a 128 00:07:17,040 --> 00:07:19,920 Speaker 1: wealth tax because they know that the system is rigged 129 00:07:19,920 --> 00:07:24,440 Speaker 1: against them. With that in mind and a little bit 130 00:07:24,440 --> 00:07:28,400 Speaker 1: of disclosure, I keep hundreds of dollars in my checking 131 00:07:28,440 --> 00:07:31,720 Speaker 1: account Huntington's Private Bank. Dan Graffith joins us right now, 132 00:07:31,720 --> 00:07:37,640 Speaker 1: director of Wealth Strategy out of the great state of Ohio. Dan, Um, 133 00:07:37,760 --> 00:07:39,600 Speaker 1: what do you think about the idea of wealth tex 134 00:07:39,640 --> 00:07:41,760 Speaker 1: I mean, it wouldn't hit me too hard, so I'm 135 00:07:41,760 --> 00:07:45,200 Speaker 1: not terribly bothered. But um, I guess a lot of 136 00:07:45,200 --> 00:07:48,480 Speaker 1: your other clients would lose some cash. Well, good morning, 137 00:07:48,480 --> 00:07:50,720 Speaker 1: Thank you for having me. I agree with you. It 138 00:07:50,760 --> 00:07:53,560 Speaker 1: sounds like our balances are somewhat similar. Glad to have 139 00:07:53,680 --> 00:07:56,120 Speaker 1: you as a client, for sure. But I think that's 140 00:07:56,120 --> 00:07:58,360 Speaker 1: the biggest concern that a number of our clients have 141 00:07:58,480 --> 00:08:01,600 Speaker 1: raised initially is although it may appear that this will 142 00:08:01,640 --> 00:08:05,040 Speaker 1: affect not that many folks, the concern that our clients 143 00:08:05,040 --> 00:08:07,600 Speaker 1: are raising is what is that valuation? Num? We're gonna 144 00:08:07,640 --> 00:08:10,280 Speaker 1: look like, you know, what, what is my business really worth? 145 00:08:10,720 --> 00:08:14,080 Speaker 1: We know that here in there's gonna be huge numbers 146 00:08:14,120 --> 00:08:17,800 Speaker 1: or mergers and acquisition activities, and as a consequence of that, 147 00:08:17,840 --> 00:08:20,120 Speaker 1: what are the valuations for business is going to look like. 148 00:08:20,200 --> 00:08:23,400 Speaker 1: So we know that we can probably tell what balance 149 00:08:23,440 --> 00:08:26,120 Speaker 1: sheets look like when it's stocks and bonds, but when 150 00:08:26,120 --> 00:08:28,840 Speaker 1: they're illiquid assets, this could be a real problem for 151 00:08:28,880 --> 00:08:31,600 Speaker 1: a lot of clients that exists out there. And Dan, 152 00:08:31,680 --> 00:08:33,680 Speaker 1: are are some of your clients. Are they concerned that 153 00:08:33,720 --> 00:08:36,000 Speaker 1: maybe this is just the you know, the first step 154 00:08:36,760 --> 00:08:41,520 Speaker 1: towards just a higher tax regime overall, which is in 155 00:08:41,640 --> 00:08:45,040 Speaker 1: effect at some point will come down and impact many 156 00:08:45,160 --> 00:08:48,840 Speaker 1: more US citizens. A lot of clients are obviously concerned 157 00:08:48,840 --> 00:08:52,319 Speaker 1: about many elements of tax pieces. I had somebody just 158 00:08:52,360 --> 00:08:55,000 Speaker 1: this week who mentioned that the original a m T 159 00:08:55,280 --> 00:08:57,360 Speaker 1: was put in place to only affect about a hundred 160 00:08:57,360 --> 00:09:00,000 Speaker 1: and fifty people, and obviously now that's grown to affect 161 00:09:00,080 --> 00:09:02,360 Speaker 1: to a a lot more folks. A lot of our clients 162 00:09:02,400 --> 00:09:05,760 Speaker 1: are concerned about the same things that Senator Warren articulated, 163 00:09:06,080 --> 00:09:08,719 Speaker 1: income inequality, UM. But I think a lot of them 164 00:09:08,720 --> 00:09:10,960 Speaker 1: are just concerned about making sure that we can address 165 00:09:11,000 --> 00:09:14,320 Speaker 1: this in a way that's most effective for making community 166 00:09:14,360 --> 00:09:17,120 Speaker 1: stronger and keeping businesses strong as well. When I think 167 00:09:17,160 --> 00:09:19,480 Speaker 1: about when I hear about audits, I kind of get 168 00:09:19,520 --> 00:09:22,600 Speaker 1: the heb gbs I mean literally sends shivers up my 169 00:09:22,679 --> 00:09:26,040 Speaker 1: spine to think about that, um and I guess you 170 00:09:26,040 --> 00:09:28,920 Speaker 1: would have to oversee a lot of them for your clients. 171 00:09:29,280 --> 00:09:31,880 Speaker 1: How much would it cost to make sure the wealth 172 00:09:31,920 --> 00:09:36,400 Speaker 1: tax is properly enforced? You know, that's a great question 173 00:09:36,400 --> 00:09:38,560 Speaker 1: and one of the other big concerns that our clients 174 00:09:38,559 --> 00:09:42,120 Speaker 1: have raised the cost of enforcement and more the more 175 00:09:42,240 --> 00:09:44,480 Speaker 1: I would say, the cost of compliance is going to 176 00:09:44,559 --> 00:09:46,760 Speaker 1: be a big one. We mentioned the fact that a 177 00:09:46,760 --> 00:09:48,960 Speaker 1: lot of illiquid assets are gonna need to be uh 178 00:09:49,160 --> 00:09:52,439 Speaker 1: put through valuation processes, and obviously, if you're going to 179 00:09:52,520 --> 00:09:54,920 Speaker 1: be doing that every year, then you've got the I 180 00:09:55,000 --> 00:09:56,600 Speaker 1: r S that's gonna come back and say, well, we 181 00:09:56,679 --> 00:09:59,080 Speaker 1: think these assets are worth this, you know, the family 182 00:09:59,080 --> 00:10:02,040 Speaker 1: farmers worth this bunch, and the taxpayer is gonna say 183 00:10:02,040 --> 00:10:04,800 Speaker 1: maybe they have a different position on valuation and they're 184 00:10:04,800 --> 00:10:06,960 Speaker 1: going to have to potentially do that every single year. 185 00:10:07,240 --> 00:10:09,760 Speaker 1: So a clients are expressing a lot of concern about this. 186 00:10:09,760 --> 00:10:12,760 Speaker 1: This This will definitely potentially add to the number of 187 00:10:12,760 --> 00:10:14,280 Speaker 1: people who work for the I r S. But it's 188 00:10:14,280 --> 00:10:17,720 Speaker 1: gonna be a big, a big employment number for people 189 00:10:17,720 --> 00:10:20,439 Speaker 1: who are in tax and valuation enforcement. To a lot 190 00:10:20,480 --> 00:10:22,840 Speaker 1: of lawyers and accountants will be put into work if 191 00:10:22,880 --> 00:10:25,880 Speaker 1: this proposal is adopted. Hey, Dan, you know, on a 192 00:10:26,000 --> 00:10:29,160 Speaker 1: just kind of a stepping back more broadly, what are 193 00:10:29,200 --> 00:10:31,959 Speaker 1: you telling your clients these days? We've got equity markets 194 00:10:32,559 --> 00:10:34,360 Speaker 1: at or near all time highs. It seems like on 195 00:10:34,440 --> 00:10:37,040 Speaker 1: a daily basis, we have interest rates edging up here. 196 00:10:37,400 --> 00:10:39,640 Speaker 1: It's kind of been some of the more recent discussions 197 00:10:39,640 --> 00:10:44,200 Speaker 1: you've had with your clients um at Hunting Private Bank. Overall, 198 00:10:44,240 --> 00:10:46,679 Speaker 1: I think our chief investment office is really still very 199 00:10:46,720 --> 00:10:50,360 Speaker 1: optimistic about the markets overall. You know, earnings reports continue 200 00:10:50,400 --> 00:10:51,920 Speaker 1: to be very positive, and there are a lot of 201 00:10:51,920 --> 00:10:54,880 Speaker 1: indications that things are still going to look up and 202 00:10:54,880 --> 00:10:57,720 Speaker 1: there's more opportunity there. The benefit of what we do 203 00:10:57,800 --> 00:10:59,720 Speaker 1: in the Wealth Strategy Group is we get to work 204 00:10:59,720 --> 00:11:02,640 Speaker 1: with business owners directly. So part of the fun and 205 00:11:02,720 --> 00:11:04,800 Speaker 1: excitement of that job is that we get to talk 206 00:11:04,840 --> 00:11:07,880 Speaker 1: to the business owners and see what they're thinking. And 207 00:11:07,920 --> 00:11:09,880 Speaker 1: I have to tell you that the conversations that I 208 00:11:09,920 --> 00:11:13,240 Speaker 1: have with our clients are equally optimistic at a kind 209 00:11:13,240 --> 00:11:15,240 Speaker 1: of micro level as well. So I think in a 210 00:11:15,240 --> 00:11:17,120 Speaker 1: lot of ways, we think there's a lot of reason 211 00:11:17,160 --> 00:11:22,439 Speaker 1: to be optimistic about the future. I guess your your clients, though, 212 00:11:22,480 --> 00:11:25,040 Speaker 1: if if this thing starts to gain steam, they're gonna 213 00:11:25,040 --> 00:11:27,240 Speaker 1: look to take as much income as they can now 214 00:11:27,480 --> 00:11:30,360 Speaker 1: to get out ahead of it. I think liquidity is 215 00:11:30,360 --> 00:11:33,240 Speaker 1: probably the biggest concern that's exactly right when when it 216 00:11:33,240 --> 00:11:35,640 Speaker 1: comes to clients relative to not just this wealth tax, 217 00:11:35,720 --> 00:11:40,320 Speaker 1: but any volatility in the tax policy that happens, you know, 218 00:11:40,440 --> 00:11:43,600 Speaker 1: anything that happens with with a business when it comes 219 00:11:43,600 --> 00:11:46,199 Speaker 1: to liquidity is an important piece. If you've got fifty 220 00:11:46,240 --> 00:11:48,559 Speaker 1: million dollars and you're paying an annual wealth tax of 221 00:11:48,640 --> 00:11:51,200 Speaker 1: two percent, that's a million dollars that you've got on 222 00:11:51,240 --> 00:11:53,720 Speaker 1: the on the sidelines. That our clients would be concerned 223 00:11:54,120 --> 00:11:55,880 Speaker 1: is a million dollars that they're not able to use 224 00:11:55,920 --> 00:11:59,680 Speaker 1: to pay employees or invest in research and development, or 225 00:11:59,720 --> 00:12:02,440 Speaker 1: even their business growth or community activities that many of 226 00:12:02,440 --> 00:12:05,120 Speaker 1: our our clients are very much committed to. And so 227 00:12:05,200 --> 00:12:07,960 Speaker 1: I think liquidity is a big concern um not just 228 00:12:08,000 --> 00:12:10,319 Speaker 1: for this but for a lot of our clients as 229 00:12:10,360 --> 00:12:13,920 Speaker 1: we move towards what could be some changes in tax policy. Hey, Dan, 230 00:12:13,960 --> 00:12:17,079 Speaker 1: thanks so much for joining us. We appreciate your thoughts there. 231 00:12:17,160 --> 00:12:20,800 Speaker 1: Dan Griffith, Senior Vice president and Director of Wealth Strategy 232 00:12:20,800 --> 00:12:26,640 Speaker 1: at Huntington's private bank based in North Canton, Ohio. Just yeah, 233 00:12:26,760 --> 00:12:29,680 Speaker 1: just below Uh you know, it's a it's entering in 234 00:12:29,800 --> 00:12:32,000 Speaker 1: the Ohio State University, which I'm not sure why we 235 00:12:32,040 --> 00:12:34,880 Speaker 1: have to accent the North Canton's pretty far away from 236 00:12:34,880 --> 00:12:37,000 Speaker 1: the Ohio State University, but I bet you Dan, as 237 00:12:37,000 --> 00:12:40,280 Speaker 1: a Buckeyes fan anyway, it's are not to be there, 238 00:12:40,320 --> 00:12:42,520 Speaker 1: pretty solid there. So it's always good to hear uh 239 00:12:42,600 --> 00:12:44,680 Speaker 1: Dan's thoughts here about this, you know, wealth tax that 240 00:12:44,840 --> 00:12:46,960 Speaker 1: is winding its way through Congress. Will see if there's 241 00:12:46,960 --> 00:12:53,199 Speaker 1: any bipartisan support for this at all. I think most 242 00:12:53,200 --> 00:12:57,080 Speaker 1: people know that my dog and best friend, Stephen is 243 00:12:57,080 --> 00:13:00,600 Speaker 1: a Rottweiler. He is not a German shepherd. Greg Jared, 244 00:13:00,640 --> 00:13:03,000 Speaker 1: thank you very much for that business flash. Now, I 245 00:13:03,040 --> 00:13:06,080 Speaker 1: want to talk a little bit about Muni's with our 246 00:13:06,600 --> 00:13:10,880 Speaker 1: Amanda Albright Er Bloomberg Muni Bond reporter. Um. One of 247 00:13:10,920 --> 00:13:13,480 Speaker 1: the reasons Amanda, that we bring you in is because 248 00:13:14,240 --> 00:13:19,720 Speaker 1: it looks like the state rescue funds from Joe Biden's 249 00:13:19,880 --> 00:13:23,040 Speaker 1: proposal kind of dwarf the tax hit and then turn 250 00:13:23,120 --> 00:13:28,920 Speaker 1: into more of a stimulus than the drag. Yeah. Absolutely, Um, 251 00:13:28,600 --> 00:13:32,200 Speaker 1: it's been UM super interesting just the way that UM 252 00:13:32,480 --> 00:13:35,720 Speaker 1: kind of are thinking around UM, state and local aid 253 00:13:35,920 --> 00:13:39,320 Speaker 1: M throughout the pandemic has changed over time. UM. But 254 00:13:39,400 --> 00:13:43,480 Speaker 1: so my colleagues and I we tallied the expected tax 255 00:13:43,520 --> 00:13:47,200 Speaker 1: revenue hit for fiscal UM and we found that it's 256 00:13:47,240 --> 00:13:49,920 Speaker 1: about thirty one billion UM, which is still a very 257 00:13:49,960 --> 00:13:53,400 Speaker 1: material number, but UM, it's obviously less than the UM 258 00:13:53,520 --> 00:13:56,160 Speaker 1: nearly two hundred billion that states would receive under the 259 00:13:56,200 --> 00:13:59,920 Speaker 1: Biden UM proposals. So does that put that two billion 260 00:14:00,000 --> 00:14:03,200 Speaker 1: at risk? If I'm a congressman concerned about you know, 261 00:14:03,240 --> 00:14:05,480 Speaker 1: the soaring dead here, I might say, Hey, the states 262 00:14:05,559 --> 00:14:08,199 Speaker 1: actually did better than we initially thought. They don't need 263 00:14:08,200 --> 00:14:11,960 Speaker 1: to a rebillion. Yes, And I think that's exactly where 264 00:14:11,960 --> 00:14:15,760 Speaker 1: the conversation is heading UM in Congress. It's absolutely it's 265 00:14:15,880 --> 00:14:19,560 Speaker 1: it's very nuanced UM and states. There's there's a lot 266 00:14:19,600 --> 00:14:22,440 Speaker 1: more than just revenues UM that states they're dealing with. 267 00:14:22,440 --> 00:14:25,880 Speaker 1: They're dealing with pandemic related costs, they're dealing with UM 268 00:14:25,920 --> 00:14:29,400 Speaker 1: trying to meet unemployment claims. So the picture for state 269 00:14:29,480 --> 00:14:34,120 Speaker 1: finance is very complicated. But we have seen UM forecasters 270 00:14:34,120 --> 00:14:37,160 Speaker 1: who kind of look at the situation for states holistically. 271 00:14:37,160 --> 00:14:40,320 Speaker 1: We've even seen forecasters who look beyond just revenues and 272 00:14:40,320 --> 00:14:43,360 Speaker 1: also look at costs. They've also UM come down in 273 00:14:43,400 --> 00:14:46,480 Speaker 1: their forecasts of how much of the fiscal impact COVID 274 00:14:46,560 --> 00:14:49,360 Speaker 1: is going to be on states and so UM it 275 00:14:49,480 --> 00:14:53,200 Speaker 1: definitely all all signs points that that two billion dollars 276 00:14:53,360 --> 00:14:58,120 Speaker 1: is UM. It is generous UM, but it won't be 277 00:14:58,600 --> 00:15:02,400 Speaker 1: necessarily UM. Space will still find ways to use that money, 278 00:15:02,440 --> 00:15:04,200 Speaker 1: and we point out in the story that that could 279 00:15:04,240 --> 00:15:07,560 Speaker 1: go to kind of economic stimulus projects which would kind 280 00:15:07,560 --> 00:15:10,800 Speaker 1: of give UM President Biden a headstart on his kind 281 00:15:10,840 --> 00:15:14,280 Speaker 1: of ultimate goal of proviving the economy. When you get 282 00:15:14,320 --> 00:15:17,960 Speaker 1: back to your markets dashboard, is this all priced into 283 00:15:18,000 --> 00:15:22,080 Speaker 1: the MUNI market? So the way the union market is 284 00:15:22,160 --> 00:15:25,240 Speaker 1: pricing things is very interesting. There's been a sell off 285 00:15:25,320 --> 00:15:28,880 Speaker 1: lately because of treasuries UM, but I would say that 286 00:15:29,040 --> 00:15:32,480 Speaker 1: a lot of investors have been factoring in stimulus aid 287 00:15:32,560 --> 00:15:37,080 Speaker 1: to credits like Illinois and New York m p A UM. 288 00:15:37,120 --> 00:15:40,760 Speaker 1: So at this point UM if state state and locals, 289 00:15:40,800 --> 00:15:43,080 Speaker 1: if that money was taken away from them, I don't 290 00:15:43,160 --> 00:15:45,560 Speaker 1: know what the reaction would be. Because I also think 291 00:15:46,120 --> 00:15:49,080 Speaker 1: UM the way that the pandemic UM has played out 292 00:15:49,120 --> 00:15:52,760 Speaker 1: for municipal finance. It really kind of underscores how resilient 293 00:15:52,840 --> 00:15:56,320 Speaker 1: some of these issues are. UM. So I'm still very 294 00:15:56,360 --> 00:15:58,680 Speaker 1: curious to see if this will actually have any bond 295 00:15:58,720 --> 00:16:01,200 Speaker 1: market impact if that ad taken away. But that's obviously 296 00:16:01,200 --> 00:16:05,360 Speaker 1: not what I'm um necessarily expecting. But I do think, um, 297 00:16:05,400 --> 00:16:08,440 Speaker 1: the clearly the amount of the three fifty billion dollar 298 00:16:08,520 --> 00:16:11,720 Speaker 1: top line number clearly left being talked about, and um, 299 00:16:11,760 --> 00:16:16,240 Speaker 1: you know, could be altered in the Senate. So let's 300 00:16:16,560 --> 00:16:21,600 Speaker 1: under a scenario where the two billion dollars doesn't get through, Amanda. 301 00:16:22,240 --> 00:16:25,000 Speaker 1: You know some of the states. Is the expectation that 302 00:16:25,040 --> 00:16:28,280 Speaker 1: they will spend it on bridges and tunnels and roads 303 00:16:28,280 --> 00:16:31,800 Speaker 1: and that kind of thing. Yeah, that's kind of what 304 00:16:31,840 --> 00:16:35,040 Speaker 1: I'm most interested in watching going forward what that money 305 00:16:35,120 --> 00:16:37,520 Speaker 1: is used for. I'm sure that some of the states 306 00:16:37,520 --> 00:16:42,040 Speaker 1: will maybe try to do infrastructure projects, broadband projects if 307 00:16:42,280 --> 00:16:45,760 Speaker 1: depending on what the guidelines are from the federal government. UM. 308 00:16:45,880 --> 00:16:49,120 Speaker 1: But there's also in some kind of you know, economic 309 00:16:49,200 --> 00:16:53,240 Speaker 1: experts have raised you know, potential issues um in their 310 00:16:53,280 --> 00:16:55,160 Speaker 1: eyes if some states are saying, hey, we just got 311 00:16:55,200 --> 00:16:57,680 Speaker 1: all this money from the federal government, let's just cut 312 00:16:57,720 --> 00:17:01,520 Speaker 1: taxes or UM, you know, we'll is caused states see 313 00:17:01,520 --> 00:17:04,280 Speaker 1: this windfall of money. Are they going to behave responsibly 314 00:17:04,400 --> 00:17:07,119 Speaker 1: with that money? Um? We saw this play out a 315 00:17:07,160 --> 00:17:10,359 Speaker 1: little bit with the Carezack money that they got. UM. 316 00:17:10,440 --> 00:17:14,080 Speaker 1: We covered some of the political bickering that happened last 317 00:17:14,160 --> 00:17:17,000 Speaker 1: year with some of the care Zack funds because obviously 318 00:17:17,040 --> 00:17:21,280 Speaker 1: with fifty states, UM, fifty legislatures, governors like, there's a 319 00:17:21,280 --> 00:17:23,720 Speaker 1: lot of variants and how states will kind of speak 320 00:17:23,720 --> 00:17:26,120 Speaker 1: to use that money. And I think that's also caught 321 00:17:26,119 --> 00:17:29,040 Speaker 1: the attention of economists who are starting to maybe question 322 00:17:29,080 --> 00:17:33,040 Speaker 1: a little bit is this money going to be used responsibly? 323 00:17:33,320 --> 00:17:35,679 Speaker 1: And it's a it's a big question mark. And I 324 00:17:35,720 --> 00:17:38,239 Speaker 1: think that's kind of where the debate stands right now. 325 00:17:38,280 --> 00:17:43,119 Speaker 1: So it's very very interesting. I was kind of wondering, Um, 326 00:17:43,160 --> 00:17:46,879 Speaker 1: if you are either at Duke or U n C. 327 00:17:47,280 --> 00:17:49,280 Speaker 1: Do you hang out in Chapel Hill or do you 328 00:17:49,280 --> 00:17:51,560 Speaker 1: you don't gonna Durham? Right? Does everybody hang out in 329 00:17:51,640 --> 00:17:56,120 Speaker 1: Chapel Hill? So it's funny because when you're when you're 330 00:17:56,119 --> 00:17:58,720 Speaker 1: in underground, all the kids go to Chapel Hill to 331 00:17:58,760 --> 00:18:01,520 Speaker 1: hang out. But now that my friends and I are older. 332 00:18:01,560 --> 00:18:04,399 Speaker 1: We really like Durham, So all right, I'll give you. 333 00:18:04,600 --> 00:18:07,159 Speaker 1: I'll give it the real Amanda's Amanda's right. When I 334 00:18:07,240 --> 00:18:09,800 Speaker 1: was a student at Duke, Amanda's tar heel and Paul 335 00:18:09,960 --> 00:18:12,280 Speaker 1: is a Blue Devil. Yeah, you basically got through the 336 00:18:12,320 --> 00:18:14,520 Speaker 1: Duke social scene in about fifteen minutes and then you 337 00:18:14,520 --> 00:18:18,560 Speaker 1: went to to Carolina. But things have changed. Durham has 338 00:18:18,640 --> 00:18:22,560 Speaker 1: become a very hot, trendy, chic market. Think you know, 339 00:18:22,640 --> 00:18:25,800 Speaker 1: a smaller version of Austin, Texas if you will. Um 340 00:18:26,200 --> 00:18:30,320 Speaker 1: lots of new restaurants and bars and hotels and things 341 00:18:30,359 --> 00:18:34,000 Speaker 1: like that that I'm seeing a lot more Chapel Hill, 342 00:18:34,119 --> 00:18:37,280 Speaker 1: Power Fernal. You're walking around Drham on our Friday night 343 00:18:37,320 --> 00:18:40,240 Speaker 1: than we ever did before. So things are changing. So 344 00:18:40,280 --> 00:18:42,680 Speaker 1: it's a hot area of the country, which is good 345 00:18:42,720 --> 00:18:45,080 Speaker 1: for everybody down there. And what we're seeing these a 346 00:18:45,080 --> 00:18:46,920 Speaker 1: lot of folks leave in New York that that's one 347 00:18:46,920 --> 00:18:49,000 Speaker 1: of the markets people are going to. I have written 348 00:18:49,080 --> 00:18:52,680 Speaker 1: a Ducatti Monster asked for us through both towns, and 349 00:18:52,920 --> 00:18:55,760 Speaker 1: I thought it was pretty awesome. The reason I'm kind 350 00:18:55,760 --> 00:18:58,080 Speaker 1: of wondering about this is all my college friends Amanda 351 00:18:58,440 --> 00:19:00,119 Speaker 1: a couple of months ago and started asking me a 352 00:19:00,119 --> 00:19:03,000 Speaker 1: ton of questions again about stocks, and I joke about 353 00:19:03,040 --> 00:19:06,200 Speaker 1: the retail popularity of muni's. But is there any play 354 00:19:06,200 --> 00:19:09,399 Speaker 1: across from the Reddit crowd, from the robin Hood crowd 355 00:19:09,560 --> 00:19:17,760 Speaker 1: into your universe? Um, I would be um, who's always 356 00:19:17,960 --> 00:19:20,800 Speaker 1: looking for interesting things. I would be very excited about that. 357 00:19:20,800 --> 00:19:23,840 Speaker 1: But I haven't heard about that happening. But um, there's 358 00:19:23,920 --> 00:19:27,360 Speaker 1: lots of like interesting credits in munies that I think 359 00:19:27,480 --> 00:19:32,320 Speaker 1: would probably appeal to the millennial gen Zum investor base. 360 00:19:32,440 --> 00:19:35,760 Speaker 1: But munis are more expensive to buy in, so it um. 361 00:19:36,200 --> 00:19:38,320 Speaker 1: But I would be very curious if that happened. Um, 362 00:19:38,400 --> 00:19:41,119 Speaker 1: that would be very exciting as a reporter. So al right, 363 00:19:41,160 --> 00:19:43,080 Speaker 1: a manute, thanks so much for joining us. Unfortunately, I 364 00:19:43,080 --> 00:19:44,960 Speaker 1: don't think you unc or Duke is going to the 365 00:19:45,000 --> 00:19:46,600 Speaker 1: n c A tournament this year, so we're gonna have 366 00:19:46,600 --> 00:19:50,320 Speaker 1: some extra free time on our hand. Amanda Albright, Bloomberg 367 00:19:50,359 --> 00:19:54,359 Speaker 1: Municipal Bond Reporter. We appreciate that. And um, hey, the 368 00:19:54,440 --> 00:19:58,359 Speaker 1: muni market, it's been so hot, Matt, I mean funds 369 00:19:58,400 --> 00:20:01,080 Speaker 1: flowing into the muni market. Um. We hear from Joe 370 00:20:01,119 --> 00:20:04,160 Speaker 1: Meisa every Friday, and that's one of the issues where 371 00:20:04,200 --> 00:20:06,600 Speaker 1: we talk about and the funds going in there are great, 372 00:20:06,640 --> 00:20:09,440 Speaker 1: particularly in a taxable municipal market, which was a market 373 00:20:09,480 --> 00:20:12,320 Speaker 1: I never even knew existed up until you know, a 374 00:20:12,400 --> 00:20:15,960 Speaker 1: year or two ago. But Joe and Eric Kazatsky Bloomberg Intelligence, 375 00:20:16,080 --> 00:20:19,640 Speaker 1: who also covers municipals, they talk about that taxable municipal 376 00:20:19,640 --> 00:20:25,439 Speaker 1: bond market being super hot, lots of demand. When I 377 00:20:25,480 --> 00:20:27,439 Speaker 1: was a kid, you had to pay for stuff like 378 00:20:27,640 --> 00:20:33,560 Speaker 1: music and movies and magazines. But um, for a while there, 379 00:20:33,600 --> 00:20:37,119 Speaker 1: over the last couple of decades, that stuff all became free. 380 00:20:37,920 --> 00:20:39,960 Speaker 1: Alex Webb says, you're gonna have to get ready to 381 00:20:40,000 --> 00:20:43,080 Speaker 1: pay for it again because of Google and Facebook. The 382 00:20:43,080 --> 00:20:47,920 Speaker 1: Bloomberg Opinion columnists joins us. Now, so Alex, um, what 383 00:20:48,600 --> 00:20:51,760 Speaker 1: are we gonna have to start forking out cash now 384 00:20:51,840 --> 00:21:00,159 Speaker 1: to read news by journalists show particularly hopefully by like 385 00:21:00,400 --> 00:21:03,280 Speaker 1: you and me. Um. No, I think the key thing 386 00:21:03,440 --> 00:21:05,480 Speaker 1: is there are really three phases to this. In the 387 00:21:05,480 --> 00:21:10,159 Speaker 1: original sort of model, you know, pre Internet, the original 388 00:21:10,160 --> 00:21:13,520 Speaker 1: but certainly the model pre Internet, most of the content 389 00:21:13,560 --> 00:21:16,400 Speaker 1: that we consume was the very least subsidized by ads. 390 00:21:16,440 --> 00:21:18,280 Speaker 1: So actually, if you look at the New York Times 391 00:21:18,480 --> 00:21:21,160 Speaker 1: in circuit two, thousand and six, when it's as revenue 392 00:21:21,200 --> 00:21:24,840 Speaker 1: peaked um it would make five dollars a year from 393 00:21:24,840 --> 00:21:28,560 Speaker 1: a print subscriber paying for the physical copy of the newspaper, 394 00:21:28,920 --> 00:21:31,280 Speaker 1: but it would make another thousand dollars a year per 395 00:21:31,320 --> 00:21:35,720 Speaker 1: subscription from advertising. So ads subsidized all of our media consumptions. 396 00:21:35,720 --> 00:21:39,280 Speaker 1: The same applies to television, the radio, and tending more. Besides, 397 00:21:39,800 --> 00:21:42,280 Speaker 1: what's happened with the internet first wave of the Internet, 398 00:21:42,359 --> 00:21:45,080 Speaker 1: all that stuff went online for three with the hope 399 00:21:45,080 --> 00:21:46,920 Speaker 1: that they'll be able to sell ads on top of it. 400 00:21:47,160 --> 00:21:49,560 Speaker 1: Never really worked out that way, and all of the 401 00:21:49,560 --> 00:21:51,600 Speaker 1: ad revenue has now been sucked up. And I say 402 00:21:51,600 --> 00:21:53,960 Speaker 1: all of it, but literally three quarters of the three 403 00:21:54,040 --> 00:21:56,720 Speaker 1: hundred billion dollars that were spent on online ads last 404 00:21:56,800 --> 00:21:59,639 Speaker 1: year went to Google and Facebook. And that means that 405 00:22:00,040 --> 00:22:04,280 Speaker 1: the companies, the organizations that previously were the beneficiaries of 406 00:22:04,400 --> 00:22:06,800 Speaker 1: advertising income have got to find other ways to pay 407 00:22:06,800 --> 00:22:09,879 Speaker 1: for themselves, and frankfully, the most the easiest way of 408 00:22:09,920 --> 00:22:14,280 Speaker 1: doing that is with paywalls and alex Yes it relates 409 00:22:14,320 --> 00:22:18,000 Speaker 1: to the news business. The number of examples of successful 410 00:22:18,560 --> 00:22:21,719 Speaker 1: paywalls is few and far between. You know, the New 411 00:22:21,800 --> 00:22:25,720 Speaker 1: York Times okay, Law Street Journal, Okay, maybe the f 412 00:22:25,840 --> 00:22:28,760 Speaker 1: T as well, but there's not a whole lot. What 413 00:22:28,840 --> 00:22:30,800 Speaker 1: does that mean to the future of news? Do you 414 00:22:30,800 --> 00:22:35,000 Speaker 1: think in an online world? So I think some things 415 00:22:35,560 --> 00:22:37,840 Speaker 1: this isn't just about news. You know, we've seen it, 416 00:22:37,960 --> 00:22:39,760 Speaker 1: We're now seeing it everywhere. And the reason I wrote 417 00:22:39,800 --> 00:22:43,920 Speaker 1: this column now is because Swifter is introducing a paid tier. 418 00:22:44,640 --> 00:22:46,720 Speaker 1: And UM, I think one of the reasons that there 419 00:22:46,720 --> 00:22:50,399 Speaker 1: have been but not all paywalls have been successful is 420 00:22:50,440 --> 00:22:53,359 Speaker 1: because not everyone has a paywall. So in order for 421 00:22:53,480 --> 00:22:56,040 Speaker 1: the paywall models of work, you kind of need everyone 422 00:22:56,080 --> 00:22:58,920 Speaker 1: to be doing it. UM. If there is sort of 423 00:22:58,960 --> 00:23:01,760 Speaker 1: a chink in that armor where by um, you know, 424 00:23:01,880 --> 00:23:06,080 Speaker 1: substantial publications else where are free, UM, web users are 425 00:23:06,119 --> 00:23:08,040 Speaker 1: going to say, well, why should I pay for you know, 426 00:23:08,200 --> 00:23:11,679 Speaker 1: company X, when I'll get company ye gratis And UM, 427 00:23:11,720 --> 00:23:14,719 Speaker 1: I think now that we've reached this consensus that content 428 00:23:14,880 --> 00:23:17,280 Speaker 1: is something that should be paidful because it's no longer 429 00:23:17,359 --> 00:23:21,359 Speaker 1: able to be as supported. Mentalities are starting to change 430 00:23:21,440 --> 00:23:24,160 Speaker 1: and people getting more comfortable with the idea that actually 431 00:23:24,200 --> 00:23:26,800 Speaker 1: you have to pay for your video streaming, video on 432 00:23:26,840 --> 00:23:31,840 Speaker 1: demand streaming service, your music streaming, your news magazines, whatever, 433 00:23:31,880 --> 00:23:34,719 Speaker 1: it might historically have been. I gotta say, as somebody 434 00:23:34,720 --> 00:23:38,000 Speaker 1: who you know, I grew up probably shelling out one 435 00:23:38,119 --> 00:23:41,360 Speaker 1: or two or three hundred bucks a month for records 436 00:23:41,440 --> 00:23:44,280 Speaker 1: and tapes, um, and and then c d is obviously 437 00:23:44,359 --> 00:23:47,840 Speaker 1: later in life. But now I'm so stunned. Every time 438 00:23:47,880 --> 00:23:50,040 Speaker 1: I look at my Apple Music, I pay eleven dollars 439 00:23:50,040 --> 00:23:52,960 Speaker 1: a month for all of the records, tapes and c 440 00:23:53,160 --> 00:23:56,720 Speaker 1: d s, which is pretty awesome. On the other hand, 441 00:23:56,760 --> 00:24:00,199 Speaker 1: alex journalism has been hit hard by free news. Is 442 00:24:00,440 --> 00:24:05,239 Speaker 1: um you've witnessed I'm sure swathes of layoffs. The New 443 00:24:05,320 --> 00:24:08,120 Speaker 1: York Times is a shadow of its former self and 444 00:24:08,280 --> 00:24:10,840 Speaker 1: but growing again. Though Yeah, well maybe this is a 445 00:24:10,880 --> 00:24:12,920 Speaker 1: good thing. Maybe if people get used to the fact 446 00:24:12,960 --> 00:24:15,359 Speaker 1: that they got to pay for news or just be 447 00:24:15,560 --> 00:24:18,560 Speaker 1: sort of dumbed down by the facebooking of the world, 448 00:24:18,600 --> 00:24:22,919 Speaker 1: they'll choose the former. Are You certainly are seeing the 449 00:24:22,920 --> 00:24:25,480 Speaker 1: trend that there are some companies who have said, well, 450 00:24:25,480 --> 00:24:29,119 Speaker 1: actually we're going to introduce a paywall simply because um 451 00:24:29,280 --> 00:24:32,639 Speaker 1: don't necessarily need one. But there's a quality perception that 452 00:24:32,720 --> 00:24:37,720 Speaker 1: if I'm paying for publication X by implication publication, why 453 00:24:37,760 --> 00:24:40,480 Speaker 1: if it's free, it must be worse, and so there's 454 00:24:40,480 --> 00:24:43,040 Speaker 1: an element of pride amidst all this. I think the 455 00:24:43,040 --> 00:24:45,920 Speaker 1: New York Times, frankly now is reaching a level that 456 00:24:46,080 --> 00:24:49,159 Speaker 1: is comparable to where it was fifteen years ago. It 457 00:24:49,280 --> 00:24:52,240 Speaker 1: now has six million digital subscribers. It had it its 458 00:24:52,280 --> 00:24:55,399 Speaker 1: peak over selling a million copies of the print newspaper 459 00:24:55,480 --> 00:24:57,399 Speaker 1: a day. I think that might have had three or 460 00:24:57,400 --> 00:25:00,320 Speaker 1: four raiders the readers for each copy, so to slight 461 00:25:00,320 --> 00:25:03,240 Speaker 1: a different calculation. But I think that the key consideration 462 00:25:03,320 --> 00:25:07,439 Speaker 1: now is that this is extending beyond just your classic media. 463 00:25:07,680 --> 00:25:10,440 Speaker 1: As I said before, it's about the way that actually 464 00:25:11,119 --> 00:25:13,000 Speaker 1: it used to be that much of the web was 465 00:25:13,040 --> 00:25:16,120 Speaker 1: funded by advertising. If it wasn't literally an e commerce 466 00:25:16,160 --> 00:25:18,760 Speaker 1: website or something where you're paying for product to be 467 00:25:18,760 --> 00:25:21,480 Speaker 1: delivered to you. Um, stuff tended to be free because 468 00:25:21,480 --> 00:25:23,359 Speaker 1: it was funded by ads. As more and more of 469 00:25:23,400 --> 00:25:26,119 Speaker 1: those ads go to Google and Facebook, it means that 470 00:25:26,160 --> 00:25:29,760 Speaker 1: there's more than just media organizations that are having to charge, 471 00:25:29,880 --> 00:25:31,800 Speaker 1: and that is a big change, and I think one 472 00:25:31,840 --> 00:25:35,320 Speaker 1: that people are solely having to adapt to. You know, 473 00:25:35,520 --> 00:25:38,040 Speaker 1: a related story that just came out this morning courtesy 474 00:25:38,040 --> 00:25:41,560 Speaker 1: of dal Jones reporting that Google announcing that it will 475 00:25:41,600 --> 00:25:45,720 Speaker 1: stop selling ads based upon your specific web browsing and 476 00:25:46,080 --> 00:25:51,160 Speaker 1: story as well, I should say, pardon stay as well. Yeah, 477 00:25:51,280 --> 00:25:53,880 Speaker 1: good excellence. So I mean that that sounds big to me. 478 00:25:54,280 --> 00:25:56,600 Speaker 1: Um Alex, what do what do you make of that? 479 00:25:56,640 --> 00:25:58,600 Speaker 1: Because it seems like what one of the things that 480 00:25:58,640 --> 00:26:03,040 Speaker 1: these digital players pitch to advertisers is, hey, we know 481 00:26:03,400 --> 00:26:06,000 Speaker 1: where your audience is, we can track them. What do 482 00:26:06,040 --> 00:26:09,920 Speaker 1: what do you make of this news? So it's it's positive, 483 00:26:10,200 --> 00:26:12,200 Speaker 1: but there are heavy caveats here. The way that people 484 00:26:12,240 --> 00:26:14,800 Speaker 1: used to track, or that Google and any other ad 485 00:26:14,840 --> 00:26:17,960 Speaker 1: sex company used to target ads was to do with 486 00:26:18,040 --> 00:26:22,359 Speaker 1: third party cookies. This gobits of information that websites would 487 00:26:22,400 --> 00:26:24,720 Speaker 1: drop onto your computer so they could see what you've visited, 488 00:26:24,920 --> 00:26:28,359 Speaker 1: what your browsing activity was. Now, for companies like Google, 489 00:26:29,000 --> 00:26:33,119 Speaker 1: they actually sell most of their ads on their own website. 490 00:26:33,240 --> 00:26:36,320 Speaker 1: So if you try to search into Google for brown 491 00:26:36,359 --> 00:26:39,640 Speaker 1: t shirts, the results that it provides you, there will 492 00:26:39,680 --> 00:26:41,920 Speaker 1: be ads at the top of that. That's one piece. 493 00:26:41,920 --> 00:26:44,879 Speaker 1: Then there's also YouTube where it's you know, serves ads 494 00:26:44,920 --> 00:26:48,280 Speaker 1: based on what you're looking at on a Google owned website. 495 00:26:48,480 --> 00:26:51,560 Speaker 1: That is the majority of Google's advertising income. So when 496 00:26:51,600 --> 00:26:54,320 Speaker 1: it says it's not going to track you across other websites. Yes, 497 00:26:54,440 --> 00:26:56,879 Speaker 1: that might be true, but frankly, that isn't a terribly 498 00:26:56,960 --> 00:27:00,359 Speaker 1: lucrative business for Google. It makes money by essentially tracking 499 00:27:00,359 --> 00:27:02,520 Speaker 1: what you're doing on its own website, and that is 500 00:27:02,560 --> 00:27:04,679 Speaker 1: not going to stop. We're going to see the stopping 501 00:27:04,720 --> 00:27:08,119 Speaker 1: of tracking on third party website. Thank goodness, because as 502 00:27:08,160 --> 00:27:10,159 Speaker 1: a consumer, I love those targeted ads. You know, I 503 00:27:10,160 --> 00:27:13,600 Speaker 1: don't have to look all over the internet for my 504 00:27:13,680 --> 00:27:17,800 Speaker 1: next grateful dead trucker's cap because Google knows I want 505 00:27:17,840 --> 00:27:20,120 Speaker 1: it and it's already got like four ads displayed along 506 00:27:20,119 --> 00:27:23,480 Speaker 1: the side of my search results. Yeah, it's interesting that 507 00:27:23,760 --> 00:27:26,360 Speaker 1: you're actually in the minority there, Matt, because like it's 508 00:27:26,400 --> 00:27:29,000 Speaker 1: Google and Facebook, and thickly Facebook will say this, people 509 00:27:29,080 --> 00:27:31,840 Speaker 1: want to see targeted ads rather than see the not 510 00:27:31,920 --> 00:27:35,000 Speaker 1: targeted dads. But actually people didn't get angry when they're 511 00:27:35,000 --> 00:27:37,040 Speaker 1: watching television and in the ad break they would see 512 00:27:37,080 --> 00:27:39,080 Speaker 1: ads that were imperson into them. You know it is 513 00:27:39,240 --> 00:27:41,240 Speaker 1: this is the sort of fallacy that people prefer to 514 00:27:41,280 --> 00:27:43,680 Speaker 1: see targeted dads. It's like if they know they're being 515 00:27:44,160 --> 00:27:46,800 Speaker 1: except for me, I guess you're saying, but yeah, I 516 00:27:46,840 --> 00:27:49,639 Speaker 1: think you're the exception, if I think if they people 517 00:27:49,720 --> 00:27:51,840 Speaker 1: know they're being trapped and then they see an AD 518 00:27:51,880 --> 00:27:54,320 Speaker 1: that isn't personally to them, they get angry because they 519 00:27:54,320 --> 00:27:57,439 Speaker 1: sort of go, what does Google think I am in 520 00:27:57,480 --> 00:28:00,000 Speaker 1: the world? Words ads are not being targeted. People didn't 521 00:28:00,000 --> 00:28:02,560 Speaker 1: get creeped out or angry as the one relevant to 522 00:28:02,760 --> 00:28:05,440 Speaker 1: It's true ever since I had a daughter in October 523 00:28:05,480 --> 00:28:09,119 Speaker 1: and I've started getting like little princess ads exactly, and 524 00:28:09,400 --> 00:28:12,840 Speaker 1: they know where you live now. Alex Webb, Bloomberg Opinion, 525 00:28:12,880 --> 00:28:17,000 Speaker 1: Technology and Media column were columnists for Bloomberg Opinion. We 526 00:28:17,040 --> 00:28:19,720 Speaker 1: appreciate that. Again, a lot of changes in the digital 527 00:28:19,800 --> 00:28:22,560 Speaker 1: advertising space, and what we saw during the pandemic, Matt 528 00:28:22,640 --> 00:28:25,560 Speaker 1: was just an acceleration of the ad dollars away from 529 00:28:25,600 --> 00:28:30,120 Speaker 1: traditional media to these online platforms like Facebook. Like we'll 530 00:28:30,160 --> 00:28:31,879 Speaker 1: have all that coming up. Thanks for listening to the 531 00:28:31,880 --> 00:28:35,800 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 532 00:28:35,800 --> 00:28:40,120 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 533 00:28:40,120 --> 00:28:44,480 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three. Put 534 00:28:44,560 --> 00:28:47,160 Speaker 1: on fall Sweeney I'm on Twitter at pt Sweeney. Before 535 00:28:47,160 --> 00:28:50,320 Speaker 1: the podcast, you can always catch us worldwide at Bloomberg Radio,