1 00:00:05,080 --> 00:00:07,200 Speaker 1: This is the Bloomberg Surveillance Podcast. 2 00:00:07,680 --> 00:00:10,799 Speaker 2: I'm Lisa Abramoids along with Tom Keen and Jonathan Ferrow. 3 00:00:11,160 --> 00:00:15,280 Speaker 2: Join us each day for insight from the best in economics, geopolitics, 4 00:00:15,320 --> 00:00:16,440 Speaker 2: finance and investment. 5 00:00:16,760 --> 00:00:19,320 Speaker 1: Subscribe to Bloomberg Surveillance on demand. 6 00:00:19,000 --> 00:00:22,200 Speaker 2: On Apple, Spotify and anywhere you get your podcasts, and 7 00:00:22,320 --> 00:00:25,239 Speaker 2: always on Bloomberg dot Com, the Bloomberg Terminal, and the 8 00:00:25,280 --> 00:00:26,440 Speaker 2: Bloomberg Business App. 9 00:00:26,840 --> 00:00:27,640 Speaker 1: Let's get to it. 10 00:00:27,640 --> 00:00:30,159 Speaker 2: It is an important conversation on a day devoted to 11 00:00:30,200 --> 00:00:33,360 Speaker 2: celebrating retail sales. Let's head over to Macy's in New 12 00:00:33,440 --> 00:00:36,320 Speaker 2: York City's Herald Square, where bloombergs Caroline Hyde is joined 13 00:00:36,360 --> 00:00:38,519 Speaker 2: by the company's CEO, Jeff Gannett. 14 00:00:38,880 --> 00:00:42,199 Speaker 3: Caroline, Lisa, and Gina. Is a joy to be with 15 00:00:42,280 --> 00:00:44,800 Speaker 3: you with Jeff Gannett. Of course, on a day people 16 00:00:44,880 --> 00:00:47,280 Speaker 3: que they run in. The celebration is upon US Seal 17 00:00:47,360 --> 00:00:50,080 Speaker 3: Super Bowl. What are they buying today for Black Friday? 18 00:00:50,240 --> 00:00:52,920 Speaker 4: So they're buying everything on their gift list, and they're 19 00:00:52,920 --> 00:00:56,360 Speaker 4: buying that's really generally in luxury, so fine jewelry, they're 20 00:00:56,400 --> 00:01:00,880 Speaker 4: buying Kashmere, they're buying outwork for the entire family, Hostess 21 00:01:00,920 --> 00:01:03,760 Speaker 4: Gifts in our home store, but they're also home prep. 22 00:01:04,360 --> 00:01:07,240 Speaker 4: We've got great deals as we always do for Black Friday, 23 00:01:07,280 --> 00:01:08,800 Speaker 4: going all the way through the holiday season. 24 00:01:08,959 --> 00:01:09,640 Speaker 5: So we are ready. 25 00:01:09,640 --> 00:01:12,000 Speaker 4: We've got all of our key items, you know, loaded 26 00:01:12,000 --> 00:01:14,440 Speaker 4: to bear. Here we are in Harold's Square. It was 27 00:01:14,440 --> 00:01:17,080 Speaker 4: a good opening. We had a great day online yesterday 28 00:01:17,520 --> 00:01:18,600 Speaker 4: during Thanksgiving. 29 00:01:18,760 --> 00:01:20,520 Speaker 3: I mean you said that on your earnings, which what 30 00:01:20,600 --> 00:01:22,920 Speaker 3: what but a week ago? Yes, that this gets earlier 31 00:01:22,959 --> 00:01:26,560 Speaker 3: and earlier Black Friday. The competition. How important are the 32 00:01:26,640 --> 00:01:28,399 Speaker 3: next few days and the run up to the holidays. 33 00:01:28,400 --> 00:01:29,440 Speaker 5: Oh, it's still very important. 34 00:01:29,480 --> 00:01:31,040 Speaker 4: So you know, when you think about kind of Black 35 00:01:31,080 --> 00:01:33,840 Speaker 4: Friday deals really started it right after Halloween is when 36 00:01:33,840 --> 00:01:36,560 Speaker 4: they started. But this is still a pilgrimage you've got 37 00:01:36,600 --> 00:01:39,920 Speaker 4: you know, America is traveling, and they are in homes, 38 00:01:39,959 --> 00:01:42,360 Speaker 4: and they're coming into stores just like this one today. 39 00:01:42,520 --> 00:01:45,240 Speaker 4: They're online. They've been online all the way through. So 40 00:01:45,280 --> 00:01:46,920 Speaker 4: it's very very important. So when we look at kind 41 00:01:46,920 --> 00:01:49,400 Speaker 4: of Black Friday through Cyber Week, then we go into 42 00:01:49,400 --> 00:01:51,800 Speaker 4: a lull. It's like ten days where people kind of reset, 43 00:01:51,920 --> 00:01:54,960 Speaker 4: and then those last ten days become increasingly important. So 44 00:01:55,320 --> 00:01:57,360 Speaker 4: it's one of the three stages right now that we 45 00:01:57,400 --> 00:01:59,120 Speaker 4: are at the kind of the Christmas shopping is when 46 00:01:59,120 --> 00:01:59,800 Speaker 4: we're in right now. 47 00:02:00,080 --> 00:02:02,960 Speaker 3: First, what, of course your earnings showed so clearly is 48 00:02:02,960 --> 00:02:05,400 Speaker 3: that it's about inventory management in many ways at the moment, 49 00:02:05,440 --> 00:02:07,200 Speaker 3: and you've been managed and to ace that, how are 50 00:02:07,200 --> 00:02:08,639 Speaker 3: you ensuring you've got the right thing in the right 51 00:02:08,680 --> 00:02:11,120 Speaker 3: time for a consumer that basically we're all trying to 52 00:02:11,200 --> 00:02:12,120 Speaker 3: understand right now. 53 00:02:12,320 --> 00:02:15,040 Speaker 4: So obviously the consumer's under pressure, but they still love gifts, 54 00:02:15,280 --> 00:02:16,840 Speaker 4: and so we want to make sure that we've got 55 00:02:16,840 --> 00:02:18,359 Speaker 4: all the right gifts and we've got all the right 56 00:02:18,400 --> 00:02:21,400 Speaker 4: stock content in them. So I just walked this entire 57 00:02:21,440 --> 00:02:23,720 Speaker 4: store to really understand where we are in all of 58 00:02:23,760 --> 00:02:26,040 Speaker 4: the content across all of our categories, and we're in 59 00:02:26,080 --> 00:02:28,440 Speaker 4: great shape. And that's really in tribute to the amount 60 00:02:28,480 --> 00:02:30,639 Speaker 4: of work we've been putting in an inventory control. 61 00:02:30,800 --> 00:02:34,680 Speaker 3: And when it comes to online versus in store. In retail, 62 00:02:34,760 --> 00:02:37,280 Speaker 3: this is how you've been shifting the company. In particular, 63 00:02:37,520 --> 00:02:39,919 Speaker 3: people aren't perhaps having the footfall in mals, they're coming 64 00:02:39,919 --> 00:02:42,239 Speaker 3: to one off stores, they're going to smaller stall experiences. 65 00:02:42,639 --> 00:02:45,800 Speaker 3: But e commerce has just been the focus. How are 66 00:02:45,840 --> 00:02:47,799 Speaker 3: you managing to be at the right time, in the 67 00:02:47,880 --> 00:02:49,760 Speaker 3: right place for an omni channel purchase. 68 00:02:49,800 --> 00:02:52,280 Speaker 4: So really there's the strength of Macy's and Bloomingdales and 69 00:02:52,280 --> 00:02:55,280 Speaker 4: bloom Mercuries that we're omni channel and we're omni category. 70 00:02:55,480 --> 00:02:57,200 Speaker 4: So what you have is you have customers that are 71 00:02:57,240 --> 00:02:59,360 Speaker 4: shopping online, they want to come into a store and 72 00:02:59,400 --> 00:03:01,400 Speaker 4: try it on and maybe are transacting on the couch 73 00:03:01,480 --> 00:03:03,760 Speaker 4: later that night. So the opportunity to make it as 74 00:03:03,800 --> 00:03:06,880 Speaker 4: convenient for the customer as possible, however and whenever they 75 00:03:06,919 --> 00:03:09,080 Speaker 4: want to shop. So that's our beauty and doing that 76 00:03:09,160 --> 00:03:11,800 Speaker 4: with a national footprint with a great website is what 77 00:03:11,840 --> 00:03:12,440 Speaker 4: we depend on. 78 00:03:12,680 --> 00:03:15,000 Speaker 3: And of course why you've got such a great birdside perspective, 79 00:03:15,000 --> 00:03:16,880 Speaker 3: because you do have Bloomingdale's for the higher and more 80 00:03:16,960 --> 00:03:21,640 Speaker 3: luxury purchaser and then more income breadth. When it comes 81 00:03:21,639 --> 00:03:25,079 Speaker 3: to Macy's, what are we seeing in terms of the consumer? 82 00:03:25,160 --> 00:03:27,000 Speaker 3: Are they going to be spending more? Are they going 83 00:03:27,040 --> 00:03:27,720 Speaker 3: to be putting back? 84 00:03:28,000 --> 00:03:29,960 Speaker 4: So you do have customers that are under pressure. And 85 00:03:30,040 --> 00:03:32,200 Speaker 4: so when you think about the inflation is still high. 86 00:03:32,480 --> 00:03:35,120 Speaker 4: It's abating from the change at the inflation rate from 87 00:03:35,200 --> 00:03:37,120 Speaker 4: last year, but it's still higher than it was last year, 88 00:03:37,240 --> 00:03:39,240 Speaker 4: and customers have got a limited budget, some of it 89 00:03:39,320 --> 00:03:43,040 Speaker 4: they're spending and inexperiences, and then in our discretionary categories, 90 00:03:43,160 --> 00:03:44,640 Speaker 4: so we want to make sure that we've got the 91 00:03:44,720 --> 00:03:47,800 Speaker 4: right price points across that entire spectrum. But you still 92 00:03:47,840 --> 00:03:50,040 Speaker 4: give gifts, and this is where Macy's and Bloomingdale's and 93 00:03:50,040 --> 00:03:52,760 Speaker 4: Bloomercrey shine. So when you have this gift somebody on 94 00:03:52,800 --> 00:03:54,520 Speaker 4: your gift list, we're going to have the right content 95 00:03:54,520 --> 00:03:56,560 Speaker 4: for you at the right price point. And we spend 96 00:03:56,720 --> 00:03:59,280 Speaker 4: from when Black Friday ends to where we are right now. 97 00:03:59,360 --> 00:04:01,280 Speaker 4: We've been spending the year getting ready for that, and 98 00:04:01,320 --> 00:04:03,920 Speaker 4: we do trial runs in Valentine's Day, Mother's Day, Father's 99 00:04:04,000 --> 00:04:05,160 Speaker 4: Day to make sure we've got. 100 00:04:05,080 --> 00:04:05,680 Speaker 5: The right gifts. 101 00:04:06,240 --> 00:04:09,640 Speaker 3: You're ready, You're ready. People are worried, Analysts might be 102 00:04:09,640 --> 00:04:11,960 Speaker 3: worried that you're kind of managing decline at the moment. 103 00:04:11,960 --> 00:04:13,400 Speaker 3: What would you say to a comment like that. 104 00:04:13,600 --> 00:04:16,240 Speaker 4: Look, I think that if we weren't an apartment store today, 105 00:04:16,360 --> 00:04:18,760 Speaker 4: we would invent one. So the idea about having multi 106 00:04:18,800 --> 00:04:21,320 Speaker 4: categories being able to do that in multi channels, we 107 00:04:21,400 --> 00:04:23,200 Speaker 4: now have been able to get new categories and as 108 00:04:23,240 --> 00:04:25,920 Speaker 4: a result of Marketplace, which is now online at both 109 00:04:25,920 --> 00:04:29,760 Speaker 4: Bloomingdales and in Macy's. So I bet on department stores 110 00:04:29,800 --> 00:04:32,360 Speaker 4: and obviously I made my career doing this and it 111 00:04:32,440 --> 00:04:34,880 Speaker 4: is a you know, it's still very very relevant. You know, 112 00:04:34,920 --> 00:04:37,400 Speaker 4: we're obviously looking at where traffic is moving from on 113 00:04:37,560 --> 00:04:39,800 Speaker 4: mall to off mall. We're obviously testing that in both 114 00:04:39,839 --> 00:04:43,479 Speaker 4: Bloomingdale's with the Bloomys format and with Macy's with Macy's 115 00:04:43,880 --> 00:04:45,719 Speaker 4: and so we're going to be ready for where the 116 00:04:45,760 --> 00:04:48,640 Speaker 4: customer is evolving, and we've got very strong assets to 117 00:04:48,680 --> 00:04:50,960 Speaker 4: be able to do that, both on mall and obviously. 118 00:04:50,560 --> 00:04:54,080 Speaker 3: Online evolving into a world where we're all using chatbots 119 00:04:54,080 --> 00:04:56,200 Speaker 3: and artificient intelligence at front and center, and these are 120 00:04:56,200 --> 00:04:57,240 Speaker 3: sort of areas of investment. 121 00:04:57,320 --> 00:05:01,040 Speaker 4: Yes, absolutely, because when you think about AI and machine learning, 122 00:05:01,240 --> 00:05:03,719 Speaker 4: think about when we have forty million customers at Macy's 123 00:05:03,880 --> 00:05:05,040 Speaker 4: four million of Bloomingdals. 124 00:05:05,040 --> 00:05:05,960 Speaker 5: We know them very well. 125 00:05:06,080 --> 00:05:07,719 Speaker 4: So to have all that data and be able to 126 00:05:07,720 --> 00:05:11,040 Speaker 4: start to personalize content and values for those customers is 127 00:05:11,040 --> 00:05:12,840 Speaker 4: where this is all going. How do you make your 128 00:05:12,880 --> 00:05:15,440 Speaker 4: brand more relevant? And that is at a customer level. 129 00:05:15,560 --> 00:05:18,280 Speaker 4: It's no longer broad based promotion. It's the opportunity to 130 00:05:18,320 --> 00:05:20,479 Speaker 4: be able to I know, Caroline, and based on what 131 00:05:20,560 --> 00:05:22,320 Speaker 4: you buy, what you might be interested in them and 132 00:05:22,320 --> 00:05:23,600 Speaker 4: to be able to serve that up in the way 133 00:05:23,640 --> 00:05:25,920 Speaker 4: you want it served up is really the secret of 134 00:05:25,960 --> 00:05:28,000 Speaker 4: success for an omni channel retailer going forward. 135 00:05:28,760 --> 00:05:31,120 Speaker 3: You, of course just mentioned throughout your career this is 136 00:05:31,120 --> 00:05:33,080 Speaker 3: what you've been doing. For those who don't realize, you've 137 00:05:33,120 --> 00:05:36,000 Speaker 3: worked at the Macy's Brown for more than forty years 138 00:05:36,279 --> 00:05:38,520 Speaker 3: and this is your last Black Friday, and of course 139 00:05:38,520 --> 00:05:41,520 Speaker 3: CEOs that's twenty seventeen. You have been thought of as 140 00:05:41,560 --> 00:05:44,080 Speaker 3: a turnaround focus, the polarist, the way in which you 141 00:05:44,080 --> 00:05:47,240 Speaker 3: have thought about personalization, e commas and whether to of 142 00:05:47,279 --> 00:05:51,080 Speaker 3: course the COVID in and of itself. Do you feel 143 00:05:51,120 --> 00:05:53,760 Speaker 3: that you've got the plate Macy's where you want it 144 00:05:53,800 --> 00:05:55,800 Speaker 3: to be as you look towards as being your last 145 00:05:55,800 --> 00:05:56,360 Speaker 3: Black Friday? 146 00:05:56,440 --> 00:05:57,160 Speaker 5: Yeah, Look, when I. 147 00:05:57,160 --> 00:05:59,400 Speaker 4: Reflect back on my career, and certainly in my time 148 00:05:59,440 --> 00:06:01,839 Speaker 4: in CEO, I didn' accomplish everything that was on my list. 149 00:06:02,160 --> 00:06:05,719 Speaker 4: But look, the focus on relevant content, on amazing values, 150 00:06:05,800 --> 00:06:09,320 Speaker 4: and on customer experience is clearly the path forward. And 151 00:06:09,360 --> 00:06:12,600 Speaker 4: I couldn't be more excited about my successor who was 152 00:06:12,680 --> 00:06:14,440 Speaker 4: more than ready to be able to do this. He 153 00:06:14,520 --> 00:06:17,240 Speaker 4: knocked the cover off the ball with respect to Bloomingdale's 154 00:06:17,240 --> 00:06:18,880 Speaker 4: and what he was able to do there. How he 155 00:06:18,920 --> 00:06:20,640 Speaker 4: was able to kind of help turn around the strategy 156 00:06:20,680 --> 00:06:22,400 Speaker 4: of Bloe Mercury. He's now going to do that for 157 00:06:22,480 --> 00:06:25,000 Speaker 4: Macy's Inc. So he's got a good game plan and 158 00:06:25,040 --> 00:06:25,920 Speaker 4: he's going to make it better. 159 00:06:26,279 --> 00:06:28,800 Speaker 3: Jeff Cannette, we thank you so much for spending time 160 00:06:28,839 --> 00:06:30,480 Speaker 3: with us on what is your last Black Friday, But 161 00:06:30,880 --> 00:06:32,760 Speaker 3: still got a few more days in there, and of 162 00:06:32,800 --> 00:06:35,520 Speaker 3: course the job. He's here until February as the CEO 163 00:06:35,640 --> 00:06:38,400 Speaker 3: and CEO elect Tony Spring. But with that we sent 164 00:06:38,480 --> 00:06:39,599 Speaker 3: him back to you in the studio. 165 00:06:39,800 --> 00:06:40,479 Speaker 1: Thank you so much. 166 00:06:40,560 --> 00:06:44,080 Speaker 2: Bloomberg's Caroline Hyde and macy CEO Jeff Gannett on his 167 00:06:44,160 --> 00:06:47,800 Speaker 2: last Black Friday on the floor talking about the importance 168 00:06:47,839 --> 00:07:00,960 Speaker 2: of gifts, joining us to give us his review of 169 00:07:01,000 --> 00:07:03,600 Speaker 2: the scene from White Plains. Joe Feldman, Senior Research Analyst 170 00:07:03,640 --> 00:07:06,600 Speaker 2: and Assistant director of Research at tells the advisory group, 171 00:07:06,640 --> 00:07:08,400 Speaker 2: this is sort of the tradition. You wake up early, 172 00:07:08,440 --> 00:07:10,720 Speaker 2: I assume, and you go out to see what's going 173 00:07:10,760 --> 00:07:12,360 Speaker 2: on in different stores. Can you just give us a 174 00:07:12,440 --> 00:07:15,040 Speaker 2: rundown of what your first take is this year. 175 00:07:16,040 --> 00:07:18,840 Speaker 6: Yeah, so I did get up early, as you said, 176 00:07:18,880 --> 00:07:20,080 Speaker 6: part of the tradition. 177 00:07:19,880 --> 00:07:22,000 Speaker 7: And it was very quiet out there. I was in 178 00:07:22,080 --> 00:07:23,960 Speaker 7: a best Buy and a Target. 179 00:07:24,040 --> 00:07:27,040 Speaker 6: So far, not too many stores are open yet, you know, 180 00:07:27,120 --> 00:07:29,480 Speaker 6: Best Buy, Target, Dick Sporting Goods were all open around 181 00:07:29,520 --> 00:07:33,040 Speaker 6: six am. And the traffic is like they're all ready 182 00:07:33,040 --> 00:07:36,080 Speaker 6: for the Black Friday day. You know, their well stocked. 183 00:07:36,120 --> 00:07:39,320 Speaker 6: The signage was great, a lot of employees in the store, 184 00:07:39,640 --> 00:07:41,160 Speaker 6: just not a lot of people yet. And I think 185 00:07:41,160 --> 00:07:43,400 Speaker 6: that's because you can get a lot of the goods 186 00:07:43,400 --> 00:07:45,800 Speaker 6: in those prices earlier. I mean, you could have gotten 187 00:07:45,920 --> 00:07:48,480 Speaker 6: yesterday online, you could have gone in the past week really, 188 00:07:49,360 --> 00:07:51,320 Speaker 6: and a lot of these stores they started their Black 189 00:07:51,320 --> 00:07:54,920 Speaker 6: Friday sales much earlier than we've seen in the past. 190 00:07:54,960 --> 00:07:57,800 Speaker 6: And I think that that's, you know, just elogating the 191 00:07:57,880 --> 00:08:00,280 Speaker 6: season and also less of a rush to get out 192 00:08:00,320 --> 00:08:02,040 Speaker 6: first thing in the morning for that doorbuster. 193 00:08:02,680 --> 00:08:04,880 Speaker 8: Joe, I want to really key in on this idea 194 00:08:04,920 --> 00:08:07,480 Speaker 8: that many of the retailers are not open yet, because 195 00:08:07,680 --> 00:08:10,280 Speaker 8: my recollection is over the last couple of years we 196 00:08:10,280 --> 00:08:13,240 Speaker 8: were extending the opening hours among retail We had a 197 00:08:13,240 --> 00:08:16,240 Speaker 8: lot of retailers even opening a few years ago on 198 00:08:16,400 --> 00:08:20,480 Speaker 8: Thanksgiving as opposed to waiting to open early on Black Friday. 199 00:08:21,040 --> 00:08:24,080 Speaker 8: What's the change here? Is it really just the overall 200 00:08:24,120 --> 00:08:27,320 Speaker 8: extension of the season and the advent of online retail 201 00:08:27,320 --> 00:08:30,480 Speaker 8: as a really critical component of our shopping strategy. Or 202 00:08:31,120 --> 00:08:33,360 Speaker 8: is there a labor component to this? Is there something 203 00:08:33,440 --> 00:08:37,000 Speaker 8: to do with lack of labor, lack of available labor 204 00:08:37,120 --> 00:08:39,360 Speaker 8: and also some pushback from labor as to what they're 205 00:08:39,360 --> 00:08:39,920 Speaker 8: willing to do. 206 00:08:40,840 --> 00:08:42,680 Speaker 6: You know, I think that's a great point, because I 207 00:08:42,720 --> 00:08:47,000 Speaker 6: do think that labor isn't component here where you know, 208 00:08:47,080 --> 00:08:50,000 Speaker 6: the retailers have decided that you know, look, given the 209 00:08:50,080 --> 00:08:52,480 Speaker 6: volumes that they've seen in the past couple of years, 210 00:08:52,960 --> 00:08:56,160 Speaker 6: and maybe it's better to treat their employees better and 211 00:08:56,360 --> 00:08:59,160 Speaker 6: you know, maybe not have everybody out at midnight on 212 00:08:59,679 --> 00:09:02,280 Speaker 6: Black Friday or even you know at the end of 213 00:09:02,320 --> 00:09:04,600 Speaker 6: you know, six at six pm on Thanksgiving like we 214 00:09:04,679 --> 00:09:08,480 Speaker 6: saw several years ago, you know, where the traffic end 215 00:09:08,480 --> 00:09:12,120 Speaker 6: of the store just wasn't enough to warrant a spending 216 00:09:12,160 --> 00:09:14,559 Speaker 6: on the labor and be you know, giving labor a 217 00:09:14,600 --> 00:09:17,160 Speaker 6: break and giving that the store employees a chance to 218 00:09:17,480 --> 00:09:19,679 Speaker 6: rest and enjoy the holiday with their families and then 219 00:09:19,720 --> 00:09:22,200 Speaker 6: come and refresh for the next day. I do think 220 00:09:22,240 --> 00:09:26,480 Speaker 6: that by elongating the season that helped alleviate some of 221 00:09:26,520 --> 00:09:29,800 Speaker 6: that stress and puts less emphasis on just this Black 222 00:09:29,800 --> 00:09:31,760 Speaker 6: Friday along. I do think we're going to see a 223 00:09:31,760 --> 00:09:34,240 Speaker 6: pretty decent day in the malls later and out in 224 00:09:34,280 --> 00:09:37,840 Speaker 6: the stores and for the whole weekend. But again, you know, 225 00:09:37,920 --> 00:09:40,600 Speaker 6: it's just a longer period that we're seeing. 226 00:09:41,160 --> 00:09:44,360 Speaker 8: Okay, so a decent day that today, a decent weekend potentially, 227 00:09:44,400 --> 00:09:47,240 Speaker 8: what does that mean for that longer period? What are 228 00:09:47,280 --> 00:09:49,319 Speaker 8: you expecting for holiday sales. We had a pretty good 229 00:09:49,320 --> 00:09:52,440 Speaker 8: conversation with Wells Fargo earlier this morning. They're looking at 230 00:09:52,440 --> 00:09:55,120 Speaker 8: five percent retail sales growth, which frankly doesn't sound too 231 00:09:55,160 --> 00:09:58,560 Speaker 8: bad given long term average pace of sales growth this 232 00:09:58,600 --> 00:10:01,280 Speaker 8: time of year is about four. That sounds pretty decent, 233 00:10:01,320 --> 00:10:04,520 Speaker 8: pretty optimistic. What are you a TELS group thinking, Yeah, the. 234 00:10:04,480 --> 00:10:07,120 Speaker 6: Five percent is a little bit optimistic, but we've seen 235 00:10:07,160 --> 00:10:09,640 Speaker 6: quite a few people with you know, estamate somewhere in 236 00:10:09,679 --> 00:10:12,240 Speaker 6: that three to five percent area. At Tells the Advisor, 237 00:10:12,600 --> 00:10:15,240 Speaker 6: our formal estimate is three and a half to four percent. 238 00:10:16,120 --> 00:10:18,640 Speaker 6: We did it two ways. We looked at it bottom up, 239 00:10:18,760 --> 00:10:21,160 Speaker 6: just like looking at all the forecasts for the companies. 240 00:10:21,400 --> 00:10:23,480 Speaker 6: We also looked down at top down, just looking at 241 00:10:23,480 --> 00:10:26,600 Speaker 6: the macro data of all the US government retail sales three. 242 00:10:26,520 --> 00:10:27,440 Speaker 7: And a half four percent. 243 00:10:27,559 --> 00:10:30,240 Speaker 6: We felt like, as you said, that four percent or 244 00:10:30,240 --> 00:10:32,319 Speaker 6: so is kind of the long term average. 245 00:10:31,920 --> 00:10:33,360 Speaker 7: And it feels like this is going to be a 246 00:10:33,360 --> 00:10:34,640 Speaker 7: bit more of a normal year like that. 247 00:10:35,440 --> 00:10:36,640 Speaker 1: So, Joe, I got to be honest. 248 00:10:36,679 --> 00:10:39,560 Speaker 2: The main topic of discussion at my household for Thanksgiving 249 00:10:39,600 --> 00:10:41,280 Speaker 2: was genitor of A and I and how it's going 250 00:10:41,320 --> 00:10:43,920 Speaker 2: to transform our world. I know it sounds like it's 251 00:10:43,920 --> 00:10:47,240 Speaker 2: scintillating a holiday discussion, but I'm curious from your vantage. 252 00:10:47,240 --> 00:10:49,120 Speaker 8: Polisa has a particularly nerdy house. 253 00:10:50,080 --> 00:10:52,840 Speaker 2: It's okay, I ambracive, but I'm curious. You know how 254 00:10:52,920 --> 00:10:55,240 Speaker 2: much that's changing the way people stop. I mean, given 255 00:10:55,280 --> 00:10:58,320 Speaker 2: the fact that a third of people responded to the 256 00:10:58,360 --> 00:11:01,760 Speaker 2: survey that I was reading are using some generative AI 257 00:11:02,360 --> 00:11:04,840 Speaker 2: to figure out how to shop. I mean, how is 258 00:11:04,880 --> 00:11:08,400 Speaker 2: this shifting the way that some of these companies really 259 00:11:08,520 --> 00:11:10,120 Speaker 2: try to cater to their customers. 260 00:11:11,320 --> 00:11:14,760 Speaker 6: So I think the retailers are starting to embrace it. 261 00:11:14,760 --> 00:11:18,160 Speaker 6: It still feels very early for it though, and the 262 00:11:18,240 --> 00:11:21,480 Speaker 6: quality of the generative AI the responses you get is 263 00:11:21,559 --> 00:11:25,280 Speaker 6: somewhat mixed. But the retailers are working aggressively to try 264 00:11:25,280 --> 00:11:28,199 Speaker 6: to help you do things more efficiently for their own 265 00:11:28,280 --> 00:11:31,160 Speaker 6: organizations and also serve the customer better. You know, if 266 00:11:31,160 --> 00:11:33,240 Speaker 6: you think about the chatbots that you get when you 267 00:11:33,320 --> 00:11:36,240 Speaker 6: go online, or you know, maybe if the large language 268 00:11:36,280 --> 00:11:41,200 Speaker 6: model generative AI have more natural responses and better quality responses. 269 00:11:41,600 --> 00:11:42,720 Speaker 7: I think that's coming. 270 00:11:43,240 --> 00:11:46,000 Speaker 6: It's not quite here yet, but people are embracing it, 271 00:11:46,200 --> 00:11:48,240 Speaker 6: and I think that the retailers are all trying to 272 00:11:48,280 --> 00:11:52,360 Speaker 6: get there, but it's really I think a couple of years. 273 00:11:52,160 --> 00:11:54,520 Speaker 7: Away before we're going to see a major impact from it. 274 00:11:54,760 --> 00:11:57,120 Speaker 2: Although if you take a step further, Joe, there was 275 00:11:57,160 --> 00:11:59,119 Speaker 2: something else, you know, just sort of in the catastrophic 276 00:11:59,240 --> 00:12:02,040 Speaker 2: rate realm of time, which is also you know, it 277 00:12:02,080 --> 00:12:04,920 Speaker 2: makes dinners really exciting. I'm curious about, you know, what 278 00:12:04,920 --> 00:12:07,080 Speaker 2: this means for the employment picture. We're talking about labor, 279 00:12:07,080 --> 00:12:08,760 Speaker 2: and it's actually very much connected to what you were 280 00:12:08,760 --> 00:12:10,600 Speaker 2: just talking about with Gina. You know, you don't have 281 00:12:10,640 --> 00:12:12,600 Speaker 2: to pay a robot to work during the holidays. How 282 00:12:12,720 --> 00:12:15,960 Speaker 2: much is there this feeling of you know, cash registers 283 00:12:15,960 --> 00:12:19,360 Speaker 2: that are self checkout, different programs that can do personal 284 00:12:19,360 --> 00:12:21,880 Speaker 2: shopping for you. I mean, there's an evolution to this 285 00:12:21,920 --> 00:12:23,800 Speaker 2: that can really cut back some of the base costs 286 00:12:23,800 --> 00:12:26,400 Speaker 2: for these retailers. How much are we seeing that in 287 00:12:26,440 --> 00:12:27,640 Speaker 2: the stores at this point? 288 00:12:29,040 --> 00:12:31,720 Speaker 6: At this point, I think it's still relatively low because 289 00:12:31,720 --> 00:12:34,760 Speaker 6: of that particular technology generator d AI. But I do 290 00:12:34,800 --> 00:12:38,720 Speaker 6: think that we have seen technology reduced costs for retailers 291 00:12:38,760 --> 00:12:40,239 Speaker 6: to make them run more efficiently. 292 00:12:40,559 --> 00:12:42,080 Speaker 7: We've seen, as you mentioned, you. 293 00:12:42,080 --> 00:12:46,080 Speaker 6: Know, automated self checkout, your assisted self checkout. Now you 294 00:12:46,080 --> 00:12:48,560 Speaker 6: can have one person manning five or six registers at 295 00:12:48,600 --> 00:12:51,320 Speaker 6: the same time. You know, it's a lot more efficient, 296 00:12:51,320 --> 00:12:53,160 Speaker 6: and then you can get people onto the floor to 297 00:12:53,160 --> 00:12:57,600 Speaker 6: help the customers. You can stalk the aisles better, so 298 00:12:57,679 --> 00:12:59,480 Speaker 6: there's a lot that you could do. And then on 299 00:12:59,520 --> 00:13:01,520 Speaker 6: the back end and just on the supply chain side, 300 00:13:01,559 --> 00:13:03,760 Speaker 6: there's so much you can do now. Retailers have been 301 00:13:03,800 --> 00:13:07,960 Speaker 6: embracing AI and machine learning for years. The generative part 302 00:13:08,080 --> 00:13:10,520 Speaker 6: is where it's new, and that's still yet to come. 303 00:13:10,920 --> 00:13:12,760 Speaker 6: And you know, my understanding is a lot of the 304 00:13:12,800 --> 00:13:15,280 Speaker 6: retails are they're still staffing up you know, they still 305 00:13:15,280 --> 00:13:18,439 Speaker 6: need the people to even be able to harness it 306 00:13:18,480 --> 00:13:21,000 Speaker 6: and the data, you know, the software engineers to really 307 00:13:21,000 --> 00:13:24,280 Speaker 6: write the code and to really embrace it. And you know, 308 00:13:24,360 --> 00:13:27,040 Speaker 6: I do think there's an important element here where people 309 00:13:27,040 --> 00:13:30,400 Speaker 6: are so crucial to the system because it does create 310 00:13:30,440 --> 00:13:33,600 Speaker 6: those jobs for people, you know, maybe more skilled labor 311 00:13:33,640 --> 00:13:37,600 Speaker 6: on the software engineering side. Also within the store, you 312 00:13:37,640 --> 00:13:40,720 Speaker 6: still want customer facing people. You still want people to 313 00:13:40,760 --> 00:13:43,480 Speaker 6: help the customer, and so I think it just changes 314 00:13:43,559 --> 00:13:46,840 Speaker 6: the tasks for labor within the store rather than necessarily 315 00:13:46,920 --> 00:13:48,400 Speaker 6: cut labor tooth thin. 316 00:13:49,040 --> 00:13:51,120 Speaker 8: Joe, can we talk a little bit about the broader 317 00:13:51,120 --> 00:13:54,040 Speaker 8: competitive landscape for a retailer right now? Because I'm struck 318 00:13:54,080 --> 00:13:58,960 Speaker 8: by this idea that consumers are still very focused on experiences, 319 00:13:59,040 --> 00:14:03,040 Speaker 8: on spending on certain visus ongoing to restaurants. How are 320 00:14:03,080 --> 00:14:06,120 Speaker 8: retailers thinking about not just their competition with their fellow 321 00:14:06,160 --> 00:14:09,560 Speaker 8: retail but their general competition for consumer dollars in an 322 00:14:09,640 --> 00:14:12,880 Speaker 8: environment where consumers are clearly preferring to go and spend 323 00:14:12,880 --> 00:14:14,360 Speaker 8: on services relative to goods. 324 00:14:15,360 --> 00:14:17,839 Speaker 7: Yeah, you know, I think the retails are doing two things. 325 00:14:17,840 --> 00:14:20,240 Speaker 6: One is they're trying to create a more exciting environment 326 00:14:20,320 --> 00:14:23,200 Speaker 6: and more more of an experience itself within the store, 327 00:14:23,280 --> 00:14:27,080 Speaker 6: or if you're shopping online, have a more more efficient experience, 328 00:14:27,080 --> 00:14:30,920 Speaker 6: a better fun experience, want of discovery, treasure hunted to 329 00:14:30,960 --> 00:14:32,280 Speaker 6: some extent at some stores. 330 00:14:32,800 --> 00:14:33,960 Speaker 7: The other part is innovation. 331 00:14:34,560 --> 00:14:38,760 Speaker 6: Whenever we see innovation in product, whether it's you know, apparel, 332 00:14:39,560 --> 00:14:44,000 Speaker 6: you know, furnishings or electronics, the consumer tends to respond. 333 00:14:44,400 --> 00:14:46,920 Speaker 6: And so you know, when we have had that innovation, 334 00:14:47,440 --> 00:14:50,240 Speaker 6: you know, the consumer responds. We're trying to push innovation 335 00:14:50,280 --> 00:14:52,440 Speaker 6: a little bit more from the retail side, but I 336 00:14:52,440 --> 00:14:56,000 Speaker 6: do think the retailers have been very prudent in their outlook, 337 00:14:56,240 --> 00:15:00,239 Speaker 6: understanding that services spending is still you know, recovering actually 338 00:15:00,280 --> 00:15:02,480 Speaker 6: from where you know, to get back to even pre 339 00:15:02,520 --> 00:15:05,920 Speaker 6: pandemic levels. So we're not fully there yet. So I 340 00:15:05,920 --> 00:15:08,360 Speaker 6: think the assumption is that you will see continued spending 341 00:15:08,400 --> 00:15:10,920 Speaker 6: on services. The retailers are just trying to find a 342 00:15:10,960 --> 00:15:14,240 Speaker 6: way to create exciting merchandise to get people to buy 343 00:15:14,280 --> 00:15:16,800 Speaker 6: that at the same time. And that's also why I 344 00:15:16,840 --> 00:15:19,040 Speaker 6: think we're going to see a decent holiday season, because 345 00:15:19,040 --> 00:15:22,520 Speaker 6: the consumer has money, they're just spending in different pockets 346 00:15:22,560 --> 00:15:26,160 Speaker 6: right now. And I think that that selective or choiceful spending, 347 00:15:26,200 --> 00:15:29,080 Speaker 6: as someone said, you know, is really where you can 348 00:15:29,080 --> 00:15:29,760 Speaker 6: see that shift. 349 00:15:29,840 --> 00:15:30,000 Speaker 2: Now. 350 00:15:30,120 --> 00:15:32,800 Speaker 6: The time is, you know, the holiday season, gift giving. 351 00:15:32,880 --> 00:15:35,080 Speaker 6: I think that's where you're going to see that shift back. 352 00:15:35,480 --> 00:15:38,840 Speaker 6: You know, maybe come first quarter, you know winter, people 353 00:15:38,880 --> 00:15:41,160 Speaker 6: want to get away. Travel starts to happen again at 354 00:15:41,200 --> 00:15:43,040 Speaker 6: school breaks in the February March. 355 00:15:42,880 --> 00:15:43,800 Speaker 7: Time for period. 356 00:15:44,320 --> 00:15:46,280 Speaker 2: Joe Feldman, thank you so much for being with us. 357 00:15:46,360 --> 00:15:49,280 Speaker 2: A happy holidays, Joe Feldman of tells the advisory group, thank. 358 00:15:49,160 --> 00:15:50,000 Speaker 1: You for being with us. 359 00:15:54,760 --> 00:15:57,840 Speaker 2: Justin Wilfer's, professor of economics at the University of Michigan. 360 00:15:57,520 --> 00:15:58,560 Speaker 1: Taking a look at Thanksgiving. 361 00:15:58,720 --> 00:16:02,320 Speaker 2: Thanksgiving distantly saying, well, the cost of living is up, 362 00:16:02,320 --> 00:16:05,200 Speaker 2: and consumer perception is that everything is more expensive. The 363 00:16:05,200 --> 00:16:08,360 Speaker 2: price of your holiday dinner actually fell from a year ago. 364 00:16:08,400 --> 00:16:11,120 Speaker 2: The price of turkey down more than five percent, stuffing 365 00:16:11,120 --> 00:16:16,160 Speaker 2: down almost three percent, Cranberry's down eighteen percent. Pumpkin pie lovers, though, 366 00:16:16,440 --> 00:16:19,320 Speaker 2: that price up almost four percent. I did make a 367 00:16:19,320 --> 00:16:22,600 Speaker 2: pumpkin pie, and actually I did notice that justin joining 368 00:16:22,640 --> 00:16:24,880 Speaker 2: us now, Justin, it's interesting that. 369 00:16:24,840 --> 00:16:25,640 Speaker 1: You put this out. 370 00:16:26,000 --> 00:16:28,280 Speaker 2: It seems like, yes, it is interesting just on the 371 00:16:28,400 --> 00:16:31,840 Speaker 2: face level of Thanksgiving, but there's a deeper message here 372 00:16:32,000 --> 00:16:34,840 Speaker 2: about kind of where there is disinflation and how that 373 00:16:34,920 --> 00:16:37,640 Speaker 2: isn't necessarily showing up in consumer sentiment. 374 00:16:38,040 --> 00:16:38,880 Speaker 1: What's your take on. 375 00:16:38,840 --> 00:16:42,320 Speaker 9: That, Lisa, I'm glad you saw the deeper message. Look, 376 00:16:42,360 --> 00:16:45,080 Speaker 9: the deeper message was almost a form of performance on 377 00:16:45,240 --> 00:16:49,880 Speaker 9: I pretended to care about these individual prices. The reality is, 378 00:16:49,880 --> 00:16:51,640 Speaker 9: if you want to track the cost of living, what 379 00:16:51,720 --> 00:16:53,880 Speaker 9: you need to do is go and visit hundreds of 380 00:16:53,920 --> 00:16:58,480 Speaker 9: supermarkets from dozens of cities and sample thousands of goods 381 00:16:58,480 --> 00:16:58,760 Speaker 9: and have. 382 00:16:58,840 --> 00:17:01,120 Speaker 10: Very sophisticated comput to put it all together. 383 00:17:01,400 --> 00:17:03,560 Speaker 9: And thank goodness, we have someone who does that for us, 384 00:17:03,560 --> 00:17:07,960 Speaker 9: called the BLS. And instead, what we get every year 385 00:17:08,119 --> 00:17:12,879 Speaker 9: and basically every news cycle is some interest group or 386 00:17:12,960 --> 00:17:15,680 Speaker 9: one side of the political spectrum or another will pretend 387 00:17:15,720 --> 00:17:18,280 Speaker 9: to obsess and pretend to care about things like the 388 00:17:18,320 --> 00:17:21,240 Speaker 9: price of turkeys. And actually the graphic you to shout, 389 00:17:21,240 --> 00:17:24,159 Speaker 9: I think was a beautiful teaching point because it's always 390 00:17:24,240 --> 00:17:26,680 Speaker 9: the case that whether inflation's two percent or whether it's 391 00:17:26,720 --> 00:17:29,239 Speaker 9: four percent, that there's a bunch of stuff going up 392 00:17:29,280 --> 00:17:31,679 Speaker 9: a fair bit. And right there you've got like, ah, 393 00:17:31,800 --> 00:17:33,800 Speaker 9: that pumpkin pie mix, And I noticed bread rolls are 394 00:17:33,800 --> 00:17:36,119 Speaker 9: a little bit more expensive too, And you've got a 395 00:17:36,160 --> 00:17:37,040 Speaker 9: bunch of stuff. 396 00:17:36,800 --> 00:17:39,119 Speaker 10: Going down, like the price of fresh cranberries. 397 00:17:39,840 --> 00:17:42,520 Speaker 9: Turkey prices are plummeting because you know, the bird flow 398 00:17:42,600 --> 00:17:45,280 Speaker 9: is a bit behind us, and so trying to tell 399 00:17:45,320 --> 00:17:47,639 Speaker 9: the story of the whole economy through graphics like this, 400 00:17:47,720 --> 00:17:49,320 Speaker 9: and I'm not having to go at Bloomberg because you 401 00:17:49,359 --> 00:17:52,399 Speaker 9: were honest about it, Lisa, but often the major cable 402 00:17:52,440 --> 00:17:55,280 Speaker 9: networks or not is an absurd way of trying to 403 00:17:55,359 --> 00:17:56,520 Speaker 9: track the macro economy. 404 00:17:56,600 --> 00:17:58,320 Speaker 10: Let's focus on the data instead. 405 00:18:00,160 --> 00:18:04,640 Speaker 8: You correctly note that also airline costs are going down, 406 00:18:04,720 --> 00:18:07,360 Speaker 8: so the cost of services is intriguingly going down year 407 00:18:07,359 --> 00:18:09,639 Speaker 8: over year on top of the cost of goods going down. 408 00:18:10,320 --> 00:18:13,320 Speaker 8: In that kind of environment where we are seeing generally 409 00:18:13,400 --> 00:18:17,719 Speaker 8: prices at least rationalizing from sky high piece of inflation 410 00:18:17,800 --> 00:18:20,399 Speaker 8: over the last couple of years, why are consumers telling 411 00:18:20,440 --> 00:18:22,720 Speaker 8: us that they're expecting more inflation going forward. 412 00:18:24,160 --> 00:18:26,040 Speaker 9: Well, I think the simplest model of what's going through 413 00:18:26,040 --> 00:18:29,959 Speaker 9: consumer's mind is minds. They're not running sophisticated models of 414 00:18:29,960 --> 00:18:32,639 Speaker 9: the form that you are, or that your viewers might be. 415 00:18:33,520 --> 00:18:38,480 Speaker 9: They're going to the store and so generally one of 416 00:18:38,520 --> 00:18:41,439 Speaker 9: the best ways of predicting inflation is whatever's currently happening 417 00:18:41,480 --> 00:18:44,600 Speaker 9: is going to continue to happen, and all the rest 418 00:18:44,680 --> 00:18:46,919 Speaker 9: of the other stuff, what's going on with import prices 419 00:18:47,000 --> 00:18:50,040 Speaker 9: or oil prices or the output gap, is just a 420 00:18:50,080 --> 00:18:51,560 Speaker 9: slight modification of that. 421 00:18:52,800 --> 00:18:55,400 Speaker 10: And consumers, of course, also are incredibly. 422 00:18:55,000 --> 00:18:58,240 Speaker 9: Responsive to the most salient prices, the most salient prices 423 00:18:58,280 --> 00:19:01,760 Speaker 9: obviously being gasoline, I think beyond that food and so 424 00:19:02,720 --> 00:19:06,280 Speaker 9: consumer inflation expectations tend to track those things a little 425 00:19:06,320 --> 00:19:09,159 Speaker 9: bit too much. Now, the problem with this, of course 426 00:19:09,680 --> 00:19:12,360 Speaker 9: is what's not st land well, the cost of healthcare, 427 00:19:13,080 --> 00:19:16,040 Speaker 9: the cost of education. But these things are a huge 428 00:19:16,119 --> 00:19:19,399 Speaker 9: part of the consumer basket, the cost of housing as well, 429 00:19:20,480 --> 00:19:25,240 Speaker 9: and so inflation expectations often or perceptions, may not track 430 00:19:25,320 --> 00:19:29,040 Speaker 9: reality particularly well at important points because we're a little 431 00:19:29,080 --> 00:19:31,520 Speaker 9: bit too focused on what we see at the store 432 00:19:31,680 --> 00:19:32,920 Speaker 9: and not what really matters. 433 00:19:33,840 --> 00:19:36,520 Speaker 8: So what do you think policymakers are focutfull focus on 434 00:19:36,600 --> 00:19:38,719 Speaker 8: the perceptions are reality? 435 00:19:39,440 --> 00:19:41,640 Speaker 9: Well, every policy maker I talk to it gets told 436 00:19:41,680 --> 00:19:45,000 Speaker 9: they should look at the darn data. Now, if you're 437 00:19:45,000 --> 00:19:47,760 Speaker 9: talking about political policy makers, they've got two jobs. One 438 00:19:47,840 --> 00:19:49,880 Speaker 9: is to figure out what's going on, and the other 439 00:19:49,960 --> 00:19:53,040 Speaker 9: is to convince the electric to re elect them. Some 440 00:19:53,080 --> 00:19:56,480 Speaker 9: of the genuinely silliest commentary we get on the economy, 441 00:19:56,480 --> 00:20:01,040 Speaker 9: including and particularly on inflation, comes from congressional representative because 442 00:20:01,080 --> 00:20:04,680 Speaker 9: they're always looking for the juiciest, least representative SoundBite that 443 00:20:04,760 --> 00:20:07,919 Speaker 9: helps their side the most. I worry that if you 444 00:20:07,960 --> 00:20:12,760 Speaker 9: spend your whole time, all day every day saying, for instance, Biden, 445 00:20:12,800 --> 00:20:16,240 Speaker 9: inflation has caused the price of dinner rolls to skyrocket, 446 00:20:16,240 --> 00:20:19,639 Speaker 9: that you might eventually start to believe it. So I 447 00:20:19,680 --> 00:20:21,880 Speaker 9: think those folks, I really do worry about their view 448 00:20:21,920 --> 00:20:24,600 Speaker 9: on the economy. Now, I know Jay Powell and our 449 00:20:24,640 --> 00:20:27,880 Speaker 9: friends at the FED are a little more sophisticated. They're 450 00:20:27,920 --> 00:20:30,880 Speaker 9: focusing on the real data. They've got folks pouring over 451 00:20:30,920 --> 00:20:33,640 Speaker 9: every line of those of the CPI, of the PCE 452 00:20:34,000 --> 00:20:36,560 Speaker 9: and so on, and I think they're telling pretty much 453 00:20:36,560 --> 00:20:40,600 Speaker 9: the correct story, which is that inflation is moderating. There 454 00:20:40,640 --> 00:20:44,160 Speaker 9: are good reasons to be optimistic it may moderate. One 455 00:20:44,200 --> 00:20:47,000 Speaker 9: of the most notable things that has happened over the 456 00:20:47,040 --> 00:20:50,840 Speaker 9: past year really is that Jay Pallace started to talk 457 00:20:50,840 --> 00:20:53,960 Speaker 9: about inflation in terms of supply sharks, that's a real 458 00:20:53,960 --> 00:20:56,959 Speaker 9: optimism that the bad times were due to supply and 459 00:20:57,280 --> 00:20:59,600 Speaker 9: the supply shocks are behind us, which gives you a 460 00:20:59,600 --> 00:21:02,040 Speaker 9: whole lot a reason to feel optimistic that the better 461 00:21:02,080 --> 00:21:03,040 Speaker 9: times are ahead of us. 462 00:21:03,320 --> 00:21:05,760 Speaker 2: This sort of speaks to the whole immaculate disinflation idea 463 00:21:05,760 --> 00:21:08,120 Speaker 2: that it was just a supply shock right siding itself, 464 00:21:08,160 --> 00:21:10,280 Speaker 2: and that there was this transitory it's sort of back 465 00:21:10,320 --> 00:21:11,560 Speaker 2: to transitory without saying the. 466 00:21:11,520 --> 00:21:13,680 Speaker 1: T word, which they were pilloried for. 467 00:21:13,840 --> 00:21:16,280 Speaker 2: How much are we now starting to see demand side 468 00:21:16,400 --> 00:21:16,800 Speaker 2: pick up? 469 00:21:16,840 --> 00:21:19,480 Speaker 1: For that, especially with real wages actually. 470 00:21:19,119 --> 00:21:21,960 Speaker 2: Turning positive in a more material way, with how much 471 00:21:22,000 --> 00:21:23,200 Speaker 2: inflation is coming in. 472 00:21:24,280 --> 00:21:26,119 Speaker 9: Well, what really matters for inflation is what's going on 473 00:21:26,160 --> 00:21:29,640 Speaker 9: with nominal wages. What matters for your quality of life 474 00:21:29,680 --> 00:21:32,720 Speaker 9: is of course real wages, and nominal wage growth has 475 00:21:32,760 --> 00:21:35,880 Speaker 9: been you know, fairly moderate, not far off what would 476 00:21:35,880 --> 00:21:39,120 Speaker 9: normally be consistent with two percent inflation if you think about, 477 00:21:39,119 --> 00:21:41,760 Speaker 9: you know, inflation plus productivity, and I think, now you've 478 00:21:41,760 --> 00:21:44,239 Speaker 9: got to have inflation plus productivity plus a little bit 479 00:21:44,240 --> 00:21:47,320 Speaker 9: of catch up for real wages having not kept up 480 00:21:47,520 --> 00:21:51,120 Speaker 9: for all of that time, So you know, I see 481 00:21:51,160 --> 00:21:55,280 Speaker 9: every reason to feel optimistic there's a deep question here 482 00:21:55,800 --> 00:21:58,520 Speaker 9: is what was I mean, the big question you just asked, Lisa, 483 00:21:58,640 --> 00:22:02,199 Speaker 9: is is this about apply or is it about demand? 484 00:22:02,920 --> 00:22:05,000 Speaker 9: But actually on the supply side, is it just a 485 00:22:05,000 --> 00:22:09,119 Speaker 9: bad supply shock exiting the system? Or maybe are we 486 00:22:09,160 --> 00:22:12,560 Speaker 9: actually on the cusp of a positive supply shark? Are 487 00:22:12,560 --> 00:22:15,280 Speaker 9: we seeing productivity rise at levels we haven't seen before? 488 00:22:15,400 --> 00:22:18,920 Speaker 9: Are we seeing the economy expand without generating inflation? 489 00:22:19,000 --> 00:22:19,440 Speaker 10: And we are? 490 00:22:19,680 --> 00:22:22,240 Speaker 9: That might be what's going on with the immaculate disinflation. 491 00:22:22,640 --> 00:22:26,040 Speaker 9: And you might say, hey, what caused this positive supply shark? 492 00:22:26,080 --> 00:22:28,280 Speaker 9: And I'm going to tell you, Lisa, I've never seen 493 00:22:28,320 --> 00:22:30,959 Speaker 9: a three year period in my entire history as an 494 00:22:30,960 --> 00:22:34,240 Speaker 9: economist in which I saw this many businesses reorganized what 495 00:22:34,280 --> 00:22:36,720 Speaker 9: they did. We really organized the economy at a really 496 00:22:36,760 --> 00:22:40,600 Speaker 9: fundamental level, everything from work from home to supply chains 497 00:22:40,640 --> 00:22:45,480 Speaker 9: to global shipping roots. And maybe just maybe that's pushed 498 00:22:45,480 --> 00:22:50,000 Speaker 9: back the frontier of what's possible. And I'm optimistic that's possible. 499 00:22:50,000 --> 00:22:53,000 Speaker 9: But I think, perhaps more interestingly for your viewers, I'm 500 00:22:53,000 --> 00:22:55,160 Speaker 9: definitely hearing a. 501 00:22:55,240 --> 00:22:57,359 Speaker 10: Sense from j. Powell and the FED that they're starting 502 00:22:57,359 --> 00:22:58,919 Speaker 10: to believe that maybe is what's happened? 503 00:22:59,320 --> 00:23:00,440 Speaker 1: Are you going to be shocking today? 504 00:23:00,520 --> 00:23:03,840 Speaker 10: Justin, Well, I've got a phone and I've got two 505 00:23:03,880 --> 00:23:07,840 Speaker 10: thumbs and really big wish lists. 506 00:23:07,880 --> 00:23:11,160 Speaker 1: I sure well, good luck with all of that. Justin Wolfers, 507 00:23:11,200 --> 00:23:13,160 Speaker 1: come back again. We love having you on. 508 00:23:13,680 --> 00:23:16,080 Speaker 2: Justin Wolfers of the University of Michigan. Thank you, and 509 00:23:16,119 --> 00:23:25,280 Speaker 2: I have a wonderful holiday. 510 00:23:27,640 --> 00:23:28,720 Speaker 1: Talking about take profits. 511 00:23:28,720 --> 00:23:31,000 Speaker 2: This is really an exciting conversation for me because I 512 00:23:31,040 --> 00:23:32,640 Speaker 2: have been on a kick that if you don't spend 513 00:23:32,640 --> 00:23:34,520 Speaker 2: your points now, you're going to lose them. And we've 514 00:23:34,560 --> 00:23:37,800 Speaker 2: been point savers very much so when it comes to airlines, 515 00:23:37,800 --> 00:23:39,520 Speaker 2: when it comes to hotels, you save them and you 516 00:23:39,560 --> 00:23:41,600 Speaker 2: save me save them and it feels good, but it 517 00:23:41,600 --> 00:23:44,120 Speaker 2: doesn't really. Brian Kelly is here to explain why it's 518 00:23:44,160 --> 00:23:45,960 Speaker 2: a terrible idea to do what I have done for 519 00:23:46,040 --> 00:23:48,800 Speaker 2: so long, founder of the Points Guy. Let's talk about 520 00:23:48,800 --> 00:23:50,560 Speaker 2: points inflation. How real is it? 521 00:23:51,600 --> 00:23:54,240 Speaker 11: Well, Lisa, you're not a point saver, You're a points hoarder, 522 00:23:54,320 --> 00:23:56,720 Speaker 11: and so many Americans are as well. You know, we 523 00:23:56,800 --> 00:23:59,520 Speaker 11: get anxiety when it comes time to redeem them. It 524 00:23:59,560 --> 00:24:01,600 Speaker 11: looks really nice to have a lot of points. But here, 525 00:24:01,720 --> 00:24:05,800 Speaker 11: listen to me. Everyone out there, use your points. You know, 526 00:24:05,960 --> 00:24:08,800 Speaker 11: the airlines have officially become banks. You know, a lot 527 00:24:08,800 --> 00:24:12,240 Speaker 11: of airlines are making more money selling their miles to 528 00:24:12,240 --> 00:24:15,680 Speaker 11: credit card companies than they are by flying planes, which 529 00:24:15,720 --> 00:24:18,359 Speaker 11: means there's more and more miles in the ecosystem and 530 00:24:18,480 --> 00:24:21,000 Speaker 11: the amount of miles it takes to travel is real. 531 00:24:21,119 --> 00:24:24,760 Speaker 11: In fact, Southwest Airlines just announce in twenty twenty four 532 00:24:25,080 --> 00:24:27,159 Speaker 11: their points are going to be worth less when you 533 00:24:27,200 --> 00:24:31,080 Speaker 11: redeem them. So key message, use your points. Now, take 534 00:24:31,119 --> 00:24:33,520 Speaker 11: that cold tart cash that you would have spent on 535 00:24:33,640 --> 00:24:36,040 Speaker 11: the travel and put it towards other things. 536 00:24:36,119 --> 00:24:38,119 Speaker 1: I feel like I have to do some kind of Hi. 537 00:24:38,280 --> 00:24:40,680 Speaker 2: My name is Lisa Brownwitz, and I'm a points order. 538 00:24:40,880 --> 00:24:44,119 Speaker 2: I have a right to improve my standing in the world. Brian, 539 00:24:44,320 --> 00:24:47,520 Speaker 2: how much you seeing companies have to offer perks have 540 00:24:47,640 --> 00:24:51,119 Speaker 2: to offer something to really induce customers to come in, 541 00:24:51,240 --> 00:24:53,920 Speaker 2: especially as you're starting to see discounts to airline prices 542 00:24:53,960 --> 00:24:54,960 Speaker 2: and hotel prices. 543 00:24:55,880 --> 00:24:59,000 Speaker 1: Given people have traveled all they want and now they're 544 00:24:59,119 --> 00:25:00,000 Speaker 1: kind of pulling back a little. 545 00:25:00,200 --> 00:25:00,240 Speaker 8: It. 546 00:25:01,240 --> 00:25:03,880 Speaker 11: Yeah, this is actually really good news for consumers because 547 00:25:03,880 --> 00:25:05,640 Speaker 11: I feel like for the last three years, every time 548 00:25:05,680 --> 00:25:07,720 Speaker 11: I came on and did segments. It was bad news, 549 00:25:07,760 --> 00:25:10,960 Speaker 11: you know, rising airfare. Airfare at one point was raising 550 00:25:11,240 --> 00:25:13,920 Speaker 11: twenty percent month over month, and we thought like six 551 00:25:14,040 --> 00:25:16,919 Speaker 11: or seven percent inflation was bad. So travelers have been 552 00:25:17,000 --> 00:25:20,120 Speaker 11: hit the hardest. Finally we're seeing a reprieve in those fares, 553 00:25:20,440 --> 00:25:23,840 Speaker 11: and the airlines getting hit the worst are the budget 554 00:25:24,119 --> 00:25:27,760 Speaker 11: you know, domestic carriers, because there's still huge. 555 00:25:27,440 --> 00:25:28,600 Speaker 5: Demand for international. 556 00:25:28,680 --> 00:25:31,760 Speaker 11: International airfares, especially in business and first class are through 557 00:25:31,800 --> 00:25:35,480 Speaker 11: the roof. It's domestically where people or where the airlines 558 00:25:35,680 --> 00:25:37,760 Speaker 11: are having trouble, and we're seeing you know, one hundred 559 00:25:37,760 --> 00:25:42,280 Speaker 11: and eleven dollar fares to Puerto Rico this winter, you know, 560 00:25:42,320 --> 00:25:45,080 Speaker 11: sixty nine dollars to Miami. You know two years ago 561 00:25:45,119 --> 00:25:47,600 Speaker 11: you couldn't fathom sixty nine dollars to go to Miami. 562 00:25:47,640 --> 00:25:49,560 Speaker 11: It was, you know, as you know, one of the 563 00:25:49,600 --> 00:25:52,480 Speaker 11: top places to go. So there are good deals out 564 00:25:52,480 --> 00:25:53,680 Speaker 11: there for consumers right now. 565 00:25:54,440 --> 00:25:57,080 Speaker 8: Brian, can you talk a little bit beyond airlines? Where 566 00:25:57,240 --> 00:26:00,280 Speaker 8: are you seeing the greatest points deflation? I guess these 567 00:26:00,320 --> 00:26:04,800 Speaker 8: points give you no benefit over time to hoard. Is 568 00:26:04,800 --> 00:26:07,760 Speaker 8: it beyond airlines? Is it also car points? Points for 569 00:26:07,880 --> 00:26:11,400 Speaker 8: car rentals, points for hotels, and are there differences between 570 00:26:11,440 --> 00:26:12,080 Speaker 8: those sectors. 571 00:26:12,880 --> 00:26:16,120 Speaker 11: Yeah, so let me car rental programs are pretty much useless. 572 00:26:16,560 --> 00:26:18,879 Speaker 11: There's been so much consolidation there. There's only one or 573 00:26:18,920 --> 00:26:21,520 Speaker 11: two main players. You know, with car rental companies, it's 574 00:26:21,520 --> 00:26:23,800 Speaker 11: more about the perks and getting elite status. So if 575 00:26:23,800 --> 00:26:27,080 Speaker 11: you've got an AMX Platinum card, you may get elite 576 00:26:27,119 --> 00:26:31,040 Speaker 11: status with you know, National or Hurts. So that's really 577 00:26:31,080 --> 00:26:33,239 Speaker 11: where I would say, you know, booking directly with car 578 00:26:33,280 --> 00:26:36,280 Speaker 11: rental companies, it's all about recognition, not waiting. In that line, 579 00:26:36,400 --> 00:26:40,080 Speaker 11: the points are pretty meaningless. Hotels are actually pretty valuable. 580 00:26:40,119 --> 00:26:42,760 Speaker 11: I would say World of Hyatt just one best loyalty 581 00:26:42,800 --> 00:26:46,040 Speaker 11: program at the point. Sky Awards. Hyatt's a great program. 582 00:26:46,040 --> 00:26:49,000 Speaker 11: They've been acquiring more hotels and they are a transfer 583 00:26:49,040 --> 00:26:52,040 Speaker 11: partner of Chase. That's the program that I like using 584 00:26:52,040 --> 00:26:54,000 Speaker 11: the most. You can easily get two or three cents 585 00:26:54,040 --> 00:26:57,400 Speaker 11: per point and value. Butt An Area and Hilton are 586 00:26:57,400 --> 00:27:00,560 Speaker 11: also pretty good programs. But here's my key tip when 587 00:27:00,600 --> 00:27:03,080 Speaker 11: it comes to loyalty. Don't be loyal to a hotel 588 00:27:03,280 --> 00:27:06,080 Speaker 11: or an airline. Be loyal to a credit card. The 589 00:27:06,119 --> 00:27:08,239 Speaker 11: credit card companies are where it's at because you can 590 00:27:08,280 --> 00:27:11,800 Speaker 11: accrue points and amex, Chase or built and then you 591 00:27:11,880 --> 00:27:14,280 Speaker 11: transfer them to a number of different partners. And this 592 00:27:14,320 --> 00:27:16,920 Speaker 11: allows you to not just bank with one airline or hotel. 593 00:27:17,240 --> 00:27:19,119 Speaker 11: It gives you a lot of different options when it 594 00:27:19,119 --> 00:27:20,120 Speaker 11: comes time to redeem. 595 00:27:20,560 --> 00:27:23,040 Speaker 8: What about the credit cards that aren't giving you points 596 00:27:23,080 --> 00:27:27,000 Speaker 8: necessarily to spend on travel, But for instance Amazon's credit 597 00:27:27,040 --> 00:27:30,520 Speaker 8: card which gives you credits to spend back at Amazon, 598 00:27:30,800 --> 00:27:33,199 Speaker 8: or other credit card companies that give you points to 599 00:27:33,240 --> 00:27:36,920 Speaker 8: spend at retail how should you be approaching those points systems? 600 00:27:37,560 --> 00:27:40,320 Speaker 11: Yeah, if you want cash back, I recommend just getting 601 00:27:40,359 --> 00:27:42,480 Speaker 11: a straight up cash back card. You know, the City 602 00:27:42,520 --> 00:27:45,800 Speaker 11: double Cash basically gives two percent back, no annual fee. 603 00:27:45,840 --> 00:27:48,720 Speaker 11: That's the gold standard. So instead of getting with one 604 00:27:48,800 --> 00:27:52,520 Speaker 11: retailer that might have some wonky earning. And the Amazon 605 00:27:52,560 --> 00:27:54,679 Speaker 11: card is pretty good actually for those who shop a 606 00:27:54,680 --> 00:27:58,159 Speaker 11: lot at Amazon. But instead of just banking with one retailer, 607 00:27:58,720 --> 00:28:01,919 Speaker 11: get an over a cash back card that gives you 608 00:28:01,960 --> 00:28:04,280 Speaker 11: flexibility because if you get cold, hard cash, you can 609 00:28:04,400 --> 00:28:07,440 Speaker 11: use it if you want travel or on anything else. 610 00:28:07,600 --> 00:28:09,160 Speaker 5: Versus with just one retailer. 611 00:28:09,440 --> 00:28:12,959 Speaker 2: It strikes me that why should any company, why should 612 00:28:13,080 --> 00:28:16,600 Speaker 2: a delta United American try to cater to their loyal clients. 613 00:28:16,720 --> 00:28:18,760 Speaker 2: If this really is the business model, if it's really 614 00:28:18,920 --> 00:28:23,080 Speaker 2: just about them being an arm, a loyalty arms tied 615 00:28:23,119 --> 00:28:26,880 Speaker 2: to a credit card company, well. 616 00:28:26,680 --> 00:28:27,159 Speaker 5: Think about it. 617 00:28:27,200 --> 00:28:28,960 Speaker 11: You might only fly a couple times a year, but 618 00:28:28,960 --> 00:28:31,560 Speaker 11: you're using your co branded credit card every single day. 619 00:28:31,720 --> 00:28:32,680 Speaker 5: And that's where I think. 620 00:28:32,720 --> 00:28:36,240 Speaker 11: Delta, in their recent earnings said one percent of total 621 00:28:36,760 --> 00:28:40,800 Speaker 11: GDP spend in America's on a Delta co branded AMEX card. 622 00:28:41,080 --> 00:28:43,920 Speaker 11: So think about that, even that infrequent traveler, Delta's earning 623 00:28:43,960 --> 00:28:45,960 Speaker 11: money when you go to the grocery store, when you 624 00:28:46,000 --> 00:28:48,960 Speaker 11: pay for all your expenses in your life. So it's 625 00:28:48,960 --> 00:28:51,760 Speaker 11: a brilliant business model to bring people in, to give 626 00:28:51,800 --> 00:28:54,040 Speaker 11: them these points, and then encourage them to fly on 627 00:28:54,120 --> 00:28:58,480 Speaker 11: the airline, letting them board early. So I will just say, 628 00:28:58,520 --> 00:29:01,720 Speaker 11: while there's been devalue euation and currencies, it costs more 629 00:29:01,760 --> 00:29:05,200 Speaker 11: miles than ever before, you could also earn more miles, 630 00:29:05,280 --> 00:29:07,760 Speaker 11: you know, and the US is very particular. You can 631 00:29:07,800 --> 00:29:10,840 Speaker 11: get one hundred thousand points sign up bonuses earning four 632 00:29:11,080 --> 00:29:15,200 Speaker 11: x five x in certain categories. So not all is lost. 633 00:29:15,320 --> 00:29:17,360 Speaker 11: You just got to play the game correctly and use 634 00:29:17,400 --> 00:29:19,640 Speaker 11: the credit cards that reward you where you're spending the 635 00:29:19,640 --> 00:29:20,200 Speaker 11: most money. 636 00:29:20,320 --> 00:29:24,120 Speaker 2: What's the most extravagant trip you've ever taken using only points? 637 00:29:24,760 --> 00:29:26,040 Speaker 7: Oh? 638 00:29:26,120 --> 00:29:28,880 Speaker 11: Well, I do love ems emrits first class on the 639 00:29:28,880 --> 00:29:31,680 Speaker 11: eight three eighties and iconic experience. I took my parents 640 00:29:31,760 --> 00:29:34,640 Speaker 11: on an around the world trip and you know, they've 641 00:29:34,640 --> 00:29:37,040 Speaker 11: got a big on board on board bar, and my 642 00:29:37,120 --> 00:29:39,240 Speaker 11: dad and I were drinking I think three hundred dollars 643 00:29:39,560 --> 00:29:39,960 Speaker 11: a goal. 644 00:29:40,600 --> 00:29:43,120 Speaker 8: Okay, Brian is we flew over. 645 00:29:43,000 --> 00:29:46,280 Speaker 11: The Pimalayas and it was like two hundred bucks out 646 00:29:46,280 --> 00:29:48,080 Speaker 11: of pocket and taxes and fees. It was we were 647 00:29:48,080 --> 00:29:50,320 Speaker 11: getting that first class experience cheaper than what people paid 648 00:29:50,320 --> 00:29:50,680 Speaker 11: in coach. 649 00:29:50,760 --> 00:29:52,760 Speaker 5: And that's why I love points. 650 00:29:52,360 --> 00:29:54,680 Speaker 1: All right, Kelly, founder of the Points Guy. We all 651 00:29:54,720 --> 00:29:55,400 Speaker 1: aspired to be you. 652 00:29:55,440 --> 00:29:57,720 Speaker 2: Brian, thank you so much for being with us, flying 653 00:29:57,760 --> 00:30:01,240 Speaker 2: around the world with his parents drinking three hundred dollars. 654 00:30:02,200 --> 00:30:03,000 Speaker 1: Commemorates air. 655 00:30:03,280 --> 00:30:06,720 Speaker 2: Subscribe to the Bloomberg Surveillance podcast on Apple, Spotify, and 656 00:30:06,760 --> 00:30:10,200 Speaker 2: anywhere else you get your podcasts. Listen live every weekday 657 00:30:10,240 --> 00:30:12,800 Speaker 2: starting at seven am Eastern on Bloomberg dot Com, the 658 00:30:12,880 --> 00:30:15,120 Speaker 2: iHeartRadio app Tune In, and the. 659 00:30:15,080 --> 00:30:16,240 Speaker 1: Bloomberg Business app. 660 00:30:16,520 --> 00:30:19,840 Speaker 2: You can watch us live on Bloomberg Television and always 661 00:30:19,920 --> 00:30:23,320 Speaker 2: on the Bloomberg Terminal. Thanks for listening. I'm Lisa Abramowitz, 662 00:30:23,360 --> 00:30:24,400 Speaker 2: and this is Bloomberg