1 00:00:00,080 --> 00:00:04,960 Speaker 1: Now Expedia CEO Peter Ker, And Peter, we do have 2 00:00:05,000 --> 00:00:08,440 Speaker 1: to start with the reaction. The stock is down seventeen percent. 3 00:00:09,520 --> 00:00:12,799 Speaker 1: Is the concern from the market justified about the growth 4 00:00:12,840 --> 00:00:14,160 Speaker 1: trajectory of your company? 5 00:00:15,280 --> 00:00:16,200 Speaker 2: No, absolutely not. 6 00:00:16,320 --> 00:00:18,560 Speaker 3: I mean we basically delivered what we told the market 7 00:00:18,600 --> 00:00:20,959 Speaker 3: we were going to deliver, and in the quarter, you know, 8 00:00:21,120 --> 00:00:23,800 Speaker 3: just past the quarter, we launched our new big rewards program, 9 00:00:23,840 --> 00:00:28,280 Speaker 3: We've made huge technical advancements, and we reaffirmed our yearly guidance. 10 00:00:28,360 --> 00:00:31,080 Speaker 3: So not sure what the market was looking for. Maybe 11 00:00:31,080 --> 00:00:34,080 Speaker 3: they're looking for concerns about the consumer, but basically we 12 00:00:34,120 --> 00:00:37,000 Speaker 3: were on our plan and really excited about the back 13 00:00:37,000 --> 00:00:38,640 Speaker 3: half of the year. So we were you know, other 14 00:00:38,680 --> 00:00:41,240 Speaker 3: than the chart you have buying me, we're very excited 15 00:00:41,240 --> 00:00:42,040 Speaker 3: about where we are. 16 00:00:42,560 --> 00:00:46,280 Speaker 1: So, Peter, what's the story, you know, how do you 17 00:00:46,400 --> 00:00:49,800 Speaker 1: see this travel season having played out? And what are 18 00:00:49,840 --> 00:00:52,680 Speaker 1: your signs into the rest of the year about bookings 19 00:00:52,960 --> 00:00:55,120 Speaker 1: and the health of the consumer, because it is what 20 00:00:55,160 --> 00:00:57,400 Speaker 1: the stream wants to know about, as you note. 21 00:00:57,360 --> 00:01:00,000 Speaker 3: Yeah, yeah, absolutely, no, I mean when we look ahead 22 00:01:00,080 --> 00:01:02,840 Speaker 3: at our pacings for the year up versus last year 23 00:01:02,880 --> 00:01:08,119 Speaker 3: and prior periods, all prior periods basically we've had you know, 24 00:01:08,400 --> 00:01:12,679 Speaker 3: very good there's been very high interest in international travel. 25 00:01:12,680 --> 00:01:15,039 Speaker 3: What you've seen is the travelers moving around a bit. 26 00:01:15,120 --> 00:01:17,760 Speaker 3: So you see pockets that might be retreating a little bit, 27 00:01:17,800 --> 00:01:21,240 Speaker 3: but other pockets advancing. So Asia is very strong, Latin 28 00:01:21,240 --> 00:01:25,640 Speaker 3: America is very strong. The West US, North America, and 29 00:01:25,959 --> 00:01:28,880 Speaker 3: Western Europe you know, have slowed somewhat, but they've been stable. 30 00:01:29,560 --> 00:01:32,520 Speaker 3: So basically customers are moving around. Cities are very popular, 31 00:01:32,520 --> 00:01:36,760 Speaker 3: International cities are very popular. International travel has definitely equipsed 32 00:01:36,959 --> 00:01:39,440 Speaker 3: domestic in the rebound. Again, it's sort of this COVID 33 00:01:39,520 --> 00:01:42,840 Speaker 3: unroll that we've seen again and again. People go where 34 00:01:42,840 --> 00:01:44,720 Speaker 3: the next thing opens up or where they haven't been 35 00:01:44,760 --> 00:01:45,200 Speaker 3: able to go. 36 00:01:45,319 --> 00:01:46,600 Speaker 2: So domestic was very. 37 00:01:46,440 --> 00:01:49,880 Speaker 3: Big, then international got big. Now Asia's coming up because 38 00:01:49,880 --> 00:01:52,760 Speaker 3: Asia is opening up. So we see it in waves, 39 00:01:52,840 --> 00:01:54,840 Speaker 3: and you know, as we look out, the consumer is 40 00:01:54,920 --> 00:01:58,520 Speaker 3: very strong in travel. Demand remains high. There's not much 41 00:01:58,560 --> 00:02:03,760 Speaker 3: evidence of really at all of ADRs. You know, pricing dropping, Yes, 42 00:02:03,840 --> 00:02:06,160 Speaker 3: you can find that domestic air in North America the 43 00:02:06,160 --> 00:02:09,400 Speaker 3: prices have come down a little, but in international. 44 00:02:08,720 --> 00:02:10,880 Speaker 2: Air they're still very elevated. 45 00:02:10,880 --> 00:02:15,360 Speaker 3: And international hotel hotel generally has been very stable in ADRs, 46 00:02:15,400 --> 00:02:18,480 Speaker 3: so there really isn't much evidence of a consumer lapse 47 00:02:18,480 --> 00:02:20,200 Speaker 3: here in any way. 48 00:02:20,120 --> 00:02:23,040 Speaker 1: Peter, you're joining us from London. In fact, you're sitting 49 00:02:23,080 --> 00:02:25,160 Speaker 1: in the chair that I used to sit in when 50 00:02:25,160 --> 00:02:29,359 Speaker 1: I was at QBS. It's a nice chair. Is there 51 00:02:29,440 --> 00:02:33,639 Speaker 1: a sort of differentiation between the health in different markets 52 00:02:33,639 --> 00:02:36,639 Speaker 1: of a London consumer, a European consumer, and what we're 53 00:02:36,680 --> 00:02:38,600 Speaker 1: seeing here in the United States? 54 00:02:40,240 --> 00:02:43,320 Speaker 3: Well, I think you know again you're seeing, first of all, 55 00:02:43,320 --> 00:02:44,840 Speaker 3: there's a lot of people from the United. 56 00:02:44,639 --> 00:02:45,919 Speaker 2: States in London right now. 57 00:02:45,960 --> 00:02:48,200 Speaker 3: You know, Europe has been a popular destination for North 58 00:02:48,240 --> 00:02:51,840 Speaker 3: American travelers this summer because last summer they weren't traveling 59 00:02:51,880 --> 00:02:55,200 Speaker 3: as much internationally. So now every city in Europe is 60 00:02:55,200 --> 00:02:58,840 Speaker 3: full of Americans, and likewise, European travelers are traveling to 61 00:02:58,880 --> 00:03:01,520 Speaker 3: other international cities. So you're seeing a lot of that. 62 00:03:01,880 --> 00:03:04,400 Speaker 3: But the health of the consumer is strong. You know, 63 00:03:04,680 --> 00:03:07,000 Speaker 3: we still haven't really seen it even at the lower ends. 64 00:03:07,000 --> 00:03:09,280 Speaker 3: It doesn't mean there isn't you know, you can't find 65 00:03:09,320 --> 00:03:12,360 Speaker 3: a pocket of a city or a destination that's slightly 66 00:03:12,400 --> 00:03:17,840 Speaker 3: lower for example, mountain destinations beach destinations are slightly less 67 00:03:17,840 --> 00:03:21,480 Speaker 3: popular this year in favor of big international cities. But 68 00:03:21,520 --> 00:03:24,919 Speaker 3: it doesn't mean that travelers less willing to travel or spend. 69 00:03:25,000 --> 00:03:27,320 Speaker 3: It just means they're moving their dollars around and that 70 00:03:27,360 --> 00:03:30,120 Speaker 3: creates small pockets that might you know, where you might 71 00:03:30,160 --> 00:03:34,160 Speaker 3: see some reduced interest, but that's from super high elevated 72 00:03:34,200 --> 00:03:37,080 Speaker 3: interest across most of these markets. So this is you know, 73 00:03:37,120 --> 00:03:40,000 Speaker 3: a slight taming and a few spots and strength and 74 00:03:40,080 --> 00:03:41,480 Speaker 3: other spots that make up for it. 75 00:03:42,800 --> 00:03:47,320 Speaker 1: You've been doing some investment in technology, technological streamlining behind 76 00:03:47,320 --> 00:03:49,920 Speaker 1: the scenes, or the sort of loyalty and rewards program. 77 00:03:50,560 --> 00:03:53,320 Speaker 1: How do you see that driving your business in the 78 00:03:53,360 --> 00:03:54,960 Speaker 1: near term but also longer term as well. 79 00:03:56,000 --> 00:03:58,120 Speaker 2: Yeah, it's a huge investment for us. 80 00:03:58,160 --> 00:03:59,640 Speaker 3: I mean, first of all, we've invested over the last 81 00:03:59,640 --> 00:04:02,880 Speaker 3: few years in a huge technological transformation to bring all 82 00:04:02,960 --> 00:04:06,480 Speaker 3: our stacks together, all our brands together on one technology 83 00:04:06,520 --> 00:04:09,160 Speaker 3: so we could go faster, innovate faster for the consumer, 84 00:04:09,680 --> 00:04:12,480 Speaker 3: and really our loyalty. Our new loyalty rollout of one 85 00:04:12,520 --> 00:04:15,160 Speaker 3: Key is a great example of all of that coming together, 86 00:04:15,200 --> 00:04:17,640 Speaker 3: where now our big three brands will be under one 87 00:04:17,680 --> 00:04:21,599 Speaker 3: loyalty program, so Expedia, Hotels, dot Com and Verbo people 88 00:04:21,600 --> 00:04:24,599 Speaker 3: can earn rewards, which is basically like money, spend it 89 00:04:24,640 --> 00:04:27,039 Speaker 3: on any product they want across all of those brands, 90 00:04:27,760 --> 00:04:30,760 Speaker 3: and it's it's the culmination of a bunch of work 91 00:04:30,800 --> 00:04:33,200 Speaker 3: that's been going on for more than two years to 92 00:04:33,320 --> 00:04:36,520 Speaker 3: really change our future. And our idea is a simple one, 93 00:04:36,520 --> 00:04:38,080 Speaker 3: which is we want to build the best products that 94 00:04:38,160 --> 00:04:41,160 Speaker 3: consumers are loyal to get them into our loyalty plans, 95 00:04:41,200 --> 00:04:43,560 Speaker 3: get them into our app where they can have the 96 00:04:43,560 --> 00:04:46,520 Speaker 3: best experience, see the most discounts, the most rewards for 97 00:04:46,560 --> 00:04:49,400 Speaker 3: their travel, and that that will create a sticky relationship 98 00:04:49,400 --> 00:04:51,560 Speaker 3: with our consumers and they'll come back direct to us. 99 00:04:51,600 --> 00:04:53,719 Speaker 3: And we've seen it again and again in every industry. 100 00:04:54,000 --> 00:04:56,599 Speaker 3: We think there's huge opportunity for innovation and travel and 101 00:04:56,640 --> 00:04:59,080 Speaker 3: we think we're doing the most with technology with AI 102 00:04:59,160 --> 00:05:02,240 Speaker 3: and machine learning to personalize and all of those pieces 103 00:05:02,320 --> 00:05:05,200 Speaker 3: to really create the next step forward. You know, we 104 00:05:05,240 --> 00:05:08,719 Speaker 3: invented the category and we're trying to reinvent the category 105 00:05:08,760 --> 00:05:11,960 Speaker 3: for the next you know, decade or two with new product, 106 00:05:12,880 --> 00:05:17,200 Speaker 3: better consumer proposition, and really a much stickier, less just 107 00:05:17,279 --> 00:05:20,320 Speaker 3: transactional kind of product that travel used to be. 108 00:05:21,320 --> 00:05:23,920 Speaker 1: So bear with me on this one, but in metas earnings. 109 00:05:24,279 --> 00:05:30,000 Speaker 1: We saw evidence that AI recommendations boosted their AD sales. 110 00:05:30,080 --> 00:05:33,640 Speaker 1: As an example, give me some tangible examples of how 111 00:05:33,760 --> 00:05:37,320 Speaker 1: artificial intelligence aids the consumer on your platform but also 112 00:05:37,360 --> 00:05:38,640 Speaker 1: just helps you guys make more money. 113 00:05:39,960 --> 00:05:42,680 Speaker 3: Yeah, so we use it really everywhere we can, and 114 00:05:42,680 --> 00:05:45,640 Speaker 3: that doesn't mean everywhere yet, but throughout the product from 115 00:05:45,680 --> 00:05:49,360 Speaker 3: everything from optimizing the pictures you see. You know, you 116 00:05:49,440 --> 00:05:52,160 Speaker 3: might be traveling with a family or kids and we 117 00:05:52,240 --> 00:05:54,880 Speaker 3: will show you pools, or maybe you're traveling by yourself 118 00:05:54,960 --> 00:05:57,240 Speaker 3: or a couple and we might show you bars or 119 00:05:57,320 --> 00:06:00,000 Speaker 3: rooms or other things like we optimize that, we opt 120 00:06:00,000 --> 00:06:04,559 Speaker 3: deze how you search. We use machine learning to better 121 00:06:04,640 --> 00:06:06,599 Speaker 3: move the pieces around the page so you're seeing the 122 00:06:06,640 --> 00:06:09,160 Speaker 3: things that are most relevant to you these most easily, 123 00:06:09,360 --> 00:06:12,800 Speaker 3: or to simplify how you shop, so you might know 124 00:06:12,880 --> 00:06:15,839 Speaker 3: that some rooms are called the Queen size Superior, some 125 00:06:16,000 --> 00:06:16,799 Speaker 3: rooms are called. 126 00:06:16,600 --> 00:06:18,120 Speaker 2: The King size, some of the city view. 127 00:06:18,480 --> 00:06:20,240 Speaker 3: You know, we've done all the work to compare all 128 00:06:20,279 --> 00:06:22,160 Speaker 3: those things so that you can easily see them side 129 00:06:22,200 --> 00:06:26,120 Speaker 3: by side and understand, you know, using AI in m 130 00:06:26,160 --> 00:06:28,839 Speaker 3: O understand what the options really mean and what the 131 00:06:28,839 --> 00:06:32,479 Speaker 3: differences are. So we're using it in all kinds of 132 00:06:32,560 --> 00:06:36,280 Speaker 3: simple and elevated ways. We've also put shat GPT into 133 00:06:36,279 --> 00:06:38,920 Speaker 3: our iOS app. We just launched it in our Android app. 134 00:06:39,120 --> 00:06:41,320 Speaker 3: So we're giving people that utility if they want to 135 00:06:41,400 --> 00:06:43,880 Speaker 3: use it for discovery, and then we save products that 136 00:06:43,920 --> 00:06:46,200 Speaker 3: they've looked at and they can go compare them later. 137 00:06:46,560 --> 00:06:48,720 Speaker 3: So there's lots of places we use it, but some 138 00:06:48,760 --> 00:06:51,400 Speaker 3: of them are quite simple and straightforward, you know, personalized 139 00:06:51,400 --> 00:06:53,440 Speaker 3: search and other things, and some of them are the 140 00:06:53,520 --> 00:06:56,760 Speaker 3: latest large language models and all of those opportunities that 141 00:06:56,800 --> 00:06:57,720 Speaker 3: are still ahead of us. 142 00:06:58,720 --> 00:07:01,360 Speaker 1: All right, Expediacy op de Kurn, thank you so much 143 00:07:01,400 --> 00:07:01,880 Speaker 1: for your time