1 00:00:06,040 --> 00:00:08,119 Speaker 1: Welcome to Fear and Greed Q and A, where we 2 00:00:08,160 --> 00:00:11,920 Speaker 1: ask an answer questions about business, investing, economics, politics and more. 3 00:00:11,960 --> 00:00:15,680 Speaker 1: I'm Michael Thompson and Black Friday and Cyber Monday have 4 00:00:16,320 --> 00:00:19,400 Speaker 1: very much muscled their way into the Australian retail calendar, 5 00:00:19,440 --> 00:00:23,439 Speaker 1: becoming what is now the biggest retail event of the year, 6 00:00:23,480 --> 00:00:25,680 Speaker 1: and in doing so, it's really shifted the focus from 7 00:00:25,720 --> 00:00:28,639 Speaker 1: a month long retail build up to Christmas to a 8 00:00:28,840 --> 00:00:31,600 Speaker 1: really intense week or so where there's an enormous amount 9 00:00:31,640 --> 00:00:34,360 Speaker 1: of pressure on businesses and staff to deliver a seamless, 10 00:00:35,200 --> 00:00:39,320 Speaker 1: very efficient shopping experience for customers. And for so many businesses, 11 00:00:39,360 --> 00:00:42,600 Speaker 1: both big and small, the online component of what they 12 00:00:42,640 --> 00:00:46,519 Speaker 1: offer has become critical. My guest today is Carl Durrance, 13 00:00:46,560 --> 00:00:49,199 Speaker 1: who is the managing director Australia and New Zealand, a 14 00:00:49,240 --> 00:00:52,840 Speaker 1: payments platform Stripe, which is a supporter of this podcast. Carl, 15 00:00:53,000 --> 00:00:54,640 Speaker 1: Welcome back to Fear and Greed Q and A. 16 00:00:54,800 --> 00:00:56,520 Speaker 2: It's great to be here. Thanks for having me again. 17 00:00:56,760 --> 00:01:00,560 Speaker 1: How did we get here right? Because Black Friday Cyber 18 00:01:00,640 --> 00:01:05,040 Speaker 1: Monday have not always been on the retail calendar, yet 19 00:01:05,080 --> 00:01:08,360 Speaker 1: it managed to get so big so quickly. To the 20 00:01:08,360 --> 00:01:11,360 Speaker 1: point that it's actually shifted the focus for retailers. 21 00:01:11,560 --> 00:01:13,560 Speaker 3: Yeah, I mean I think it's a relatively new thing 22 00:01:13,720 --> 00:01:16,319 Speaker 3: in this market here in Australia. It's gone back many 23 00:01:16,319 --> 00:01:19,560 Speaker 3: many years. In the US, Black Friday started in the 24 00:01:19,680 --> 00:01:23,640 Speaker 3: sixties and is aligned to the Thanksgiving holiday, and classically 25 00:01:23,640 --> 00:01:26,280 Speaker 3: what would happen is people would have Thanksgiving off, they 26 00:01:26,360 --> 00:01:29,680 Speaker 3: do a bunch of shopping the day after. Cyber Monday 27 00:01:29,760 --> 00:01:32,160 Speaker 3: was introduced in the US about twenty years ago in 28 00:01:32,240 --> 00:01:34,880 Speaker 3: order to incent a degree of online shopping. 29 00:01:35,240 --> 00:01:35,839 Speaker 2: But you're right. 30 00:01:36,160 --> 00:01:38,720 Speaker 3: With respect to Australia and New Zealand, I'd say it's 31 00:01:38,920 --> 00:01:41,759 Speaker 3: probably only really picked up in the last maybe five 32 00:01:41,840 --> 00:01:45,640 Speaker 3: plus years. And I mean it's huge, the transaction volumes 33 00:01:45,640 --> 00:01:49,360 Speaker 3: that we're seeing, the amount that Australian retailers are driving. 34 00:01:49,800 --> 00:01:51,280 Speaker 3: It's pretty phenomenal. 35 00:01:51,160 --> 00:01:55,480 Speaker 1: Internationally because Strip is obviously a big global player. How 36 00:01:55,520 --> 00:01:58,120 Speaker 1: big was Black Friday? Cyber Monday? And do I have 37 00:01:58,160 --> 00:01:59,480 Speaker 1: to call it b FCM? 38 00:01:59,600 --> 00:01:59,880 Speaker 2: Is it? 39 00:02:00,440 --> 00:02:02,520 Speaker 1: I've got a bit of an allergy to acronyms. 40 00:02:02,560 --> 00:02:04,200 Speaker 2: No, No, we don't have to call it that today. 41 00:02:04,960 --> 00:02:08,560 Speaker 3: So it's still going right now, So there's still a 42 00:02:08,600 --> 00:02:11,760 Speaker 3: few more hours to go. In the US, but right 43 00:02:11,800 --> 00:02:15,160 Speaker 3: now we've just crossed thirty five billion dollars of transaction 44 00:02:15,240 --> 00:02:19,080 Speaker 3: volume on the Stripe Network across the sales season. I 45 00:02:19,080 --> 00:02:22,160 Speaker 3: think what's interesting though, is when you measure Black Friday 46 00:02:22,200 --> 00:02:24,960 Speaker 3: Cyber Monday classically in the US, it really is concentrated 47 00:02:24,960 --> 00:02:28,240 Speaker 3: into those two days. It elongates a little, but here 48 00:02:28,320 --> 00:02:31,000 Speaker 3: because we don't have the Thanksgiving holiday, it's become almost 49 00:02:31,400 --> 00:02:34,880 Speaker 3: a month long sales season. But what that means is 50 00:02:34,919 --> 00:02:37,960 Speaker 3: there's a huge amount of concentration of growth in that period. 51 00:02:38,000 --> 00:02:40,600 Speaker 3: So we see some retailers in this part of the 52 00:02:40,600 --> 00:02:44,040 Speaker 3: world doing twenty to thirty percent of their annual transaction 53 00:02:44,160 --> 00:02:47,079 Speaker 3: volume just in Black Friday Cyber Monday. So it's an 54 00:02:47,080 --> 00:02:50,440 Speaker 3: incredible moment in time for retailers to drive growth. 55 00:02:50,760 --> 00:02:54,800 Speaker 1: That is extraordinary. And you have so much data as well, 56 00:02:54,840 --> 00:02:57,440 Speaker 1: which I have been pouring over that over the last 57 00:02:57,520 --> 00:03:01,640 Speaker 1: few days, just watching the transaction value, ticking over anything 58 00:03:01,639 --> 00:03:03,480 Speaker 1: that you've seen that affects the local markets. 59 00:03:04,160 --> 00:03:08,880 Speaker 3: Yes, so interestingly, when it comes to the currencies being 60 00:03:08,919 --> 00:03:12,000 Speaker 3: transacted on the Stripe Network during this sale season, we've 61 00:03:12,040 --> 00:03:15,880 Speaker 3: seen the Australian dollar be the fourth biggest currency globally, 62 00:03:15,960 --> 00:03:18,960 Speaker 3: so only behind the US dollar, the British pound, the 63 00:03:18,960 --> 00:03:22,640 Speaker 3: euro and then Australia as being fourth, and that's a 64 00:03:22,800 --> 00:03:25,720 Speaker 3: relative proxy for the amount that consumers in this market 65 00:03:25,760 --> 00:03:29,000 Speaker 3: are leaning into. We also have seen that Sydney is 66 00:03:29,040 --> 00:03:33,520 Speaker 3: the ninth biggest city in the world in participation in 67 00:03:33,560 --> 00:03:36,080 Speaker 3: Black Friday Soyber Monday sales on the Stripe network. So 68 00:03:36,520 --> 00:03:39,720 Speaker 3: again you would suggest that Australians are really leaning in 69 00:03:40,280 --> 00:03:42,360 Speaker 3: to getting a great deal during this season. 70 00:03:42,520 --> 00:03:46,200 Speaker 1: Okay, in terms of it's probably worth adding a little 71 00:03:46,200 --> 00:03:50,160 Speaker 1: bit of context in terms of what Stripe is doing here, 72 00:03:50,720 --> 00:03:53,720 Speaker 1: the fact that you are partnering with everyone from kind 73 00:03:53,720 --> 00:03:57,280 Speaker 1: of Amazon through to small businesses. Right, it is really 74 00:03:57,280 --> 00:03:59,240 Speaker 1: both ends of the spectrum and everything in between. 75 00:03:59,440 --> 00:04:01,680 Speaker 3: Yeah, I mean classically in these kind of use cases, 76 00:04:01,680 --> 00:04:06,080 Speaker 3: it's the acceptance of payments online. And because such a 77 00:04:06,160 --> 00:04:09,960 Speaker 3: large proportion of annual traffic gets concentrated into this season, 78 00:04:10,520 --> 00:04:13,400 Speaker 3: you know, businesses are choosing Stripe because we just have 79 00:04:13,640 --> 00:04:16,760 Speaker 3: such high levels of availability in performance. So during Black 80 00:04:16,760 --> 00:04:20,400 Speaker 3: Friday Cyber Monday, we're very proud to be delivering over 81 00:04:20,560 --> 00:04:23,640 Speaker 3: six nines of availability, So that's ninety nine point nine 82 00:04:24,120 --> 00:04:28,839 Speaker 3: nine nine percent availability. So if you kind of work 83 00:04:28,920 --> 00:04:32,400 Speaker 3: that out, well, how available is that over an entire 84 00:04:32,480 --> 00:04:35,240 Speaker 3: month that would be degraded performance of two point six 85 00:04:35,279 --> 00:04:38,560 Speaker 3: seconds or less than one hundred milliseconds a day of 86 00:04:38,600 --> 00:04:42,120 Speaker 3: degraded performance. So it means that retailers can trust that 87 00:04:42,120 --> 00:04:44,440 Speaker 3: they can they can get the transactions when they need them. 88 00:04:44,520 --> 00:04:49,040 Speaker 1: Okay, how important is that for a retailer? But then 89 00:04:49,160 --> 00:04:51,040 Speaker 1: for the impact that it has on a consumer, because 90 00:04:51,040 --> 00:04:53,440 Speaker 1: I was curious about just how much pressure something like 91 00:04:53,480 --> 00:04:58,359 Speaker 1: Black Friday Cyber Monday puts on transactions and puts on 92 00:04:58,400 --> 00:05:00,240 Speaker 1: the infrastructure behind it where all of us and you 93 00:05:00,360 --> 00:05:02,680 Speaker 1: have got so many people rushing out there to do 94 00:05:02,720 --> 00:05:06,920 Speaker 1: their Christmas shopping early, and they are all expecting everything 95 00:05:06,960 --> 00:05:11,239 Speaker 1: to be processed instantly and smoothly, and in some cases, 96 00:05:11,839 --> 00:05:15,920 Speaker 1: speaking from experience, if something goes wrong, you just walk away. 97 00:05:16,480 --> 00:05:19,360 Speaker 1: And so it puts pressure on the retailer to nail 98 00:05:19,400 --> 00:05:22,240 Speaker 1: it and in doing so puts pressure on their partners 99 00:05:22,440 --> 00:05:23,360 Speaker 1: like Stripe totally. 100 00:05:23,400 --> 00:05:27,200 Speaker 3: I mean, the attention span during these periods is very small. 101 00:05:27,560 --> 00:05:29,840 Speaker 2: Speaking more the best of times. Yeah, it's smaller the 102 00:05:29,880 --> 00:05:30,440 Speaker 2: best of times. 103 00:05:30,480 --> 00:05:32,000 Speaker 3: But I think the way that we think about it 104 00:05:32,080 --> 00:05:34,680 Speaker 3: is actually the pressure is more on our customers on 105 00:05:34,720 --> 00:05:37,240 Speaker 3: the retailers to be available to make sure they capture 106 00:05:37,240 --> 00:05:40,599 Speaker 3: the market opportunity when it's there, and it's our responsibility 107 00:05:40,920 --> 00:05:42,960 Speaker 3: to make sure that we're able to meet that expectation. 108 00:05:43,160 --> 00:05:47,120 Speaker 3: So you're right, though, it is the hugest sales season 109 00:05:47,240 --> 00:05:50,719 Speaker 3: of the year classically. In the past, we would probably 110 00:05:50,760 --> 00:05:52,839 Speaker 3: expect that to be the post Christmas sales, but the 111 00:05:52,920 --> 00:05:55,599 Speaker 3: data shows us that the majority of sales now are 112 00:05:55,640 --> 00:05:58,080 Speaker 3: happening in November, where people are looking for great deals 113 00:05:58,120 --> 00:06:01,359 Speaker 3: for the Christmas giving season is still big, but not 114 00:06:01,440 --> 00:06:03,040 Speaker 3: as big as Black Friday, Summer Monday. 115 00:06:03,120 --> 00:06:07,760 Speaker 1: Yeah, it's extraordinary. I want to park that just for 116 00:06:07,839 --> 00:06:11,560 Speaker 1: a moment and go to the future of shopping because 117 00:06:12,040 --> 00:06:14,640 Speaker 1: Fear and Greed partnered with Stripe on the Stripe Tour 118 00:06:14,920 --> 00:06:17,680 Speaker 1: earlier this year, and so I was sitting in the 119 00:06:17,760 --> 00:06:22,680 Speaker 1: crowd watching this presentation about agentic AI and the future 120 00:06:22,760 --> 00:06:25,080 Speaker 1: of shopping and it's it's one of those things it's 121 00:06:25,080 --> 00:06:27,960 Speaker 1: almost hard to explain if you don't see it, but 122 00:06:28,440 --> 00:06:32,040 Speaker 1: the way that transactions were being processed essentially by AI 123 00:06:32,440 --> 00:06:36,000 Speaker 1: representing the shopper, this isn't representing the retailer and doing 124 00:06:36,040 --> 00:06:39,440 Speaker 1: it at the retailer's end, but actually doing the shopping 125 00:06:39,600 --> 00:06:42,080 Speaker 1: for you and comparing prices and doing all of that. 126 00:06:42,640 --> 00:06:43,480 Speaker 1: Where are we heading. 127 00:06:44,040 --> 00:06:48,000 Speaker 3: We're heading to a world where agents actually start acting 128 00:06:48,000 --> 00:06:50,720 Speaker 3: on behalf of consumers and it becomes you know, a 129 00:06:50,800 --> 00:06:54,040 Speaker 3: decent portion of transaction volume that retailers are dealing with 130 00:06:54,120 --> 00:06:57,840 Speaker 3: and consumers are authorizing. Right, So it's still early, and 131 00:06:57,920 --> 00:07:01,480 Speaker 3: we've got a global partnership with open around the Augentic 132 00:07:01,480 --> 00:07:07,039 Speaker 3: Commerce Protocol allowing basically consumers who are operating inside chat 133 00:07:07,040 --> 00:07:11,120 Speaker 3: GPT to start transacting and buying goods and services in 134 00:07:11,160 --> 00:07:14,280 Speaker 3: there autonomously. So as opposed to the classic use case 135 00:07:14,320 --> 00:07:17,600 Speaker 3: where you may ask CHATGBT to do some research, which 136 00:07:17,640 --> 00:07:21,280 Speaker 3: is excellent, what it can start doing is actually conducting 137 00:07:21,280 --> 00:07:25,320 Speaker 3: the purchase for you as well as part of that engagement. 138 00:07:25,600 --> 00:07:27,680 Speaker 3: Instead of you then having to hop out of CHATBT 139 00:07:28,160 --> 00:07:31,320 Speaker 3: into a browser, find the product and conduct the purchase, 140 00:07:31,760 --> 00:07:33,080 Speaker 3: actually it'll do it for you. 141 00:07:33,520 --> 00:07:37,120 Speaker 1: So say you were shopping and now I'm just really 142 00:07:37,200 --> 00:07:39,760 Speaker 1: curious as to how it actually plays out. If I 143 00:07:39,880 --> 00:07:43,560 Speaker 1: was to be looking for something, researching a particular product, 144 00:07:43,560 --> 00:07:45,400 Speaker 1: whereas in the past I'd go to CHATBT, I would 145 00:07:45,400 --> 00:07:48,200 Speaker 1: say look around, tell me in Sydney or in Melbourne, 146 00:07:48,200 --> 00:07:50,000 Speaker 1: where I can find the best deal on this. I 147 00:07:50,040 --> 00:07:53,240 Speaker 1: can now actually just go essentially tell it to find 148 00:07:53,240 --> 00:07:55,400 Speaker 1: the best deal and to complete the purchase and go 149 00:07:55,520 --> 00:07:59,320 Speaker 1: through it knowing that I'm looking for kind of good reviews, 150 00:08:00,120 --> 00:08:03,680 Speaker 1: best quality. I don't want to pay shipping, and it 151 00:08:03,720 --> 00:08:05,720 Speaker 1: can actually work its way through. 152 00:08:05,560 --> 00:08:09,280 Speaker 3: That process, yeah, and conduct a purchase for you with 153 00:08:09,840 --> 00:08:12,320 Speaker 3: a payment credential that you've enabled it with YEP, and 154 00:08:12,360 --> 00:08:15,480 Speaker 3: then complete the last mile fulfillment as well to make 155 00:08:15,480 --> 00:08:18,560 Speaker 3: sure that the product gets posted to you. We've got 156 00:08:19,000 --> 00:08:21,640 Speaker 3: early use cases now in the US with ets and 157 00:08:21,720 --> 00:08:24,520 Speaker 3: so it's a marketplace and so essentially in chat Chept 158 00:08:24,680 --> 00:08:26,960 Speaker 3: it will do the search. But in the fullness of time, 159 00:08:26,960 --> 00:08:30,920 Speaker 3: we're expecting many many businesses to be surfaced here where 160 00:08:30,960 --> 00:08:34,680 Speaker 3: you can start doing searches for experiences or products and 161 00:08:34,720 --> 00:08:39,079 Speaker 3: then have chat Chept complete that purchase on your behalf. 162 00:08:40,920 --> 00:08:45,000 Speaker 1: It pretty much changes the way we shop, and I'm 163 00:08:45,040 --> 00:08:49,520 Speaker 1: not unhappy about that because I find I find the 164 00:08:49,600 --> 00:08:54,280 Speaker 1: Black Friday shopping experience to be really, really stressful, where 165 00:08:54,320 --> 00:08:58,120 Speaker 1: you are trying to find a deal and the best deal, 166 00:08:58,160 --> 00:09:00,600 Speaker 1: and I find it overwhelming when everyone is offering a 167 00:09:00,640 --> 00:09:02,960 Speaker 1: deal and you're trying to calculate what is actually going 168 00:09:03,000 --> 00:09:04,920 Speaker 1: to be the best and I would just love to 169 00:09:04,920 --> 00:09:05,880 Speaker 1: be able to step back. 170 00:09:06,120 --> 00:09:09,200 Speaker 3: Yeah, imagine delegating that to an agent and saying, actually, 171 00:09:09,280 --> 00:09:12,559 Speaker 3: this is a lego set, and this is the budget, 172 00:09:12,960 --> 00:09:15,040 Speaker 3: and this is the time frame around how long it 173 00:09:15,080 --> 00:09:17,640 Speaker 3: may take to ship and go and find that deal 174 00:09:17,760 --> 00:09:21,760 Speaker 3: for me, along to those parameters. And then also imagine 175 00:09:22,160 --> 00:09:25,720 Speaker 3: a future agent that does grocery reloads for you, and 176 00:09:25,760 --> 00:09:28,000 Speaker 3: it knows how often you're buying these things, and it 177 00:09:28,080 --> 00:09:30,199 Speaker 3: just takes all that buying away so that you can 178 00:09:30,240 --> 00:09:32,520 Speaker 3: focus on things that you really want to invest in 179 00:09:32,559 --> 00:09:34,840 Speaker 3: where you get a joy of buying, but maybe the 180 00:09:34,880 --> 00:09:37,240 Speaker 3: administrative buying you can delegate to an agent. And so 181 00:09:37,559 --> 00:09:41,720 Speaker 3: there's this future where there's actually more transactions that are happening, 182 00:09:41,960 --> 00:09:43,520 Speaker 3: where you can focus on the ones that you want 183 00:09:43,559 --> 00:09:45,520 Speaker 3: to focus on and you can delegate the rest. 184 00:09:45,720 --> 00:09:49,439 Speaker 1: So when we talk about AI improving productivity, right, this 185 00:09:49,520 --> 00:09:52,480 Speaker 1: is a great example of speeding up a whole lot 186 00:09:52,520 --> 00:09:55,760 Speaker 1: of individual transactions and the research that goes into it 187 00:09:56,120 --> 00:10:00,440 Speaker 1: and making it a more smooth, seamless experience. What does 188 00:10:00,480 --> 00:10:03,560 Speaker 1: it mean for retailers then, are they going to benefit, 189 00:10:03,640 --> 00:10:07,040 Speaker 1: mostly because it will increase the speed at which that 190 00:10:07,120 --> 00:10:11,480 Speaker 1: has done and reduce the potential friction between customers and retailers. 191 00:10:11,800 --> 00:10:14,040 Speaker 3: I think there's a few things. Firstly, based on what 192 00:10:14,080 --> 00:10:15,920 Speaker 3: we're seeing in the early data, this is going to 193 00:10:15,920 --> 00:10:18,880 Speaker 3: be a net new channel of growth. It's early, but 194 00:10:19,000 --> 00:10:21,160 Speaker 3: the expectation is that it is probably not going to 195 00:10:21,160 --> 00:10:24,800 Speaker 3: replace human buying, and so there's an opportunity for a 196 00:10:24,840 --> 00:10:27,800 Speaker 3: new growth vector, which I think is interesting. I think 197 00:10:27,840 --> 00:10:32,319 Speaker 3: the way that generally online retailers dealt with bots and 198 00:10:32,559 --> 00:10:35,920 Speaker 3: the fact that non human interactions with a website does 199 00:10:36,000 --> 00:10:39,320 Speaker 3: need to change because historically that's been associated with some 200 00:10:39,360 --> 00:10:42,640 Speaker 3: sort of spam or threat, and so that needs to evolve. 201 00:10:42,920 --> 00:10:44,520 Speaker 2: But there's a future where. 202 00:10:44,480 --> 00:10:47,320 Speaker 3: A percentage of the transactions are going to be agent based, 203 00:10:47,360 --> 00:10:50,079 Speaker 3: a percentage is going to be human based, and how 204 00:10:50,080 --> 00:10:52,280 Speaker 3: do you engage both of those channels as a channel 205 00:10:52,280 --> 00:10:54,920 Speaker 3: for growth. So there's a huge amount of I guess 206 00:10:54,960 --> 00:10:57,000 Speaker 3: innovation that's going to happen over the next twelve to 207 00:10:57,000 --> 00:10:58,520 Speaker 3: eighteen months in enabling this. 208 00:10:58,960 --> 00:11:00,679 Speaker 2: But it's a super exciting time. 209 00:11:01,280 --> 00:11:04,480 Speaker 1: Timeline twelve to way ten months. So what in the 210 00:11:04,520 --> 00:11:07,560 Speaker 1: next maybe two or three years, we could see it 211 00:11:07,679 --> 00:11:11,480 Speaker 1: really affecting the way that say you or I shop. 212 00:11:12,000 --> 00:11:13,880 Speaker 3: I think it's going to be earlier than that. I 213 00:11:13,880 --> 00:11:16,560 Speaker 3: think what we're going to see is Australian merchants be 214 00:11:16,600 --> 00:11:18,800 Speaker 3: listening on these platforms as early as next year. 215 00:11:18,880 --> 00:11:19,200 Speaker 2: Okay. 216 00:11:19,280 --> 00:11:21,640 Speaker 3: I think the more merchants that get listened on these 217 00:11:21,640 --> 00:11:25,079 Speaker 3: platforms create some surface area where suddenly it becomes a 218 00:11:25,120 --> 00:11:27,680 Speaker 3: place where you expect to be able to shop. And 219 00:11:27,679 --> 00:11:30,800 Speaker 3: then we're going to start seeing a decent percentage of volume. 220 00:11:30,840 --> 00:11:33,080 Speaker 3: And I'm really looking forward to next year or even 221 00:11:33,080 --> 00:11:36,080 Speaker 3: the year later around Black Friday Sober Monday, of what 222 00:11:36,200 --> 00:11:39,680 Speaker 3: percentage of those transactions have been driven by agents versus humans, 223 00:11:39,960 --> 00:11:41,840 Speaker 3: because I think it's going to be meaningful. 224 00:11:41,600 --> 00:11:43,680 Speaker 1: Bringing it back to Black Friday. We are out of time, 225 00:11:44,120 --> 00:11:47,720 Speaker 1: but bringing it back to Black Friday and online sales. 226 00:11:48,800 --> 00:11:51,400 Speaker 1: Is everyone doing it now in terms of retailers or 227 00:11:51,480 --> 00:11:54,480 Speaker 1: is there are there still pockets that are potentially holding 228 00:11:54,520 --> 00:11:58,200 Speaker 1: out and not getting involved in this and then maybe 229 00:11:58,240 --> 00:12:01,040 Speaker 1: setting themselves up to miss out on the next wave 230 00:12:01,760 --> 00:12:04,559 Speaker 1: being AGENTICAI and those changes to shopping. 231 00:12:04,679 --> 00:12:06,880 Speaker 3: I think the majority of retailers are leaning in and 232 00:12:06,920 --> 00:12:09,560 Speaker 3: we're seeing it though it extend. So now we're seeing 233 00:12:09,600 --> 00:12:14,040 Speaker 3: the emergence of travel Tuesday, and so business is saying, well, 234 00:12:14,080 --> 00:12:16,720 Speaker 3: hang on a second, maybe I'm getting lost a little 235 00:12:16,960 --> 00:12:20,319 Speaker 3: in the classic retail season and let's create something new. 236 00:12:20,320 --> 00:12:23,280 Speaker 3: In the US, they've got Giving Tuesday, which is classically 237 00:12:23,679 --> 00:12:26,960 Speaker 3: more aligned to donating to charity, and so we're seeing 238 00:12:26,960 --> 00:12:31,320 Speaker 3: it extend getting bigger versus getting smaller. So generally speaking, retail, 239 00:12:31,320 --> 00:12:33,679 Speaker 3: we're seeing them lean in because it's just so important. 240 00:12:34,040 --> 00:12:36,560 Speaker 3: But then some of these other sectors are starting to 241 00:12:36,600 --> 00:12:39,560 Speaker 3: create individual areas to make sure that they're able to surface. 242 00:12:39,760 --> 00:12:41,840 Speaker 1: Awesome, Kyl, thank you for talking to Fear and Greed. 243 00:12:42,000 --> 00:12:43,040 Speaker 2: Wonderful, Thanks for having me. 244 00:12:43,120 --> 00:12:46,120 Speaker 1: That was Kyle Durrance, Managing Director Australia and New Zealand, 245 00:12:46,120 --> 00:12:48,920 Speaker 1: a payments platform Stripe, which is a great supporter of 246 00:12:48,960 --> 00:12:50,960 Speaker 1: this podcast. If you've got something that you'd like to know, 247 00:12:51,040 --> 00:12:53,959 Speaker 1: then send through your question on LinkedIn, Instagram, Facebook or 248 00:12:54,040 --> 00:12:56,959 Speaker 1: at Fearandgreed dot com dot au. I'm Michael Thompson and 249 00:12:57,000 --> 00:12:58,320 Speaker 1: this is Fear and Greed Q and A