WEBVTT - Kopi Time E128 - Payments trends with Mastercard's David Mann

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<v Speaker 1>Welcome to Kobe Time, a podcast series on Markets and

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<v Speaker 1>Economies from D BS Group Research. I'm Tamur, be chief economist.

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<v Speaker 1>Welcoming you to our 128th episode.

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<v Speaker 1>Today, we will talk about payment trends in Asia as

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<v Speaker 1>well as some broader trends around the world. And we

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<v Speaker 1>have a veritable source of data from the horse's mouth.

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<v Speaker 1>If you will. Mastercards. Chief economist David Man is with us.

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<v Speaker 1>David has been with Mastercard for a few years, but

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<v Speaker 1>I have known David for a long time as the

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<v Speaker 1>chief economist, both Asia, as well as global chief economist

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<v Speaker 1>for Standard Charter. I think you spent over 20 years there.

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<v Speaker 1>That's right. That's right

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<v Speaker 2>time.

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<v Speaker 1>But Mastercard also quite a few years now.

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<v Speaker 2>Yes, it's close to four years now at Mastercard too.

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<v Speaker 2>So yeah, it's been quite a ride.

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<v Speaker 1>David Manne. Welcome to copy time. Thanks for having me.

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<v Speaker 1>It's great to have you, David. Let's start with the

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<v Speaker 1>data that we're going to talk about today. How large

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<v Speaker 1>is the universe of Mastercard data?

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<v Speaker 2>Well, it's something where it really is one of those

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<v Speaker 2>truly global companies where if you think about payments in

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<v Speaker 2>particular it's very hard not to think of mastercard as

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<v Speaker 2>being a key

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<v Speaker 2>part of that. But I would stress that it's not

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<v Speaker 2>just to do with the card side in the same

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<v Speaker 2>way that say Apple doesn't sell Apple. It's just the

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<v Speaker 2>name of the actual company itself doesn't quite capture just

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<v Speaker 2>all the different areas that it's actually in. But just

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<v Speaker 2>for context, it has about 143 billion transactions. For example,

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<v Speaker 2>there's about $9 trillion of gross dollar value of that

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<v Speaker 2>actually is going through the system. And we also do

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<v Speaker 2>have 100 million

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<v Speaker 2>acceptance locations around the world. So it is a very

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<v Speaker 2>significant sized business with more than 3.4 billion cards outstanding worldwide. Now,

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<v Speaker 2>of course, it can vary country to country of just

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<v Speaker 2>how many cards are actually in use. I would say

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<v Speaker 2>in general advanced economies, you would see a much higher portion,

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<v Speaker 2>for example of card use and therefore it's much easier

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<v Speaker 2>to see it. But there are increasing numbers of different

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<v Speaker 2>rails and payment rails. The mastercard is involved in, I

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<v Speaker 2>would probably say even just beyond

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<v Speaker 2>just actually confirming a transaction and having that ability to

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<v Speaker 2>think of it. Like a tech company in the payments

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<v Speaker 2>space is probably the best way to really go about it.

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<v Speaker 2>So all the new things that you're seeing would say

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<v Speaker 2>digital wallets, use of tokenization, anything that helps to make

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<v Speaker 2>transactions secure online, all of these things mastercard has been

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<v Speaker 2>involved with for a very long time all the way

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<v Speaker 2>through to things like central bank, digital currency and even

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<v Speaker 2>Blockchain applications,

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<v Speaker 1>right? In terms of the different rails being used, I

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<v Speaker 1>was in China a couple of weeks ago and I

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<v Speaker 1>got to connect my Apple Alipay QR code to mastercard.

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<v Speaker 2>Oh, that's great. Well, that was actually one of the

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<v Speaker 2>most exciting times actually is in the last few months

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<v Speaker 2>and even just in the last week or two where

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<v Speaker 2>we actually have just launched the domestic switching as AJ

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<v Speaker 2>V in China and we're adding huge amounts more I

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<v Speaker 2>would expect of the acceptance locations because previous

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<v Speaker 2>you would have been say having a card issued in

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<v Speaker 2>China that was being able to be used internationally on

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<v Speaker 2>the Mastercard Rails. Now it would be one where that

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<v Speaker 2>same uh the Mastercard switch which is doing all of

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<v Speaker 2>the uh the, the I would say the approval and

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<v Speaker 2>the clearing and the settlement. Now all of that can

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<v Speaker 2>be done too. And that just means that we're able

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<v Speaker 2>to really understand even more about what's going on domestically

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<v Speaker 2>as well as internationally. A

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<v Speaker 1>little later, I want to talk a little more about

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<v Speaker 1>what took China so long

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<v Speaker 1>and now that they've done it what it means. But

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<v Speaker 1>before that David in mid June, you spoke at NRF

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<v Speaker 1>2024 National Retailers

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<v Speaker 2>Federation. Ok. Yes, that's right. So it was, it was

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<v Speaker 2>very exciting in that the folks from the, from the

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<v Speaker 2>NRF that were organizing, the event were saying they were

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<v Speaker 2>planning to have this first major event outside of the

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<v Speaker 2>US where it's been running for more than 100 years

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<v Speaker 2>and it has thousands of participants and anyone in the

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<v Speaker 2>retail space seems to know all about

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<v Speaker 2>conference even around the world. But then COVID happened and

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<v Speaker 2>so they had to wait until they got to the

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<v Speaker 2>right time when it would feel a bit easier to

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<v Speaker 2>be going ahead with something like this. And so it

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<v Speaker 2>was thousands of people at the Marina Bay sands coming

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<v Speaker 2>in from, as the organizers told me around 40 different markets,

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<v Speaker 2>people were coming in

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<v Speaker 1>from not just American retailers. Oh no,

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<v Speaker 2>this was retailers from, you name the place, there was

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<v Speaker 2>someone there from literally anywhere I could think of. They

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<v Speaker 2>were like, yep, there's someone who's come in from there

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<v Speaker 2>and you had this sort of the, the, the sort

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<v Speaker 2>of set up where you have the whole exhibition hall

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<v Speaker 2>with the various vendors and people from all types of areas.

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<v Speaker 2>But then also the actual main event space where they

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<v Speaker 2>had speakers, for example, uh the head of Don Don Donkey,

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<v Speaker 2>for example. And that was very exciting to uh to

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<v Speaker 2>hear the story of how Japan and, and a company

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<v Speaker 2>that's been so successful in Japan, how they've done it

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<v Speaker 2>and also what their plans are for the future. Ok,

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<v Speaker 1>we

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<v Speaker 1>can probably spend many hours just

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<v Speaker 1>talking about the scope of a conference like this. I'm

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<v Speaker 1>super curious but give me some top line takeaways. How

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<v Speaker 1>are the retailers feeling in the middle of 2024?

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<v Speaker 2>Well, it's, it's,

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<v Speaker 2>it's one of these times where there's plenty of reason

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<v Speaker 2>for excitement in particular for this region, sort of things

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<v Speaker 2>that we would have been talking about. So from a

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<v Speaker 2>broader growth drivers perspective even say 10 years ago where

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<v Speaker 2>it was quite clear, the center of economic gravity had

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<v Speaker 2>been shifting east and it's not really changing. I would

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<v Speaker 2>argue even with the slowdown

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<v Speaker 2>in the trend pace of growth in for example, China,

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<v Speaker 2>you do still have the strength, for example, in India

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<v Speaker 2>and the contributions to global growth being so big. That

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<v Speaker 2>exciting story, I think is something that retailers are still

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<v Speaker 2>very focused on the rise of consumers, the growth in

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<v Speaker 2>middle class and higher income consumers that I would say

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<v Speaker 2>is the biggest long term part of the story that

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<v Speaker 2>people were were really really wanted to talk about. But

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<v Speaker 2>of course, there are shorter term challenges that come from

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<v Speaker 2>the rise in the cost of living

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<v Speaker 2>the higher levels of interest rates, the persistence of particularly

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<v Speaker 2>us interest rates being as high as they are, how

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<v Speaker 2>long and how quickly they come down. Of course, was

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<v Speaker 2>a major question that was coming up quite often because

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<v Speaker 2>it matters for markets in this region. Too take, for example, Indonesia,

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<v Speaker 2>where we've seen interest rates going up, where really it

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<v Speaker 2>was more about the external defense that the keeping the

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<v Speaker 2>currency from going much weaker rather than it being for

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<v Speaker 2>domestic reasons themselves. Even here in Singapore, we're seeing with

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<v Speaker 2>say the retail sales numbers

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<v Speaker 2>year on year have been softening and we know the

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<v Speaker 2>cost of living, the cost of interest are major factors

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<v Speaker 2>that are playing a role in that. So for a

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<v Speaker 2>lot of retailers, what they're trying to do is navigate

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<v Speaker 2>this challenging short term environment space. And a key way

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<v Speaker 2>to do it is to think about how they can

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<v Speaker 2>retain and gain new customers, draw customers in through personalization

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<v Speaker 2>services or loyalty programs.

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<v Speaker 2>What types of offerings they can actually come up with

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<v Speaker 2>how to segment the customer groups and also how to

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<v Speaker 2>think about what else they could be doing for alternative,

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<v Speaker 2>not just marketing but direct sales channels getting involved in

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<v Speaker 2>say marketplaces or directly selling and that role of ecommerce.

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<v Speaker 2>Of course, all with these things coming up, talking to

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<v Speaker 2>someone like mastercard was ok. We want to do more

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<v Speaker 2>of this. But also how do we do it in

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<v Speaker 2>a safe and secure way?

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<v Speaker 1>Sure, I just hope they're not pushing BNPL more because

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<v Speaker 1>this whole buy now pay later in my view at

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<v Speaker 1>this time, the cycle was raised being where they are

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<v Speaker 1>is a recipe for stress.

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<v Speaker 2>Well, it's one of those things where you look at

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<v Speaker 2>the different sources say B NPL, that had been certainly

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<v Speaker 2>something that grew very strongly, I think at first in Australia.

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<v Speaker 2>But what's interesting about it though? And I, I do

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<v Speaker 2>agree that there are certain areas where you've,

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<v Speaker 2>it's just got to be cautious on adding to the

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<v Speaker 2>amount of what is effectively credit at times when consumers

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<v Speaker 2>are more stressed. But at the same time, it was

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<v Speaker 2>offering something where at least consumers were feeling ok. I

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<v Speaker 2>just have four equal payments to make. There's no interest

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<v Speaker 2>on it. But of course, it needs to be done

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<v Speaker 2>in a way where people actually are able to do

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<v Speaker 2>that and it actually just helps them with their cash

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<v Speaker 2>flows rather than ends up seeing

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<v Speaker 2>them in more stressed positions. But it is an interesting

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<v Speaker 2>application of an older type of idea that's been reapplied

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<v Speaker 2>with modern technology thrown in. And I think from that perspective,

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<v Speaker 2>I think that's quite interesting, right?

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<v Speaker 1>I

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<v Speaker 1>mean, I think I've seen reference to installment payments, you know,

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<v Speaker 1>in South Asia, you know, decades ago, even before the

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<v Speaker 1>ecommerce was a thing. I also know that Apple recently

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<v Speaker 1>discontinued doing B and P I think it came out

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<v Speaker 1>just a week ago or so.

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<v Speaker 1>Um So David uh from these, these retailers who have

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<v Speaker 1>gathered from all over the world in Singapore, I mean,

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<v Speaker 1>did they pick Singapore because it's just a nice comfortable

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<v Speaker 1>travel destination or they see

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<v Speaker 1>regional hub for retail being in Singapore as a business proposition.

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<v Speaker 2>I think it was a little bit of both. Certainly

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<v Speaker 2>the organizers that when I was talking to them, they

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<v Speaker 2>did their homework on where should this be based? And

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<v Speaker 2>they came back with the overwhelming feedback. It should be Singapore.

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<v Speaker 2>That made the most sense. I think you're right. The

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<v Speaker 2>ease of travel in and out is clearly playing a

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<v Speaker 2>big role in that wherever you want to come from

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<v Speaker 2>around the region, it's a, it's a

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<v Speaker 2>key hub in that regard. And also I think the, well,

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<v Speaker 2>the the the the actual conference space itself, the ability

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<v Speaker 2>to network the sort of availability of of accommodations made

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<v Speaker 2>it much, much simpler. Um But I think also it

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<v Speaker 2>is a place where you still do see that bias

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<v Speaker 2>on having regional hubs and picking Singapore as a location

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<v Speaker 2>for that. I think that's something that is, is very,

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<v Speaker 2>I think quite persistent really, even though there's lots of

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<v Speaker 2>other places that are

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<v Speaker 2>looking to try and take some of that sort of role,

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<v Speaker 2>it does look like Singapore is still in a leading position,

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<v Speaker 2>especially at a time when there's been more problems and

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<v Speaker 2>issues or questions over elsewhere, including say in Northeast Asia,

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<v Speaker 2>including Hong Kong.

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<v Speaker 1>That's

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<v Speaker 1>right. And I hope I'm not wrong when I say

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<v Speaker 1>that mastercards Regional Headquarters also Singapore. Yes,

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<v Speaker 2>that's right. Yes. Yes,

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<v Speaker 1>travel trends. 2024. You send me a link to the

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<v Speaker 1>report. I found it really interesting. I wish we could

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<v Speaker 1>have done like an interactive show where we can show

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<v Speaker 1>off your charts. But this time audio podcast with, on

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<v Speaker 1>the video, only us showing our faces tell me about

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<v Speaker 1>travel trends. 2020

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<v Speaker 2>four. Yeah, I mean, maybe next time next to this

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<v Speaker 2>nice greenery in the background, we can put a screen

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<v Speaker 2>up and I can start out with some of the Absolutely.

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<v Speaker 2>And it's actually on the Mastercard Services website. It

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<v Speaker 2>there's no gate gating on

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<v Speaker 2>it.

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<v Speaker 1>We'll put the link in the show notes of the great.

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<v Speaker 2>So what we do each year is and I think

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<v Speaker 2>it's now the fifth year that we've done this where

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<v Speaker 2>we've done a travel report for the world. And what

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<v Speaker 2>we try and do each time is think of what's

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<v Speaker 2>the new view that we could build? What are the

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<v Speaker 2>extra points that would reinforce some of the interesting thematics

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<v Speaker 2>that are coming out. So part of the story, firstly

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<v Speaker 2>on travel

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<v Speaker 2>is that while there are challenges on broader consumer stories,

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<v Speaker 2>we are still not done on the recovery of travel

0:10:39.070 --> 0:10:41.799
<v Speaker 2>in this region that the pandemic since the pandemic, like

0:10:41.809 --> 0:10:45.440
<v Speaker 2>levels of say just passenger volumes are not in general.

0:10:45.450 --> 0:10:48.440
<v Speaker 2>Some exceptions, which I'll come on to especially the Japan story,

0:10:48.450 --> 0:10:50.690
<v Speaker 2>which has been dominating a lot of the stories and

0:10:50.700 --> 0:10:51.919
<v Speaker 2>and attention for good reason.

0:10:52.289 --> 0:10:54.530
<v Speaker 2>Actually, we're not fully recovered. If you take the example

0:10:54.539 --> 0:10:59.650
<v Speaker 2>of China, we're only around 83% recovered of passenger outbound

0:10:59.659 --> 0:11:04.530
<v Speaker 2>international volumes versus 2019. You compare that to domestic volumes

0:11:04.539 --> 0:11:07.859
<v Speaker 2>that had fully recovered even more than a year ago.

0:11:08.210 --> 0:11:11.099
<v Speaker 2>So there's a big divergence story that we're seeing there.

0:11:11.109 --> 0:11:13.250
<v Speaker 2>And of course, this matters the most because

0:11:13.474 --> 0:11:18.194
<v Speaker 2>pandemic China was the most important spending traveler worldwide. It

0:11:18.205 --> 0:11:21.473
<v Speaker 2>was actually even a big macroeconomic topic actually of just

0:11:21.484 --> 0:11:24.344
<v Speaker 2>how much of the services balance on the current account

0:11:24.354 --> 0:11:28.194
<v Speaker 2>actually was being dragged down by the expenditure of travelers

0:11:28.205 --> 0:11:31.344
<v Speaker 2>abroad on a net basis right now. Interestingly, we just launched,

0:11:31.354 --> 0:11:34.465
<v Speaker 2>relaunched the priceless Beijing experience

0:11:34.950 --> 0:11:38.049
<v Speaker 2>uh just literally a few days ago. And part of

0:11:38.059 --> 0:11:40.539
<v Speaker 2>the timing of doing it, one was uh with our

0:11:40.549 --> 0:11:44.309
<v Speaker 2>operations in China growing in that way, more acceptance points

0:11:44.460 --> 0:11:47.210
<v Speaker 2>uh that it was becoming a big story. But also

0:11:47.260 --> 0:11:49.270
<v Speaker 2>you may be noting, I I certainly have been seeing

0:11:49.280 --> 0:11:52.989
<v Speaker 2>more adverts uh for the wonderful things you can do

0:11:53.320 --> 0:11:56.400
<v Speaker 2>on a trip as a tourist coming into China. And

0:11:56.409 --> 0:11:59.380
<v Speaker 2>to your point earlier, the big challenge had been making

0:11:59.390 --> 0:12:02.469
<v Speaker 2>payments as a foreign visitor in China has not always

0:12:02.479 --> 0:12:05.890
<v Speaker 2>been so easy. It's changing right now. It's changing in

0:12:05.900 --> 0:12:08.119
<v Speaker 2>a big way. You mentioned, you're able to say put

0:12:08.130 --> 0:12:12.280
<v Speaker 2>your mastercard into big relief into your wallet that is

0:12:12.289 --> 0:12:15.049
<v Speaker 2>accepted and that means all the acceptance points just light

0:12:15.059 --> 0:12:16.289
<v Speaker 2>up straight away, but even

0:12:16.395 --> 0:12:18.664
<v Speaker 2>directly to be able to just go in and use

0:12:18.674 --> 0:12:22.054
<v Speaker 2>the mastercard directly in multiple more acceptance points. That's something

0:12:22.104 --> 0:12:25.603
<v Speaker 2>that's growing very rapidly. So now what, so that net

0:12:25.614 --> 0:12:28.694
<v Speaker 2>number might get a little bit more balanced if indeed

0:12:28.705 --> 0:12:30.854
<v Speaker 2>we do start to see a lot more travelers coming in.

0:12:30.864 --> 0:12:33.864
<v Speaker 2>There's certainly plenty of exciting, interesting things to do uh

0:12:33.875 --> 0:12:37.294
<v Speaker 2>when visiting China, many cultural uh locations that I think

0:12:37.304 --> 0:12:39.604
<v Speaker 2>many people would love to, to go and see. Uh

0:12:39.614 --> 0:12:42.294
<v Speaker 2>now on the travel side though, coming back to it,

0:12:42.304 --> 0:12:44.525
<v Speaker 2>the full recovery was seen in Japan.

0:12:45.179 --> 0:12:48.728
<v Speaker 2>So inbound travelers in particular, coming from places where the

0:12:48.739 --> 0:12:52.419
<v Speaker 2>FX had become particularly attractive. And a great example of

0:12:52.429 --> 0:12:55.369
<v Speaker 2>this is Singapore into Japan as a corridor

0:12:55.380 --> 0:12:57.189
<v Speaker 1>armstrong exchange rate vis over the yen.

0:12:57.200 --> 0:13:00.130
<v Speaker 2>That's right, that sort of move that, that it's been

0:13:00.140 --> 0:13:02.669
<v Speaker 2>a 38% move since early 22

0:13:02.724 --> 0:13:05.484
<v Speaker 2>22. That type of move actually, not only did it

0:13:05.494 --> 0:13:09.593
<v Speaker 2>attract that extra volume. So that corridor has been really booming.

0:13:09.604 --> 0:13:12.174
<v Speaker 2>It's more than 40% above where it had been pre

0:13:12.215 --> 0:13:15.704
<v Speaker 2>pandemic compared to other corridors that have not really come back.

0:13:15.715 --> 0:13:17.844
<v Speaker 2>And we can talk about the Thailand story as well

0:13:17.854 --> 0:13:19.424
<v Speaker 2>if you like a little bit later. But on the

0:13:19.434 --> 0:13:20.184
<v Speaker 2>Japan one

0:13:20.820 --> 0:13:23.640
<v Speaker 2>that F FX rate has not just been this big move,

0:13:23.650 --> 0:13:26.319
<v Speaker 2>attracting people in to just go and have their holiday there,

0:13:26.330 --> 0:13:29.460
<v Speaker 2>it's even changed what people do when they go there

0:13:29.469 --> 0:13:33.510
<v Speaker 2>because in general, since the ending of COVID restrictions worldwide

0:13:33.520 --> 0:13:36.679
<v Speaker 2>when it comes to travel, we have been seeing experiences

0:13:36.780 --> 0:13:39.478
<v Speaker 2>dominating what people wanted to spend on. It was all

0:13:39.489 --> 0:13:42.650
<v Speaker 2>about go to that fine dining experience or go to

0:13:42.659 --> 0:13:46.390
<v Speaker 2>the restaurant be with people concerts. Of course, the Taylor

0:13:46.400 --> 0:13:48.780
<v Speaker 2>Swift concerts were a big one. We've been focusing on

0:13:48.820 --> 0:13:52.179
<v Speaker 2>a lot over the last uh last 6 to 12 months.

0:13:52.190 --> 0:13:52.830
<v Speaker 2>But I think

0:13:53.260 --> 0:13:56.440
<v Speaker 2>this story of inbound into Japan was not just experience it.

0:13:56.450 --> 0:14:00.098
<v Speaker 2>We actually were seeing the share of wallet going up

0:14:00.109 --> 0:14:04.869
<v Speaker 2>quite dramatically, particularly on retail for the markets, the inbound

0:14:04.880 --> 0:14:07.710
<v Speaker 2>markets say Singapore or us where the FX was so

0:14:07.719 --> 0:14:10.549
<v Speaker 2>attractive because you can go there and it's really good

0:14:10.559 --> 0:14:13.090
<v Speaker 2>value going to the stores. So it was not just

0:14:13.099 --> 0:14:15.169
<v Speaker 2>about experiences. It was also about things

0:14:15.245 --> 0:14:18.726
<v Speaker 2>when it came to Japan, the transaction volume sizes were there,

0:14:18.736 --> 0:14:21.145
<v Speaker 2>the growth rate was clearly there. You could really see

0:14:21.156 --> 0:14:25.505
<v Speaker 2>the impact of big FX moves in driving traveler behavior

0:14:25.515 --> 0:14:28.236
<v Speaker 2>even actually, it was just in Thailand recently talking this

0:14:28.245 --> 0:14:31.166
<v Speaker 2>through on that corridor and actually even Thai visitors to

0:14:31.176 --> 0:14:34.096
<v Speaker 2>Japan were also breaking with the cliche of it all

0:14:34.106 --> 0:14:37.135
<v Speaker 2>being about experiences and you were seeing there also retail

0:14:37.231 --> 0:14:40.411
<v Speaker 2>spending doing particularly well because even though the Thai baht

0:14:40.421 --> 0:14:43.431
<v Speaker 2>has not exactly been very strong, it has been against

0:14:43.442 --> 0:14:45.331
<v Speaker 2>the yen. That's right. I think that's the other big

0:14:45.341 --> 0:14:47.502
<v Speaker 2>one that along with the Korean one actually or two

0:14:47.512 --> 0:14:50.161
<v Speaker 2>that have actually become quite attractive in that way because

0:14:50.171 --> 0:14:52.211
<v Speaker 2>of the pricing moves in the FX

0:14:52.221 --> 0:14:55.252
<v Speaker 1>rate, right? In my China trip. A few weeks ago,

0:14:55.262 --> 0:14:57.771
<v Speaker 1>first thing I realized that Shanghai is only a couple

0:14:57.781 --> 0:14:59.132
<v Speaker 1>of hours by plane from Tokyo

0:14:59.369 --> 0:15:01.830
<v Speaker 1>and in Tokyo, if you go to a retailer coming

0:15:01.840 --> 0:15:04.270
<v Speaker 1>from mainland China, they will immediately show you the price

0:15:04.280 --> 0:15:07.270
<v Speaker 1>comparison that in RMB, you pay this much in yen,

0:15:07.280 --> 0:15:09.320
<v Speaker 1>you pay this much. So it's of course, a value

0:15:09.330 --> 0:15:13.789
<v Speaker 1>proposition you should buy. So to your point of patterns

0:15:13.799 --> 0:15:18.270
<v Speaker 1>of spending changing and the orientation of tourists changing.

0:15:18.500 --> 0:15:21.030
<v Speaker 1>Um Do you see this like as you just mentioned

0:15:21.039 --> 0:15:24.130
<v Speaker 1>in Thailand, perhaps also if you can share some views

0:15:24.140 --> 0:15:28.599
<v Speaker 1>on Indonesia, Philippines, Vietnam and so on that, this slowdown

0:15:28.609 --> 0:15:31.159
<v Speaker 1>in Chinese outbound tourism into this part of the world.

0:15:31.419 --> 0:15:34.840
<v Speaker 1>Um How deep is it uh is it being offset by,

0:15:34.849 --> 0:15:37.479
<v Speaker 1>I don't know Russian tourism or American tourism?

0:15:37.900 --> 0:15:41.200
<v Speaker 2>Well, certainly into Japan, the US inbound tourism has also

0:15:41.210 --> 0:15:44.719
<v Speaker 2>been helping to make up for some of the, the

0:15:44.729 --> 0:15:47.479
<v Speaker 2>the the gap left behind, let's say by not yet

0:15:47.489 --> 0:15:51.169
<v Speaker 2>being fully recovered on the China inbound uh China tourists

0:15:51.179 --> 0:15:52.520
<v Speaker 2>going in to Japan,

0:15:52.875 --> 0:15:56.174
<v Speaker 2>that's for sure. Now, whether we're going to see with

0:15:56.184 --> 0:15:58.575
<v Speaker 2>some of these changes, that's being also the long term

0:15:58.585 --> 0:16:01.515
<v Speaker 2>story too. Uh I think actually we probably will where

0:16:01.525 --> 0:16:03.864
<v Speaker 2>actually yes, the China side will come back. But the

0:16:03.875 --> 0:16:06.674
<v Speaker 2>strength of the ASEAN demand particularly say it was just

0:16:06.684 --> 0:16:10.544
<v Speaker 2>in Thailand, that corridor of other ASEAN economies with tourists

0:16:10.554 --> 0:16:13.664
<v Speaker 2>coming into Thailand from the ASEAN has already

0:16:14.020 --> 0:16:16.859
<v Speaker 2>exceeded where it was. And the spending numbers are quite

0:16:16.869 --> 0:16:19.030
<v Speaker 2>strong too. And I think this actually comes back to

0:16:19.039 --> 0:16:21.130
<v Speaker 2>the point I mentioned at the beginning about the excitement

0:16:21.140 --> 0:16:24.250
<v Speaker 2>of retailers, which is, it's not all about just thinking

0:16:24.260 --> 0:16:27.299
<v Speaker 2>of when global growth comes from thinking, oh, the US

0:16:27.309 --> 0:16:29.609
<v Speaker 2>and then Europe, they're really thinking about, well, what's the

0:16:29.619 --> 0:16:33.200
<v Speaker 2>India story? What's the story in Indonesia? And actually the

0:16:33.335 --> 0:16:35.905
<v Speaker 2>a story another one again, in terms of inbound into

0:16:35.914 --> 0:16:39.395
<v Speaker 2>Thailand has become exciting because for travelers from India, a

0:16:39.405 --> 0:16:42.635
<v Speaker 2>number of markets had been easing off on visa restrictions.

0:16:42.645 --> 0:16:44.715
<v Speaker 2>Part of the reason being, well, that's a great way

0:16:44.724 --> 0:16:48.395
<v Speaker 2>of making up for some of the relative underperformance of

0:16:48.405 --> 0:16:51.005
<v Speaker 2>travelers coming in from elsewhere. And when you look at

0:16:51.015 --> 0:16:52.405
<v Speaker 2>the sheer volume of say

0:16:52.849 --> 0:16:56.909
<v Speaker 2>infrastructure build out air airplanes on order. Uh that we

0:16:56.919 --> 0:16:58.979
<v Speaker 2>think about the India market, we think of the volumes

0:16:58.989 --> 0:17:01.849
<v Speaker 2>of extra people, middle class and above that is just

0:17:01.859 --> 0:17:04.869
<v Speaker 2>growing continuously over the next five years, more than 20

0:17:04.880 --> 0:17:07.589
<v Speaker 2>million people we think will be added into say the

0:17:07.599 --> 0:17:10.209
<v Speaker 2>middle class groups. It's not just for domestic travel that

0:17:10.219 --> 0:17:12.669
<v Speaker 2>they'll want to do, they'll go beyond the things and

0:17:12.680 --> 0:17:16.000
<v Speaker 2>into the experiences realm. It will be doing these international

0:17:16.010 --> 0:17:16.900
<v Speaker 2>trips as well.

0:17:17.218 --> 0:17:19.917
<v Speaker 1>It is absolutely fascinating. I fully agree with you, the

0:17:19.928 --> 0:17:23.279
<v Speaker 1>increasing purchasing power of the upper middle class and the

0:17:23.288 --> 0:17:25.779
<v Speaker 1>high income cohort of Indians. I think it's going to

0:17:25.788 --> 0:17:29.848
<v Speaker 1>be if not as transformational as the Chinese wealth impact

0:17:29.859 --> 0:17:32.338
<v Speaker 1>in the two thousands. But it will be pretty big

0:17:32.348 --> 0:17:37.619
<v Speaker 1>up there. From a value proposition perspective, hosting a wedding

0:17:37.629 --> 0:17:40.808
<v Speaker 1>in Goa is more expensive than hosting it in Phuket.

0:17:40.989 --> 0:17:42.718
<v Speaker 1>So for Indian

0:17:42.826 --> 0:17:46.475
<v Speaker 1>festival goers and people who want to arrange special family events,

0:17:46.526 --> 0:17:49.026
<v Speaker 1>I think talent is a very good value proposition. Even

0:17:49.036 --> 0:17:51.005
<v Speaker 1>though the bath is not as weak as the yen,

0:17:51.015 --> 0:17:51.776
<v Speaker 1>they still offer great

0:17:51.786 --> 0:17:54.275
<v Speaker 2>value. There's still good value in there. And actually you

0:17:54.286 --> 0:17:56.125
<v Speaker 2>mentioned that story. I think I literally saw two or

0:17:56.135 --> 0:17:57.786
<v Speaker 2>three weddings in the week and a half that I

0:17:57.796 --> 0:18:00.004
<v Speaker 2>was on a holiday in one of the hotels in.

0:18:00.515 --> 0:18:00.546
<v Speaker 2>There

0:18:00.715 --> 0:18:00.734
<v Speaker 1>you

0:18:00.776 --> 0:18:03.035
<v Speaker 1>go, there you go. Um Let's talk a little bit

0:18:03.046 --> 0:18:05.686
<v Speaker 1>more about Singapore. If I'm not mistaken, Singapore is the

0:18:05.696 --> 0:18:08.326
<v Speaker 1>only country in ASEAN where the travel

0:18:08.432 --> 0:18:11.371
<v Speaker 1>tourism is basically back to pre pandemic levels everywhere else.

0:18:11.381 --> 0:18:12.251
<v Speaker 1>It's still lagging.

0:18:12.261 --> 0:18:15.661
<v Speaker 2>There is still, well, we had almost fully come back

0:18:15.671 --> 0:18:17.331
<v Speaker 2>and then it eased off a little bit in the

0:18:17.342 --> 0:18:20.111
<v Speaker 2>most recent data. So we're still below say 90% in

0:18:20.121 --> 0:18:22.531
<v Speaker 2>terms of the volumes. But you're right in terms of say,

0:18:22.541 --> 0:18:25.832
<v Speaker 2>total expenditure that's coming in from the inbound tourists. It

0:18:25.842 --> 0:18:29.322
<v Speaker 2>has made that that pretty much full comeback, but we're

0:18:29.332 --> 0:18:31.501
<v Speaker 2>not fully, we're not all the way over where we

0:18:31.511 --> 0:18:33.972
<v Speaker 2>were in 2019, I would say part of the reason

0:18:34.219 --> 0:18:36.959
<v Speaker 2>is actually the flip side of the Japan story. It's

0:18:36.969 --> 0:18:40.139
<v Speaker 2>expensive here when you have a currency. And even, let's

0:18:40.150 --> 0:18:43.219
<v Speaker 2>say the Singapore dollar broadly, it's been as strong as

0:18:43.229 --> 0:18:45.550
<v Speaker 2>the US dollar, let's say, certainly it's been stronger than

0:18:45.650 --> 0:18:48.119
<v Speaker 2>any of the other currencies around the region. It has

0:18:48.130 --> 0:18:51.560
<v Speaker 2>meant that there's been this uh and it's actually changed

0:18:51.569 --> 0:18:54.000
<v Speaker 2>some of the consumer spending behavior for Singapore as well

0:18:54.010 --> 0:18:56.579
<v Speaker 2>because we know, let, let, let's think about firstly the

0:18:56.589 --> 0:18:58.349
<v Speaker 2>outbound story for Singapore and then we can go on

0:18:58.359 --> 0:18:59.910
<v Speaker 2>the inbound outbound

0:19:00.229 --> 0:19:03.938
<v Speaker 2>for the uh broader mass market consumers. We actually have

0:19:03.949 --> 0:19:06.530
<v Speaker 2>noted there's been a slight drop in the share of

0:19:06.540 --> 0:19:10.129
<v Speaker 2>the wallet of spending actually going on travel. And now

0:19:10.140 --> 0:19:13.130
<v Speaker 2>we're thinking, well, why would this be Singapore dollar so strong?

0:19:13.219 --> 0:19:18.149
<v Speaker 2>It's particularly strong against regional currencies. So actually, there's more

0:19:18.160 --> 0:19:20.849
<v Speaker 2>of that attractiveness of taking the budget flights, taking the

0:19:20.859 --> 0:19:22.530
<v Speaker 2>shorter haul flights,

0:19:22.609 --> 0:19:25.709
<v Speaker 2>let's say around the region and doing your holidays there,

0:19:25.719 --> 0:19:27.949
<v Speaker 2>maybe as far as Japan. Of course, we know that's

0:19:27.959 --> 0:19:31.270
<v Speaker 2>the case but elsewhere to say Thailand, because it's such

0:19:31.280 --> 0:19:34.099
<v Speaker 2>good value. And so the the consumers for sure with

0:19:34.109 --> 0:19:36.829
<v Speaker 2>this world, we've been in with the spike in inflation,

0:19:36.839 --> 0:19:39.629
<v Speaker 2>the spike in interest rates, everyone looking at some ways

0:19:39.640 --> 0:19:43.380
<v Speaker 2>of trading down on certain essential goods, which has even

0:19:43.390 --> 0:19:44.899
<v Speaker 2>with that being the case,

0:19:45.219 --> 0:19:48.000
<v Speaker 2>taking up a bigger portion of the share of wallet.

0:19:48.010 --> 0:19:50.659
<v Speaker 2>What we really need to see next that consumers are

0:19:50.670 --> 0:19:52.839
<v Speaker 2>looking at is where can I find some of those savings?

0:19:52.849 --> 0:19:54.959
<v Speaker 2>And of course, traveling regionally, you still get your travel

0:19:54.969 --> 0:19:58.199
<v Speaker 2>experience and you've got the value proposition as well right

0:19:58.500 --> 0:20:00.989
<v Speaker 2>now on the inbound side, of course, yes, it's become

0:20:01.000 --> 0:20:04.859
<v Speaker 2>a more expensive place for coming in to visit. And

0:20:04.869 --> 0:20:08.280
<v Speaker 2>because of the exchange rate, that does mean that for example,

0:20:08.290 --> 0:20:10.839
<v Speaker 2>say travelers coming in from say Indonesia, do you find

0:20:10.941 --> 0:20:14.380
<v Speaker 2>more expensive at this point? Of course, everything can change,

0:20:14.390 --> 0:20:16.681
<v Speaker 2>let's say in another year from now as and when

0:20:16.691 --> 0:20:19.941
<v Speaker 2>we may get the interest rate cutting cycle actually really

0:20:19.951 --> 0:20:22.020
<v Speaker 2>getting going from the United States.

0:20:22.211 --> 0:20:24.201
<v Speaker 1>But also for the Indonesians. If they want to watch

0:20:24.211 --> 0:20:26.240
<v Speaker 1>Taylor Swift, there's only one place to go in Asia,

0:20:26.250 --> 0:20:26.750
<v Speaker 2>right? And

0:20:26.760 --> 0:20:29.680
<v Speaker 2>actually we did note on that front that when we

0:20:29.691 --> 0:20:33.660
<v Speaker 2>look into say the restaurant spending around the sort of

0:20:33.671 --> 0:20:36.469
<v Speaker 2>areas that were close enough to the venue for the

0:20:36.732 --> 0:20:40.082
<v Speaker 2>of concerts, we saw a major lift like 25% plus

0:20:40.092 --> 0:20:42.482
<v Speaker 2>lift in spending over that period of the Taylor Swift

0:20:42.491 --> 0:20:45.241
<v Speaker 2>concerts with the biggest driver on the cross border coming

0:20:45.251 --> 0:20:46.311
<v Speaker 2>actually from the Philippines.

0:20:46.541 --> 0:20:49.171
<v Speaker 1>Yes, I should correct myself in Southeast Asia because she

0:20:49.182 --> 0:20:51.942
<v Speaker 1>did go to Japan. But the reason I'm sort of

0:20:51.952 --> 0:20:55.001
<v Speaker 1>focusing on this point is that for a country like Singapore,

0:20:55.011 --> 0:20:57.602
<v Speaker 1>I think the contrast with Indonesia is interesting one Indonesia

0:20:57.612 --> 0:21:02.261
<v Speaker 1>is cheaper, the has been weak. But the

0:21:02.383 --> 0:21:06.842
<v Speaker 1>specific unique experiences that Singapore offers still keeps it in

0:21:06.853 --> 0:21:09.561
<v Speaker 1>the sort of the planning horizon of tourists even though

0:21:09.571 --> 0:21:12.483
<v Speaker 1>Singapore is considered expensive. So it's both value but also

0:21:12.493 --> 0:21:14.713
<v Speaker 1>the quality of things that are being offered.

0:21:14.723 --> 0:21:15.302
<v Speaker 2>Yeah, that's right. And

0:21:15.311 --> 0:21:17.022
<v Speaker 2>also I think a lot of people see it as

0:21:17.032 --> 0:21:18.912
<v Speaker 2>a place to start, let's say if you're coming in

0:21:18.922 --> 0:21:21.071
<v Speaker 2>from Europe or the US, a great place to start

0:21:21.083 --> 0:21:22.983
<v Speaker 2>or maybe finish your holiday or maybe a little bit

0:21:22.993 --> 0:21:25.042
<v Speaker 2>of both at each end where you've done the long

0:21:25.052 --> 0:21:27.442
<v Speaker 2>haul flight into Singapore, then you might do a shorter

0:21:27.453 --> 0:21:28.003
<v Speaker 2>haul flight,

0:21:28.104 --> 0:21:31.093
<v Speaker 2>the destination you were looking for around the region and

0:21:31.104 --> 0:21:33.033
<v Speaker 2>then you see where you go from there that I

0:21:33.042 --> 0:21:35.843
<v Speaker 2>think is the the way round that people I think would,

0:21:35.854 --> 0:21:39.763
<v Speaker 2>would think about it, especially you've got the attractions, for example,

0:21:39.773 --> 0:21:42.854
<v Speaker 2>the night safari, that's quite a unique sort of proposition.

0:21:42.894 --> 0:21:46.323
<v Speaker 2>The Universal Studios, there's plenty of these sort of experiences

0:21:46.333 --> 0:21:48.374
<v Speaker 2>and just going around the Marina Bay area as well.

0:21:48.384 --> 0:21:50.683
<v Speaker 2>And of course, during the Taylor Swift Concert period, no

0:21:50.693 --> 0:21:53.723
<v Speaker 2>surprises the locations wise.

0:21:53.824 --> 0:21:55.905
<v Speaker 2>Of course, the Marina Bay area in particular. So the

0:21:55.915 --> 0:21:56.944
<v Speaker 2>biggest Swift

0:21:56.954 --> 0:21:57.405
<v Speaker 2>lift.

0:21:57.415 --> 0:21:59.563
<v Speaker 1>So David, you may have touched upon this earlier, but

0:21:59.574 --> 0:22:01.045
<v Speaker 1>I just want to be a little more granular. So

0:22:01.055 --> 0:22:03.214
<v Speaker 1>we are talking about two things. One is number of

0:22:03.224 --> 0:22:06.204
<v Speaker 1>tourists moving around the region and second is sort of

0:22:06.214 --> 0:22:09.304
<v Speaker 1>the per capita spend the spending more or less. So

0:22:09.314 --> 0:22:12.795
<v Speaker 1>just round it up for us both in those two metrics. Yeah.

0:22:12.805 --> 0:22:17.444
<v Speaker 2>So let's say we're thinking about firstly, passenger volumes, most

0:22:17.454 --> 0:22:19.444
<v Speaker 2>places have not fully

0:22:19.949 --> 0:22:22.359
<v Speaker 2>broken even on where they were in 2019. I think

0:22:22.369 --> 0:22:23.719
<v Speaker 2>the only one off the top of my head that

0:22:23.729 --> 0:22:27.530
<v Speaker 2>has for sure was Japan around October, November of last year.

0:22:27.540 --> 0:22:32.969
<v Speaker 2>Passenger volumes exceeded certain corridors exceeded way more than 2019.

0:22:32.979 --> 0:22:36.109
<v Speaker 2>Didn't just break even a great example, say being Singapore.

0:22:36.219 --> 0:22:39.089
<v Speaker 2>So as a destination, Japan has really been the most

0:22:39.099 --> 0:22:42.479
<v Speaker 2>popular choice and we've seen that clearly when you look

0:22:42.489 --> 0:22:45.140
<v Speaker 2>across anyone in the travel industry, they would not see

0:22:45.150 --> 0:22:49.369
<v Speaker 2>that as a remotely uh say controversial idea. Um The

0:22:49.739 --> 0:22:53.689
<v Speaker 2>issue with say uh Thailand has been that total passenger

0:22:53.699 --> 0:22:56.780
<v Speaker 2>volume arrivals, numbers um have been a bit more uh

0:22:56.790 --> 0:23:00.239
<v Speaker 2>a bit softer and than they were in 2019. Even today,

0:23:00.270 --> 0:23:03.400
<v Speaker 2>there is still the upside on the way that will come.

0:23:03.410 --> 0:23:06.229
<v Speaker 2>We think from the next leg up in China's outbound

0:23:06.239 --> 0:23:10.180
<v Speaker 2>tourist story. It's interesting when China first opened up about

0:23:10.189 --> 0:23:13.099
<v Speaker 2>a year ago, we saw an ongoing surge up to

0:23:13.109 --> 0:23:16.438
<v Speaker 2>about 50% of prepa levels for international travel

0:23:16.689 --> 0:23:18.899
<v Speaker 2>and then it stalled uh from around July all the

0:23:18.910 --> 0:23:20.949
<v Speaker 2>way through to late last year. And then it had

0:23:20.959 --> 0:23:24.000
<v Speaker 2>another jump higher and we're now around 83% now, maybe

0:23:24.010 --> 0:23:26.489
<v Speaker 2>it stays around there and then has one more leg up.

0:23:26.530 --> 0:23:28.569
<v Speaker 2>I don't know exactly when, but we think we'll be

0:23:28.579 --> 0:23:30.180
<v Speaker 2>seeing that by the end of the year. So that

0:23:30.189 --> 0:23:32.979
<v Speaker 2>should mean in general, the passenger volumes are all have

0:23:32.989 --> 0:23:36.869
<v Speaker 2>been quite successful in their comeback. Uh Now for say,

0:23:36.880 --> 0:23:40.579
<v Speaker 2>Thailand visitors from the ASEAN that's already been doing very,

0:23:40.589 --> 0:23:42.199
<v Speaker 2>very well. Visitors from India

0:23:42.300 --> 0:23:46.550
<v Speaker 2>has also been doing well and actually the cross border flows,

0:23:46.560 --> 0:23:48.520
<v Speaker 2>I guess it's no surprise. Once you start adding in

0:23:48.530 --> 0:23:51.420
<v Speaker 2>direct flights, you get a lot more visitors from that location.

0:23:51.530 --> 0:23:53.649
<v Speaker 2>The best example of this, which we did feature in

0:23:53.660 --> 0:23:57.030
<v Speaker 2>the report actually was India into Vietnam when we saw

0:23:57.040 --> 0:24:01.099
<v Speaker 2>those volumes surging. I think it's 2.5 times the amount

0:24:01.109 --> 0:24:05.160
<v Speaker 2>of visitors. But actually even India, in terms of the

0:24:05.170 --> 0:24:07.800
<v Speaker 2>strength of consumers and the sort of diaspora

0:24:07.910 --> 0:24:12.649
<v Speaker 2>around the world too, actually India into the US was 59%

0:24:12.660 --> 0:24:14.930
<v Speaker 2>above where it had been pre pandemic and into Japan

0:24:14.939 --> 0:24:17.469
<v Speaker 2>was not too far off either. So again, you're seeing

0:24:17.479 --> 0:24:20.458
<v Speaker 2>those clear preferences where either it's the FX rate that's

0:24:20.469 --> 0:24:23.000
<v Speaker 2>really driving it though. Of course, Japan has many things

0:24:23.010 --> 0:24:25.869
<v Speaker 2>to offer beyond just while it's good value. And also

0:24:25.880 --> 0:24:28.609
<v Speaker 2>it is uh these extra corridors being added or indeed

0:24:28.619 --> 0:24:31.050
<v Speaker 2>getting rid of visa restrictions. So you can see all

0:24:31.060 --> 0:24:33.329
<v Speaker 2>of these moving parts making a very big difference.

0:24:33.709 --> 0:24:37.698
<v Speaker 1>So now um we know high interest rates in economies

0:24:37.709 --> 0:24:40.689
<v Speaker 1>that have a lot of leverage should, at least in theory,

0:24:40.699 --> 0:24:44.869
<v Speaker 1>have a negative impact on people's desire to consume. Uh

0:24:44.910 --> 0:24:46.930
<v Speaker 1>We haven't really seen that in the US. Despite a

0:24:46.939 --> 0:24:50.170
<v Speaker 1>historic rise in interest rates, retail sales have been pretty robust,

0:24:50.180 --> 0:24:51.760
<v Speaker 1>although I don't want to talk about us later on

0:24:51.770 --> 0:24:52.170
<v Speaker 1>with you

0:24:52.420 --> 0:24:54.619
<v Speaker 1>and then we see it in Hong Kong, for example,

0:24:54.630 --> 0:24:57.708
<v Speaker 1>high interest rates are really hurting consumption. Now, elsewhere in

0:24:57.719 --> 0:25:01.800
<v Speaker 1>Asia we've seen rates go up with the exception of Japan. Yeah. Well,

0:25:01.810 --> 0:25:04.560
<v Speaker 1>they have done a little so there's zero now. Yes,

0:25:05.089 --> 0:25:07.550
<v Speaker 1>the impact of high interest

0:25:07.689 --> 0:25:11.349
<v Speaker 1>rates on spending in Asia. Do you have any views

0:25:11.359 --> 0:25:11.419
<v Speaker 1>so

0:25:11.430 --> 0:25:11.900
<v Speaker 1>far?

0:25:12.189 --> 0:25:15.599
<v Speaker 2>Well, I think the there's no doubt that it does

0:25:15.609 --> 0:25:18.839
<v Speaker 2>weigh on consumers when you have higher interest rates. It

0:25:18.849 --> 0:25:20.979
<v Speaker 2>makes a big difference. I think the thing that's been

0:25:20.989 --> 0:25:22.739
<v Speaker 2>most interesting in,

0:25:23.310 --> 0:25:26.329
<v Speaker 2>well, in, in le le let's take a step back

0:25:26.339 --> 0:25:29.170
<v Speaker 2>and start with, say the story everywhere that we had

0:25:29.180 --> 0:25:31.589
<v Speaker 2>before we then had the reopening. And we know in

0:25:31.599 --> 0:25:34.010
<v Speaker 2>Asia we opened a bit later during that period where

0:25:34.020 --> 0:25:36.390
<v Speaker 2>you are effectively more restricted on what you can do.

0:25:36.500 --> 0:25:40.449
<v Speaker 2>And especially for consumers, especially middle or higher income, consumers

0:25:40.459 --> 0:25:40.989
<v Speaker 2>spend

0:25:41.439 --> 0:25:45.639
<v Speaker 2>a decent portion of their expenditure going on travel if

0:25:45.650 --> 0:25:47.579
<v Speaker 2>you weren't doing it for a few years and then

0:25:47.589 --> 0:25:50.199
<v Speaker 2>suddenly you have room to do it during that period

0:25:50.209 --> 0:25:54.560
<v Speaker 2>of effective extra savings, the excess savings that accumulate. That's

0:25:54.569 --> 0:25:59.300
<v Speaker 2>where I think we've seen the extra disorientating part of, well,

0:25:59.310 --> 0:26:02.530
<v Speaker 2>shouldn't there be already much more of a response from

0:26:02.540 --> 0:26:05.560
<v Speaker 2>higher interest rates on consumer spending? I think the US

0:26:05.569 --> 0:26:06.209
<v Speaker 2>is a great

0:26:06.599 --> 0:26:10.198
<v Speaker 2>where that really did play out. We had $2.5 trillion

0:26:10.209 --> 0:26:13.550
<v Speaker 2>of excess savings accumulate by 2021. And it has been

0:26:13.560 --> 0:26:16.239
<v Speaker 2>in the process of being used up. Obviously, there's debates

0:26:16.250 --> 0:26:18.489
<v Speaker 2>out there of exactly how much is still left and

0:26:18.500 --> 0:26:21.099
<v Speaker 2>to what degree it even accrues any more to anyone

0:26:21.109 --> 0:26:23.239
<v Speaker 2>other than the higher income groups. And we know that

0:26:23.489 --> 0:26:26.390
<v Speaker 2>always and everywhere we look at this data, it always

0:26:26.400 --> 0:26:29.369
<v Speaker 2>usually is the higher income consumers that did accumulate more

0:26:29.380 --> 0:26:31.099
<v Speaker 2>of those excess savings.

0:26:31.469 --> 0:26:34.180
<v Speaker 2>I think some of that buffer is there in some economies.

0:26:34.260 --> 0:26:36.530
<v Speaker 2>But that only really I would say in emerging markets

0:26:36.540 --> 0:26:39.839
<v Speaker 2>probably applies to again, the higher income consumer groups, I

0:26:39.849 --> 0:26:43.780
<v Speaker 2>think middle, lower income, it's not as obvious, but the

0:26:43.790 --> 0:26:45.989
<v Speaker 2>other thing separate to excess savings. There has been a

0:26:46.000 --> 0:26:49.099
<v Speaker 2>buffer which is not something we're used to. Economists usually

0:26:49.109 --> 0:26:50.849
<v Speaker 2>don't pay attention to savings. Like

0:26:50.925 --> 0:26:55.015
<v Speaker 2>historically, it's a very boring thing, but it became very important.

0:26:55.025 --> 0:26:57.204
<v Speaker 2>I think during this uh pandemic period. But the other

0:26:57.214 --> 0:26:59.864
<v Speaker 2>one has been the labor markets in general. We've seen

0:26:59.875 --> 0:27:03.145
<v Speaker 2>relatively tight labor markets. There was the surge in demand,

0:27:03.155 --> 0:27:06.385
<v Speaker 2>people couldn't find enough workers, there was a relative lack

0:27:06.395 --> 0:27:09.344
<v Speaker 2>of migration flows. And actually this brings me on to

0:27:09.354 --> 0:27:10.295
<v Speaker 2>the point that

0:27:10.709 --> 0:27:13.689
<v Speaker 2>when we think about all the variables. Since the pandemic,

0:27:13.750 --> 0:27:16.520
<v Speaker 2>everything has really been fitting very nicely with the metaphor

0:27:16.530 --> 0:27:18.640
<v Speaker 2>of the bungee jump in my view. And what I

0:27:18.650 --> 0:27:20.589
<v Speaker 2>mean by that is we had to jump off the bridge,

0:27:20.599 --> 0:27:23.250
<v Speaker 2>the collapse in activity, the f the, the, the, the

0:27:23.260 --> 0:27:28.030
<v Speaker 2>worst uh global economy growth rates in 75 years, then

0:27:28.040 --> 0:27:30.459
<v Speaker 2>we knew we would rebound. That's the equivalent of jumping

0:27:30.469 --> 0:27:32.329
<v Speaker 2>off the bridge and the first bounce, you know what's

0:27:32.339 --> 0:27:35.339
<v Speaker 2>going on then that's the predictable part, getting direction, right

0:27:35.349 --> 0:27:37.750
<v Speaker 2>is fine. But after that, anyone say he's done a

0:27:37.760 --> 0:27:38.489
<v Speaker 2>bungee jump

0:27:38.939 --> 0:27:43.390
<v Speaker 2>myself, not included, would actually say they lose all orientation

0:27:43.400 --> 0:27:44.920
<v Speaker 2>of even where the ground of the sky is, they've

0:27:44.930 --> 0:27:48.380
<v Speaker 2>lost track. And because we've had such dramatic swings in

0:27:48.390 --> 0:27:50.829
<v Speaker 2>so many variables all at the same time, it's been

0:27:50.839 --> 0:27:54.469
<v Speaker 2>much harder to really definitively say, well, therefore this must

0:27:54.479 --> 0:27:58.160
<v Speaker 2>come eventually, it will eventually the bungee finishes and you

0:27:58.170 --> 0:28:00.159
<v Speaker 2>settle down. I think that will be the story of

0:28:00.170 --> 0:28:03.180
<v Speaker 2>next year where we're settling into the new, the way

0:28:03.189 --> 0:28:03.629
<v Speaker 2>it is

0:28:03.734 --> 0:28:05.916
<v Speaker 2>the last few years have not been normal in that way,

0:28:05.926 --> 0:28:09.586
<v Speaker 2>high excess savings, ultra tight labor markets in some locations

0:28:09.595 --> 0:28:13.196
<v Speaker 2>around the world. Major swings in migration flows to make

0:28:13.205 --> 0:28:15.995
<v Speaker 2>up for the pent up migration demand that was just

0:28:16.005 --> 0:28:18.825
<v Speaker 2>not able to be met in previous years, huge swings

0:28:18.836 --> 0:28:21.994
<v Speaker 2>in inflation and interest rates in again, the jobs market,

0:28:22.296 --> 0:28:25.505
<v Speaker 2>almost any variable. We look at has had these wild

0:28:25.515 --> 0:28:28.406
<v Speaker 2>swings that we're finally setting settling down into.

0:28:28.842 --> 0:28:30.692
<v Speaker 2>So I think the final piece of this will be

0:28:30.702 --> 0:28:33.121
<v Speaker 2>on the labor market front. If we start to see

0:28:33.131 --> 0:28:36.612
<v Speaker 2>that softening a lot more than that combined with the

0:28:36.621 --> 0:28:38.962
<v Speaker 2>cost of living challenges that are clearly there that are

0:28:38.972 --> 0:28:42.411
<v Speaker 2>impacting consumers and also more time going by where if

0:28:42.421 --> 0:28:44.712
<v Speaker 2>there were an excess savings story to be used up,

0:28:44.722 --> 0:28:47.052
<v Speaker 2>it would have happened by now. Then I think we

0:28:47.062 --> 0:28:49.182
<v Speaker 2>come exactly back to your point where there will be

0:28:49.192 --> 0:28:52.432
<v Speaker 2>more challenges but doesn't mean we have to have a recession.

0:28:52.442 --> 0:28:53.192
<v Speaker 2>I would say no,

0:28:53.569 --> 0:28:56.310
<v Speaker 2>the main reason being we didn't really have a boom.

0:28:56.319 --> 0:28:58.609
<v Speaker 2>So why should we have a bust? We were shut down,

0:28:58.619 --> 0:29:03.170
<v Speaker 2>we reopened. That's a base effects story. That's a disorientating feeling,

0:29:03.180 --> 0:29:05.849
<v Speaker 2>but that's not the same as a regular economic boom

0:29:05.859 --> 0:29:07.319
<v Speaker 2>that should therefore end in, in a

0:29:07.449 --> 0:29:10.489
<v Speaker 1>bus, not at all. Let me expand on that issue

0:29:10.500 --> 0:29:13.280
<v Speaker 1>a little bit, David. So you touched upon some of

0:29:13.290 --> 0:29:16.770
<v Speaker 1>these travel and tourism numbers being more relevant in the

0:29:16.780 --> 0:29:19.599
<v Speaker 1>context of middle and upper income uh part of the

0:29:19.609 --> 0:29:20.310
<v Speaker 1>population

0:29:20.849 --> 0:29:23.719
<v Speaker 1>with your data. Can you get a sense of this

0:29:23.729 --> 0:29:26.260
<v Speaker 1>um uh sort of the cost of living issue, how

0:29:26.270 --> 0:29:29.729
<v Speaker 1>it's affecting spending pattern among the lower income groups?

0:29:30.239 --> 0:29:32.569
<v Speaker 2>So you, I mean, you can depending on the market,

0:29:32.579 --> 0:29:35.910
<v Speaker 2>depending on say card penetration in different markets. Uh I mean,

0:29:35.920 --> 0:29:38.170
<v Speaker 2>certainly we're we, we, we know that there is a

0:29:38.180 --> 0:29:41.069
<v Speaker 2>growing amount of use of say digital wallets. Uh We're

0:29:41.079 --> 0:29:43.109
<v Speaker 2>seeing a lot more use of say account to account

0:29:43.119 --> 0:29:45.979
<v Speaker 2>the ach payments, uh where say in Singapore, that would

0:29:45.989 --> 0:29:47.949
<v Speaker 2>be the pay. Now for those who are based in

0:29:47.959 --> 0:29:50.170
<v Speaker 2>Singapore prompt pay in the case of Thailand.

0:29:50.385 --> 0:29:53.984
<v Speaker 2>And actually, uh mastercard is involved in the operations of around,

0:29:53.994 --> 0:29:56.555
<v Speaker 2>in around 13 different countries around the world of these

0:29:56.564 --> 0:30:00.185
<v Speaker 2>sort of real time payments, uh type systems. And the,

0:30:00.375 --> 0:30:02.484
<v Speaker 2>and that is certainly one that can be used a

0:30:02.494 --> 0:30:06.645
<v Speaker 2>lot more, I would say by a broader swathes of society,

0:30:06.655 --> 0:30:08.895
<v Speaker 2>it does a lot more of, of bringing even more

0:30:08.905 --> 0:30:10.444
<v Speaker 2>people into the system.

0:30:10.719 --> 0:30:13.280
<v Speaker 2>Um But it's still, it's a little harder for us

0:30:13.290 --> 0:30:16.790
<v Speaker 2>to be able to, to draw, I would say full

0:30:16.800 --> 0:30:20.229
<v Speaker 2>analogies of exactly what's going on, say across all of, say,

0:30:20.239 --> 0:30:23.719
<v Speaker 2>Indonesia or all of say, India when you get such

0:30:23.729 --> 0:30:26.550
<v Speaker 2>huge differences between, say what's going on anyway and say

0:30:26.560 --> 0:30:28.540
<v Speaker 2>the cities, the tier one cities or

0:30:28.650 --> 0:30:30.699
<v Speaker 2>the way through down into the more remote parts of

0:30:30.709 --> 0:30:33.109
<v Speaker 2>the country. So that one is a little bit more tricky.

0:30:33.150 --> 0:30:35.680
<v Speaker 2>Uh But certainly if we're talking about the major metropolitan

0:30:35.689 --> 0:30:39.369
<v Speaker 2>areas in most places and certainly, um, anyone who is

0:30:39.380 --> 0:30:42.060
<v Speaker 2>doing any kind of say, travel in particular, that's where

0:30:42.069 --> 0:30:44.770
<v Speaker 2>I think we really, uh we, we would, we would

0:30:44.780 --> 0:30:45.810
<v Speaker 2>be able to see a lot more,

0:30:45.900 --> 0:30:46.329
<v Speaker 1>right.

0:30:46.880 --> 0:30:49.900
<v Speaker 1>Um we have talked about China a bit earlier. Let's

0:30:49.910 --> 0:30:52.579
<v Speaker 1>talk a little more. First of all, why were the

0:30:52.589 --> 0:30:55.910
<v Speaker 1>Chinese so resistant to getting like a Mastercard or Visa

0:30:55.920 --> 0:30:58.550
<v Speaker 1>interface in their payment system for all these years? And

0:30:58.560 --> 0:31:00.750
<v Speaker 1>how come they capitulated all of a sudden? And now

0:31:00.760 --> 0:31:03.680
<v Speaker 1>we're seeing rapid acceptance, which is good news for mastercard.

0:31:03.689 --> 0:31:05.839
<v Speaker 1>But what's your sense behind the political economy of all

0:31:05.849 --> 0:31:06.250
<v Speaker 1>this

0:31:06.319 --> 0:31:08.880
<v Speaker 2>that I'm not so sure on what the exact story

0:31:08.890 --> 0:31:11.819
<v Speaker 2>actually is in any way. I think the one thing

0:31:11.829 --> 0:31:14.180
<v Speaker 2>I would say that looks quite clear at this point

0:31:14.310 --> 0:31:14.949
<v Speaker 2>is actually

0:31:15.046 --> 0:31:17.076
<v Speaker 2>that one, if you want to have a lot more

0:31:17.086 --> 0:31:19.566
<v Speaker 2>of those inbound tourists and travelers, then you do need

0:31:19.576 --> 0:31:23.145
<v Speaker 2>to provide a system and have a lot more choices

0:31:23.156 --> 0:31:26.755
<v Speaker 2>being made available to consumers, at least for the international

0:31:26.765 --> 0:31:30.745
<v Speaker 2>inbound travelers as well as for the domestic consumers as well.

0:31:30.755 --> 0:31:33.865
<v Speaker 2>So adding in an extra network in that way to

0:31:33.875 --> 0:31:36.985
<v Speaker 2>enable that extra competition where the banks can play an

0:31:36.995 --> 0:31:40.666
<v Speaker 2>even bigger role versus the existing wallets that were there

0:31:40.676 --> 0:31:43.095
<v Speaker 2>that had become so dominant. I think there was

0:31:43.212 --> 0:31:45.842
<v Speaker 2>my, my my sense and this is just my sense

0:31:45.852 --> 0:31:49.312
<v Speaker 2>is that it was more about seeing or wanting to

0:31:49.322 --> 0:31:52.612
<v Speaker 2>have more competition, wanting to actually broaden out the choices

0:31:52.621 --> 0:31:55.462
<v Speaker 2>for consumers and go beyond the two big players that

0:31:55.472 --> 0:31:58.432
<v Speaker 2>really had created effectively this super app, which is funny

0:31:58.442 --> 0:32:00.802
<v Speaker 2>because most places around the world want to build this

0:32:00.812 --> 0:32:02.891
<v Speaker 2>super app. But actually in the case of China, they've

0:32:02.901 --> 0:32:05.241
<v Speaker 2>had it where there's so many things and services you

0:32:05.251 --> 0:32:06.891
<v Speaker 2>can do from these

0:32:07.602 --> 0:32:09.121
<v Speaker 1>wechat for everything you

0:32:09.131 --> 0:32:11.261
<v Speaker 2>name it and that sort of thing.

0:32:11.589 --> 0:32:15.569
<v Speaker 2>Really. I think uh it's to diversify what the use

0:32:15.579 --> 0:32:18.449
<v Speaker 2>cases are to allow a lot more of the foreigners

0:32:18.459 --> 0:32:20.989
<v Speaker 2>coming in. If you want to have tourists, you make

0:32:21.000 --> 0:32:22.089
<v Speaker 2>it much easier for them

0:32:22.400 --> 0:32:25.760
<v Speaker 2>at the same time. Uh with the say the domestic

0:32:25.770 --> 0:32:29.030
<v Speaker 2>providers that are there uh adding a bit more competition.

0:32:29.060 --> 0:32:32.000
<v Speaker 2>Uh and it would probably be at the margins. I mean, again,

0:32:32.079 --> 0:32:36.380
<v Speaker 2>there's about a 20 years uh head start there. At least,

0:32:36.459 --> 0:32:39.560
<v Speaker 2>I think it is one where we we'll see, I

0:32:39.569 --> 0:32:42.000
<v Speaker 2>think a lot more of those choices being provided and

0:32:42.010 --> 0:32:44.199
<v Speaker 2>that probably I think is was a key driver of

0:32:44.209 --> 0:32:46.199
<v Speaker 2>why that was happening at this point.

0:32:46.569 --> 0:32:50.040
<v Speaker 1>So in parallel to those two large payment providers in

0:32:50.050 --> 0:32:53.530
<v Speaker 1>China and their payment rails around the world, as we've seen,

0:32:53.540 --> 0:32:57.550
<v Speaker 1>sort of e-commerce take hold, there are many alternative ecommerce

0:32:57.560 --> 0:32:59.229
<v Speaker 1>companies that have come up, right. I can think of

0:32:59.239 --> 0:33:02.390
<v Speaker 1>like paypal and others and revolut who are creating

0:33:03.520 --> 0:33:05.530
<v Speaker 1>sort of an alternative value proposition if you will, for

0:33:05.540 --> 0:33:07.380
<v Speaker 1>customers who want to have wallets who want to make

0:33:07.390 --> 0:33:10.969
<v Speaker 1>payments is mastercard embedded in these things or these are

0:33:10.979 --> 0:33:12.579
<v Speaker 1>parallel to mastercard entirely.

0:33:12.589 --> 0:33:14.979
<v Speaker 2>I think it depends which, which one we're talking about.

0:33:14.989 --> 0:33:17.719
<v Speaker 2>I think a great example of one where we're absolutely

0:33:17.729 --> 0:33:20.569
<v Speaker 2>involved is the, and I think this is the key

0:33:20.579 --> 0:33:22.780
<v Speaker 2>thing that as long as it's in an open loop

0:33:22.790 --> 0:33:25.339
<v Speaker 2>network where we can be one of the providers and

0:33:25.349 --> 0:33:27.069
<v Speaker 2>we're involved, that's what we're looking for is a sort

0:33:27.079 --> 0:33:30.420
<v Speaker 2>of ability to be taking part in the system and, and, and,

0:33:30.430 --> 0:33:31.780
<v Speaker 2>and really they

0:33:32.040 --> 0:33:35.209
<v Speaker 2>us the opportunity to leverage our network including globally in

0:33:35.219 --> 0:33:39.979
<v Speaker 2>more than 210 countries. That story. I think you mentioned

0:33:39.989 --> 0:33:43.040
<v Speaker 2>earlier on the sort of more old fashioned idea of

0:33:43.050 --> 0:33:47.579
<v Speaker 2>say the the installments, correct? What about prepaid cards? Sounds

0:33:47.589 --> 0:33:50.579
<v Speaker 2>like something you would think that sounds a bit old fashioned,

0:33:50.689 --> 0:33:54.209
<v Speaker 2>but actually, it's becoming very, very popular. And I think

0:33:54.219 --> 0:33:55.219
<v Speaker 2>a key reason for it

0:33:55.699 --> 0:33:58.630
<v Speaker 2>is that throwing some technology in there too, you have

0:33:58.640 --> 0:34:01.949
<v Speaker 2>your app, I think one good example say would be

0:34:01.959 --> 0:34:05.180
<v Speaker 2>Youtrip uh where even in say, Thailand, I was talking

0:34:05.189 --> 0:34:08.159
<v Speaker 2>to people where there it's, it's we're seeing a lot

0:34:08.169 --> 0:34:11.510
<v Speaker 2>more use of these different types of, of a technology

0:34:11.520 --> 0:34:13.879
<v Speaker 2>for an existing idea. It's not a brand new idea,

0:34:13.889 --> 0:34:16.189
<v Speaker 2>but redone in a, in a, in a, in a,

0:34:16.199 --> 0:34:18.909
<v Speaker 2>in a really modern way that makes the user experience,

0:34:19.639 --> 0:34:23.290
<v Speaker 2>you can have multiple currencies, all sitting on your wallet. Actually,

0:34:23.300 --> 0:34:27.340
<v Speaker 2>the regulator here actually just increased the total amount that

0:34:27.350 --> 0:34:30.659
<v Speaker 2>you can put into these wallets. Recognizing actually that it's

0:34:30.669 --> 0:34:33.530
<v Speaker 2>not just people who are purely on a budget that are,

0:34:33.540 --> 0:34:35.739
<v Speaker 2>you know, really, really need to be super tight. It's

0:34:35.750 --> 0:34:38.409
<v Speaker 2>also the really affluent consumers want to use it too

0:34:38.419 --> 0:34:39.969
<v Speaker 2>because they see it as a way of, ok, I'm

0:34:39.979 --> 0:34:42.120
<v Speaker 2>going to go to Japan. I love this exchange

0:34:42.219 --> 0:34:44.679
<v Speaker 2>right now. I'm gonna already buy my yen in advance.

0:34:44.689 --> 0:34:46.959
<v Speaker 2>I know what my exchange rate is. And then you

0:34:46.969 --> 0:34:48.709
<v Speaker 2>feel a little bit, you could argue, maybe it would

0:34:48.719 --> 0:34:51.479
<v Speaker 2>be a sense of extra security around it too, of

0:34:51.489 --> 0:34:55.120
<v Speaker 2>using something that's prepaid when you're traveling. And of course,

0:34:55.129 --> 0:34:58.689
<v Speaker 2>the acceptance points with the example of U Tripp is everywhere,

0:34:58.699 --> 0:34:59.229
<v Speaker 2>Mastercard

0:34:59.239 --> 0:35:03.479
<v Speaker 1>is accepted. I see, I see. Um and uh related

0:35:03.489 --> 0:35:05.320
<v Speaker 1>to payments is of course security.

0:35:05.729 --> 0:35:08.029
<v Speaker 1>I mean, not a day goes by that we don't

0:35:08.040 --> 0:35:12.219
<v Speaker 1>hear things about, you know, the ransomware and fishing and

0:35:12.429 --> 0:35:16.169
<v Speaker 1>uh scams and so on. I'm sure this is something

0:35:16.229 --> 0:35:18.699
<v Speaker 1>that mastercard has to worry about in a real time

0:35:19.209 --> 0:35:22.560
<v Speaker 1>second by second basis. So give us a sense of

0:35:22.570 --> 0:35:25.350
<v Speaker 1>your challenges and your solutions.

0:35:26.100 --> 0:35:28.899
<v Speaker 2>I would say that the, when we think about the

0:35:28.909 --> 0:35:32.360
<v Speaker 2>global business, the mascot has got the core payments division.

0:35:32.370 --> 0:35:35.759
<v Speaker 2>Of course, the what everyone assumes that's all there is.

0:35:35.770 --> 0:35:38.330
<v Speaker 2>And then you have services and the services part has

0:35:38.340 --> 0:35:42.080
<v Speaker 2>been the one that's been growing rapidly. And particularly of course,

0:35:42.090 --> 0:35:44.120
<v Speaker 2>the cyber and intelligence sort of group

0:35:44.219 --> 0:35:47.120
<v Speaker 2>to your point as we've seen this rise of digital

0:35:47.129 --> 0:35:49.969
<v Speaker 2>payments of e commerce, we also have been seeing the

0:35:49.979 --> 0:35:54.020
<v Speaker 2>rise in the security risks that go alongside that and

0:35:54.030 --> 0:35:57.159
<v Speaker 2>any way of particularly say, feeling more secure when making

0:35:57.169 --> 0:35:59.729
<v Speaker 2>those payments, of course, that's the key thing that we've

0:35:59.739 --> 0:36:02.189
<v Speaker 2>really been focusing on in a very big way.

0:36:02.739 --> 0:36:04.879
<v Speaker 2>So a great example of this was say, click to

0:36:04.889 --> 0:36:08.070
<v Speaker 2>pay that was launched not that long ago or tokenisation.

0:36:08.169 --> 0:36:11.620
<v Speaker 2>So imagine something where you're much more secure online because

0:36:11.629 --> 0:36:13.770
<v Speaker 2>let's say uh in the past, you would have say

0:36:13.780 --> 0:36:16.770
<v Speaker 2>left a card on file with a merchant instead of

0:36:16.780 --> 0:36:19.600
<v Speaker 2>leaving your actual card details with them. Think of it

0:36:19.610 --> 0:36:22.439
<v Speaker 2>instead as you can just leave a token with them

0:36:22.929 --> 0:36:26.279
<v Speaker 2>where even if that is somehow intercepted or taken at

0:36:26.290 --> 0:36:29.149
<v Speaker 2>some point later, it only works with that merchant anyway,

0:36:29.159 --> 0:36:32.549
<v Speaker 2>it's worthless to anyone else. And so coming up with

0:36:32.560 --> 0:36:36.689
<v Speaker 2>more of those uh solutions for tokenization for confirming a

0:36:36.699 --> 0:36:40.399
<v Speaker 2>digital identity, in particular, the combination of all types of

0:36:40.409 --> 0:36:43.029
<v Speaker 2>things that we see are coming through. That's something that

0:36:43.040 --> 0:36:44.929
<v Speaker 2>Mastercard has been doing a huge amount of work on

0:36:44.939 --> 0:36:45.590
<v Speaker 2>this whole,

0:36:45.715 --> 0:36:48.334
<v Speaker 2>teams of people that are very, very focused on that

0:36:48.344 --> 0:36:53.074
<v Speaker 2>on the spotting fraud, particularly in e commerce using all

0:36:53.084 --> 0:36:55.734
<v Speaker 2>types of machine learning or A I, you name it.

0:36:55.925 --> 0:36:58.854
<v Speaker 2>That is a very, very big part. On the security side,

0:36:59.024 --> 0:37:01.155
<v Speaker 2>the other parts though on the services division that I

0:37:01.165 --> 0:37:04.814
<v Speaker 2>hadn't realized even myself until joining that are so dominant

0:37:04.824 --> 0:37:07.614
<v Speaker 2>are on the marketing services to be able to help

0:37:08.770 --> 0:37:11.759
<v Speaker 2>a retailer add more customers or it could be any

0:37:11.770 --> 0:37:13.750
<v Speaker 2>type of entity. Actually, it could be an F I

0:37:13.760 --> 0:37:18.339
<v Speaker 2>as well or indeed the loyalty programs where we run

0:37:18.429 --> 0:37:21.060
<v Speaker 2>billions of points around the world and making those sort

0:37:21.070 --> 0:37:23.770
<v Speaker 2>of much more seamless and really get used and drive

0:37:23.780 --> 0:37:26.739
<v Speaker 2>a lot more of the loyalty of consumers knowing that

0:37:26.750 --> 0:37:29.790
<v Speaker 2>also that since the pandemic, we have been seeing an

0:37:29.800 --> 0:37:30.459
<v Speaker 2>increase in

0:37:30.540 --> 0:37:33.699
<v Speaker 2>the in many markets, Australia is a good example where

0:37:33.709 --> 0:37:36.360
<v Speaker 2>we looked at this recently of the share of all

0:37:36.370 --> 0:37:38.399
<v Speaker 2>the cards outstanding that are shopping at more than a

0:37:38.409 --> 0:37:41.860
<v Speaker 2>set number of merchants, let's say 20 or 30 that

0:37:41.870 --> 0:37:45.089
<v Speaker 2>share has been going up since 2019. Now part of

0:37:45.100 --> 0:37:47.270
<v Speaker 2>it could be, well, there's just more say maybe ecommerce

0:37:47.280 --> 0:37:50.189
<v Speaker 2>providers out there. But part of it also is people

0:37:50.199 --> 0:37:52.239
<v Speaker 2>are changing their spending habits because

0:37:52.780 --> 0:37:56.029
<v Speaker 2>in some places, we have hybrid work. So instead of

0:37:56.040 --> 0:37:59.500
<v Speaker 2>everyone coming in the same routine every day, Monday to Friday,

0:37:59.590 --> 0:38:01.638
<v Speaker 2>if they have a bit more variety in that, there's

0:38:01.649 --> 0:38:04.449
<v Speaker 2>also a variety of where people are even living working

0:38:04.459 --> 0:38:06.629
<v Speaker 2>and spending depending on which part of the world we're

0:38:06.639 --> 0:38:08.360
<v Speaker 2>talking about. I think it was much more of an

0:38:08.370 --> 0:38:11.100
<v Speaker 2>obvious story that was much stronger in say London or

0:38:11.110 --> 0:38:14.610
<v Speaker 2>New York or even Melbourne Sydney than say was the

0:38:14.620 --> 0:38:16.979
<v Speaker 2>case here in Singapore. But we even see evidence of

0:38:16.989 --> 0:38:17.889
<v Speaker 2>it say in Hong Kong.

0:38:19.300 --> 0:38:22.350
<v Speaker 2>So that, that's another, if I sort of run through

0:38:22.360 --> 0:38:25.030
<v Speaker 2>the list of the different services that, that, that, that

0:38:25.050 --> 0:38:29.379
<v Speaker 2>services division, let's say really counts uh included in its business.

0:38:29.449 --> 0:38:32.909
<v Speaker 2>Definitely the, the, the, the security and the cyber cyber

0:38:32.919 --> 0:38:34.949
<v Speaker 2>security is, is, is very high up on the list. Uh,

0:38:35.010 --> 0:38:39.000
<v Speaker 2>loyalty marketing. The other ones are interesting in that there is,

0:38:39.010 --> 0:38:42.340
<v Speaker 2>uh we bought yield last year, a personalization service to

0:38:42.350 --> 0:38:43.919
<v Speaker 2>be able to try and help

0:38:44.085 --> 0:38:46.476
<v Speaker 2>a lot of folks trying to get a lot more

0:38:46.486 --> 0:38:49.105
<v Speaker 2>of the right sort of offers and, and uh and

0:38:49.114 --> 0:38:52.736
<v Speaker 2>show the right things to consumers and do it in a,

0:38:52.746 --> 0:38:55.166
<v Speaker 2>in a real time testing environment and then separate to

0:38:55.176 --> 0:38:57.565
<v Speaker 2>that is a test and learn where they do experimentation

0:38:57.575 --> 0:39:00.625
<v Speaker 2>for businesses which you can run regularly to be able to,

0:39:00.635 --> 0:39:02.625
<v Speaker 2>even if it's just to get a little bit more

0:39:02.635 --> 0:39:05.864
<v Speaker 2>of uh enhance your business because maybe you're changing what

0:39:05.875 --> 0:39:08.344
<v Speaker 2>you change your prices on even to try and do

0:39:08.355 --> 0:39:09.345
<v Speaker 2>it with a scientific

0:39:09.791 --> 0:39:13.051
<v Speaker 2>evidence based work on the back of that to test

0:39:13.062 --> 0:39:15.872
<v Speaker 2>A B testing in that way. That's another offering that's

0:39:15.882 --> 0:39:17.812
<v Speaker 2>been going down very well worldwide. Actually,

0:39:18.031 --> 0:39:18.362
<v Speaker 1>that's

0:39:18.372 --> 0:39:21.352
<v Speaker 1>absolutely fascinating. One more facet around that is of course,

0:39:21.362 --> 0:39:25.440
<v Speaker 1>data privacy. You obviously hold a huge amount of sensitive

0:39:25.451 --> 0:39:29.592
<v Speaker 1>financial data of consumers all around the world and starting

0:39:29.602 --> 0:39:31.852
<v Speaker 1>with the EU but becoming a broader trend is this

0:39:31.862 --> 0:39:34.770
<v Speaker 1>issue of data privacy that you know, countries are asking

0:39:35.300 --> 0:39:39.510
<v Speaker 1>companies like yours to have servers, domestically localized servers can

0:39:39.520 --> 0:39:42.000
<v Speaker 1>share the data across jurisdiction and so on. But I

0:39:42.010 --> 0:39:43.649
<v Speaker 1>would think that this is a particular challenge for a

0:39:43.659 --> 0:39:46.299
<v Speaker 1>company like mastercard, which is truly global in nature. I

0:39:46.310 --> 0:39:48.699
<v Speaker 1>can have a Mastercard issued in Singapore, but I want

0:39:48.709 --> 0:39:50.799
<v Speaker 1>to use it all over the world. But if Singapore

0:39:50.810 --> 0:39:53.699
<v Speaker 1>demands all the data to be stored in Singapore, can

0:39:53.709 --> 0:39:56.860
<v Speaker 1>you run risk analytics of my expenditure pattern across the

0:39:56.870 --> 0:39:58.239
<v Speaker 1>border or do you have to like

0:39:58.669 --> 0:40:01.000
<v Speaker 1>bring the data back to Singapore all the time? And

0:40:01.010 --> 0:40:03.129
<v Speaker 1>does it then add extra costs of doing business?

0:40:03.139 --> 0:40:03.770
<v Speaker 2>Well, it

0:40:03.780 --> 0:40:06.459
<v Speaker 2>probably is the sort of thing where you know each

0:40:06.469 --> 0:40:09.409
<v Speaker 2>location has their own regulation and of course, that's the

0:40:09.419 --> 0:40:12.949
<v Speaker 2>regulation that we follow very well. And in some cases,

0:40:12.959 --> 0:40:16.459
<v Speaker 2>it does add extra layers to the process, of course.

0:40:16.590 --> 0:40:18.629
<v Speaker 2>But the key thing I would stress is that even

0:40:18.639 --> 0:40:20.550
<v Speaker 2>with say what, what you know, what we would be

0:40:20.560 --> 0:40:24.219
<v Speaker 2>working with, it's all been already through the system

0:40:24.695 --> 0:40:30.264
<v Speaker 2>privacy filtered, we already it's aggregated and anonymized versions of everything.

0:40:30.455 --> 0:40:32.804
<v Speaker 2>And I think so on that front, in terms of

0:40:32.814 --> 0:40:35.425
<v Speaker 2>what the policies are, I think I've been really impressed

0:40:35.435 --> 0:40:38.714
<v Speaker 2>actually with just how much time and attention and care

0:40:38.725 --> 0:40:43.574
<v Speaker 2>is really paid onto those sort of areas. But yes,

0:40:43.655 --> 0:40:47.044
<v Speaker 2>of course, if there's a different regulation that newly comes in,

0:40:47.054 --> 0:40:49.415
<v Speaker 2>then you've got to of course change what you do

0:40:49.425 --> 0:40:50.635
<v Speaker 2>on the back of that. Right.

0:40:50.889 --> 0:40:54.600
<v Speaker 1>Um But in terms of policymakers around the world, being

0:40:54.610 --> 0:40:58.580
<v Speaker 1>in support of innovation in digital payments settlement and so on.

0:40:58.750 --> 0:41:01.310
<v Speaker 1>What's your sense that 10 years ago, it was a

0:41:01.320 --> 0:41:03.790
<v Speaker 1>bit of a wild west and now it's kind of

0:41:03.800 --> 0:41:06.830
<v Speaker 1>a level playing field between banks, non banks and other

0:41:06.840 --> 0:41:09.060
<v Speaker 1>start ups, or do you still feel that there's a

0:41:09.070 --> 0:41:10.850
<v Speaker 1>lot of arbitrage going on in the system?

0:41:11.300 --> 0:41:15.009
<v Speaker 2>Um Well, I think the probably the most interesting stories

0:41:15.020 --> 0:41:18.020
<v Speaker 2>that we see everywhere around the world probably would, would

0:41:18.030 --> 0:41:18.949
<v Speaker 2>come into

0:41:19.370 --> 0:41:24.129
<v Speaker 2>uh seeing a lot of innovation taking place maybe inside

0:41:24.139 --> 0:41:26.060
<v Speaker 2>but a lot of the times also outside say the

0:41:26.070 --> 0:41:28.659
<v Speaker 2>regular banks, but then the banks seeing, ok, this is

0:41:28.669 --> 0:41:31.449
<v Speaker 2>a good use case we can adopt that too. And

0:41:31.459 --> 0:41:33.540
<v Speaker 2>then there's competition that comes in and then some of

0:41:33.550 --> 0:41:36.280
<v Speaker 2>the challenges that creep in can come from the fact

0:41:36.290 --> 0:41:38.750
<v Speaker 2>that actually for say a lot of the um the

0:41:38.760 --> 0:41:42.540
<v Speaker 2>the challenger, new entities, the new say digital banks or

0:41:42.550 --> 0:41:44.879
<v Speaker 2>any of the other groups that are trying to see

0:41:44.889 --> 0:41:47.560
<v Speaker 2>how they can play a role in in various,

0:41:48.639 --> 0:41:51.299
<v Speaker 2>of course, there is an advantage of being that those

0:41:51.310 --> 0:41:53.479
<v Speaker 2>bigger players, right? You have the lower cost of funding,

0:41:53.489 --> 0:41:56.350
<v Speaker 2>for example, that really can be a big advantage almost

0:41:56.360 --> 0:41:59.389
<v Speaker 2>anywhere I could think of. But I think that innovation

0:41:59.399 --> 0:42:02.100
<v Speaker 2>is not just happening outside. I think even a lot

0:42:02.110 --> 0:42:04.929
<v Speaker 2>of the banks are really paying serious attention because they're

0:42:04.939 --> 0:42:08.189
<v Speaker 2>seeing what's going on elsewhere. They're realizing that they need

0:42:08.199 --> 0:42:11.120
<v Speaker 2>to at least have say, let's take the average app

0:42:11.129 --> 0:42:14.189
<v Speaker 2>that people use when they are doing banking, they want

0:42:14.199 --> 0:42:16.110
<v Speaker 2>it to really work or when they want to make

0:42:16.120 --> 0:42:16.590
<v Speaker 2>a payment,

0:42:17.149 --> 0:42:20.969
<v Speaker 2>something that at least works every time for the extra authentication,

0:42:20.979 --> 0:42:23.270
<v Speaker 2>let's say in Singapore, you're making a payment, you go

0:42:23.280 --> 0:42:26.419
<v Speaker 2>to your banking app to authenticate that should be a

0:42:26.429 --> 0:42:29.409
<v Speaker 2>seamless enough process to try and find ways of making

0:42:29.419 --> 0:42:31.989
<v Speaker 2>it more efficient is really, I think something that all

0:42:32.000 --> 0:42:34.350
<v Speaker 2>the banks uh anywhere that I can think of, they

0:42:34.360 --> 0:42:37.370
<v Speaker 2>really are trying to do that as much as they can.

0:42:37.379 --> 0:42:39.739
<v Speaker 2>But of course, challenges come alongside that when you have

0:42:39.750 --> 0:42:40.649
<v Speaker 2>even more infrastructure

0:42:40.895 --> 0:42:44.344
<v Speaker 2>and legacy issues that can make it a little bit slower.

0:42:44.354 --> 0:42:47.145
<v Speaker 2>So there's, there are pros and cons depending on which

0:42:47.155 --> 0:42:48.975
<v Speaker 2>part of the ecosystem you're really sitting in, I would

0:42:48.985 --> 0:42:50.034
<v Speaker 2>say right,

0:42:50.155 --> 0:42:54.444
<v Speaker 1>right earlier, when we were talking about consumers around the world,

0:42:54.455 --> 0:42:58.264
<v Speaker 1>you touched upon us, consumers who got the biggest cash

0:42:58.274 --> 0:43:03.834
<v Speaker 1>bonanza possible in history during the 2020 21 pandemic response.

0:43:03.844 --> 0:43:04.185
<v Speaker 1>And

0:43:04.580 --> 0:43:07.939
<v Speaker 1>we've seen fairly profound impact of that in consumption patterns.

0:43:08.040 --> 0:43:10.949
<v Speaker 1>To your point, some of the savings has been worked off.

0:43:11.300 --> 0:43:14.060
<v Speaker 1>Um What's your sense in your data? What do you

0:43:14.070 --> 0:43:17.899
<v Speaker 1>see in terms of American consumer spending pattern and where

0:43:17.909 --> 0:43:20.678
<v Speaker 1>do they stand right now? What's the outlook of spending.

0:43:21.040 --> 0:43:24.100
<v Speaker 2>Yeah, it's, I mean, certainly we're, it's not as strong

0:43:24.110 --> 0:43:26.520
<v Speaker 2>as it was, but at the same time, we're also

0:43:26.530 --> 0:43:29.429
<v Speaker 2>not seeing any collapses. I think it's sort of settling

0:43:29.439 --> 0:43:32.889
<v Speaker 2>down in that way where you, where we're going back,

0:43:33.100 --> 0:43:36.750
<v Speaker 2>going towards a sort of sustainable pace of growth. And

0:43:36.760 --> 0:43:37.179
<v Speaker 2>I think

0:43:37.389 --> 0:43:40.610
<v Speaker 2>in, in that way to your point, the amount of, of, of,

0:43:40.620 --> 0:43:43.360
<v Speaker 2>you know, the kitchen sink and the kitchen being thrown

0:43:43.370 --> 0:43:47.129
<v Speaker 2>at fiscal policy stimulus across multiple advanced economies around the

0:43:47.139 --> 0:43:50.370
<v Speaker 2>world was this extra point about the bungee jump that

0:43:50.379 --> 0:43:53.779
<v Speaker 2>was so disorientating to have had the lagged impact of

0:43:53.790 --> 0:43:55.500
<v Speaker 2>having all this extra buffer.

0:43:56.679 --> 0:43:58.370
<v Speaker 2>I think the key part there will will come down

0:43:58.379 --> 0:44:00.820
<v Speaker 2>to the jobs market that so far it has been

0:44:00.830 --> 0:44:05.310
<v Speaker 2>showing very, very mild signs of softening but from ultra

0:44:05.320 --> 0:44:09.290
<v Speaker 2>tight to just still tight, it's still a good position

0:44:09.300 --> 0:44:12.219
<v Speaker 2>to be in. Uh I think the challenge uh will

0:44:12.229 --> 0:44:15.540
<v Speaker 2>will be over the next 12 months or so that

0:44:15.719 --> 0:44:18.090
<v Speaker 2>we if we don't see any rate cuts,

0:44:18.510 --> 0:44:21.330
<v Speaker 2>then of course, that adds to the extra financial pressures.

0:44:21.340 --> 0:44:23.330
<v Speaker 2>And it's interesting in the case of the US is

0:44:23.340 --> 0:44:25.529
<v Speaker 2>not as painful as it is say elsewhere on say

0:44:25.540 --> 0:44:28.010
<v Speaker 2>mortgage rates, right? It would be of course for someone

0:44:28.020 --> 0:44:30.060
<v Speaker 2>trying to take out a new mortgage where they have

0:44:30.070 --> 0:44:32.989
<v Speaker 2>to then take the prevailing interest rate that they could

0:44:33.000 --> 0:44:36.060
<v Speaker 2>lock in for 30 years. But actually all the existing

0:44:36.070 --> 0:44:36.810
<v Speaker 2>mortgage holders

0:44:36.895 --> 0:44:38.924
<v Speaker 2>be holding off. But that actually creates a bit of

0:44:38.935 --> 0:44:42.154
<v Speaker 2>an interesting challenge here because if you're not choosing to

0:44:42.165 --> 0:44:46.114
<v Speaker 2>move and there's therefore less supply less people selling as well,

0:44:46.125 --> 0:44:48.395
<v Speaker 2>you get some weird dynamics that creep in in the

0:44:48.405 --> 0:44:51.014
<v Speaker 2>market at that point. And then maybe people end up saying, well,

0:44:51.024 --> 0:44:53.155
<v Speaker 2>I have to rent or I'll just buy it whatever

0:44:53.294 --> 0:44:55.185
<v Speaker 2>that I can actually get. Um,

0:44:55.639 --> 0:44:57.580
<v Speaker 2>on the assumption that rates come down and they can

0:44:57.590 --> 0:45:00.580
<v Speaker 2>then refinance later in other places. Let's say most of

0:45:00.590 --> 0:45:03.489
<v Speaker 2>the rest of the world by now, we have pretty

0:45:03.500 --> 0:45:06.320
<v Speaker 2>much finished, not everyone, some people got say five year deals,

0:45:06.330 --> 0:45:10.149
<v Speaker 2>but most people have probably finished whatever fixed rate, low

0:45:10.159 --> 0:45:12.500
<v Speaker 2>fixed rate mortgage they might have taken out during the

0:45:12.510 --> 0:45:14.129
<v Speaker 2>sweet spot time a few years ago

0:45:14.370 --> 0:45:16.810
<v Speaker 2>and therefore they're at the higher rate. But I would

0:45:16.820 --> 0:45:18.949
<v Speaker 2>stress this is another point of the bungee jump here

0:45:18.959 --> 0:45:21.030
<v Speaker 2>once we do get those rate cuts and they've already

0:45:21.040 --> 0:45:23.839
<v Speaker 2>got going. We think, uh that they, they, they should

0:45:23.850 --> 0:45:26.239
<v Speaker 2>keep going in Europe. We think we'll get going in

0:45:26.250 --> 0:45:28.469
<v Speaker 2>the US by the end of the year. That should

0:45:28.479 --> 0:45:33.189
<v Speaker 2>mean that everyone benefits simultaneously as opposed to on the

0:45:33.199 --> 0:45:36.669
<v Speaker 2>way up when many mortgagees were, say

0:45:37.239 --> 0:45:39.860
<v Speaker 2>it's able to benefit from not feeling any of that.

0:45:40.070 --> 0:45:42.429
<v Speaker 2>And only eventually they started to feel it when you

0:45:42.439 --> 0:45:44.540
<v Speaker 2>get a rate cut, it should benefit all at the

0:45:44.550 --> 0:45:46.360
<v Speaker 2>same time. Of course, the flip side of that would

0:45:46.370 --> 0:45:50.340
<v Speaker 2>be true as well. If for whatever reason, in a scenario,

0:45:50.350 --> 0:45:52.989
<v Speaker 2>not our view at all that you get a hike,

0:45:53.000 --> 0:45:55.070
<v Speaker 2>then also the pain would be quite simultaneous.

0:45:55.100 --> 0:45:55.270
<v Speaker 1>Right.

0:45:55.280 --> 0:45:58.040
<v Speaker 1>So you are in the no recession camp. That's amply clear.

0:45:58.050 --> 0:45:58.330
<v Speaker 2>Yes.

0:45:58.790 --> 0:45:59.459
<v Speaker 2>Yes, we are

0:45:59.780 --> 0:46:04.919
<v Speaker 1>um, around the world. Um, there are jurisdictions where leverage

0:46:04.929 --> 0:46:08.439
<v Speaker 1>is higher than the American consumer leverage. American households and

0:46:08.449 --> 0:46:12.520
<v Speaker 1>corporations deleverage substantially in the aftermath of the global financial crisis.

0:46:12.530 --> 0:46:14.540
<v Speaker 1>So that could be another mitigating factor that the debt

0:46:14.550 --> 0:46:17.389
<v Speaker 1>service ratio is not particularly high. But then when I

0:46:17.399 --> 0:46:20.459
<v Speaker 1>think about European consumers or Korean consumers for that matter

0:46:20.469 --> 0:46:23.270
<v Speaker 1>or consumers in Hong Kong, it's a very different proposition.

0:46:23.510 --> 0:46:27.029
<v Speaker 1>So really that any insights on Korea or Europe, that

0:46:27.040 --> 0:46:29.870
<v Speaker 1>their consumption seems to be a little more restrained than

0:46:29.879 --> 0:46:30.239
<v Speaker 1>it is in the

0:46:30.250 --> 0:46:30.760
<v Speaker 1>US.

0:46:30.939 --> 0:46:33.889
<v Speaker 2>Yeah. Well, I think straight away that point as I

0:46:33.899 --> 0:46:37.929
<v Speaker 2>mentioned that the US benefits from is exactly not the

0:46:37.939 --> 0:46:43.090
<v Speaker 2>case in those locations. You mentioned Australia and New Zealand

0:46:43.100 --> 0:46:47.370
<v Speaker 2>also have these relatively high levels also on leverage. And

0:46:47.379 --> 0:46:50.000
<v Speaker 2>therefore the longer you have interest rates as high as

0:46:50.010 --> 0:46:53.090
<v Speaker 2>they are even more of the prolonged

0:46:53.300 --> 0:46:56.600
<v Speaker 2>say burden uh means that eventually you start to see

0:46:56.610 --> 0:46:59.388
<v Speaker 2>a few more cracks coming through. But that's actually part

0:46:59.399 --> 0:47:03.280
<v Speaker 2>of the whole uh policy objective here to actually calm

0:47:03.290 --> 0:47:06.350
<v Speaker 2>down inflation. That's the the the key cha one of

0:47:06.360 --> 0:47:09.040
<v Speaker 2>the key channels that's actually being used for it alongside,

0:47:09.050 --> 0:47:11.638
<v Speaker 2>of course, expecting to see some softening in the labor market.

0:47:11.649 --> 0:47:14.340
<v Speaker 2>So I think in all those locations, actually, I think

0:47:14.350 --> 0:47:16.679
<v Speaker 2>Hong Kong is one that I think is a, is

0:47:16.689 --> 0:47:19.360
<v Speaker 2>a standout from another point of view, which is we've

0:47:19.370 --> 0:47:22.260
<v Speaker 2>now seen a full removal of all property market cooling

0:47:22.270 --> 0:47:22.959
<v Speaker 2>measures there.

0:47:23.669 --> 0:47:27.370
<v Speaker 2>Um And yet we've not been seeing certainly prices making

0:47:27.379 --> 0:47:30.370
<v Speaker 2>a major recovery. We saw activity that made them come

0:47:30.379 --> 0:47:34.049
<v Speaker 2>back but not on prices. The other challenge that Hong

0:47:34.060 --> 0:47:35.840
<v Speaker 2>Kong has and it's a bit of a challenge even

0:47:35.850 --> 0:47:39.219
<v Speaker 2>for Singapore too is with the also the move in

0:47:39.229 --> 0:47:42.469
<v Speaker 2>FX Hong Kong dollar against Renminbi, move N FX Singapore

0:47:42.479 --> 0:47:46.659
<v Speaker 2>dollar against Malaysian Ringgit. We've also been seeing some evidence

0:47:46.669 --> 0:47:49.979
<v Speaker 2>of some leaking of spending cross border

0:47:50.469 --> 0:47:53.889
<v Speaker 2>and in particular when, when we see some of the, the, the,

0:47:53.899 --> 0:47:56.959
<v Speaker 2>you know, talk to people and they'll generally, they'll say

0:47:56.969 --> 0:47:59.449
<v Speaker 2>either they were or they know someone who did uh

0:47:59.459 --> 0:48:02.169
<v Speaker 2>cross over into the rest of the Greater Bay area

0:48:02.310 --> 0:48:05.209
<v Speaker 2>and was spending on and it could be all kinds of, of,

0:48:05.219 --> 0:48:08.290
<v Speaker 2>of goods and services. Uh People even say doing groceries.

0:48:08.780 --> 0:48:11.790
<v Speaker 2>Uh And I think that's the interesting angle as well

0:48:11.800 --> 0:48:15.299
<v Speaker 2>that with some of the ease of transportation that has

0:48:15.310 --> 0:48:17.649
<v Speaker 2>gone up, say for the case of Hong Kong with

0:48:17.659 --> 0:48:20.169
<v Speaker 2>the Greater Bay Area integration or in the case of

0:48:20.179 --> 0:48:22.199
<v Speaker 2>say with Singapore, we're just a couple of years away

0:48:22.209 --> 0:48:24.500
<v Speaker 2>from having a train connection where it will be that

0:48:24.510 --> 0:48:26.840
<v Speaker 2>easy to go back and forth. It does mean that

0:48:26.850 --> 0:48:28.799
<v Speaker 2>you then spread out some of the spending.

0:48:28.909 --> 0:48:30.520
<v Speaker 2>Of course, you would expect it to come back the

0:48:30.530 --> 0:48:33.080
<v Speaker 2>other way. But it's a bit more challenged with the

0:48:33.090 --> 0:48:35.899
<v Speaker 2>FX rates being, having moved in the directions that we've

0:48:35.909 --> 0:48:37.830
<v Speaker 2>seen in the last year or two.

0:48:37.840 --> 0:48:42.050
<v Speaker 1>Right. So I think those two are the most prominent examples,

0:48:42.060 --> 0:48:46.030
<v Speaker 1>Hong Kong, Shenzhen, Singapore, Johor. I think Shanghai Tokyo seems

0:48:46.040 --> 0:48:48.729
<v Speaker 1>to be another 1 may not be that obvious. But

0:48:48.739 --> 0:48:48.929
<v Speaker 1>you know,

0:48:49.260 --> 0:48:50.909
<v Speaker 1>at least when I was in China, it felt like

0:48:50.919 --> 0:48:53.669
<v Speaker 1>it maybe not for groceries, not for groceries, but maybe

0:48:53.679 --> 0:48:59.100
<v Speaker 1>for sushi uh David um outlook uh looking at the

0:48:59.110 --> 0:49:01.709
<v Speaker 1>spending patterns in the first half of the year. What's

0:49:01.719 --> 0:49:04.620
<v Speaker 1>your sense for Asian travel and tourism? You said that

0:49:04.629 --> 0:49:07.760
<v Speaker 1>other than a few jurisdictions, we're not back to prepa

0:49:08.090 --> 0:49:09.100
<v Speaker 1>volume passenger.

0:49:09.330 --> 0:49:11.830
<v Speaker 1>Are you optimistic that we're by the time December of

0:49:11.840 --> 0:49:13.219
<v Speaker 1>2024 comes, we'll be back to

0:49:13.229 --> 0:49:13.580
<v Speaker 1>par.

0:49:14.070 --> 0:49:16.590
<v Speaker 2>Well, the first thing, maybe I'll start with the travel

0:49:16.600 --> 0:49:18.669
<v Speaker 2>and then talk about on the on the spending trends

0:49:18.679 --> 0:49:22.029
<v Speaker 2>themselves um on the travel front. And as we mentioned

0:49:22.040 --> 0:49:25.590
<v Speaker 2>in the travel report, that's on the Economics Institute website,

0:49:25.600 --> 0:49:28.989
<v Speaker 2>the the services website, we actually pointed out that nine

0:49:29.000 --> 0:49:31.870
<v Speaker 2>out of the 10 busiest travel days in history happened,

0:49:32.479 --> 0:49:35.340
<v Speaker 2>I think it was this year. So we are still

0:49:35.350 --> 0:49:38.580
<v Speaker 2>doing very, very well. On how much we're seeing the

0:49:38.590 --> 0:49:41.790
<v Speaker 2>strength of travel demand, even having not fully recovered in

0:49:41.800 --> 0:49:44.620
<v Speaker 2>this region. So there's more legs to that, we would

0:49:44.629 --> 0:49:47.100
<v Speaker 2>argue that we will see even more of the tourism recovery.

0:49:47.110 --> 0:49:51.350
<v Speaker 2>It's a persistent trend of consumer behavior that that seems

0:49:51.360 --> 0:49:55.060
<v Speaker 2>to have been a big moments of reflection during the pandemic,

0:49:55.070 --> 0:49:55.459
<v Speaker 2>turning

0:49:55.830 --> 0:49:58.629
<v Speaker 2>more towards the being mode over the having mode. You

0:49:58.639 --> 0:50:01.049
<v Speaker 2>could argue apart from when going to Japan and also

0:50:01.120 --> 0:50:04.840
<v Speaker 2>retail therapy kicks right back in again. And that full recovery,

0:50:04.850 --> 0:50:07.409
<v Speaker 2>I think will keep going. And particularly that strength of

0:50:07.419 --> 0:50:10.330
<v Speaker 2>the consumer from India, the fastest growing major market in

0:50:10.340 --> 0:50:13.359
<v Speaker 2>the world that could if it can get to 7%

0:50:13.370 --> 0:50:16.129
<v Speaker 2>GDP growth, that would double its economy every 10 years.

0:50:16.139 --> 0:50:18.689
<v Speaker 2>It's not quite there but could could could get there.

0:50:18.959 --> 0:50:21.260
<v Speaker 2>Um That I think the travel side I think is

0:50:21.270 --> 0:50:24.969
<v Speaker 2>still looking pretty good that that persistent demand now with

0:50:24.979 --> 0:50:28.989
<v Speaker 2>broader consumer trends to enable some of that travel, with

0:50:29.000 --> 0:50:32.199
<v Speaker 2>all these challenges we've been talking about, of course, still

0:50:32.209 --> 0:50:34.500
<v Speaker 2>having a job and the labor market being strong matters,

0:50:34.510 --> 0:50:37.479
<v Speaker 2>some excess savings that matters, but also some trading down

0:50:37.489 --> 0:50:39.870
<v Speaker 2>has been taking place. And that comes into the story

0:50:39.879 --> 0:50:43.239
<v Speaker 2>about what are we seeing on the wallet shares themselves?

0:50:43.389 --> 0:50:47.020
<v Speaker 2>And we actually drew a doughnut type chart in the

0:50:47.395 --> 0:50:50.375
<v Speaker 2>2024 report with the Asia Pacific section. It's also on

0:50:50.385 --> 0:50:53.574
<v Speaker 2>the website where we looked at mass market consumers and

0:50:53.584 --> 0:50:56.655
<v Speaker 2>affluent consumers. And we saw the rise in the share

0:50:56.665 --> 0:50:59.475
<v Speaker 2>of spending on essentials compared to 2019 as a share

0:50:59.485 --> 0:51:03.084
<v Speaker 2>of the wallet for both. And in general, let's maybe

0:51:03.094 --> 0:51:06.114
<v Speaker 2>let's give Singapore as a worked example. We did also

0:51:06.125 --> 0:51:07.604
<v Speaker 2>see the share of wallet

0:51:08.360 --> 0:51:10.979
<v Speaker 2>accounted for by food was eating into the wallet share.

0:51:10.989 --> 0:51:12.969
<v Speaker 2>Food has been eating into the wallet share. That's the

0:51:12.979 --> 0:51:16.100
<v Speaker 2>bottom line here, whether it's on dining or groceries. And

0:51:16.110 --> 0:51:18.399
<v Speaker 2>we know on groceries when we look at places that

0:51:18.409 --> 0:51:21.939
<v Speaker 2>do offer volume versus value numbers. Apart from the boom

0:51:21.949 --> 0:51:24.389
<v Speaker 2>during the pandemic, where you saw people say buying uh

0:51:24.399 --> 0:51:26.090
<v Speaker 2>toilet paper and loading up

0:51:26.139 --> 0:51:28.610
<v Speaker 2>on tinned food. Maybe we've not really been seeing a

0:51:28.620 --> 0:51:31.570
<v Speaker 2>boom in volumes and therefore it's just been some trading down,

0:51:31.580 --> 0:51:35.229
<v Speaker 2>maybe moving from the branded to generic products to try

0:51:35.239 --> 0:51:39.250
<v Speaker 2>to counter the rise in the cost of those essential items.

0:51:39.719 --> 0:51:43.120
<v Speaker 2>But delivery also food delivery ordering in is so much

0:51:43.129 --> 0:51:43.759
<v Speaker 2>easier

0:51:44.100 --> 0:51:47.000
<v Speaker 2>and also going out to restaurants. That's been the very,

0:51:47.010 --> 0:51:49.199
<v Speaker 2>I would say persistent trend. We even see it in

0:51:49.209 --> 0:51:52.479
<v Speaker 2>the Singapore retail sales data, the official numbers, they're they're

0:51:52.489 --> 0:51:55.040
<v Speaker 2>they're telling the similar sort of story that they're going

0:51:55.050 --> 0:51:58.300
<v Speaker 2>out and about to eat particularly though trading down though.

0:51:58.370 --> 0:52:01.040
<v Speaker 2>So it's not necessarily the broader, more

0:52:01.120 --> 0:52:03.879
<v Speaker 2>full service restaurants. It's more the quick service and more

0:52:03.889 --> 0:52:05.959
<v Speaker 2>say the Hawker Centers that have been doing a little

0:52:05.969 --> 0:52:09.360
<v Speaker 2>bit better. They're the out performers versus regular restaurants. So

0:52:09.370 --> 0:52:10.760
<v Speaker 2>we get a bit of a trade off there still

0:52:10.770 --> 0:52:12.560
<v Speaker 2>getting to go out and about. But I think you'll

0:52:12.570 --> 0:52:15.719
<v Speaker 2>still see that story while we still have this challenge

0:52:15.729 --> 0:52:18.060
<v Speaker 2>of the high cost of living and high interest rates.

0:52:18.350 --> 0:52:21.089
<v Speaker 1>So it's interesting on one hand, the affluent want more

0:52:21.100 --> 0:52:23.469
<v Speaker 1>experience and they want to go to the Michelin restaurants.

0:52:23.479 --> 0:52:25.850
<v Speaker 1>But on the other hand, for a vast number of

0:52:25.860 --> 0:52:28.399
<v Speaker 1>the population, the cost of living is hurting and they're

0:52:28.409 --> 0:52:32.050
<v Speaker 1>training down. So we actually have opposing dynamic within e society.

0:52:32.270 --> 0:52:34.810
<v Speaker 2>We are seeing that and a good example in the

0:52:34.820 --> 0:52:36.929
<v Speaker 2>case of say the US, we did see an out

0:52:36.939 --> 0:52:39.949
<v Speaker 2>performance of say the category of groceries in the budget

0:52:39.959 --> 0:52:42.489
<v Speaker 2>and compared to say the middle range or the higher

0:52:42.500 --> 0:52:46.009
<v Speaker 2>range even in 2023 that was already a broad story.

0:52:47.000 --> 0:52:51.580
<v Speaker 1>Uh David earlier, we were talking about um technological solutions

0:52:51.590 --> 0:52:54.509
<v Speaker 1>available to consumers for ecommerce and payments and so on.

0:52:54.520 --> 0:52:57.100
<v Speaker 1>And you talked about the B NPL and the complexities

0:52:57.110 --> 0:52:59.310
<v Speaker 1>around that. Then you talk about some of these cold

0:52:59.320 --> 0:53:02.500
<v Speaker 1>wallets that people are using to prepopulate their cards to

0:53:02.510 --> 0:53:05.159
<v Speaker 1>go shopping. Uh So my final question to you is

0:53:05.169 --> 0:53:09.060
<v Speaker 1>that just in terms of technology adoption, there's a lot

0:53:09.070 --> 0:53:12.169
<v Speaker 1>going on out there. Uh What are you seeing as

0:53:12.179 --> 0:53:15.699
<v Speaker 1>you know, interesting compelling trends out there?

0:53:16.209 --> 0:53:19.080
<v Speaker 2>Oh, wow. Well, I think a big one, of course

0:53:19.090 --> 0:53:22.299
<v Speaker 2>around the region has been on social commerce where you

0:53:22.310 --> 0:53:25.370
<v Speaker 2>could get quite a lot of sales coming through social

0:53:25.379 --> 0:53:29.379
<v Speaker 2>media networking channels. I think we'll see plenty more of

0:53:29.389 --> 0:53:32.590
<v Speaker 2>that again though. I think we'll also see in the

0:53:32.600 --> 0:53:35.419
<v Speaker 2>markets that had historically been a bit more biased towards

0:53:35.429 --> 0:53:38.429
<v Speaker 2>say yes, an ecommerce order. But then it's cash on

0:53:38.439 --> 0:53:42.310
<v Speaker 2>delivery that they find more and more ways of going

0:53:42.320 --> 0:53:44.590
<v Speaker 2>digital on the actual payment front.

0:53:44.729 --> 0:53:46.750
<v Speaker 2>Well, I think you'll see more and more of the,

0:53:46.760 --> 0:53:50.060
<v Speaker 2>it's interesting even those innovative companies, as I mentioned, like

0:53:50.070 --> 0:53:54.129
<v Speaker 2>say Youtrip, where you're seeing the prepaid idea but done

0:53:54.139 --> 0:53:56.750
<v Speaker 2>in a really slick way, enabling a lot more of

0:53:56.760 --> 0:54:00.009
<v Speaker 2>those payments and then leveraging a network such as ours

0:54:00.020 --> 0:54:02.909
<v Speaker 2>to be able to then go, you know, increasingly global

0:54:02.919 --> 0:54:04.679
<v Speaker 2>with it. I think you'll see a lot more of

0:54:04.689 --> 0:54:07.928
<v Speaker 2>those types of ideas coming through. The key challenge though

0:54:08.010 --> 0:54:10.429
<v Speaker 2>is that take the example of the buy now pay later.

0:54:10.560 --> 0:54:12.370
<v Speaker 2>The big challenge for a lot of those players that

0:54:12.379 --> 0:54:13.149
<v Speaker 2>didn't manage to,

0:54:13.250 --> 0:54:15.120
<v Speaker 2>you do as well was to do with the cost

0:54:15.129 --> 0:54:18.159
<v Speaker 2>of funding. Of course, the bungee jump story and these

0:54:18.169 --> 0:54:20.689
<v Speaker 2>huge swings in variables such as interest rates and the

0:54:20.699 --> 0:54:23.239
<v Speaker 2>cost of funding was not probably part of their assumption

0:54:23.409 --> 0:54:26.860
<v Speaker 2>as was the case. Even in say the for folks

0:54:26.870 --> 0:54:28.879
<v Speaker 2>who took out mortgages with a stress test that would

0:54:28.889 --> 0:54:31.069
<v Speaker 2>have been done a few years ago, we've gone through

0:54:31.080 --> 0:54:34.219
<v Speaker 2>the stress tests in multiple markets right now. So we're

0:54:34.229 --> 0:54:36.620
<v Speaker 2>in that, that stress period. So I think that the,

0:54:36.629 --> 0:54:40.069
<v Speaker 2>the new innovations need to also think through, as they

0:54:40.080 --> 0:54:41.629
<v Speaker 2>think through their business plan.

0:54:42.320 --> 0:54:44.989
<v Speaker 2>What about the scenarios that could be coming through? And

0:54:45.000 --> 0:54:47.419
<v Speaker 2>I think we didn't really talk too much. I think it's,

0:54:47.429 --> 0:54:50.219
<v Speaker 2>you know, it's probably material for some other time anyway,

0:54:50.229 --> 0:54:52.889
<v Speaker 2>on just the sheer volume of different, what else is

0:54:52.899 --> 0:54:56.040
<v Speaker 2>and what things should we really be worrying about? From

0:54:56.050 --> 0:54:59.179
<v Speaker 2>say the geopolitical lenses or from how long do interest

0:54:59.189 --> 0:55:01.459
<v Speaker 2>rates stay up? What if it stays here for an

0:55:01.469 --> 0:55:05.340
<v Speaker 2>even more uh prolonged period than we've already had? Can

0:55:05.350 --> 0:55:07.739
<v Speaker 2>you still say your business model is robust in those

0:55:07.750 --> 0:55:09.330
<v Speaker 2>sort of scenarios? And I think

0:55:09.939 --> 0:55:13.280
<v Speaker 2>companies are, I think getting a bit more savvy on

0:55:13.290 --> 0:55:14.959
<v Speaker 2>thinking through a lot of these things as well

0:55:15.080 --> 0:55:18.169
<v Speaker 1>savvy and perhaps worried because these are not easy challenges

0:55:18.179 --> 0:55:18.669
<v Speaker 1>to solve.

0:55:18.679 --> 0:55:18.959
<v Speaker 2>No,

0:55:18.969 --> 0:55:21.669
<v Speaker 2>no, not, not, not everything has an easy solution,

0:55:21.679 --> 0:55:21.870
<v Speaker 1>that's

0:55:21.879 --> 0:55:21.929
<v Speaker 2>for

0:55:21.939 --> 0:55:25.020
<v Speaker 1>sure. Not indeed indeed, David Mann. Thank you so much

0:55:25.030 --> 0:55:27.260
<v Speaker 1>for your time and insights. Thank you. It's great to

0:55:27.270 --> 0:55:29.479
<v Speaker 1>be here. Great to have you. Um Thanks

0:55:29.574 --> 0:55:32.235
<v Speaker 1>to our listeners as well. Copy time was produced by

0:55:32.245 --> 0:55:36.054
<v Speaker 1>Ken Del Rich Pilot, Lee and Daisy Sharma provided additional assistance.

0:55:36.264 --> 0:55:40.344
<v Speaker 1>All 128 episodes of this podcast are available on youtube

0:55:40.465 --> 0:55:43.304
<v Speaker 1>as well as on Apple and Spotify. As for our

0:55:43.314 --> 0:55:45.814
<v Speaker 1>research publications and webinars. You can find them all by

0:55:45.824 --> 0:55:49.114
<v Speaker 1>Googling D BS research library. Have a great day.