WEBVTT - Marketing trends you need to know

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<v Speaker 1>Good morning everyone. Welcome to Executive Insights by Media Corp,

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<v Speaker 1>trends you need to know. Now, this is the first

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<v Speaker 1>Executive insights webinar for the year. And it's usually the

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<v Speaker 1>one where we kind of, I hate to say, look

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<v Speaker 1>into the crystal ball, but we kind of look at

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<v Speaker 1>what's the year, how, what the year is shaping up

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<v Speaker 1>like the year ahead. I invite a great panel who

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<v Speaker 1>are here to kind of hold your hand a little

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<v Speaker 1>bit and to give you the encouragement, um, for what

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<v Speaker 1>you need to do, what you need to look at,

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<v Speaker 1>need to.

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<v Speaker 1>Get on the back of right away. So, let me

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<v Speaker 1>start by introducing, um, my guest today. I'm so happy

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<v Speaker 1>to have them on board. We've had some dry run

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<v Speaker 1>sessions and I, looking at the content, I'm very excited

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<v Speaker 1>for them to share. So, first of all, I want

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<v Speaker 1>to say hi to Munas. Hi, Munas.

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<v Speaker 1>Coming for our managing director of Southeast Asia for months.

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<v Speaker 1>Then we have um Eric, Eric from um OMD. Hi, Eric.

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<v Speaker 1>And then, of course, um.

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<v Speaker 1>I'll say an old friend, Guan Hin, um, from, um,

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<v Speaker 1>the One Club for Creativity, um, but also, Guan Hin,

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<v Speaker 1>congratulations on your recent induction into the advertises um into

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<v Speaker 1>the Association of Advertising and Marketing Singapore Hall of Fame, right? Um,

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<v Speaker 1>one of the luminaries in, in the, in the Singapore

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<v Speaker 1>advertising industry. So very proud to have them on board. Now,

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<v Speaker 1>I am Tashan Toh. I actually head up commercial planning industry.

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<v Speaker 1>Solutions for Media Corp. Um, we've been doing these webinars

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<v Speaker 1>since COVID, and they've only gone from strength to strength. Um,

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<v Speaker 1>if I'm not wrong, we've already had more than 150 speakers,

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<v Speaker 1>and we've had, um, more than 6000 people who attended

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<v Speaker 1>these webinars over the last couple of years. So, all

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<v Speaker 1>of you who are in the room are in the

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<v Speaker 1>right place, right? And we're gonna kick off the year

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<v Speaker 1>of snake in a spectacular fashion in the next hour. Now,

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<v Speaker 1>we've looked at the materials that

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<v Speaker 1>We have, it's, I'm gonna say it's all very inspiring,

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<v Speaker 1>but we're likely to run a little bit long today.

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<v Speaker 1>When we did this session last year in the beginning

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<v Speaker 1>of 2024, we said that there were three key things

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<v Speaker 1>that you, we're going to see explode in 2024. 1

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<v Speaker 1>was that social commerce is going to reign. So what

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<v Speaker 1>we've seen is that in 2023, um, you know, GMV

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<v Speaker 1>was estimated to be 1.6 billion, it's going to grow to.

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<v Speaker 1>1.4 billion. I think we can all say that since,

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<v Speaker 1>you know, in the past year, we've seen all, we've

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<v Speaker 1>seen this space grow. Um, the exact number, we're still

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<v Speaker 1>trying to, we're still trying to triangulate and get a, uh,

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<v Speaker 1>reading on it, um, as the year has just ended.

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<v Speaker 1>But with the explosion of TikTok shop and all the

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<v Speaker 1>live streams that you're seeing, I think we can all

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<v Speaker 1>say that this is happening. OK? So, one call, correct.

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<v Speaker 1>Second of all, short.

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<v Speaker 1>From video content dominates, right? The rise of TikTok, I mean,

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<v Speaker 1>even though TikTok's reach in Singapore is about 40 or 40, 45%, um,

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<v Speaker 1>it is really a platform that continues to grow, um, nonstop,

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<v Speaker 1>and which is why, you know, as they say, um,

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<v Speaker 1>what do you call it, imitation is the best form

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<v Speaker 1>of flattery. You've got other platforms that are now also

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<v Speaker 1>going on short form content. Now, there is something that,

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<v Speaker 1>that's been happening in China. Those of you who know, know,

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<v Speaker 1>micro dramas have.

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<v Speaker 1>Boomed, right? And happy to note that in Singapore, this

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<v Speaker 1>trend is now catching on and bearing fruit. So, um,

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<v Speaker 1>we've had two very successful micro dramas that in a

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<v Speaker 1>span of, let's say, you know, 2 or 3 weeks

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<v Speaker 1>have garnered 6 to 7 million views. So we know

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<v Speaker 1>that this format works, and we're happy to have called it,

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<v Speaker 1>and we're, and we're on, and we're on this, on

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<v Speaker 1>this riding this wave. The third one,

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<v Speaker 1>Is that gender of AI, you know, is the game changer.

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<v Speaker 1>And um I think Guan Hin was invited to a futureproof,

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<v Speaker 1>um session, a thought leadership session with us, and he

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<v Speaker 1>shared a lot about this, about a year and a

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<v Speaker 1>year and a half back, and this has, this is

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<v Speaker 1>starting to bear fruit, and we see um all this happen,

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<v Speaker 1>and I think um Munas, uh, everyone will talk a

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<v Speaker 1>lot about a lot about.

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<v Speaker 1>AI and what it can do for your business and

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<v Speaker 1>how to utilize it. OK. So, I also wanted to

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<v Speaker 1>give you a sense, you know, at Mediacorp, I get,

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<v Speaker 1>I have the privilege of working with over 3000 brands.

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<v Speaker 1>And these are some sound bites of what these brands

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<v Speaker 1>are telling us, right? They want better in-show integration. They

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<v Speaker 1>want the content, they want to be integrated, they don't

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<v Speaker 1>want to be a logo mention or a product placement.

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<v Speaker 1>They want their, their US.

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<v Speaker 1>be in integrated into the storytelling itself, right? Clearly, everyone

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<v Speaker 1>wants to collect social media data and they want to

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<v Speaker 1>profile um their users. So this has also been a

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<v Speaker 1>big ask from us. Um, many brands are saying, you know,

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<v Speaker 1>with the way budgets are,

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<v Speaker 1>Guys, branding budgets are, you know, shrunk, and everyone's going

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<v Speaker 1>for mid-final conversion. In fact, we have many clients coming

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<v Speaker 1>to us to say, OK, Tashan, I don't need you

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<v Speaker 1>to convert. I need you to show me clear.

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<v Speaker 1>Consideration, consideration lists. OK, so how are you gonna do

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<v Speaker 1>this for me? Then clearly all that is, all this

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<v Speaker 1>is coming on the back of demands for more content creation,

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<v Speaker 1>clearly something that everyone in the room said, OK, where

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<v Speaker 1>is that going? How can we do this? And um

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<v Speaker 1>and I'm gonna say that much of this is being done,

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<v Speaker 1>not with us saying that we know everything, but with us.

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<v Speaker 1>You know, bringing in partners from throughout the industry because

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<v Speaker 1>everyone's going to be a master of some skill in this,

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<v Speaker 1>in this ecosystem and we can't do it alone. So

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<v Speaker 1>with partners and as you will see, my partners in

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<v Speaker 1>crime today are going to give you a great um

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<v Speaker 1>showing of what's available out there. OK, now I'm gonna

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<v Speaker 1>bring you to look, to look at some numbers. Now,

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<v Speaker 1>look at these numbers. This is what we.

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<v Speaker 1>Have triangulated to, you know, this is kind of the

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<v Speaker 1>SG marketing budget spend graph in Singapore. So you've seen

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<v Speaker 1>about 1.3 billion in 2019, it's kind of tapered down

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<v Speaker 1>in 2023 to about 1.77 billion, we think.

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<v Speaker 1>Right? But you, but what's more important here is look

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<v Speaker 1>at the shifts. So search remains very, very strong. Content

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<v Speaker 1>and commerce related social media and that has grown at

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<v Speaker 1>a very, you know, strong caer, right? And that's coming

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<v Speaker 1>really on the back of, you know, how brands are

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<v Speaker 1>really looking at their pure display and inventory guys.

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<v Speaker 1>Right? Now, not, not to say that that's, that's not

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<v Speaker 1>important and I think Eric is gonna bring up that point,

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<v Speaker 1>but it's about the fact that the reallocation has been

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<v Speaker 1>happening where inventory is then being used to amplify the content, um,

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<v Speaker 1>content commerce related social media, um, investments that you're making.

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<v Speaker 1>OK. Now, with this, and so, so when I see

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<v Speaker 1>the 1.77 billion, guys, I want you to know that

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<v Speaker 1>makes my job really, really tough, right? Because all of

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<v Speaker 1>you are demanding far more of the network. OK? But

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<v Speaker 1>that's where, that's what wake, doesn't keep me up at night,

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<v Speaker 1>but it wakes me up in the morning, right? And

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<v Speaker 1>gets me back on the horse. OK, so the next

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<v Speaker 1>chart is, I think this is the, the one that's looming.

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<v Speaker 1>OK. We have this thing called the RTS that is

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<v Speaker 1>launching in 2026. We've been having conversations with key brands

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<v Speaker 1>since last year about how we, together with them, are

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<v Speaker 1>going to partner to deal with this potential leakage of

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<v Speaker 1>about 1.5 to $2 billion in um retail revenue.

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<v Speaker 1>That's huge.

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<v Speaker 1>Right? Because if I imagine 1.52 billion in retail, retail

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<v Speaker 1>revenue leakage, if I take, let's say a 5%, you know,

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<v Speaker 1>estimate of that in terms of what you would be

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<v Speaker 1>spending on marketing out of your budget, right, from, from

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<v Speaker 1>your cost of sale, you know, we're talking about $70

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<v Speaker 1>million straight out of this market. So you guys are

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<v Speaker 1>potentially in hot soup. We are also, you know, you know,

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<v Speaker 1>walking the line on tenterhooks. So.

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<v Speaker 1>The key here is we need to work together to

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<v Speaker 1>make sure that we don't come out of this, this

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<v Speaker 1>RTS opening worse off, or that we pivoted in some

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<v Speaker 1>sort of an interesting innovative way.

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<v Speaker 1>Right? To still secure the retail spends or the client

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<v Speaker 1>or the consumer engagements in Singapore. Now, enough of this,

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<v Speaker 1>enough of this. I hope this wasn't doom and gloom,

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<v Speaker 1>but I wanted to just set the stage to say

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<v Speaker 1>that this is what we're really looking at in the next,

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<v Speaker 1>you know, 12 to 18 months, right? And I encourage

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<v Speaker 1>all of you, if you've not.

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<v Speaker 1>Thought about what how the RTS will affect your business

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<v Speaker 1>in the next 6 to 8 months, please, please start

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<v Speaker 1>putting it high up on your agenda. OK? So now

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<v Speaker 1>with that, I wanted to hand over to Eric, um,

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<v Speaker 1>you know, coming from the media landscape perspective to tell

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<v Speaker 1>us some of his best, um, pieces of advice, tips

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<v Speaker 1>and tricks of how to optimize for the year ahead. OK,

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<v Speaker 1>so over to you, Eric.

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<v Speaker 1>Alright, thank you, Dacheng, let's get straight into it. Um,

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<v Speaker 1>I think firstly, the theme for 2025, uh, I feel

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<v Speaker 1>it's less about making massive leaps and, and more about

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<v Speaker 1>taking what already works and making it work smarter for you.

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<v Speaker 1>I think you kind of touched on it just before.

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<v Speaker 1>Whether you're an agency and advertiser or a vendor, I,

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<v Speaker 1>the headline still really reads do more for less. So

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<v Speaker 1>what is happening in the media landscape that can help

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<v Speaker 1>us drive the effectiveness and deliver on that task that's

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<v Speaker 1>been put on, uh, put on us?

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<v Speaker 1>So we go to the next topic, or the first topic,

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<v Speaker 1>which is the evolution of search. Now we're not quite

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<v Speaker 1>there yet, but we are steadily sprinting towards this idea

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<v Speaker 1>of the death of the 10 blue links. Now when

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<v Speaker 1>I say 10 blue links, I'm referring to the stacked

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<v Speaker 1>URLs um that we used to kind of get in

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<v Speaker 1>our search engines, but this is evolving.

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<v Speaker 1>Um, it's really being pushed by the expectations of users.

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<v Speaker 1>Now if we look at, um, where we started back

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<v Speaker 1>in the day, um, it was really about putting exact

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<v Speaker 1>bullying search queries into your engine. Now you would typically

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<v Speaker 1>flick through many pages before finding what you really need

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<v Speaker 1>buried deep in the results. There were obviously other challenges

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<v Speaker 1>during this period, such as poor ranking algorithms, limited indexing,

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<v Speaker 1>but all that meant was a really poor clunky user experience.

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<v Speaker 1>Now we're asking conversational queries to our search engines, so

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<v Speaker 1>the way in which we're interacting with them is almost

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<v Speaker 1>how you would type um something or how, how you

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<v Speaker 1>would speak to a friend really, and you see it

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<v Speaker 1>all the time, so mid conversation, you'll stop and ask

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<v Speaker 1>and hang on, you know, uh we'll just go back

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<v Speaker 1>one side, hang on our mermaids reel, and you pick

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<v Speaker 1>up your phone and and type the exact question in

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<v Speaker 1>and in the exact conversational tone, you get your response.

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<v Speaker 1>Now, I grabbed a quote um from an article I'd

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<v Speaker 1>read a while back, and I think most of us

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<v Speaker 1>resonate with this, and the quote reads, I have to

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<v Speaker 1>admit it, when browsing the internet, my patience has become low,

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<v Speaker 1>like really low, and I demand nothing but accurate personalized

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<v Speaker 1>answers fast, and they're right. I think we all kind

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<v Speaker 1>of want this instant gratification from our search engines.

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<v Speaker 1>Now if we go on to the next slide, we

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<v Speaker 1>can have a look at what is driving the hunger

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<v Speaker 1>for this immediate information. Two things worth highlighting, which I'm

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<v Speaker 1>sure we're all across AI and social media.

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<v Speaker 1>So I'll spend a couple of minutes if I can

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<v Speaker 1>talking through those a little. Now AI search results have

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<v Speaker 1>had a bit of a staggered approach in terms of

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<v Speaker 1>their availability, um, and if you're not familiar with AI search,

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<v Speaker 1>I put a reference in the middle, but it's, I'm

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<v Speaker 1>referring to that overview that you can get in the

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<v Speaker 1>top of your results. So here I've asked in a

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<v Speaker 1>conversational way, what is a good pet for a small apartment.

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<v Speaker 1>Now what I get is a succinct overview of the

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<v Speaker 1>perfect pets for my tiny little apartment.

0:12:24.739 --> 0:12:26.849
<v Speaker 1>Along as well with a snapshot of the key animals

0:12:26.849 --> 0:12:29.169
<v Speaker 1>that were referenced in the overview so that I can

0:12:29.169 --> 0:12:32.369
<v Speaker 1>learn more in case I wasn't familiar with them. Now

0:12:32.369 --> 0:12:36.130
<v Speaker 1>this overview is being pulled from multiple different sources and

0:12:36.130 --> 0:12:39.848
<v Speaker 1>content ecosystems to create what it deems as the snappiest

0:12:39.849 --> 0:12:43.770
<v Speaker 1>response that can really help me. Now, this is obviously

0:12:43.770 --> 0:12:48.000
<v Speaker 1>extremely helpful to people browsing, but what about us as advertisers?

0:12:48.330 --> 0:12:50.809
<v Speaker 1>So perhaps if we change this search query to one

0:12:50.809 --> 0:12:53.130
<v Speaker 1>about your specific product, um, and think about that for

0:12:53.130 --> 0:12:53.609
<v Speaker 1>a second.

0:12:54.429 --> 0:12:57.669
<v Speaker 1>As an advertiser, it's important to know how and why

0:12:57.669 --> 0:13:00.549
<v Speaker 1>people are searching your category. Do they want to know

0:13:00.549 --> 0:13:02.710
<v Speaker 1>what the best network coverage is? Do they wanna know

0:13:02.710 --> 0:13:05.150
<v Speaker 1>what is the most value for money? Is it the

0:13:05.150 --> 0:13:09.669
<v Speaker 1>most sustainable, what suits their lifestyle? Once you know what

0:13:09.669 --> 0:13:12.190
<v Speaker 1>people need, and I'm sure everyone knows this already from

0:13:12.190 --> 0:13:15.190
<v Speaker 1>the SDM and their current marketing activity, you then need

0:13:15.190 --> 0:13:17.630
<v Speaker 1>to ensure that you have content in the right environments

0:13:17.630 --> 0:13:21.359
<v Speaker 1>that answer these questions. That way AI is able to

0:13:21.359 --> 0:13:22.900
<v Speaker 1>pull all of these pieces together.

0:13:23.359 --> 0:13:26.140
<v Speaker 1>And put your products front and center in the perfect

0:13:26.140 --> 0:13:28.400
<v Speaker 1>search result. Now, if we think about it from an

0:13:28.400 --> 0:13:31.809
<v Speaker 1>FMCG brand as an example, where it's really difficult to

0:13:31.809 --> 0:13:35.409
<v Speaker 1>win mental space, it's like quick turnaround product research, you'll

0:13:35.409 --> 0:13:37.169
<v Speaker 1>need to have answers as to why you're the best

0:13:37.169 --> 0:13:41.520
<v Speaker 1>in comparison websites and articles, online reviews, online forums, obviously,

0:13:41.570 --> 0:13:42.968
<v Speaker 1>as well as your own website.

0:13:43.400 --> 0:13:46.119
<v Speaker 1>Only then will you kind of top the top, uh,

0:13:46.130 --> 0:13:48.400
<v Speaker 1>get to the top of the search uh search results.

0:13:48.640 --> 0:13:51.520
<v Speaker 1>Now we're yet to hit mats velocity on AI overviews,

0:13:51.640 --> 0:13:54.750
<v Speaker 1>so whilst I'm sure everyone here has a robust SEM approach,

0:13:55.280 --> 0:13:57.679
<v Speaker 1>I think it's really time we think about how we

0:13:57.679 --> 0:14:02.189
<v Speaker 1>can improve our content strategy to fuel product discovery. Um,

0:14:02.200 --> 0:14:05.440
<v Speaker 1>we're also seeing product discovery on TikTok. Uh, we have

0:14:05.440 --> 0:14:07.080
<v Speaker 1>a couple of stats here to show you on the

0:14:07.080 --> 0:14:07.640
<v Speaker 1>next slide.

0:14:08.210 --> 0:14:11.530
<v Speaker 1>Not only is it um evolving in search engines, we're

0:14:11.530 --> 0:14:16.119
<v Speaker 1>really seeing a shift from typical search engines into TikTok, uh,

0:14:16.130 --> 0:14:18.569
<v Speaker 1>specifically in our SEA region as well. I think Indonesia

0:14:18.570 --> 0:14:19.849
<v Speaker 1>is one of the biggest globally.

0:14:20.539 --> 0:14:24.059
<v Speaker 1>Now 20% of TikTok users in SEA are using the

0:14:24.059 --> 0:14:27.099
<v Speaker 1>platform as their primary search tool, and not just because

0:14:27.099 --> 0:14:30.700
<v Speaker 1>they're addicted to the platform, 56% of them are actually

0:14:30.700 --> 0:14:33.940
<v Speaker 1>finding it more than traditional search engines. And Dasen spoke

0:14:33.940 --> 0:14:37.020
<v Speaker 1>about TikTok Shop before. To be honest, you now have

0:14:37.020 --> 0:14:40.299
<v Speaker 1>TikTok Search, all of your infeed, you have Shopable, so

0:14:40.299 --> 0:14:42.869
<v Speaker 1>you have a complete marketing funnel within that ecosystem that

0:14:42.869 --> 0:14:44.020
<v Speaker 1>we need to start considering.

0:14:44.500 --> 0:14:47.880
<v Speaker 1>So the 3 things, yeah, Eric, we've also heard um

0:14:47.880 --> 0:14:51.179
<v Speaker 1>some new improvements coming on the YouTube platform too, to,

0:14:51.280 --> 0:14:54.239
<v Speaker 1>you know, to enable, to enable quick purchase, you know,

0:14:54.359 --> 0:14:58.869
<v Speaker 1>in stream. So, yes, this space is really buzzing. Um,

0:14:58.880 --> 0:15:01.400
<v Speaker 1>we're covering a lot, so I'm really gonna encourage everyone

0:15:01.400 --> 0:15:03.590
<v Speaker 1>in the room that if you have a burning question,

0:15:03.880 --> 0:15:07.599
<v Speaker 1>please go into the, the chat box or Q&amp;A and

0:15:07.599 --> 0:15:10.280
<v Speaker 1>type your questions in, right? And because we're reviewing them as,

0:15:10.400 --> 0:15:11.799
<v Speaker 1>as we're presenting.

0:15:12.630 --> 0:15:14.979
<v Speaker 1>And as moderator, so sometimes I can float your question

0:15:14.979 --> 0:15:17.179
<v Speaker 1>out immediately. Thank you. Back to you, Eric.

0:15:17.869 --> 0:15:20.020
<v Speaker 1>Yeah, cool. And just to, yeah, on your point, Dashane,

0:15:20.099 --> 0:15:23.340
<v Speaker 1>I think like the influx of Shopable driven by TikTok shop,

0:15:23.460 --> 0:15:26.900
<v Speaker 1>you have all of these platforms within this region that, yeah,

0:15:27.020 --> 0:15:30.619
<v Speaker 1>it's just e-commerce and, and shop attainment is, is crazy. Uh,

0:15:30.700 --> 0:15:32.859
<v Speaker 1>the three things I'd say, uh, to take away from

0:15:32.859 --> 0:15:36.919
<v Speaker 1>what we've spoken about diversify, so think holistically about your

0:15:36.919 --> 0:15:39.739
<v Speaker 1>search strategy, uh, what we spoke about, what role does

0:15:39.739 --> 0:15:42.979
<v Speaker 1>TikTok play, but really think about intent-based discovery, because that's

0:15:42.979 --> 0:15:43.690
<v Speaker 1>what we're seeing.

0:15:44.359 --> 0:15:47.200
<v Speaker 1>Content strategy, huge one, review it, make it easier for

0:15:47.200 --> 0:15:51.799
<v Speaker 1>AI driven engines to interpret your brand's information accurately, uh,

0:15:51.880 --> 0:15:55.200
<v Speaker 1>and monitor and monitor the evolution. I think with what

0:15:55.200 --> 0:15:57.270
<v Speaker 1>was happening in TikTok in the US we saw like

0:15:57.270 --> 0:16:00.479
<v Speaker 1>spikes in Xiaohongshu as an example, are people gonna start

0:16:00.479 --> 0:16:02.320
<v Speaker 1>shifting to that and use that as a search engine,

0:16:02.400 --> 0:16:03.960
<v Speaker 1>so we really need to kind of, you know,

0:16:04.609 --> 0:16:08.090
<v Speaker 1>Keep our eye on this um at the moment. Next topic,

0:16:08.359 --> 0:16:12.780
<v Speaker 1>agentic error, um, simply means AI tools or agents talking

0:16:12.780 --> 0:16:16.289
<v Speaker 1>to other AI agents. Now without getting into the details

0:16:16.289 --> 0:16:18.020
<v Speaker 1>too deep, there is a bit of a line of

0:16:18.020 --> 0:16:21.530
<v Speaker 1>separation between how traditional AI works and agentic AI.

0:16:22.090 --> 0:16:26.080
<v Speaker 1>Put simply, traditional AI models simply respond to prompts or

0:16:26.080 --> 0:16:30.390
<v Speaker 1>execute predefined tasks and they're quite rigid. Agentic AI uh

0:16:30.390 --> 0:16:32.840
<v Speaker 1>is a scary AI it can talk with AI components,

0:16:32.919 --> 0:16:35.400
<v Speaker 1>they can perceive the environment, plan and take actions, and

0:16:35.400 --> 0:16:38.520
<v Speaker 1>even learn from experiences. Now I'd say most of the.

0:16:38.594 --> 0:16:40.784
<v Speaker 1>Conversations and what you see in the trade press now

0:16:40.784 --> 0:16:43.664
<v Speaker 1>about benefit workflow and driving efficiencies. So what do we

0:16:43.664 --> 0:16:47.065
<v Speaker 1>need to know? Here we're looking at, um, basically the

0:16:47.065 --> 0:16:50.994
<v Speaker 1>consumer lens. Again, it's all being driven by consumer expectations.

0:16:51.304 --> 0:16:53.864
<v Speaker 1>People want to offload their digital errands and get more

0:16:53.864 --> 0:16:56.984
<v Speaker 1>time back for themselves. They want responses that are more

0:16:56.984 --> 0:16:59.614
<v Speaker 1>and more personalized, but they also still want to have, um,

0:16:59.625 --> 0:17:03.385
<v Speaker 1>or feel like they're in control. So these three key

0:17:03.385 --> 0:17:06.583
<v Speaker 1>behaviors are accelerating the adoption of AI agents and kind

0:17:06.584 --> 0:17:08.175
<v Speaker 1>of why we need to keep our eye on it.

0:17:08.540 --> 0:17:10.660
<v Speaker 1>Um, I'll give you an example on the next slide

0:17:10.660 --> 0:17:12.900
<v Speaker 1>to help put it into context. Uh, this is a

0:17:12.900 --> 0:17:15.219
<v Speaker 1>working example from a colleague, so he may be on

0:17:15.219 --> 0:17:18.060
<v Speaker 1>the call. Um, as part of their role, they're always

0:17:18.060 --> 0:17:19.099
<v Speaker 1>traveling within APAC.

0:17:19.819 --> 0:17:22.169
<v Speaker 1>For those of you that travel frequently for work, you know,

0:17:22.180 --> 0:17:24.260
<v Speaker 1>there's a lot of admin that comes with it, templates

0:17:24.260 --> 0:17:26.209
<v Speaker 1>that you need to fill for approvals and so on.

0:17:26.459 --> 0:17:29.760
<v Speaker 1>Now what they've done is essentially create a multi-agent collaboration.

0:17:29.979 --> 0:17:32.890
<v Speaker 1>So 3 agents that work together and curate a response

0:17:32.890 --> 0:17:35.329
<v Speaker 1>that answers their needs and then can be put into

0:17:35.329 --> 0:17:38.020
<v Speaker 1>a Need Excel for their EA to approve. Now when

0:17:38.020 --> 0:17:40.579
<v Speaker 1>prompting Find me tickets to Sydney in March and the

0:17:40.579 --> 0:17:43.979
<v Speaker 1>best hotel that's close to my office, it's all filtered

0:17:43.979 --> 0:17:45.339
<v Speaker 1>through a supervisor agent.

0:17:45.969 --> 0:17:48.469
<v Speaker 1>So this is the one that orchestrates and governs, and

0:17:48.469 --> 0:17:50.630
<v Speaker 1>remember these all speak to each other, right? Now there's

0:17:50.630 --> 0:17:54.349
<v Speaker 1>agents under that that understand the user's personal preference based

0:17:54.349 --> 0:17:58.310
<v Speaker 1>on their history, um, their digital patterns, etc. One that

0:17:58.310 --> 0:18:02.109
<v Speaker 1>understands airline price fluctuations, fill rates for specific flight paths,

0:18:02.189 --> 0:18:05.589
<v Speaker 1>and another that knows the most talked about, uh, hotels

0:18:05.589 --> 0:18:08.819
<v Speaker 1>for social clout and um also the most reasonable costs.

0:18:09.030 --> 0:18:10.390
<v Speaker 1>So they all talk to each other.

0:18:10.939 --> 0:18:13.819
<v Speaker 1>Pull the information together, send it to the supervisor agent,

0:18:13.939 --> 0:18:16.920
<v Speaker 1>which then gets passed over to the person, they then

0:18:16.920 --> 0:18:19.300
<v Speaker 1>can say, yep, go ahead and book it. It all

0:18:19.300 --> 0:18:22.489
<v Speaker 1>gets dumped into um the template and sent to the EA.

0:18:22.739 --> 0:18:24.780
<v Speaker 1>So it's easy to see how it works for consumers,

0:18:24.819 --> 0:18:27.859
<v Speaker 1>but again, you know, what about us as advertisers? So

0:18:27.859 --> 0:18:30.938
<v Speaker 1>in this scenario, um, if you're an airline, if you

0:18:30.939 --> 0:18:33.899
<v Speaker 1>are a hotel, if you are travel insurance, if you

0:18:33.900 --> 0:18:35.189
<v Speaker 1>are a taxi company,

0:18:35.890 --> 0:18:38.689
<v Speaker 1>You need to be thinking about how these agents can

0:18:38.689 --> 0:18:42.319
<v Speaker 1>help pull you into these options, so your brand again

0:18:42.319 --> 0:18:44.770
<v Speaker 1>um is becoming front and center, and that's the challenge

0:18:44.770 --> 0:18:48.160
<v Speaker 1>we need to prepare for. So 3 things, um, on this,

0:18:48.250 --> 0:18:52.369
<v Speaker 1>I would say is examine and understand what large language

0:18:52.369 --> 0:18:55.329
<v Speaker 1>models are saying about your brand. Um, it's really about

0:18:55.329 --> 0:18:58.209
<v Speaker 1>knowing how we're being recommended in response to user questions,

0:18:58.300 --> 0:19:02.040
<v Speaker 1>that's critical. Second is experiment with your search approach.

0:19:02.689 --> 0:19:06.479
<v Speaker 1>I think experimenting with director agent strategies is something new

0:19:06.479 --> 0:19:09.550
<v Speaker 1>for us, but something we'll need to be considering. Essentially,

0:19:09.560 --> 0:19:12.169
<v Speaker 1>we'll need to know how we can win valuable digital

0:19:12.170 --> 0:19:16.760
<v Speaker 1>shelf space, because based on, you know, the velocity of e-commerce,

0:19:16.839 --> 0:19:18.760
<v Speaker 1>it's gonna get to a stage where AI is doing

0:19:18.760 --> 0:19:20.520
<v Speaker 1>the shopping for us, scary, I know, but I think

0:19:20.520 --> 0:19:23.660
<v Speaker 1>it's heading that way, um, and elevate our product data.

0:19:23.760 --> 0:19:27.000
<v Speaker 1>So the, today's agents at least, they need information to

0:19:27.000 --> 0:19:29.920
<v Speaker 1>be structured and detail, um, oriented.

0:19:30.239 --> 0:19:33.000
<v Speaker 1>So we need to focus on attributes and descriptions that

0:19:33.000 --> 0:19:36.079
<v Speaker 1>are optimized for AI agents to be able to, to

0:19:36.079 --> 0:19:36.719
<v Speaker 1>take on board.

0:19:37.369 --> 0:19:40.260
<v Speaker 1>Yeah, so Eric, you're recommending that everyone do sort of,

0:19:40.319 --> 0:19:44.599
<v Speaker 1>sort of a mind map, right, of, of potential of,

0:19:44.609 --> 0:19:47.188
<v Speaker 1>of what their potential ecosystem looks like and how they

0:19:47.189 --> 0:19:49.680
<v Speaker 1>can plug into partners.

0:19:50.579 --> 0:19:54.209
<v Speaker 1>100%, and I'd say like at the start we talked about,

0:19:54.380 --> 0:19:56.780
<v Speaker 1>you know, AI and search, so that's one thing, there's

0:19:56.780 --> 0:19:59.380
<v Speaker 1>AI searching, you know, the web ecosystem, but now we're

0:19:59.380 --> 0:20:03.099
<v Speaker 1>thinking about, OK, how is, how are these agents um

0:20:03.099 --> 0:20:06.260
<v Speaker 1>kind of collecting information, so you're 100% correct, it's like, alright,

0:20:06.540 --> 0:20:06.688
<v Speaker 1>how

0:20:06.734 --> 0:20:09.484
<v Speaker 1>How do I pull all of my um information and

0:20:09.484 --> 0:20:11.844
<v Speaker 1>put it in the right ecosystem, so if it, it's

0:20:11.844 --> 0:20:14.015
<v Speaker 1>either AI or if it's, you know, large language modeling,

0:20:14.165 --> 0:20:16.494
<v Speaker 1>it's able to be collated and put front and center.

0:20:16.564 --> 0:20:20.274
<v Speaker 1>So yeah, mind map 100%, big room, whiteboard, get all the,

0:20:20.395 --> 0:20:22.285
<v Speaker 1>get all the pieces of paper on the, on the,

0:20:22.364 --> 0:20:22.875
<v Speaker 1>on the wall.

0:20:24.359 --> 0:20:27.000
<v Speaker 1>Alright, I think last one, I'll be quickly on this,

0:20:27.079 --> 0:20:29.800
<v Speaker 1>it's the age of abundance, um, if we go on

0:20:29.800 --> 0:20:31.879
<v Speaker 1>to the next slide, we talk about a few media

0:20:31.880 --> 0:20:34.958
<v Speaker 1>planner complaints, but essentially a challenge we all talk about

0:20:34.959 --> 0:20:37.719
<v Speaker 1>in agency land is the fragmentation of media. You, you

0:20:37.719 --> 0:20:40.400
<v Speaker 1>can't stop hearing about it. And it's true. It's made

0:20:40.400 --> 0:20:42.800
<v Speaker 1>it more difficult to plan as audiences are strewn across

0:20:42.800 --> 0:20:47.290
<v Speaker 1>multiple environments, multiple devices. Um, something that I find quite

0:20:47.290 --> 0:20:50.000
<v Speaker 1>common in Singapore is when faced with the challenge of

0:20:50.000 --> 0:20:52.560
<v Speaker 1>spreading your budget into multiple channels, and I know we

0:20:52.560 --> 0:20:53.760
<v Speaker 1>all hate spreading budgets thin.

0:20:54.500 --> 0:20:58.729
<v Speaker 1>Clients sometimes opt to consolidate into 1 to 2 performance channels, um,

0:20:58.739 --> 0:21:01.849
<v Speaker 1>obviously because you can see more immediate returns on your dollar.

0:21:02.300 --> 0:21:04.810
<v Speaker 1>But what this fragmentation is really forcing us to do

0:21:04.810 --> 0:21:08.099
<v Speaker 1>is consider how we plan for attention overreach. Now it

0:21:08.099 --> 0:21:11.180
<v Speaker 1>can be done through planning for this idea of ecosystems,

0:21:11.229 --> 0:21:14.979
<v Speaker 1>so think AV or screen strategies rather than channel silos.

0:21:15.140 --> 0:21:18.139
<v Speaker 1>Now I've grabbed two graphs from Walk um on the

0:21:18.140 --> 0:21:18.780
<v Speaker 1>next slide.

0:21:19.459 --> 0:21:21.290
<v Speaker 1>Back in the old days, we used to call it

0:21:21.290 --> 0:21:23.619
<v Speaker 1>the multiplier effect, but even now we still see when

0:21:23.619 --> 0:21:26.219
<v Speaker 1>we execute an effective omni-channel campaign,

0:21:26.939 --> 0:21:29.659
<v Speaker 1>There are multiple benefits, but in short, the messaging has

0:21:29.660 --> 0:21:32.780
<v Speaker 1>a better chance of sticking with the consumer. Um, when

0:21:32.780 --> 0:21:35.300
<v Speaker 1>omni-channel planning, we need to also be clear on the

0:21:35.300 --> 0:21:38.579
<v Speaker 1>role of every element within our ecosystem, but furthermore, we

0:21:38.579 --> 0:21:41.339
<v Speaker 1>need to know what the attention levels are of each

0:21:41.339 --> 0:21:44.739
<v Speaker 1>of those to inform how we communicate, along with the

0:21:44.739 --> 0:21:47.500
<v Speaker 1>long-term profit that they can deliver for us. So you

0:21:47.500 --> 0:21:49.819
<v Speaker 1>can see clearly on the graph on the right that

0:21:49.819 --> 0:21:53.060
<v Speaker 1>a smart screen or AV strategy can help,

0:21:53.719 --> 0:21:56.479
<v Speaker 1>Build the reach on social, use your short form content

0:21:56.479 --> 0:21:59.290
<v Speaker 1>that we've spoken about, but also you can use brand

0:21:59.290 --> 0:22:01.369
<v Speaker 1>building and some of those other AV channels so that

0:22:01.369 --> 0:22:03.369
<v Speaker 1>you can get, you know, a mix of that short-term

0:22:03.369 --> 0:22:06.640
<v Speaker 1>and long-term, and obviously, yeah, brand is, I, I think,

0:22:06.689 --> 0:22:09.410
<v Speaker 1>you know, brand is number one. So the three key

0:22:09.410 --> 0:22:12.280
<v Speaker 1>takeouts I'd say in this regard are,

0:22:13.030 --> 0:22:15.430
<v Speaker 1>Moving forward, I think it's important to not lose sight

0:22:15.430 --> 0:22:18.709
<v Speaker 1>of omnichannel channel planning. Obviously it depends on your objectives

0:22:18.709 --> 0:22:21.349
<v Speaker 1>and brief, but we need to start viewing um media

0:22:21.349 --> 0:22:25.869
<v Speaker 1>ecosystems rather than channels in silos. Know what the attention

0:22:25.869 --> 0:22:28.739
<v Speaker 1>decay is on all of your channels, your media agencies

0:22:28.739 --> 0:22:29.419
<v Speaker 1>should know this.

0:22:30.099 --> 0:22:33.189
<v Speaker 1>Also know that sometimes sacrificing reach in favor of attention

0:22:33.400 --> 0:22:36.479
<v Speaker 1>can deliver you more effective gains, not just um in

0:22:36.479 --> 0:22:38.880
<v Speaker 1>the long term but short as well. Um, if we

0:22:38.880 --> 0:22:41.040
<v Speaker 1>have the time, but I know Mis and um Guan

0:22:41.040 --> 0:22:42.680
<v Speaker 1>Hen are gonna talk about this, I'd love to talk

0:22:42.680 --> 0:22:46.079
<v Speaker 1>about Story worlds, but essentially it's how all of these

0:22:46.079 --> 0:22:48.719
<v Speaker 1>channels in your ecosystem can add something to the greatest

0:22:48.719 --> 0:22:51.040
<v Speaker 1>story you're trying to sell. So if you are running

0:22:51.040 --> 0:22:54.280
<v Speaker 1>longform brand in online video as an example, what is

0:22:54.280 --> 0:22:57.629
<v Speaker 1>your short form social doing to extend and, you know,

0:22:57.780 --> 0:22:59.079
<v Speaker 1>benefit that larger story?

0:22:59.449 --> 0:23:02.800
<v Speaker 1>Yeah, I think that's the whistle tool for me.

0:23:03.719 --> 0:23:06.310
<v Speaker 1>Well, Eric, you, you've kind of, kind of sped through

0:23:06.310 --> 0:23:08.238
<v Speaker 1>everything that you've had to share. I'm, you know, and

0:23:08.239 --> 0:23:10.719
<v Speaker 1>there were questions that were just buzzing along, and I'm,

0:23:10.959 --> 0:23:13.958
<v Speaker 1>I'm very happy that you, you came to this point

0:23:13.959 --> 0:23:17.599
<v Speaker 1>where I think very often humans like to think in

0:23:17.599 --> 0:23:21.630
<v Speaker 1>terms of left and right, right or wrong, and all that. And,

0:23:21.760 --> 0:23:23.760
<v Speaker 1>you know, for the longest time, I would say that

0:23:23.760 --> 0:23:26.560
<v Speaker 1>if we live not in a world of or, but

0:23:26.560 --> 0:23:28.920
<v Speaker 1>in a world of and, which is what I think

0:23:28.920 --> 0:23:31.089
<v Speaker 1>Guan Hin will touch on a little bit later on,

0:23:31.280 --> 0:23:32.329
<v Speaker 1>I think we'd be all.

0:23:32.546 --> 0:23:35.545
<v Speaker 1>Better marketers, right? So there was a question about, you know,

0:23:35.625 --> 0:23:37.666
<v Speaker 1>so where does the, what, how does Media Corp play

0:23:37.666 --> 0:23:40.145
<v Speaker 1>in all of this or whatever. So, you know, in

0:23:40.145 --> 0:23:43.056
<v Speaker 1>the same spirit as the animal of the year, the snake,

0:23:43.225 --> 0:23:46.865
<v Speaker 1>I think we've become so incredibly flexible, knowing that, you know,

0:23:46.946 --> 0:23:51.446
<v Speaker 1>a 32nd TV spot also works as, you know, um,

0:23:51.505 --> 0:23:53.985
<v Speaker 1>some that could be transformed into something on radio, which

0:23:53.984 --> 0:23:56.865
<v Speaker 1>could also be transformed into something on social. So, you know,

0:23:56.984 --> 0:24:00.426
<v Speaker 1>with 33 platforms and more than 400 influencers and, you know,

0:24:00.505 --> 0:24:01.385
<v Speaker 1>our studios and everything.

0:24:02.251 --> 0:24:05.771
<v Speaker 1>You know, in the bag, we actually have flex, and

0:24:05.771 --> 0:24:09.171
<v Speaker 1>we're no longer the, the Mediacorp of your, of your

0:24:09.171 --> 0:24:12.531
<v Speaker 1>mom and dad anymore, right? Because we're looking at cutting

0:24:12.531 --> 0:24:16.802
<v Speaker 1>edge solutions, understanding that it is not a world of or.

0:24:17.011 --> 0:24:18.890
<v Speaker 1>You know, you need to do branding, but the branding

0:24:18.891 --> 0:24:21.531
<v Speaker 1>really needs to drive consideration. The consideration needs to drive

0:24:21.531 --> 0:24:24.491
<v Speaker 1>a conversion. And so we've got through the line solutions.

0:24:24.531 --> 0:24:27.452
<v Speaker 1>And so, thank you for sharing that. And I want

0:24:27.452 --> 0:24:30.411
<v Speaker 1>to then now turn the attention over to Munas.

0:24:31.160 --> 0:24:34.729
<v Speaker 1>And who has some really good examples to share with us,

0:24:35.300 --> 0:24:37.819
<v Speaker 1>especially in the social space. Hi Monas.

0:24:38.689 --> 0:24:40.810
<v Speaker 1>Hi, thank you so much, uh, Dashin.

0:24:41.359 --> 0:24:44.420
<v Speaker 1>Uh, I'm Munaan Boonstra, the managing director of Southeast Asia

0:24:44.420 --> 0:24:48.119
<v Speaker 1>at Mons. We're an integrated agency driving creativity, media, technology,

0:24:48.160 --> 0:24:50.829
<v Speaker 1>and innovation. So you can connect with me on LinkedIn.

0:24:50.959 --> 0:24:53.319
<v Speaker 1>Happy to answer any questions you have in the future.

0:24:53.719 --> 0:24:56.438
<v Speaker 1>At this and Munas has actually made time out of

0:24:56.439 --> 0:24:59.839
<v Speaker 1>a very busy trip to Jakarta. So she's actually zooming

0:24:59.839 --> 0:25:03.319
<v Speaker 1>out from Jakarta and I just love how integrated we

0:25:03.319 --> 0:25:05.969
<v Speaker 1>can be on this online platform. So thank you so

0:25:05.969 --> 0:25:08.919
<v Speaker 1>much for making time for us, Mua. No worries, thank you. OK,

0:25:09.000 --> 0:25:10.680
<v Speaker 1>let's start with the next slide.

0:25:11.380 --> 0:25:15.050
<v Speaker 1>So the pace of marketing has accelerated like never before, right? Um,

0:25:15.140 --> 0:25:18.729
<v Speaker 1>driven by the explosive growth of social first content, uh,

0:25:18.739 --> 0:25:21.750
<v Speaker 1>real-time engagement and the demand for hyper personalization.

0:25:22.119 --> 0:25:25.319
<v Speaker 1>So what used to take months for brands to create

0:25:25.319 --> 0:25:28.760
<v Speaker 1>campaigns now can happen in days or even hours. Yet,

0:25:28.969 --> 0:25:32.449
<v Speaker 1>despite the speed, the reality is the marketing ecosystem is very,

0:25:32.520 --> 0:25:34.890
<v Speaker 1>very tangled. This is the reality of what brand and

0:25:34.890 --> 0:25:39.170
<v Speaker 1>marketing managers go through. The current model is very fragmented, complex,

0:25:39.209 --> 0:25:43.770
<v Speaker 1>and layered, uh, involving multiple teams, agencies, and approval processes

0:25:43.770 --> 0:25:47.479
<v Speaker 1>uh across various business units, products, regions and channels.

0:25:48.234 --> 0:25:51.905
<v Speaker 1>So the result is very long production cycles, higher costs,

0:25:52.175 --> 0:25:54.564
<v Speaker 1>and a slower go to market process. And like what

0:25:54.564 --> 0:25:58.944
<v Speaker 1>Eric said earlier on, everybody wants lesser, better, cheaper, right? Production.

0:26:00.734 --> 0:26:03.324
<v Speaker 1>He's the brand manager or marketeer, like all of you

0:26:03.324 --> 0:26:06.635
<v Speaker 1>here and his call, you guys are drowning in endless workflows,

0:26:06.755 --> 0:26:10.564
<v Speaker 1>approvals and production efficiencies. And a lot of that also

0:26:10.564 --> 0:26:14.885
<v Speaker 1>really drains your budgets, right? So, but here's the game changer.

0:26:15.045 --> 0:26:15.764
<v Speaker 1>Next slide.

0:26:16.770 --> 0:26:21.819
<v Speaker 1>AI is rewriting the economics of social and advertising, right?

0:26:22.020 --> 0:26:23.139
<v Speaker 1>So next slide.

0:26:24.060 --> 0:26:30.300
<v Speaker 1>AI is, um, truly collapsing speed, cost, and creative volume

0:26:30.540 --> 0:26:33.859
<v Speaker 1>through a powerful ecosystem of tools that assist. And you

0:26:33.859 --> 0:26:37.300
<v Speaker 1>can use AI for copywriting and translation. So, of course,

0:26:37.540 --> 0:26:39.510
<v Speaker 1>everyone's very familiar with chat GPT, but there are many,

0:26:39.530 --> 0:26:43.550
<v Speaker 1>many others out there. Uh, also using AI for photography.

0:26:43.619 --> 0:26:47.140
<v Speaker 1>So what used to be long photography sessions that are costly,

0:26:47.219 --> 0:26:50.619
<v Speaker 1>takes days, times, edits, can now be done via AI.

0:26:51.069 --> 0:26:54.198
<v Speaker 1>Uh, also simple AI background editing and changes for all

0:26:54.199 --> 0:26:57.560
<v Speaker 1>of you who are going into e-commerce. Uh, also, with

0:26:57.560 --> 0:27:01.109
<v Speaker 1>social first approach and digital approach, uh, you will need

0:27:01.109 --> 0:27:05.280
<v Speaker 1>your campaigns to be in different sizes, right, to fit

0:27:05.280 --> 0:27:09.069
<v Speaker 1>for IG, fit for TikTok. I mean, it's endless today, right?

0:27:09.359 --> 0:27:13.660
<v Speaker 1>Hero banners, digital banners, whatever. So you can also now

0:27:13.660 --> 0:27:16.989
<v Speaker 1>use AI to resize and adapt. So that speeds up

0:27:16.989 --> 0:27:18.239
<v Speaker 1>the process by a lot.

0:27:18.699 --> 0:27:22.359
<v Speaker 1>Um, and also using AI to do all the different

0:27:22.359 --> 0:27:28.030
<v Speaker 1>versions for scale. So the result is better, faster, cheaper,

0:27:28.239 --> 0:27:32.959
<v Speaker 1>marketing assets without compromising quality. Yay, for all marketeers. It's

0:27:32.959 --> 0:27:36.160
<v Speaker 1>something that you guys want to hear. Um, now, with

0:27:36.160 --> 0:27:39.679
<v Speaker 1>all this talk of AI, you might wonder, does creativity

0:27:39.680 --> 0:27:40.800
<v Speaker 1>then disappear, right?

0:27:41.209 --> 0:27:45.239
<v Speaker 1>Uh, quite the opposite. Uh, AI is not replacing creativity.

0:27:45.369 --> 0:27:47.669
<v Speaker 1>In fact, it's amplifying it, and I think, you know,

0:27:47.800 --> 0:27:50.489
<v Speaker 1>Guan Hen will give you very, very good in-depth knowledge

0:27:50.489 --> 0:27:53.680
<v Speaker 1>on that later. Here is a perfect example of how

0:27:54.010 --> 0:27:59.329
<v Speaker 1>AI and human ingenuity can feel massive creativity and hyper

0:27:59.329 --> 0:28:03.839
<v Speaker 1>personalization for a brand. So today's consumers crave hyper personalization

0:28:03.839 --> 0:28:08.869
<v Speaker 1>and creativity because we're in this world of content, content, content, content, right?

0:28:09.010 --> 0:28:10.329
<v Speaker 1>Everything has to be entertainment.

0:28:10.739 --> 0:28:13.099
<v Speaker 1>So especially in this case for for Burger King, uh,

0:28:13.180 --> 0:28:16.540
<v Speaker 1>which is the food and beverage industry, where taste is

0:28:16.540 --> 0:28:22.179
<v Speaker 1>very personal and experience is everything, right? So gamification fuels

0:28:22.180 --> 0:28:27.219
<v Speaker 1>engagement with interactive challenges and it rewards by increasing participation

0:28:27.219 --> 0:28:32.050
<v Speaker 1>by about 48%. The, the thrill of competition and achievement

0:28:32.380 --> 0:28:36.420
<v Speaker 1>keeps customers coming back for more, right? So that's that gamification,

0:28:36.459 --> 0:28:38.619
<v Speaker 1>curiosity like, OK, what's next, what's next, you know.

0:28:39.099 --> 0:28:44.180
<v Speaker 1>Um, so, AI is definitely reshaping marketing, right? Uh, a

0:28:44.180 --> 0:28:48.750
<v Speaker 1>report shows that, um, 81% of consumers are open to

0:28:48.750 --> 0:28:53.030
<v Speaker 1>AI-driven personalization that enhance their brand experience. So even though

0:28:53.030 --> 0:28:55.229
<v Speaker 1>you know AI is probably the one that's delivering this

0:28:55.229 --> 0:29:00.010
<v Speaker 1>to you, you're OK. You are absolutely OK with it already. So,

0:29:00.270 --> 0:29:02.709
<v Speaker 1>Burger King took uh innovation.

0:29:03.130 --> 0:29:06.010
<v Speaker 1>To the next level, whereby they developed an AI driven

0:29:06.010 --> 0:29:10.810
<v Speaker 1>platform that lets users create unique Whopper ingredient combinations. You

0:29:10.810 --> 0:29:14.719
<v Speaker 1>all know the Whopper, uh, through a bespoke web experience,

0:29:14.949 --> 0:29:19.650
<v Speaker 1>leveraging advanced AI and diffusion-based technologies, whereby they then transform

0:29:19.650 --> 0:29:25.719
<v Speaker 1>user-generated ideas into personalized AI generated ads with immersive thematic visuals,

0:29:25.729 --> 0:29:28.800
<v Speaker 1>which are then expanded to social platforms. So,

0:29:29.390 --> 0:29:33.510
<v Speaker 1>The result, it's a groundbreaking fusion of creativity, AI and

0:29:33.510 --> 0:29:37.500
<v Speaker 1>gamification that redefines customer engagement. So let's watch how all

0:29:37.500 --> 0:29:40.040
<v Speaker 1>this comes to life in the Burger King Million Dollar

0:29:40.040 --> 0:29:41.010
<v Speaker 1>Whopper case study.

0:29:52.140 --> 0:29:53.469
<v Speaker 1>No, you're here to make a whopper.

0:29:54.369 --> 0:29:57.880
<v Speaker 1>I'm your trusty AI companion Grillio. Now how are you

0:29:57.880 --> 0:29:59.000
<v Speaker 1>going to top your whopper?

0:30:02.640 --> 0:30:03.890
<v Speaker 1>Oh, now we're talking.

0:30:06.170 --> 0:30:08.239
<v Speaker 1>That could be a million dollar combination.

0:30:12.729 --> 0:30:12.739
<v Speaker 1>Yeah.

0:30:13.619 --> 0:30:14.810
<v Speaker 1>Look at what you've made

0:30:18.619 --> 0:30:21.890
<v Speaker 1>No Whopper is complete without a world class ad. Let's

0:30:21.890 --> 0:30:23.290
<v Speaker 1>crown your Whopper creation.

0:30:26.969 --> 0:30:27.359
<v Speaker 1>This is my

0:30:29.180 --> 0:30:32.180
<v Speaker 1>Cotton candy and other toppings with some gummy bear and

0:30:32.180 --> 0:30:34.859
<v Speaker 1>licorice in there try and top that if you dare.

0:30:38.819 --> 0:30:39.569
<v Speaker 1>your way

0:30:41.660 --> 0:30:43.099
<v Speaker 1>How are you gonna top it?

0:30:44.400 --> 0:30:46.839
<v Speaker 1>OK, so there's a question in Q&amp;A, like how, how

0:30:46.839 --> 0:30:50.800
<v Speaker 1>did AI campaigns, you know, bring value or sales? Well,

0:30:50.920 --> 0:30:57.089
<v Speaker 1>this basically resulted in 2.93 million AI Whoppers created. Um,

0:30:57.239 --> 0:31:03.040
<v Speaker 1>it created 1.27 million free Whopper UGC ads that went

0:31:03.040 --> 0:31:06.160
<v Speaker 1>online on social media platforms, but most importantly, there was

0:31:06.160 --> 0:31:09.359
<v Speaker 1>a massive surge of Whopper sales by 28%.

0:31:09.800 --> 0:31:13.760
<v Speaker 1>So this goes to show that an AI driven campaign

0:31:13.760 --> 0:31:17.170
<v Speaker 1>can lead to sales. Southeast Asia is one of the

0:31:17.170 --> 0:31:21.530
<v Speaker 1>fastest growing digital markets, right? Driven by hyper-social mobile first consumers. We,

0:31:21.650 --> 0:31:23.910
<v Speaker 1>we're all on the mobile, we're all on the apps, right?

0:31:24.130 --> 0:31:28.099
<v Speaker 1>So to stay ahead, brands must expand beyond the usual Instagram, TikTok,

0:31:28.130 --> 0:31:31.010
<v Speaker 1>and Facebook, just as what Eric had mentioned earlier on, right?

0:31:31.079 --> 0:31:33.699
<v Speaker 1>Omnichannel marketing is very, very important.

0:31:34.119 --> 0:31:36.640
<v Speaker 1>Um, so, but we need to tap into the unique

0:31:36.640 --> 0:31:39.880
<v Speaker 1>strengths of the emerging and dominant social platforms in the region, right?

0:31:40.040 --> 0:31:43.449
<v Speaker 1>Each platform serves a different purpose. Understanding the strength and

0:31:43.449 --> 0:31:46.729
<v Speaker 1>role is key in maximizing engagement and impact. So take

0:31:46.729 --> 0:31:49.170
<v Speaker 1>WhatsApp for example, while traditionally it's a messaging.

0:31:49.255 --> 0:31:52.635
<v Speaker 1>A, it has evolved into a powerful social commerce tool,

0:31:52.844 --> 0:31:56.795
<v Speaker 1>integrating even with AI chatbots for direct to consumer engagement.

0:31:57.045 --> 0:32:00.285
<v Speaker 1>So this has also now become social commerce platform and

0:32:00.285 --> 0:32:03.204
<v Speaker 1>also a social channel, WhatsApp, which is something we never

0:32:03.204 --> 0:32:06.364
<v Speaker 1>thought would be possible, right? Uh, and in places like Singapore,

0:32:06.525 --> 0:32:11.324
<v Speaker 1>Malaysia and Indonesia, especially, brands are definitely leveraging WhatsApp business

0:32:11.324 --> 0:32:15.505
<v Speaker 1>as a lead generation channel, a conversational commerce tool, and

0:32:15.805 --> 0:32:17.724
<v Speaker 1>customer service and retention driver.

0:32:18.089 --> 0:32:22.209
<v Speaker 1>Again, this is something that's a huge thing and it's

0:32:22.209 --> 0:32:25.569
<v Speaker 1>actually not even costly for businesses to do. So sometimes

0:32:25.569 --> 0:32:28.089
<v Speaker 1>people think oh omnichannel like what Eric said, oh your

0:32:28.089 --> 0:32:30.849
<v Speaker 1>budget be thinned out. That's not true. There are very

0:32:30.849 --> 0:32:36.930
<v Speaker 1>cheap options, right? We have the rise of relatable uh influence, right?

0:32:37.010 --> 0:32:40.589
<v Speaker 1>Local and micro nano influences are leading the way. So

0:32:40.589 --> 0:32:43.959
<v Speaker 1>according to Meta, about 70% of Southeast Asia.

0:32:44.253 --> 0:32:48.892
<v Speaker 1>consumers are relying on influencers before making a purchase. So

0:32:48.892 --> 0:32:52.652
<v Speaker 1>Sephora here is a great example. They utilize local influencers

0:32:52.652 --> 0:32:57.883
<v Speaker 1>in the TikTok and Instagram strategy. So forget macro, mega,

0:32:57.973 --> 0:33:02.093
<v Speaker 1>or celebrity influencers. The real game changers today are actually

0:33:02.093 --> 0:33:06.493
<v Speaker 1>the micro and nano influences. Uh, these are everyday people

0:33:06.493 --> 0:33:08.853
<v Speaker 1>who are highly active on social media. That could be

0:33:08.853 --> 0:33:10.012
<v Speaker 1>any of us, and

0:33:10.066 --> 0:33:12.656
<v Speaker 1>We are deeply connected to the communities. You no longer

0:33:12.656 --> 0:33:16.026
<v Speaker 1>need to have high followers to be this person. Why?

0:33:16.475 --> 0:33:21.416
<v Speaker 1>Because higher engagement and authenticity and conversion rates is what

0:33:21.936 --> 0:33:28.936
<v Speaker 1>gives consumers the trust for real voices over polished celebrity endorsements, right?

0:33:29.095 --> 0:33:32.605
<v Speaker 1>So local micro and nano influencers, they connect directly with

0:33:32.605 --> 0:33:35.975
<v Speaker 1>niche audiences for localized impact.

0:33:36.760 --> 0:33:40.439
<v Speaker 1>So it is a very cost effective and scalable uh

0:33:40.439 --> 0:33:42.920
<v Speaker 1>thing to do for brands. Uh, you can work with

0:33:42.920 --> 0:33:48.030
<v Speaker 1>multiple influences uh to reach diverse demographics without breaking the bank.

0:33:49.670 --> 0:33:55.229
<v Speaker 1>So, in this final example is how a brand turned

0:33:55.229 --> 0:34:00.640
<v Speaker 1>a nobody to a brand icon, an absolute nobody. It

0:34:00.640 --> 0:34:01.989
<v Speaker 1>could be any one of us, right?

0:34:02.359 --> 0:34:05.550
<v Speaker 1>And this is a Cannes gold winning case study, uh,

0:34:05.640 --> 0:34:08.159
<v Speaker 1>in a bold move, Mercado Libre, which is the Amazon

0:34:08.159 --> 0:34:11.159
<v Speaker 1>or Shopee of Latin America, uh, they turned this absolute

0:34:11.159 --> 0:34:16.759
<v Speaker 1>nobody into their own celebrity brand influencer without anyone realizing it, right?

0:34:16.879 --> 0:34:19.919
<v Speaker 1>So with by infiltrating a popular TV show, so you

0:34:19.919 --> 0:34:23.479
<v Speaker 1>guys can think of these ideas and contact Morp. No ads,

0:34:23.679 --> 0:34:24.330
<v Speaker 1>no logo.

0:34:26.469 --> 0:34:29.218
<v Speaker 1>Right? And, and this is the thing that they did,

0:34:29.340 --> 0:34:33.739
<v Speaker 1>very unbrand. There was no ads, no logos, right? Something

0:34:33.739 --> 0:34:36.779
<v Speaker 1>that we don't think works in marketing 101. It's just

0:34:36.780 --> 0:34:41.850
<v Speaker 1>organic storytelling. They ended up educating millions about their brand,

0:34:42.139 --> 0:34:46.500
<v Speaker 1>turning an absolute unknown figure into a viral social media sensation.

0:34:47.040 --> 0:34:52.040
<v Speaker 1>This is the power of unbranded storytelling, providing, proving that

0:34:52.040 --> 0:34:55.229
<v Speaker 1>sometimes going unbrand is the smartest way to build the brand.

0:34:55.719 --> 0:34:57.879
<v Speaker 1>So I hope this inspired new ways for you guys

0:34:57.879 --> 0:35:02.429
<v Speaker 1>to disrupt, engage and create brand love in unexpected places. Um,

0:35:02.439 --> 0:35:05.719
<v Speaker 1>and next to Guan Hen, the creative maestro.

0:35:07.290 --> 0:35:13.279
<v Speaker 1>Heyn. Wow, bring us home to a big finish. Yeah,

0:35:13.489 --> 0:35:17.489
<v Speaker 1>fantastic presentation, Mona. Hey, um, I just wanted to say

0:35:17.489 --> 0:35:21.520
<v Speaker 1>thanks Dashan for also introducing a great introduction for me

0:35:21.520 --> 0:35:24.330
<v Speaker 1>and just want to let everyone know that Dashan is

0:35:24.330 --> 0:35:27.330
<v Speaker 1>also a Hall of Fame for the media mongol, so

0:35:27.330 --> 0:35:28.600
<v Speaker 1>congratulations to you.

0:35:29.060 --> 0:35:32.439
<v Speaker 1>You know, it's been proven that creativity, right, can maximize

0:35:32.439 --> 0:35:35.360
<v Speaker 1>with each dollar spent and to get the eyeballs needed

0:35:35.360 --> 0:35:39.030
<v Speaker 1>to improve your ROI. You know, as Eric mentioned just now,

0:35:39.199 --> 0:35:42.959
<v Speaker 1>how creativity can be used to beat the algorithms, which

0:35:42.959 --> 0:35:47.199
<v Speaker 1>is fantastic. Creativity, as you know, we all know, has

0:35:47.199 --> 0:35:52.000
<v Speaker 1>been the lifeblood of innovation. So in 2025, I think

0:35:52.000 --> 0:35:55.679
<v Speaker 1>the way the brands connect with the audience is evolving

0:35:55.679 --> 0:35:56.509
<v Speaker 1>rapidly as you

0:35:56.555 --> 0:35:59.906
<v Speaker 1>You can see from both the presentations. And today, I'll

0:35:59.906 --> 0:36:04.706
<v Speaker 1>explore three trends driving the most inspiring campaigns, right? Purpose

0:36:04.706 --> 0:36:11.176
<v Speaker 1>driven innovation, AI driven personalization and gamification, paired with multi-sensorial

0:36:11.176 --> 0:36:17.825
<v Speaker 1>engagement from award-winning examples from the Asia Asia Awards. So

0:36:17.825 --> 0:36:21.986
<v Speaker 1>I'm the APEC regional director of the One Club and

0:36:21.986 --> 0:36:23.986
<v Speaker 1>we do um you know, foster these.

0:36:24.062 --> 0:36:29.132
<v Speaker 1>Creative awards and we hope to share as much as possible. Also,

0:36:29.210 --> 0:36:32.652
<v Speaker 1>I'll be exploring from my book Collide embracing conflict to

0:36:32.652 --> 0:36:36.401
<v Speaker 1>boost creativity, a bestselling penguin, and want to share with you,

0:36:36.531 --> 0:36:40.291
<v Speaker 1>creativity doesn't come from a vacuum, it also comes from

0:36:40.291 --> 0:36:45.451
<v Speaker 1>a friction, right, where unexpected ideas collide, technologies collide, cultural

0:36:45.451 --> 0:36:51.412
<v Speaker 1>shifts collide, and innovation will, will just spark and expand.

0:36:51.919 --> 0:36:54.600
<v Speaker 1>So let's go to the next slide. The first trend

0:36:54.600 --> 0:36:59.138
<v Speaker 1>I want to talk about is purpose-driven innovation and social impact.

0:36:59.310 --> 0:37:03.870
<v Speaker 1>You know, purpose is the new currency, right? Today's consumers

0:37:03.870 --> 0:37:06.790
<v Speaker 1>demand brands for stand for something meaningful, right?

0:37:07.500 --> 0:37:10.600
<v Speaker 1>So two examples I shared with you from Vaseline skin

0:37:10.600 --> 0:37:14.199
<v Speaker 1>for skins done in Singapore for the region and to

0:37:14.199 --> 0:37:18.399
<v Speaker 1>match burn burn victims who donated skin. And there is

0:37:18.399 --> 0:37:23.360
<v Speaker 1>another example from New Zealand for pedigree adoptable campaigns to

0:37:23.360 --> 0:37:25.479
<v Speaker 1>help shelter dogs to find homes, right?

0:37:25.850 --> 0:37:30.419
<v Speaker 1>And these societal challenges isn't always easy, it's not very comfortable,

0:37:30.550 --> 0:37:33.709
<v Speaker 1>but when brands step up to make these challenging spaces,

0:37:33.830 --> 0:37:38.459
<v Speaker 1>they create powerful, authentic stories that resonate. So let's go

0:37:38.459 --> 0:37:39.310
<v Speaker 1>to the next slide.

0:37:40.149 --> 0:37:44.209
<v Speaker 1>This is an example for pedigree adoptable campaign and it's

0:37:44.209 --> 0:37:48.919
<v Speaker 1>a perfect example. As you as you've seen from Muna's work, right,

0:37:49.169 --> 0:37:53.090
<v Speaker 1>again using AI, but I thought this particular work not

0:37:53.090 --> 0:37:56.530
<v Speaker 1>only won tons and tons and awards, right, it's using

0:37:56.530 --> 0:37:58.750
<v Speaker 1>AI for purpose. It created

0:37:58.949 --> 0:38:05.469
<v Speaker 1>Personalized at showcasing, shelter dog's personality and preference, and also

0:38:05.469 --> 0:38:10.770
<v Speaker 1>potential adopters connected emotionally well to each dog's story, leading

0:38:10.770 --> 0:38:15.169
<v Speaker 1>to increased um you know dogs being adopted. This campaign

0:38:15.169 --> 0:38:17.350
<v Speaker 1>was a collision of compassion.

0:38:17.750 --> 0:38:24.020
<v Speaker 1>And technology. So again, combining AI with emotional storytelling, pedigree

0:38:24.020 --> 0:38:30.139
<v Speaker 1>made a a world-class impact, reinforcing the brand purpose. Let's

0:38:30.139 --> 0:38:36.320
<v Speaker 1>watch the next case study. Purpose advertising.

0:38:37.209 --> 0:38:39.629
<v Speaker 1>Pedigree and Nexus Studios present.

0:38:41.020 --> 0:38:41.939
<v Speaker 1>Adaptable

0:38:44.070 --> 0:38:47.989
<v Speaker 1>Adaptable uses machine learning to transform a basic photo of

0:38:47.989 --> 0:38:51.429
<v Speaker 1>a shelter dog into studio quality photography.

0:38:53.179 --> 0:38:56.540
<v Speaker 1>That shelter dog can then be inserted into any digital

0:38:56.540 --> 0:38:57.500
<v Speaker 1>pedigree ad.

0:39:00.020 --> 0:39:04.239
<v Speaker 1>Each ad directs people to a personalized landing page. Here

0:39:04.239 --> 0:39:06.709
<v Speaker 1>they can learn more about the dog they just saw

0:39:07.120 --> 0:39:10.678
<v Speaker 1>and when adopted, that dog is instantly dropped out of

0:39:10.679 --> 0:39:11.759
<v Speaker 1>media rotation.

0:39:13.419 --> 0:39:17.699
<v Speaker 1>Now every pedigree campaign can feature an adoptable dog

0:39:17.699 --> 0:39:17.939
<v Speaker 2>near

0:39:17.939 --> 0:39:21.620
<v Speaker 2>you. Adoptable uses an AI model that is trained to

0:39:21.620 --> 0:39:24.500
<v Speaker 2>understand the exact visual composition and the nuance of the

0:39:24.500 --> 0:39:29.300
<v Speaker 2>specific dog. Fur length, body shape and color identity can

0:39:29.300 --> 0:39:32.139
<v Speaker 2>all be customized to match the individual dog waiting in

0:39:32.139 --> 0:39:35.419
<v Speaker 2>the shelter, right down to its unique markings.

0:39:37.399 --> 0:39:39.889
<v Speaker 2>And because the rig is fully augmentable, the dog can

0:39:39.889 --> 0:39:42.209
<v Speaker 2>be positioned to suit any immediate format.

0:39:45.899 --> 0:39:49.739
<v Speaker 1>But currently 1 in 5 adopted dogs are returned to shelters.

0:39:50.510 --> 0:39:54.350
<v Speaker 1>Using geographic data like proximity to parks and household sizes,

0:39:54.469 --> 0:39:58.069
<v Speaker 1>adoptable matches dogs to the locations that suit them best.

0:39:59.830 --> 0:40:03.429
<v Speaker 1>We're using really bleeding edge technology that's never been done

0:40:03.429 --> 0:40:06.629
<v Speaker 1>before to help us as an activist brand really move

0:40:06.629 --> 0:40:11.029
<v Speaker 1>our purpose forward. Adoptable is transformational for us at Pedigree

0:40:11.030 --> 0:40:13.830
<v Speaker 1>because it puts our purpose at the heart of everything

0:40:13.830 --> 0:40:16.889
<v Speaker 1>that we do. Now, every $1 we spend on digital

0:40:16.889 --> 0:40:19.189
<v Speaker 1>out of home will not only help to bring our

0:40:19.189 --> 0:40:21.909
<v Speaker 1>products to the world, it will help bring adoptable dogs

0:40:21.909 --> 0:40:22.429
<v Speaker 1>to the world too.

0:40:26.100 --> 0:40:31.899
<v Speaker 1>The second trend is AI driven personalization and creative augmentation.

0:40:32.149 --> 0:40:35.109
<v Speaker 1>You know, for example, campaigns like Play Library, which I'll

0:40:35.110 --> 0:40:38.709
<v Speaker 1>share with you in a second, which turned literature into gamification,

0:40:38.790 --> 0:40:43.959
<v Speaker 1>interactive experience, and the adoptable you just saw shows AI

0:40:43.959 --> 0:40:47.620
<v Speaker 1>potential to create deeply personal and relevant stories.

0:40:48.219 --> 0:40:51.919
<v Speaker 1>As you can see, right, AI doesn't really replace creativity,

0:40:52.000 --> 0:40:55.879
<v Speaker 1>it enhances it. It allows us to analyze behavior and

0:40:55.879 --> 0:40:58.669
<v Speaker 1>tailor make the experience in real time.

0:40:59.479 --> 0:41:02.370
<v Speaker 1>And the most important thing is that we need to

0:41:02.370 --> 0:41:07.120
<v Speaker 1>embrace um you know, AI. AI isn't creative on its own.

0:41:07.250 --> 0:41:09.560
<v Speaker 1>I mean, AI is not going to take over our jobs,

0:41:09.570 --> 0:41:12.689
<v Speaker 1>but people who know how to use AI will. The

0:41:12.689 --> 0:41:17.120
<v Speaker 1>breakthrough comes through from the collision of AI's capabilities with

0:41:17.120 --> 0:41:18.530
<v Speaker 1>human imagination.

0:41:19.139 --> 0:41:22.969
<v Speaker 1>So the next slide is the example done in Singapore

0:41:22.969 --> 0:41:28.580
<v Speaker 1>by um Lear, right, and it combines transforming literature into

0:41:28.580 --> 0:41:35.089
<v Speaker 1>interactive experience. They turn static literature into interactive sensory experiences.

0:41:35.260 --> 0:41:38.000
<v Speaker 1>So as you know, you know, book reading is not

0:41:38.000 --> 0:41:39.659
<v Speaker 1>that popular. You see bookshops are closed.

0:41:40.264 --> 0:41:44.745
<v Speaker 1>But this great example uses AI to employ large language

0:41:44.745 --> 0:41:49.145
<v Speaker 1>models like JGBT train on extensive, you know, um, books,

0:41:49.264 --> 0:41:53.784
<v Speaker 1>data sets, and the AI transform very linear, boring, um,

0:41:53.794 --> 0:41:57.745
<v Speaker 1>you know, traditional storytelling into a game mission based on

0:41:57.745 --> 0:42:03.024
<v Speaker 1>the key plots and character development. This campaign really demonstrates

0:42:03.024 --> 0:42:07.465
<v Speaker 1>the power of creative collision between all traditional media like

0:42:07.465 --> 0:42:08.544
<v Speaker 1>you know, books.

0:42:08.919 --> 0:42:14.030
<v Speaker 1>Into new ways of playing with your customers using AI

0:42:14.030 --> 0:42:19.159
<v Speaker 1>and this intersection really leads to fresh perspective, but most important,

0:42:19.239 --> 0:42:22.989
<v Speaker 1>as you can see from this creativity, it's exciting, it's engaging,

0:42:23.159 --> 0:42:27.439
<v Speaker 1>it will help hopefully improve your ROI. So let's watch this.

0:42:31.850 --> 0:42:36.149
<v Speaker 1>Let's face it, kids don't read anymore. For decades, technology

0:42:36.149 --> 0:42:38.969
<v Speaker 1>keeps giving them more tempting things to do. And now

0:42:38.969 --> 0:42:41.969
<v Speaker 1>with AI teachers think it's the final blow to reading.

0:42:42.050 --> 0:42:44.590
<v Speaker 1>I was absolutely panic. But what if the problem could

0:42:44.590 --> 0:42:49.250
<v Speaker 1>become the solution? Introducing Playbrewery, an AI that turns books

0:42:49.250 --> 0:42:51.729
<v Speaker 1>into something kids love the video game.

0:42:52.159 --> 0:42:54.610
<v Speaker 1>And for this we hired someone who has read all

0:42:54.610 --> 0:42:58.009
<v Speaker 1>the books in the world, Jet GBT. It is capable

0:42:58.010 --> 0:43:01.609
<v Speaker 1>of telling famous stories preserving the original writing, the author's

0:43:01.610 --> 0:43:05.239
<v Speaker 1>unique tone of voice, and character dialogues again and again.

0:43:06.139 --> 0:43:09.100
<v Speaker 1>We've launched a custom built version of Chad GPT that

0:43:09.100 --> 0:43:12.939
<v Speaker 1>deconstructs a linear plot into a branching story allowing readers

0:43:12.939 --> 0:43:16.750
<v Speaker 1>to become players. Pick a book, Playbury will transform it,

0:43:16.899 --> 0:43:20.379
<v Speaker 1>introducing characters and turning each scene into a mission. We

0:43:20.379 --> 0:43:21.899
<v Speaker 1>want some graphics. I want some graphics.

0:43:22.770 --> 0:43:25.969
<v Speaker 1>It will even prompt itself to generate Pixel art graphics

0:43:25.969 --> 0:43:29.010
<v Speaker 1>for every step of the story. You choose or prompt

0:43:29.010 --> 0:43:32.370
<v Speaker 1>how the story unfolds and it adapts to you. After

0:43:32.370 --> 0:43:35.569
<v Speaker 1>a few chapters, Playbury offers to borrow the actual book

0:43:35.570 --> 0:43:38.280
<v Speaker 1>for free from the library and read the full story.

0:43:39.860 --> 0:43:43.658
<v Speaker 1>Launched in libraries across Singapore, it offers visitors a radically

0:43:43.659 --> 0:43:47.139
<v Speaker 1>new way to read, extended to schools where kids could

0:43:47.139 --> 0:43:51.750
<v Speaker 1>finally play games. Singapore was playing books and kept asking

0:43:51.750 --> 0:43:52.370
<v Speaker 1>for more.

0:43:53.810 --> 0:43:57.389
<v Speaker 2>It's interesting how the National Library of Singapore uses AI

0:43:57.389 --> 0:44:01.469
<v Speaker 2>to transform the reading experience and uses gaming to appeal

0:44:01.469 --> 0:44:03.669
<v Speaker 2>to readers, especially the younger ones.

0:44:09.840 --> 0:44:14.199
<v Speaker 1>Playbury reimagines global education and reading, creating a more engaging

0:44:14.199 --> 0:44:17.389
<v Speaker 1>and imaginative future in harmony with technology.

0:44:18.570 --> 0:44:22.570
<v Speaker 1>How was it again? The book is better than the game. Honestly,

0:44:22.969 --> 0:44:24.040
<v Speaker 1>we think it's both.

0:44:26.010 --> 0:44:30.320
<v Speaker 1>Yeah, it's a fantastic idea from the park. And um

0:44:30.320 --> 0:44:33.319
<v Speaker 1>so let's move on to the third and last trend,

0:44:33.399 --> 0:44:37.069
<v Speaker 1>which is gamification and multi-sensory engagement.

0:44:37.469 --> 0:44:40.850
<v Speaker 1>You know, in an era where we've seen from, you know,

0:44:41.270 --> 0:44:44.229
<v Speaker 1>what's happening around the world, attention span is getting shorter

0:44:44.229 --> 0:44:49.149
<v Speaker 1>and shorter. We need consumers to really capture, um, you know,

0:44:49.590 --> 0:44:53.120
<v Speaker 1>we need our work to capture their attention and gamification

0:44:53.120 --> 0:44:57.509
<v Speaker 1>taps in their love for play. So campaigns like Vaseline

0:44:57.510 --> 0:45:01.250
<v Speaker 1>from ONM, virtual skins, gafiess meaningful causes,

0:45:01.695 --> 0:45:04.885
<v Speaker 1>social impact, as you can see from the last two

0:45:04.885 --> 0:45:08.614
<v Speaker 1>campaigns I've just shared with you, multi-sensory storytelling, you know,

0:45:08.665 --> 0:45:13.534
<v Speaker 1>engaging the sight, sound, touch creates really emotional bonds and

0:45:13.534 --> 0:45:17.975
<v Speaker 1>moments that audience will never ever forget. The magic comes

0:45:17.975 --> 0:45:22.965
<v Speaker 1>from emerging entertainment with purpose, crafting experiences that are both

0:45:22.965 --> 0:45:25.013
<v Speaker 1>joyful and meaningful.

0:45:25.649 --> 0:45:28.678
<v Speaker 1>In the next slide, I want to share with you

0:45:28.679 --> 0:45:34.060
<v Speaker 1>this Vaseline virtual skins, offering gamers a chance to help

0:45:34.060 --> 0:45:39.750
<v Speaker 1>raise awareness for burn victims through an integrated in-game experience.

0:45:40.000 --> 0:45:40.860
<v Speaker 1>You know, this game.

0:45:41.070 --> 0:45:46.830
<v Speaker 1>Succeeded because it raised the collision of two seemingly unrelated worlds,

0:45:46.949 --> 0:45:51.029
<v Speaker 1>the gaming and the social impact, right? And then when

0:45:51.030 --> 0:45:56.040
<v Speaker 1>these collide, extraordinary experiences, creativity emerges.

0:45:56.790 --> 0:45:59.949
<v Speaker 1>What connects these trends is their emotional impact, as you

0:45:59.949 --> 0:46:04.270
<v Speaker 1>can see from these examples. Purpose engages the heart. You know,

0:46:04.429 --> 0:46:07.620
<v Speaker 1>purpose doesn't need to be so big, right? People need

0:46:07.620 --> 0:46:10.840
<v Speaker 1>to care about what they're selling because if people don't care,

0:46:11.070 --> 0:46:15.969
<v Speaker 1>they'll never share. AI engages the mind and gamification taps

0:46:15.969 --> 0:46:20.429
<v Speaker 1>into the joy of participation, right? Again, you know, all

0:46:20.429 --> 0:46:23.830
<v Speaker 1>these come from a friction of unexpected ideas colliding.

0:46:24.570 --> 0:46:30.389
<v Speaker 1>technology, in humanity, traditional and innovation, data and emotional. And

0:46:30.389 --> 0:46:34.149
<v Speaker 1>that's where the magic happens. In conclusion, right? What does

0:46:34.149 --> 0:46:36.870
<v Speaker 1>it mean for all of us, right? Be bold, right?

0:46:37.060 --> 0:46:40.620
<v Speaker 1>That's what I'm sharing with you. Be authentic, be experimental,

0:46:40.989 --> 0:46:46.388
<v Speaker 1>because when you align with clear purpose, authenticness happens. Make

0:46:46.389 --> 0:46:51.029
<v Speaker 1>it real, make it relatable, make it relevant. Second, embrace AI.

0:46:51.350 --> 0:46:55.229
<v Speaker 1>not as a competition, but as collaborator. You know, AI

0:46:55.229 --> 0:47:01.629
<v Speaker 1>is not just called artificial intelligence. Let it be amplified imagination,

0:47:01.909 --> 0:47:08.109
<v Speaker 1>amplified imagination, and finally, designed for play because joy brings

0:47:08.110 --> 0:47:13.030
<v Speaker 1>deeper connection between your brand and your consumers with what

0:47:13.030 --> 0:47:16.949
<v Speaker 1>Mona's section was all about, right? She speaks about gamification

0:47:16.949 --> 0:47:18.229
<v Speaker 1>and that's so true.

0:47:18.679 --> 0:47:26.179
<v Speaker 1>So, importantly, just embrace creative collisions because innovation thrives where ideas, cultures,

0:47:26.219 --> 0:47:30.139
<v Speaker 1>and technology meet and collide and that's how we create

0:47:30.139 --> 0:47:33.179
<v Speaker 1>future ready brands. Again, if you like to explore how

0:47:33.179 --> 0:47:35.889
<v Speaker 1>your brands can be future ready, I'd love to help.

0:47:36.060 --> 0:47:38.859
<v Speaker 1>Do connect with me on LinkedIn and I hope these

0:47:38.860 --> 0:47:41.569
<v Speaker 1>trends will be relevant in what you're working on right now.

0:47:41.739 --> 0:47:42.819
<v Speaker 1>Over to you, Dashin.

0:47:43.449 --> 0:47:46.589
<v Speaker 1>Yeah. Um, one, thank you, thank you for that. Actually,

0:47:46.850 --> 0:47:50.179
<v Speaker 1>I'm very happy you brought up the whole point about purpose, right?

0:47:50.429 --> 0:47:53.779
<v Speaker 1>And it's the purpose of the brand. Many marketers focus

0:47:53.909 --> 0:47:57.659
<v Speaker 1>on the fact that their purpose is to sell rather

0:47:57.659 --> 0:48:00.459
<v Speaker 1>than what is the purpose of the brand, which actually

0:48:00.459 --> 0:48:04.350
<v Speaker 1>is the thing that creates that emotional connection that allows

0:48:04.350 --> 0:48:06.870
<v Speaker 1>you to storify, allows you to then.

0:48:07.030 --> 0:48:10.649
<v Speaker 1>Connect with the audience and then eventually the outcome is

0:48:10.649 --> 0:48:14.139
<v Speaker 1>that you will sell something, right? But we're so, um,

0:48:14.149 --> 0:48:16.550
<v Speaker 1>because we're looking through the questions in the Q&amp;A, I

0:48:16.550 --> 0:48:18.320
<v Speaker 1>know we're running a little bit late, but I thought

0:48:18.320 --> 0:48:20.428
<v Speaker 1>that there was one question that I kind of just

0:48:20.429 --> 0:48:24.189
<v Speaker 1>wanted to throw out there before we close. Um, all

0:48:24.189 --> 0:48:26.709
<v Speaker 1>of you who put in questions, thank you so much. We,

0:48:26.909 --> 0:48:30.399
<v Speaker 1>we will send out an EDM post this.

0:48:30.629 --> 0:48:34.389
<v Speaker 1>Session that will have all the answers um by the,

0:48:34.590 --> 0:48:37.669
<v Speaker 1>by the relative by the, by the speakers, OK? So

0:48:37.669 --> 0:48:39.509
<v Speaker 1>for all of you, so watch out for that. But

0:48:39.510 --> 0:48:41.709
<v Speaker 1>the one question I wanted to ask, I wanted to

0:48:41.709 --> 0:48:44.948
<v Speaker 1>put that out there about purpose, because there was one

0:48:44.949 --> 0:48:49.110
<v Speaker 1>question that said, now the question is, how do people

0:48:49.110 --> 0:48:54.069
<v Speaker 1>measure ROI in this world where attribution of

0:48:54.120 --> 0:48:58.069
<v Speaker 1>Efforts is so difficult, given all the wall gardens for

0:48:58.070 --> 0:49:01.310
<v Speaker 1>platforms and publishers. How can you be confident that it's

0:49:01.310 --> 0:49:05.870
<v Speaker 1>a specific campaign that's causing uplift versus anything else that's

0:49:05.870 --> 0:49:10.669
<v Speaker 1>going on? That's a very big question. I, I'm not

0:49:10.669 --> 0:49:13.550
<v Speaker 1>sure how we're gonna answer this, but, you know, I'm

0:49:13.550 --> 0:49:16.510
<v Speaker 1>going to throw this at Eric and have him take

0:49:16.510 --> 0:49:17.540
<v Speaker 1>a stab at this one.

0:49:19.010 --> 0:49:22.529
<v Speaker 1>Yeah, tough question. Uh, I feel like, um, yeah, I,

0:49:22.610 --> 0:49:25.860
<v Speaker 1>I'll give it a crack. Um, I think, look, measuring ROI, uh,

0:49:25.929 --> 0:49:27.889
<v Speaker 1>it's always a tough one. It also depends on, you know,

0:49:28.050 --> 0:49:31.409
<v Speaker 1>how deep into the funnel you're looking. Um, probably the

0:49:31.409 --> 0:49:33.770
<v Speaker 1>best but most expensive way is to do some form

0:49:33.770 --> 0:49:37.489
<v Speaker 1>of market mix modeling. Um, I'd say then if you

0:49:37.489 --> 0:49:39.169
<v Speaker 1>don't do that, which is I think a lot of

0:49:39.169 --> 0:49:42.729
<v Speaker 1>brands can't, if to be confident on your specific campaign,

0:49:42.770 --> 0:49:44.989
<v Speaker 1>you probably first need to know your base levels. I

0:49:44.989 --> 0:49:47.010
<v Speaker 1>know it's very difficult for us to,

0:49:47.510 --> 0:49:50.350
<v Speaker 1>Isolate a specific campaign, especially for those that have always

0:49:50.350 --> 0:49:53.219
<v Speaker 1>on running, but then you can start to like work

0:49:53.219 --> 0:49:55.229
<v Speaker 1>in this world of proxies, and I think at least,

0:49:55.270 --> 0:49:57.509
<v Speaker 1>you know, what we do, um, on Apple as well

0:49:57.510 --> 0:49:59.270
<v Speaker 1>is we work with a lot of proxies also because

0:49:59.270 --> 0:50:02.949
<v Speaker 1>we don't look at people's data. So I think it's

0:50:02.949 --> 0:50:05.479
<v Speaker 1>really just figuring out what your base is, knowing what

0:50:05.479 --> 0:50:07.949
<v Speaker 1>that key um objective or return is, and then looking

0:50:07.949 --> 0:50:10.149
<v Speaker 1>at it that way, and then I mean AI for

0:50:10.149 --> 0:50:12.819
<v Speaker 1>better audience engagement in multi-channel marketing.

0:50:13.270 --> 0:50:14.879
<v Speaker 1>There's multiple ways in which you can do it. I

0:50:14.879 --> 0:50:16.750
<v Speaker 1>think something that I'm doing right now is more from

0:50:16.750 --> 0:50:19.429
<v Speaker 1>a discovery level. So using AI to really help me

0:50:19.429 --> 0:50:22.388
<v Speaker 1>hone in on which audiences I should be reaching based

0:50:22.389 --> 0:50:24.549
<v Speaker 1>on what I need, and then I kind of build

0:50:24.550 --> 0:50:28.620
<v Speaker 1>um my insight development, my media strategy from, from there, yeah.

0:50:29.074 --> 0:50:31.074
<v Speaker 1>Right, Eric Eric, just to add on to that, I mean,

0:50:31.354 --> 0:50:33.864
<v Speaker 1>you know, having, having privilege of working with all these

0:50:33.864 --> 0:50:35.995
<v Speaker 1>brands that I that I get to work on, I

0:50:35.995 --> 0:50:40.034
<v Speaker 1>will say, um, in response to that, that question, I

0:50:40.034 --> 0:50:44.875
<v Speaker 1>will say those top tier market leading MNC global brands.

0:50:45.330 --> 0:50:50.169
<v Speaker 1>You know, they're talking about 2030 different data signals that they're,

0:50:50.370 --> 0:50:52.929
<v Speaker 1>that they're pulling together to form a picture. You know,

0:50:52.969 --> 0:50:56.199
<v Speaker 1>we're not even talking about triangulation, right? So we're talking

0:50:56.199 --> 0:50:59.050
<v Speaker 1>about it's so multi-touch point. So I, I will say

0:50:59.050 --> 0:51:01.570
<v Speaker 1>that I fully agree with Eric, you need to know

0:51:01.570 --> 0:51:04.850
<v Speaker 1>what your baselines are, then you need to kind of

0:51:04.850 --> 0:51:07.810
<v Speaker 1>map out your, your, your plan over a year and

0:51:07.810 --> 0:51:08.649
<v Speaker 1>with each.

0:51:08.795 --> 0:51:13.134
<v Speaker 1>Engagement, have a specific data signal that you are looking

0:51:13.135 --> 0:51:16.855
<v Speaker 1>out for, so that over time you're building a view

0:51:16.855 --> 0:51:20.865
<v Speaker 1>on your ROI. You're, you're absolutely right, there is no one,

0:51:21.105 --> 0:51:24.506
<v Speaker 1>you know, magic source of this ROI data. That's why

0:51:24.506 --> 0:51:27.186
<v Speaker 1>um I know for my team, you know, we actively

0:51:27.186 --> 0:51:29.906
<v Speaker 1>hire people from the data side of things because we

0:51:29.906 --> 0:51:32.315
<v Speaker 1>need them to look at the data and be able to.

0:51:32.392 --> 0:51:36.591
<v Speaker 1>Punch it and to then make it into a story that,

0:51:36.802 --> 0:51:39.960
<v Speaker 1>that says one thing or another, right? Because, yeah, it

0:51:39.960 --> 0:51:41.981
<v Speaker 1>all lies in data and how you're collecting it. So

0:51:41.981 --> 0:51:46.082
<v Speaker 1>I fully agree with that. Um, we're at 11:04. I

0:51:46.082 --> 0:51:48.632
<v Speaker 1>just wanted to, and, um, people are leaving the room, so,

0:51:48.642 --> 0:51:52.161
<v Speaker 1>but I just wanted to close with one question to

0:51:52.161 --> 0:51:55.832
<v Speaker 1>everyone on, on my panel. Um, we, and the question is,

0:51:56.800 --> 0:51:57.889
<v Speaker 1>Now, panel.

0:51:58.889 --> 0:52:01.770
<v Speaker 1>What will be keeping you awake?

0:52:02.689 --> 0:52:04.270
<v Speaker 1>In 2025.

0:52:05.159 --> 0:52:07.290
<v Speaker 1>What is the, what is that one thing that will

0:52:07.290 --> 0:52:11.330
<v Speaker 1>be keeping you awake in 2025? Muna, do you want, Mona,

0:52:11.399 --> 0:52:12.049
<v Speaker 1>do you want to start?

0:52:12.879 --> 0:52:15.379
<v Speaker 1>I'm gonna I hate myself for saying this, but it's

0:52:15.379 --> 0:52:25.129
<v Speaker 1>how can we make it better, faster, cheaper for everyone. Yeah,

0:52:25.139 --> 0:52:25.219
<v Speaker 1>I think so. Um, um.

0:52:25.989 --> 0:52:29.679
<v Speaker 1>It's um the fear of keeping up the change. Every

0:52:29.679 --> 0:52:32.199
<v Speaker 1>time when I learn something, something new comes up and

0:52:32.199 --> 0:52:36.000
<v Speaker 1>it's really tough to obviously learn restart again. So the

0:52:36.000 --> 0:52:38.479
<v Speaker 1>fear of keeping up with the change. And I think

0:52:38.479 --> 0:52:41.080
<v Speaker 1>on that one, I would say it's, let's all be

0:52:41.080 --> 0:52:43.879
<v Speaker 1>kinder to ourselves. There really is a lot going on

0:52:43.879 --> 0:52:46.159
<v Speaker 1>in the world. So unless you start from a point

0:52:46.159 --> 0:52:46.379
<v Speaker 1>of

0:52:46.433 --> 0:52:48.822
<v Speaker 1>You know, where you're kinder to yourself and giving yourself

0:52:48.822 --> 0:52:52.583
<v Speaker 1>time to absorb information, rather than beating yourself up every

0:52:52.583 --> 0:52:54.153
<v Speaker 1>day and looking in mirror, waking up, looking in the

0:52:54.152 --> 0:52:56.482
<v Speaker 1>mirror and going, Why am I not there yet? I,

0:52:56.542 --> 0:52:58.532
<v Speaker 1>I think you're, you're going to be the biggest block

0:52:58.532 --> 0:53:01.822
<v Speaker 1>to your, your success and your progress. So I, I

0:53:01.822 --> 0:53:05.062
<v Speaker 1>totally agree with you. I'm going in on that. You know, I,

0:53:05.183 --> 0:53:06.782
<v Speaker 1>I fear that as well. Um.

0:53:06.895 --> 0:53:08.805
<v Speaker 1>Um, but I have learned to be a little bit

0:53:08.805 --> 0:53:11.165
<v Speaker 1>kinder to myself and say, OK, you know, there's some

0:53:11.166 --> 0:53:13.645
<v Speaker 1>things that are, I must know now, there's some things

0:53:13.645 --> 0:53:15.726
<v Speaker 1>that it's OK if I know next month. There are

0:53:15.726 --> 0:53:17.365
<v Speaker 1>some things that are OK if I know 6 months

0:53:17.364 --> 0:53:20.516
<v Speaker 1>from now, it's OK. You know, it will be OK,

0:53:20.605 --> 0:53:23.844
<v Speaker 1>but just pace yourself, right, and not beat yourself up

0:53:23.844 --> 0:53:27.035
<v Speaker 1>about it. Now, Eric, last but not least,

0:53:27.780 --> 0:53:29.889
<v Speaker 1>Yeah, I think, I think about it a lot at night,

0:53:30.060 --> 0:53:32.719
<v Speaker 1>whether we need to rethink about how we reach people,

0:53:33.020 --> 0:53:35.699
<v Speaker 1>is it less about reaching people with pure product and

0:53:35.699 --> 0:53:38.500
<v Speaker 1>more about reaching people with product opinion. So that's kind

0:53:38.500 --> 0:53:40.659
<v Speaker 1>of where my head's at these days, yeah.

0:53:41.100 --> 0:53:43.350
<v Speaker 1>OK. Thank you so much. Thank you so much for

0:53:43.350 --> 0:53:45.939
<v Speaker 1>your time today. Thank you to all of you who,

0:53:46.030 --> 0:53:48.830
<v Speaker 1>who came and joined us today for our first webinar

0:53:48.830 --> 0:53:51.310
<v Speaker 1>of the year. I hope you enjoyed yourself, and I

0:53:51.310 --> 0:53:53.989
<v Speaker 1>hope I've kept, um, to the promise that it was

0:53:53.989 --> 0:53:57.270
<v Speaker 1>going to be a scintillating session. Um, I really enjoyed

0:53:57.270 --> 0:53:59.739
<v Speaker 1>all the examples and I, I personally learned a lot.

0:54:00.070 --> 0:54:02.429
<v Speaker 1>Thank you so much, everyone, for attending.