BRAVE COMMERCE | Episode Unilever’s Branden Goodman on the New Rules of Consumer Discovery
In this episode of BRAVE COMMERCE, Rachel Tipograph and Sarah Hofstetter speak with Branden Goodman, Head of Media & Marketing Capabilities, Beauty & Wellbeing US at Unilever, about how brands must adapt as algorithm-driven discovery reshapes consumer attention.
Branden explains why Unilever has embraced a social-first approach, what the shift from follower-based discovery to interest-driven discovery means for marketers, and how content creation is evolving from a campaign mindset to a continuous system of testing, learning, and optimization. He also shares how Unilever is building a modern content supply chain, where automation can accelerate execution, and why measurement must balance long-term business outcomes with real-time signals.
Key takeaways
- Consumer discovery is shifting away from social connections (who users follow) and toward algorithmic recommendations (what platforms predict is relevant).
- Winning brands are building content engines designed for continuous experimentation, not one-time campaigns.
- Real-time signals can improve performance, but long-term business outcomes should remain the ultimate measure of success.
See omnystudio.com/listener for privacy information.
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Speaker 1: I’m proud of the infrastructure that Unilever has built up
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Speaker 1: and their commitment to measurement. The saying that we like
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Speaker 1: to lean on is that we want to be the
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Speaker 1: most outcome-driven advertiser in the industry. And a lot of
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Speaker 1: that is not measurement theater. There’s far too many metrics
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Speaker 1: to track within the media space. You can get lost.
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Speaker 1: I find that there’s always a way to tell a
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Speaker 1: great story when it comes to your media deployment. But
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Speaker 1: at the end of the day, the question that you
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Speaker 1: need to answer is whether or not there’s a true
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Speaker 1: commercial impact. And we need to hold our media accountable
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Speaker 1: for business delivery. And we need to use media, the
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Speaker 1: measurement of media, to make better business decisions.
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Speaker 2: Welcome to today’s episode of Free of Commerce. I’m Sarah Hofstadter.
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Speaker 3: And I’m Rachel Tippegraff. And this is a show that
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Speaker 3: talks about what’s relevant in commerce for the world’s biggest brands.
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Speaker 2: Welcome to Free of Commerce.
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Speaker 3: Sarah, we haven’t spent that much time talking about one
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Speaker 3: of your new ventures, 37 Arc.
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Speaker 2: Oh, am I getting a plug? This is so exciting.
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Speaker 3: You’re getting a plug. I’m giving you a plug.
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Speaker 2: Earn media, baby.
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Speaker 3: So remind everyone what 37 Arc is.
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Speaker 2: 37 Arc is workflow intelligence for marketing. So imagine all
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Speaker 2: of the things that gunk up your ability to get
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Speaker 2: things done as a marketer. You’re probably spending more time
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Speaker 2: on project management than you are on actually being a marketer.
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Speaker 2: You’re waiting for legal to come back to you with
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Speaker 2: rounds and rounds of reviews. The entire flow of how
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Speaker 2: marketing works is just made up of a bunch of
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Speaker 2: invisible workflows that gunk you up. This is AI that
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Speaker 2: helps understand.
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Speaker 4: Where you’re gunked up and helps rewire it so that
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Speaker 4: you’re moving better, faster, cheaper, relative to your competition and
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Speaker 4: driving business results and optimizations much, much, much faster.
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Speaker 2: But in short, we make it easier for marketers to
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Speaker 2: do marketing.
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Speaker 3: So in your first few months of getting this off
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Speaker 3: the ground, you’ve started to do projects with a bunch
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Speaker 3: of big companies. And what observations have you made in
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Speaker 3: terms of where do you think humans should still be
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Speaker 3: working within marketing?
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Speaker 2: Creative, full stop.
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Speaker 1: Anything else?
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Speaker 2: Oh, absolutely. The number one thing that people talk about
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Speaker 2: when they’re like, oh, AI, AI, they’re going to take
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Speaker 2: my creative job or we’re going to AI a file
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Speaker 2: of our creative. And they talk about all of the
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Speaker 2: pilots that they have going on in the creative realm.
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Speaker 2: And I’m just like, man, so the part that like
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Speaker 2: has so much taste associated with it and so much
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Speaker 2: nuance associated with it, that’s the thing you’re going to
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Speaker 2: take away, whereas there are so many kind of root
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Speaker 2: components of the way you do work. And that’s the
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Speaker 2: thing you don’t want to give up. It was just
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Speaker 2: a surprising, it seemed antithetical to me that humans can
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Speaker 2: keep pushing projects along, but AI can fix our dynamic
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Speaker 2: creative problem. And the answer is, I think AI actually
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Speaker 2: can fix the process. But I don’t think we’re at
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Speaker 2: the point, at least not here in the first half
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Speaker 2: of 2026, ready to surrender our creativity to AI.
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Speaker 3: Any other big thing that you think humans should own?
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Speaker 2: I think humans should own strategy. The way you go
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Speaker 2: about your partnerships are so critical. Very rarely are you
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Speaker 2: only buying a piece of tech or tools. So often
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Speaker 2: you’re making choices about who you’re working with and their
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Speaker 2: ability and the trust factor between that. all different elements
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Speaker 2: of like credibility, reliability, self-orientation. I mean, we’re not just
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Speaker 2: buying spots and dots here. We’re trying to figure out
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Speaker 2: how to make the right choices and an algorithm will help.
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Speaker 2: But first you got to understand where you are. You
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Speaker 2: got to look before you leap, you know?
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Speaker 3: Well, the reason why I’m giving Sarah this, moment of
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Speaker 3: publicity for 37 Arc is we’re about to break. We’re both,
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Speaker 3: by the way. Yeah, this is totally unpleasant.
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Speaker 2: When Rachel starts every episode, I have no idea what
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Speaker 2: questions she is going.
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Speaker 1: To ask me.
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Speaker 2: She starts and I am completely caught off guard. I
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Speaker 2: have no idea where she’s going to go with this.
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Speaker 2: And so I got to roll with it. So I
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Speaker 2: appreciate the plug, but I did not ask for it.
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Speaker 3: The intros and outros are completely raw, folks. The reason
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Speaker 3: why I teed it up this way is that we’re
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Speaker 3: about to bring on Brandon Goodman at Unilever, who is
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Speaker 3: playing a major role in their content and media supply chain.
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Speaker 3: And when you listen to him, he pretty much builds
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Speaker 3: a business case as to why humans are still needed
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Speaker 3: in the world of creative. So let’s hear Brandon’s take
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Speaker 3: on all things creative media and AI. Today, we are
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Speaker 3: very excited to have Brandon Goodman, the head of media
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Speaker 3: and marketing capabilities for beauty and wellbeing in the US
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Speaker 3: at Unilever. Hello, Brandon.
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Speaker 1: Hello. Thank you so much for having me.
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Speaker 5: I’m honored.
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Speaker 3: Absolutely. Well, you’re definitely at the center of Unilever’s growth.
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Speaker 3: There’s been so much talk around everything that they’re doing
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Speaker 3: around the beauty and wellbeing space, but also there’s been
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Speaker 3: a tremendous focus at Unilever, I think, for generations on
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Speaker 3: on media as a vehicle to help build brand and
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Speaker 3: drive growth. When we’ve been following Unilever over the past,
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Speaker 3: I would say two, maybe three years, Unilever has been
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Speaker 3: very public about being social first, which might mean different
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Speaker 3: things to different brands. So if you can, one, define
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Speaker 3: what does it mean for Unilever to be social first?
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Speaker 3: And two, why as a company are we giving that
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Speaker 3: phrase so much airtime publicly?
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Speaker 1: Yes, social first is definitely the buzzword of the generation
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Speaker 1: within the walls of Unilever. And I think it’s one
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Speaker 1: that I strongly believe in. It’s not a new phrase.
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Speaker 1: It’s not like we woke up one day and we’re like, hey,
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Speaker 1: what’s this social media thing? Should we be on it?
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Speaker 1: It’s actually an adoption of the recognition of this transition
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Speaker 1: from the follower graph to the interest graph and how
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Speaker 1: that interest graph has influenced what consumers’ expectations are on
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Speaker 1: how brands communicate with them. And what I mean by that,
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Speaker 1: you’ve got this old model, you’d open up social, the
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Speaker 1: content that you’d be exposed to is based off of
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Speaker 1: who you were following, to the new model influenced by TikTok,
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Speaker 1: where you’re subject to the interest graph, right? You are
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Speaker 1: subject to content. that you deem or the model assumes
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Speaker 1: is interesting to you. And that algorithmic shift has drastically
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Speaker 1: changed our marketing philosophy and our media philosophy. And at
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Speaker 1: the center of that marketing philosophy is a recognition on
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Speaker 1: how to feed that new algorithm and how to feed
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Speaker 1: it as content. Ultimately, we want to be interesting. We
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Speaker 1: want that algorithm to make sure that we find the
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Speaker 1: cohorts that find our communications interesting. And that’s ultimately what
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Speaker 1: we mean by social first. It’s appeasing this new algorithmic reality.
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Speaker 1: What it doesn’t mean is a unstrategic lean towards investing
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Speaker 1: in social, disproportionate attention to that channel. This creative reality
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Speaker 1: has shifted the creative norms of all of the other
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Speaker 1: channels across our comms. Think retail media, think display, think video.
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Speaker 1: There’s a lot of creative learnings, that we get from
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Speaker 1: how we activate within this new interest graph reality. And
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Speaker 1: it absolutely is influencing the way that we’re thinking about
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Speaker 1: communicating across all the channels.
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Speaker 2: Or big supporters makes a ton of sense, especially in
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Speaker 2: the spaces that you play. It’s a very different approach
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Speaker 2: to classic. And when I say classic, I am just
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Speaker 2: going to not even try to be nice about it.
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Speaker 2: Old school, CPG marketing, this whole working, non-working. In order
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Speaker 2: for this social thing to work, you actually have to
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Speaker 2: create a whole bunch of dynamic, personalized content at scale.
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Speaker 2: So you go from having these big campaigns with like
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Speaker 2: matching luggage to a very different kind of way of
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Speaker 2: doing that. So in your role in particular, what do
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Speaker 2: you stop doing in order to start making space for that?
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Speaker 2: And how do you think even about how the work
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Speaker 2: flows versus the way it used to?
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Speaker 5: Yes.
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Speaker 1: I think there’s this firm commitment that we need to
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Speaker 1: be less all in on a big creative idea, or
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Speaker 1: at least the creative expression of a big idea. Less
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Speaker 1: of that high risk, high reward, old school model, as
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Speaker 1: you put it, where the idea translates to a big
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Speaker 1: super shoot, a big commitment to some sort of studio
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Speaker 1: shoot where we take a high fidelity creative and distribute
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Speaker 1: it across all the channels and hope that it sticks.
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Speaker 1: to one where we need to commit to higher volume
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Speaker 1: as well as variety of creatives that still express the
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Speaker 1: underlying idea behind the brand’s campaign thinking so that we
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Speaker 1: can find the right expression of it. And I think
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Speaker 1: the underlying idea of your question is like operationally, how
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Speaker 1: do you do this? Because we have been set up
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Speaker 1: in past to work with our agency partners and the
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Speaker 1: studios that we work with to get that really polished
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Speaker 1: creative out the door. And so this idea of content
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Speaker 1: supply chain i.e. the routes that we can tap into
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Speaker 1: to create higher volume and higher variety of creative is
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Speaker 1: an important component, as well as the operational infrastructure, just
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Speaker 1: from a behavioral standpoint of how do you deploy a
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Speaker 1: lot of creative, measure it, ask the basic question on
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Speaker 1: what’s working, why, why not, and be able to be
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Speaker 1: agile in going back to the drawing board and deploy
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Speaker 1: more of that creative. And so I’m pretty proud of
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Speaker 1: Unilever over the last few years as we’ve committed to
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Speaker 1: this idea of social first marketing is We’ve committed to
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Speaker 1: shifting those two things, standing up the appropriate content supply
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Speaker 1: chain to unlock agility for our marketers, but also standing
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Speaker 1: up the marketing practice of having those cycles and the
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Speaker 1: measurement infrastructure to get creative at the door and ask
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Speaker 1: what’s working and what’s not and why. so that we
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Speaker 1: can continuously tap back into that content supply chain to
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Speaker 1: once again appease that algorithmic reality that is hungry for
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Speaker 1: more content volume and content variety.
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Speaker 3: Can you tell us a little bit more about this
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Speaker 3: supply chain? Without giving away the secret sauce, but what
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Speaker 3: is automated? Where are you working with humans?
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Speaker 1: All that jazz. Yeah, it’s a mix, right? I think
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Speaker 1: there’s no perfect balance. route for any piece of creative.
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Speaker 1: It really takes some human thinking around, okay, if this
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Speaker 1: is what’s working and we need to make more of that,
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Speaker 1: which route is the appropriate one? And there are many.
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Speaker 1: There are creator networks that you could tap into for
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Speaker 1: brand say creative. There’s still going back to the studio,
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Speaker 1: which is still an important component of a mass brands
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Speaker 1: content supply chain. There’s working with influencers. And there’s having
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Speaker 1: direct relationships with creatives that might be closer to your
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Speaker 1: day-to-day operations or even in-house. And every single scenario stresses
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Speaker 1: the system to ask which one makes most sense. Automation
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Speaker 1: is a unique word in the world of creative because,
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Speaker 1: you know, I think everyone’s really hungry to understand automation
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Speaker 1: and its role in the content supply chain. What I
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Speaker 1: would say is automation is far more useful in as
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Speaker 1: what I’ve seen so far, and I’m not making this
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Speaker 1: definitive statement that it’s always going to be the case
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Speaker 1: moving forward, but less so useful in content origination and
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Speaker 1: more so around the adaptation and remixing and the help
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Speaker 1: to disperse all of this wonderful creative to the copious
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Speaker 1: amounts of channels that we operate within. People don’t realize it,
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Speaker 1: but even just having one creative asset transforms into hundreds
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Speaker 1: of permutations of that creative being dispersed for, be that
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Speaker 1: the retail media placements or the national or social placements.
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Speaker 1: And that exercise of, fitting a creative unit into all
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Speaker 1: of those different placements is a very demanding one. And
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Speaker 1: there’s awesome ways to automate that process and alleviate some
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Speaker 1: of the resource attention to the wonderful process of just
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Speaker 1: being creative and thinking of that baseline creative that’s working, right?
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Speaker 1: The creative remixing part that automation helps quite a bit within.
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Speaker 1: But then I would say the measurement ecosystem is one
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Speaker 1: that benefits from automation. Measuring creative is this ambiguous space
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Speaker 1: and it’s not perfect yet. But there’s a lot of
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Speaker 1: signals out there that we have that we like to
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Speaker 1: use automation to help us surface quickly. So it might
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Speaker 1: not directly answer why a creative is working or not,
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Speaker 1: but it at least points your eyes in the direction
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Speaker 1: to say something is working over here. Now you can
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Speaker 1: bring the human element into it and discuss what you’re seeing,
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Speaker 1: what you’re observing.
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Speaker 3: So on the measurement front, because I know that definitely
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Speaker 3: falls under your purview and Unilever has spent a lot
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Speaker 3: of time doing some really interesting things, especially in-house. How
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Speaker 3: are you measuring the ROI of the thousands of pieces
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Speaker 3: of content that Unilever is putting out into the world
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Speaker 3: every day? And the same goes for media.
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Speaker 1: Yeah, this is an exciting one. And the measurement of
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Speaker 1: media is definitely one that’s brought up a lot internally.
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Speaker 1: We spend a lot of money on media and the
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Speaker 1: powers that be really want to make sure that it’s
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Speaker 1: worth it from a commercial lens. I’m proud of the
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Speaker 1: infrastructure that Unilever has built up and their commitment to measurement.
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Speaker 1: The saying that we like to lean on is that
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Speaker 1: we want to be the most outcome-driven advertiser in the industry.
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Speaker 1: And a lot of that is not measurement theater. There’s
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Speaker 1: far too many metrics to track within the media space.
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Speaker 1: You can get lost. I find that there’s always a
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Speaker 1: way to tell a great story when it comes to
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Speaker 1: your media deployment. But at the end of the day,
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Speaker 1: the question that you need to answer is whether or
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Speaker 1: not there’s a true commercial impact. And we need to
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Speaker 1: hold our media accountable for business delivery. And we need
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Speaker 1: to use media, the measurement of media, to make better
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Speaker 1: business decisions. An MMM is critical for that. And we
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Speaker 1: rely on it heavily. By nature, an MMM is the
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Speaker 1: correlation of your investments to the actual consumption, right? Consumers
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Speaker 1: purchasing your product at the end of the day because
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Speaker 1: they felt compelled to. And that’s an incremental purchase they
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Speaker 1: felt compelled to because of the exposure to your media.
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Speaker 1: And that’s a really… important part of our measurement ecosystem.
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Speaker 1: But the issue with MMMs is that they’re backwards looking.
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Speaker 1: And part of your question was, how do you measure
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Speaker 1: all these individual units of creative? If you’re familiar with MMMs,
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Speaker 1: the math requires a lot of data to be able
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Speaker 1: to pick up the correlations and the impact of those investments.
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Speaker 1: And oftentimes, you’re not going to hit those sparsity thresholds
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Speaker 1: at an individual asset level. And so MMMs are one
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Speaker 1: piece of that measurement ecosystem. At Unilever, we’ve kind of
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Speaker 1: built up this secret recipe that ends up kind of
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Speaker 1: spanning a spectrum. On the left hand of this spectrum
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Speaker 1: would be the distance in which you’re measuring after you’ve
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Speaker 1: actually deployed some sort of activity system, right? And so
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Speaker 1: on the left hand side, that would be the MMM.
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Speaker 1: And MMMs are evolving at the speed at which you
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Speaker 1: can read it and the depth and granularity. And we
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Speaker 1: look at that in detail. And that is ultimately what
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Speaker 1: helps us drive a lot of those commercial shifts and
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Speaker 1: optimizations that we make. If you move along that spectrum
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Speaker 1: in the middle, that’s where you start to get into
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Speaker 1: a bit more of the ambiguous measurements that sit within
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Speaker 1: the cultural resonance space and the social measurement space. And
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Speaker 1: the specific metrics are a mix of ones that we
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Speaker 1: all talk about quite a bit. But we’ve found that
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Speaker 1: if we focus on them, ultimately they end up paying
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Speaker 1: dividends in the form of better traction that probably will
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Speaker 1: influence what you ultimately read in the MMM. And then
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Speaker 1: all the way on the right-hand side of the spectrum,
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Speaker 1: which would be like today when we’re deploying something today
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Speaker 1: and or this week, there’s a mix of kind of
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Speaker 1: faster signals or correlative metrics that we have found to
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Speaker 1: be the most correlative to our ability to deliver on ROI.
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Speaker 1: And they’re a mix of a bunch of signals that
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Speaker 1: are available to us on a daily basis. You know,
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Speaker 1: think about what we deploy within the retail media environment.
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Speaker 1: And then there’s this wonderful ad tech called MicMac that
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Speaker 1: definitely helps with some of those signals.
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Speaker 3: Folks, I did not pay Brandon to say that. I’m sorry.
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Speaker 4: I’m sorry.
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Speaker 2: I didn’t quite get that. Can you just say that
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Speaker 2: a little louder?
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Speaker 1: I think it’s called MicMac. And that helps us understand
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Speaker 1: how some of those more creative decisions that we’re making
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Speaker 1: on a day-to-day basis are ultimately driving engagement and our
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Speaker 1: ability to tap into that algorithmic reality that I was
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Speaker 1: talking about before, right? And so it’s nebulous in that
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Speaker 1: there’s all of these metrics that you’re kind of looking
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Speaker 1: at across this spectrum. And there’s no perfect science to
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Speaker 1: being able to make a truly informed decision at 100% accuracy.
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Speaker 1: But we have found this nice balance across this measurement
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Speaker 1: ecosystem that ultimately we’re seeing our RYs increase. We’re seeing
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Speaker 1: our ability to tap into cultural buzz more. I might
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Speaker 1: be biased, but I believe it’s because of the way
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Speaker 1: that we’re being scientific about that approach.
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Speaker 2: I appreciate everything that you’re saying. And also, I like
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Speaker 2: a good linear way of looking at things left to right.
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Speaker 2: So thank you. Despite my being bilingual and also reading
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Speaker 2: right to left in Hebrew, but let’s just put that aside.
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Speaker 4: Yeah.
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Speaker 1: Okay, nice.
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Speaker 2: The way you’re talking about it makes a lot of sense.
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Speaker 2: The challenge of MMMs is look backs. I mean, I’m
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Speaker 2: sure you’re preaching to the converted of most of our listenership,
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Speaker 2: and yet we still can’t shake them. But in the beginning,
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Speaker 2: you talked a lot about the dynamic content and the
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Speaker 2: automation that you do for the dynamic content and where
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Speaker 2: automation makes sense, where automation doesn’t make sense, how you
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Speaker 2: go from big campaign to really just dynamically changing for
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Speaker 2: different audiences, for different platforms, for different needs. And then
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Speaker 2: on the other hand, we talked about media and the
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Speaker 2: MMMs associated with media. So when you’re just talking about
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Speaker 2: the organic content, but the automation of the matching of
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Speaker 2: the creative has to also impact the media itself. How
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Speaker 2: do you balance those two that theoretically should be, you know,
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Speaker 2: two great tastes that taste great together, but sometimes could
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Speaker 2: not necessarily meld the right way. Like, how do you
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Speaker 2: think about that in terms of like your sequencing and
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Speaker 2: how you avoid, how you avoid error? I mean, it
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Speaker 2: just seems like there’s a lot going on.
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Speaker 1: There’s a role for organic. There’s a role for paid.
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Speaker 1: And there’s a role for boosting organic, right? So I
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Speaker 1: would take those three distinct approaches. Organic is a wonderful
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Speaker 1: environment to acquire reach. It’s surprising how much reach you
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Speaker 1: can get without putting a dollar behind some creative. And
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Speaker 1: you really need to be culturally relevant in the moment,
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Speaker 1: participating in culture in an authentic way for consumers to,
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Speaker 1: or browsers on these social platforms to really want to
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Speaker 1: engage with your content. We see brands out there actually
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Speaker 1: deploy a really strong commercial profile, even just with leaning
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Speaker 1: into the organic space. And there are times where we’ll
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Speaker 1: see organic content, be that brand say, right? So expressions
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Speaker 1: coming through our brand handle or influencers that, end up
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Speaker 1: delivering such engagement that’s appropriate for us to put the
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Speaker 1: boosting behind. And that becomes this kind of hybrid environment
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Speaker 1: of paid and boosted. And in those moments, we tend
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Speaker 1: to get really efficient returns on what’s boosted because we
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Speaker 1: already have the foresight that this is getting you know,
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Speaker 1: traction and is relevant. And again, I’m speaking just in
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Speaker 1: the context of social, but like, of course, that content
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Speaker 1: can end up carrying over into other channels that we
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Speaker 1: can do that with confidence that it’ll work as well.
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Speaker 1: And then there’s the paid track, right? There’s a different
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Speaker 1: form of messaging. There’s a different objective often in that.
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Speaker 1: And the content ends up being a different expression of
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Speaker 1: what we’re saying. And that is where you see a
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Speaker 1: lot more of that agility of diversifying the messaging until
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Speaker 1: we find the message that sticks. And what we mean
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Speaker 1: by sticks is you’re rewarded very quickly from the platforms
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Speaker 1: in the form of favorable CPMs, right? They know when
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Speaker 1: something is attention grabbing, is interesting, and They reward you
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Speaker 1: and say, hey, thanks for advertising. People aren’t shutting off
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Speaker 1: their phones because of what you’re talking about. And so
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Speaker 1: we want you to be a loyal advertiser and we’ll
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Speaker 1: give you a discount.
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Speaker 3: You’re making the case for great creative that’s human-led with
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Speaker 3: automated variations. Brandon, we have to ask you our famous
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Speaker 3: last question, which is what’s the bravest thing you’ve ever done?
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Speaker 1: Yes, I was thinking about this. I think I’m going
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Speaker 1: to lean personal. The bravest thing I’ve ever done might
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Speaker 1: seem small. It definitely changed my life. And that was
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Speaker 1: taking a shot with my wife. We were in microeconomics
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Speaker 1: class together in university. I only ever saw her during
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Speaker 1: tests or midterms. She seems to skip all other classes.
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Speaker 1: And so when I saw her at the final, I
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Speaker 1: knew this moment was an important one. And I was
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Speaker 1: quite nervous, but I stepped up. I said something and
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Speaker 1: that small moment definitely led to a wonderful partnership, one
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Speaker 1: that is supporting and loving. We have two beautiful young
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Speaker 1: daughters now. And I got to say the ROI on
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Speaker 1: that brave moment for me was a big one. I
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Speaker 1: love that.
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Speaker 3: You know, most people go to finals worrying about the test,
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Speaker 3: but you were worrying about the girl.
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Speaker 1: I was. I was. And I’m grateful for it. I
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Speaker 1: didn’t do too well in the class, but whatever.
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Speaker 3: Well, Brandon, we appreciate all your insights. This world that
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Speaker 3: you’re playing in is changing at light speed and we
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Speaker 3: will be watching to learn from you.
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Speaker 1: Thank you so much for the time. Appreciate it.
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Speaker 3: If you like what you heard and you want to
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Speaker 3: keep listening about Unilever, we certainly have had various Unilever
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Speaker 3: guests over the years. But go check out an episode
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Speaker 3: we did in 2024 with Ryu, the chief digital officer
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Speaker 3: at Unilever North America. And if you like what you heard,
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00:22:14,280 –> 00:22:16,040
Speaker 3: write a review. Thanks for listening.
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Speaker 5: Hi, I’m Jackie Cooper, Global Chief Brand Officer at Edelman
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Speaker 5: and the host of Touch of Truth, a new podcast
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00:22:38,990 –> 00:22:42,429
Speaker 5: launching on the Adweek Podcast Network. My dad gave me
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Speaker 5: this incredibly smart piece of advice. Meet everyone once. As
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Speaker 5: a result, I’ve met some of the most fascinating and
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00:22:48,580 –> 00:22:51,689
Speaker 5: inspiring people on the planet. Now on Touch of Truth,
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Speaker 5: we’re coming centre stage and sharing the mic to experience
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Speaker 5: stories of truth, insights and visions for the future that
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Speaker 5: will challenge your way of thinking. Touch of Truth is
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Speaker 5: available wherever you listen to podcasts. New episodes come out
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Speaker 5: every Tuesday. I do hope to see you there.