Sheldon Poon, Founder of Drive Marketing, helps established brands go from Wholesale to D2C through performance-driven advertising grounded in data, technology, and human expertise. He is driven to build a company that reflects his values—one where people enjoy their work, have flexibility and autonomy, and continuously learn from and teach one another.

In this conversation, Sheldon introduces The A.I.D.A. Framework—Attention, Interest, Desire, and Action. He explains how businesses can eliminate friction across the customer journey, use clean data to improve AI-powered campaigns, and balance automation with human strategy. Sheldon also discusses why genuine relationships are driving B2B growth, how AI is reshaping internships and early-career development, and how Drive Marketing helps successful wholesale brands build direct customer relationships without jeopardizing their valuable retail partnerships

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Go from Wholesale to D2C with Sheldon Poon

Good day, listeners. Today, I have Sheldon Poon as our guest. He’s the Founder of Drive Marketing, a Montreal-based paid ad agency specializing in performance-driven marketing with a heavy emphasis on using data to make informed strategic decisions. Founded in 2013, Drive Marketing positions themselves as a technical-first partner that bridges the gap between business goals and technical execution. So they’re not a creative agency. They are a technical agency improving your ads. Sheldon, welcome to the show.

Yeah, thanks for having me, Steve. I’m happy to be here.

Yeah. Great to have you here. And my first question is, what is your personal why, and how are you manifesting it in the business? How are you contributing to human flourishing?

That’s a very big question for a small ad agency.

It is.

Yeah. So when I first started the company, I kind of, like a lot of entrepreneurs, right, it came from me kind of looking at my life and where I was in my career and kind of getting frustrated at what I was seeing with my day-to-day job. So I was in a very, very privileged position. I was able to take a bit of a sabbatical from my day job where they held my position, which was great, because if everything went downhill, I could always just jump back to my job.

And I was like, “You know what? Like, I have an opportunity here. I’ve always wanted to start a business.” But because I had been working for somebody else for almost, at that point, I think like a decade and a half, I had a lot of experience, and I saw a lot of things that I was like, “This is what I don’t want.”

So when I started my company, my internal mission and vision was to build the company that I would want to work at, to build the company that is kind of true to myself and my values, and something that I would enjoy going into day to day.
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And then what does all that mean? So the company that I wanted to work at, as I started working and hiring people, what I found was I wanted to have flexibility in my schedule. We treat everybody on the team as an adult. Everybody’s responsible for their workload. And as long as they meet their deadlines, I don’t care when you’re clocking in, clocking out. I’m a night owl. I like working till like midnight, 1:00 a.m. I don’t like doing mornings, so I’m often coming into the office late.

A lot of my team are doing the same thing. Some of them are early risers, and they like to leave early to have their afternoon free. So as long as everybody’s more or less—everybody’s on top of their tasks and more or less working during the day so that we can have our interactions and meetings, that’s perfectly fine.

Another thing I think that's core to what I wanted to build was that I've always been very passionate about learning and teaching. In another life, I was teaching high school.
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And when I started building the company, one of the things that we made very clear when we’re hiring is that everybody on the team learns because they’re passionate about what we’re doing. And everybody on the team teaches. Even if you’re just an intern coming in, we need to know your perspective because you’ll have a different perspective than me, who’s been doing this for like two decades, where I’m kind of blind to maybe some of the newer stuff that’s happening or some of the stuff that’s like on the ground.

And I want to know when I talk to our interns, when I talk to our juniors, like, “Hey, guys, what are you seeing?” Like, you guys are—you guys are like 20 years younger than me in some cases. Like, I want to know what’s going on with the kids. My personal, like, kind of like personal why of this is that it’s not so much about the end goal. I want to make sure that I enjoy my day-to-day, I enjoy what we do, and I’m not going to pull my hair out going into the office. So, like, I think we built something where everybody on the team is excited to work on stuff because they’re doing the work that they would want to be working on.

They’re learning the stuff that they would want to be learning, and then they get to implement it in a way that is impactful for the company, for the client, for what we’re doing. And my challenge as a leader is to figure out, okay, how do we take that exciting stuff and make it so that it generates money for the company so that we can all continue doing this?

Yeah, this is very inspirational. I love it. You’re tapping into people’s curiosity, desire. I like the learning organization idea as well. So do you have a framework for this? Because this podcast is all about frameworks.

Yes.

How can someone create something like that? What are the steps to create it?

So it’s not one framework. Like I said, I’m very passionate about a lot of different topics, and one of the things that’s a personal interest of mine is just business. So, like, looking at business case studies, and from that you start seeing what works and what doesn’t. It’s a lot of different frameworks kind of layered on top of each other for various reasons.

For the practical ad side, what we do for our clients strategically, there's a framework there that we like to use called AIDA. So attention, interest, desire, action.
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Very standard funnel. The idea is that the reason we like using this is because when you break down the customer journey, this process is just logical. It’s been proven time and time again. If you’re going into Marketing or Business 101, this is one of the first things that you’re going to learn about. Like, what is a funnel? A funnel is, you know, the client’s never heard of you before, and you do something to grab their attention.

Now they’ve heard of you, but that’s not enough. You have to have many touch points, and you have to build interest. So, like, once they’ve heard about you, you got to make sure that it’s a good fit and they’re interested in the pain point or the thing that you’re fixing for them in their lives. And then if you hit them up with that interest message often enough, they’ll start imagining how their life is better with your product or service, and that creates desire. And then once you continue hitting them up at desire, as long as you don’t have any friction between the desire piece and the final call to action, then you’ll get that action at the bottom.

And the thing that people talk about, like, there’s a lot of people that talk about this framework, but I don’t think they’ve studied it properly. Because when you actually look at the history of it, this framework was first introduced in 1898 in a magazine that was talking about ads. This framework arguably predates the term marketing. And when you think about how that framework looks in modern day, it’s changed a lot, right?

When you were running ads in the early 1900s, you could get away with saying whatever the heck you wanted and making whatever wild promises just to get people’s attention. The way that you did it was you maybe had, like, some sort of print or some sort of, like, literally talking to people, getting them to show up to a convention or an expo back in the day, and having those interactions with their audience.

Fast-forward over 100 years, and it looks very different how you grab attention today. Paid ads. People talk about SEO. People talk about viral content. It’s very much changed. What hasn’t changed is the framework. So what that tells us is that human behavior, right? So the framework is based on human psychology: attention, interest, desire. These are all things that are, like, within the human experience. That has not changed. What’s changed is the other end. The technology has changed, so how you implement that.

So the strategy is still the AIDA that we use, right? But our tactics are constantly changing. Now we’re looking at AI. The new thing about ads is that Google just announced that they’ve added an extra option next to PMax, which is the AI option, so that you can actually start showing up in Gemini. So now this has changed our tactics.

But our strategy is still based on this human psychology. That's the framework over on kind of the front end.
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And then, like I said, we have a bunch of other frameworks. I don’t know how much you want me to get into it, but for hiring, for internal processes, for all sorts of things.

Yeah. No, no, no. I love it. I love the AIDA. It’s been a long time I heard about it, and I love the simplicity of it, and I think it still works. So you mentioned something that really interests me. You said that you grab the attention, interest, building the desire, and as long as there’s no friction in the desire, then you’re going to get—the call to action is going to work. So what do you mean friction, and give me some examples of what it could look like.

So when you’re talking about AIDA and you’re talking about funnels, especially when you’re talking about online, it’s all very, very quick, right? So there’s a couple of terms here. So when you’re at top of funnel, your main thing is—it’s called a funnel because at the top it’s very, very wide in terms of the audience you want to hit up, and you want to try to get out to as many people as possible. So a lot of people, when they’re thinking of marketing, they’re thinking of the top of funnel, whether they realize it or not.

Further down is you’re trying to get a more complex message across. So the practical way to think about it is at the top you’re trying to run ads that’s just very flashy and getting people to stop the scroll. So if they’re on Instagram or something, you literally want them to stop, and you want them to read a quick thing that gets them to click. Once they’ve clicked on it, they’re ending up on a landing page, and that landing page has information that hopefully connects to the audience in a meaningful way, and they’re interested in reading more.

An example of friction would be if you click on an ad that’s purple, and then you end up on a landing page that’s black and white or red. That difference in color, that difference in style creates a friction point that psychologically, it makes the person pause and go, “Wait, did I just end up on the wrong page?” So when you have, like, a very close alignment between each of those levels, it reduces the friction and increases the chances that people will go down.

So the most important friction point that people need to be aware of is, like I just talked about the top of funnel, the opposite end, the bottom of funnel, is where there's the highest intent.
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So you can imagine at the top of funnel, because people have never heard of you before, their intention to buy from you is probably very low or very limited because they don’t know you yet. But once you’ve done all that work to get to know them and create a relationship with the brand, you’re at the bottom of funnel, and that point is critical.

You need to make sure that by the time you’ve warmed them up and everything’s ready to go and the target person is very interested in taking that final step, that somebody else doesn’t come and grab them. For example, like, the very real-world example. If you think about some of the biggest marketing companies in the world, so let’s take McDonald’s and Burger King as examples, right? Because everybody knows those brands. If McDonald’s has taken so much effort to be on billboards and be in front of you, and you’ve seen the brand and you know it, and you’re walking down the street and you’re hungry, and then at that moment of intent, as you’re walking around downtown, you’re like, “I could go for a quick burger right now,” and you know that you’re looking for a McDonald’s, but as you’re walking, you come across a Burger King, you’re like, “Yeah, that’s close enough.”

And then you’re going to walk into the Burger King and do the transaction there. Online, what that looks like is when somebody is doing that final search. So let’s say Summit OS is selling T-shirts, and you’ve done a bunch of work and people love the brand and they’re looking for a specific type of T-shirt that you sell, but they can’t remember quite exactly what it is. They’re like, “Oh, I think it was Summit OS something T-shirt.” And then when they type that in, somebody else’s sponsored ad comes up.

Well, now they probably grabbed that traffic that you took all that time to warm up. If you end up on the landing page, when you scroll down to the bottom, okay, I want to buy this T-shirt. I’m happy with everything that I’ve seen, but now you’re asking for an email, you’re asking for, like, a bunch of things. You click on a button, it doesn’t work. Those are extra friction points that prevent a person from taking action. When you’re looking at the entire funnel, you got to make sure that from a technical standpoint, from a user experience standpoint, from a getting-in-front-of-them-in-the-right-moment standpoint, everything hits, especially in this digital economy where everything’s very, very fast.

So anything that goes wrong, anything that creates a question, anything that creates a frustration point or any opportunity for somebody else to come in and grab that traffic at that moment of intent, those are friction points that you want to address and you want to track and you want to find. And you can imagine how there’s a lot of complexity in that. There’s a lot of testing, there’s a lot of work to make sure that that doesn’t happen.

That’s fascinating. Do you have a process for how you do this, how to eliminate frictions?

Yeah. We have a team that does QA and walks through the entire thing and has to do constant testing because what we’ve seen is a lot of other agencies are using AI tools and shortcuts. And lo and behold, a lot of these tools don’t work and they give back false positives, false negatives, and it’s not as good as just taking the time to go through the funnel yourself and make sure everything’s working properly. And it sucks because it’s a lot of work, but that’s how you get the best results, is just by having someone double-check it.

And it’s not to say that we don’t use automation. Like, we use a ton of automation, we use a lot of tools. But the final QA is a lot of the time us and the client going through, like, “Okay, everybody, before we hit go, let’s just all go through this before we spend, like, you know, 10K on this and just make sure that everything’s working properly.”

Yeah. Love it. Love it. So you’re building this ad agency, a technical agency, so you focus on making the flawless experience. What drives growth in your business?

That’s a good question. That’s something that, honestly, we’re struggling with a little bit. So if anybody’s following me on social media, I’ve been doing a short series. I’m probably going to finish it off soon, but it’s called Watch Sheldon Struggle to Grow His Agency. And it’s literally how I’ve been trying to figure out how to crack lead generation for ourselves and our journey through, like, where we were maybe about a year ago to where we are today.

And we’re still trying to answer that question for ourselves in terms of, how do we get more leads and more clients in a very difficult economy, in a very difficult time? And we’re trying to figure that out. And people can look up our case studies. I think we’re quite proud of the work that we’ve been able to do, and having that technical know-how has given us a huge advantage in terms of performance numbers. And that alone, in the past, through my network, was enough to keep us busy because people would just seek me out whenever they had a problem with their technical stack or their ads.

I’d say in the last maybe 18 months or so, like a lot of other agencies, the word-of-mouth stuff has kind of dried up, where people are kind of, like, holding back their spend. We’ve had a bunch of contracts that were put on hold because of the economic situation around the world. Nobody knows what’s going on. Everybody wants to hold back spend. Everybody wants to sit and wait. So even though people are still contacting me, the flow of projects has slowed down because people are more hesitant to pull the trigger and go. It’s also taking longer for us to have these conversations. Because that organic piece kind of slowed down, we’ve been trying to find inorganic pieces.

I’ve been doing more networking. I’ve been trying to figure out building out our own funnel, which we should’ve done years ago. The thing that’s driving growth for us right now is probably the things that are not scalable, right? In the age of AI, when you’re working with a business, you want to be working with a person. Like, nobody wants a partner who’s just a machine. So doing the things that are not scalable means really doing the things that are human, having human interactions, having human conversations, going out for coffee with people, meeting people at conventions and workshops and, you know, like, literally just getting our name out there in a way that is more human and just having real conversations.

And despite all the other testing that we’ve done with the cold emails, with the ads, with this, that, and the other thing, like, that seems to be the thing that’s working the most, is just kind of putting my name out there and saying to people, like, “Hey, if you have a problem, come talk to me. We’re not necessarily going to have a contract together, but hopefully we can have a quick coffee and I can at least get you past a technical hurdle.

I can give you some insight into what you’re struggling with and give you a hand.” And that kind of goodwill has led to more conversations and more contracts and new contracts than anything else that we’ve done. For our clients, because our clients are more direct-to-consumer, so they’re usually bigger brands that are selling a quick product, quick service to the general public. They’re not B2B, they’re B2C. On that front, it’s literally what we just talked about, following the AIDA playbook, making sure the funnel’s good, making sure the ads are firing, making sure the data’s there, and then that’s how we get our crazy numbers, like 12X return on ad spend, you know, 14X return on ad spend.

That’s just following the system and doing the work. So for our clients, we have it under control for their growth. For our own growth, for the B2B side, that’s where I’m realizing that, like, we need to step away from all this AI noise, and people are trying to do these AI BDRs and all these things, and it just doesn’t work because people want to have a real human conversation.

Yeah. No, I totally see the same thing. The easier the automation, the more it just becomes noise.

Exactly. It’s democratized automation, which means that, like, it’s no longer the thing that stands out. You have to do something different.

Yeah. And people are becoming resistant, and they recognize if something is AI-created, and they just tune it out, right?

Yeah, exactly. Exactly.

Yeah. It’s fascinating. How much of your time is actually spent on networking and doing the human things as opposed to running your business?

I’m very fortunate that my team mostly runs the day-to-day at this point, so I’m spending most of my time doing all the other stuff. So, like, trying to do the networking, trying to get our name out there, and then everything else is just admin and paperwork. So in terms of actually running the day-to-day of the company, our head of operations, Brent, does a fantastic job of running the team.

Jack, our head of marketing strategy, does an amazing job of making sure the ads are firing properly. Whenever I get involved in the day-to-day, they get annoyed at me because I’m like, I’m coming in, I don’t know what’s going on, and my hair’s on fire. I’m trying to do X, Y, Z, and then I jump out and I just create chaos. So most of the time they’re telling me, like, “Yeah, listen, go out and talk to people. We don’t want you at the office. We don’t want you doing the work.”

So how fast is your product evolving?

Oh, constantly. I mean, the way that I explain it to people, right? A lot of people right now, especially running ads, right? Because that’s our core product, that’s our core service, is running ads and making sure that we maintain that competitive advantage for our clients. Because of the advent of AI, everything’s constantly changing. Already it was a very technical space because a lot of people seem to think that whether or not your ads do well, they think it’s a creative exercise, and I think it was up until about eight months ago.

But today, I would argue that it’s skewed, and it’s more of a technical exercise. Because these ad platforms are running AI algorithms, the quality of the data that you feed into it now is more important than ever. And like I said, there’s been a lot of changes in the last few months to the point where now it’s no longer about how good your content is. It’s about how good your targeting is, how good the data you’re feeding it is, how good your audience is kind of reacting to it, and then making intelligent tweaks to your content based on the feedback that you’re getting back from the AI.

So these are things that are constantly evolving. Like I said, even though the strategy doesn’t change, the tactics and the technology is a constant change. So the AI thing that I was talking about where Google just released or just opened up the option to do advertising with AI responses, that’s less than, I think, three months old. So that’s the new thing that we’re now testing with our clients to see how is this working, how is this working.

The other thing too is that the way I describe it, a lot of people now—the new thing that we just noticed within the last few months—is that people are saying, like, “Oh, I can just use an AI agent to set up my ads.” But these AI agents are based on large language models, right, the LLMs. And the way that large language models work is that they’re trying to give you a statistically accurate response, which is great for certain things, not so great for other things. So the way I tell people is that if you were to take an LLM, again, which is what most of these agents are based on, you were to graph all the possible responses for accuracy, what you would end up with is a bell curve, right?

And on the bell curve, you have on one end, you have these are all the answers that are definitely wrong. And on the other hand, these are also answers that are, like, they’re novel, but we don’t know how accurate they are. And then in the middle, at the top of the bell curve, right in the middle is the statistical most accurate response that it thinks it can give you. So it’s always going for that statistical middle with these LLMs. So when it’s setting up ads and it’s doing strategy, it’s going for what is most likely the safe result, right?

The least interesting.

It’s the least interesting.

Yeah.

Now, when you’re running ads, right, it’s a race. My background is in software and computer science, so when I’m doing coding and I’m using Claude Code, I want statistical middle. I don’t want it trying new things with my code. I don’t want it to be a bad programmer like a junior, but I don’t want it to be doing stuff that’s so advanced and novel that it’s not tested, it’s going to break. I just want the middle, right?

Engineering middle. But when we’re running ads, it’s a race. And if you’re in the middle of the pack in a race, you’ve lost. So one of our big advantages is that we’re using a lot of AI for automation. We’re using a lot of automation tools to do our day-to-day. But when we’re coming up with a strategy and building out the ads, it’s a human that’s doing that because we want to be at this far end that’s going to be ahead of everybody else. We don’t want to be middle of the pack.

So from that sense, it’s constantly changing to keep on top of these things to figure out what’s new, what’s going on. The ad platforms are changing constantly because, you know, the way that we interact with the internet is changing constantly. So, like, yeah, it’s constant, it’s a constant race.

So, but doesn’t that also bring you back to the creative part?

It does.

How to be creative, maybe not design-wise, but some other way?

It does, but in a way that I think a lot of creative agencies don’t understand. Because a creative agency will focus on the story, and they will focus on, you know, telling a good story, and they are thinking, if I can put it this way, they’re thinking very linearly. So one of the big mistakes that we see, like I talk to a lot of other agency owners, and every once in a while I help consult on the side, just to give them some advice in what they’re doing, what’s working and what’s not.

And one of the things that I see a lot is that a lot of these agencies have not understood how the new PMax campaigns and how the new Advantage+ campaigns work, so they’re working against the AI algorithm. So a lot of these other agencies, they’re more content than they are technical. So what they’re doing is they’re trying to tell a good story from the content, and then what they’re trying to do is they’re trying to find the demographic that they think will match with the content. So they’re content first, right?

So what they’re trying to do is, if they’re putting together a story for a product, they then in their heads think, “Okay. Well, I think I need to go for, you know, women living in suburbs that are between this age and this age and this income range and are interested in XYZ thing, and that’s how I’m going to set up the system, and then they’re going to see my ad, and then there should be a connection there.” That’s not how it works anymore. So in that setup, I can see how it’s super important to understand the story and get all that done.

The modern way that we’re doing things that’s different is that when we’re building out our content, we work with the content agency or we work with the marketing team to say, “What is your interest piece that’s going to get people to stop scrolling? What’s the interest piece that’s going to get people to want to read more? How do we build that desire for them? And then give me those in different assets, different pictures, different videos, different texts, different descriptions, different headers.”

What we then do is we take all of that content, and we put it into an asset library on PMax. So what we do is instead of telling PMax to look for XYZ demographic, we don’t tell it to do any of that. We let it go broad, and it does the opposite. What it does is, and of course, this is after the caveat. We’ve already set up the landing pages. We’re collecting all the data. We’ve tested all that. The data modeling is solid, so the entire funnel, all the micro actions, everything, we know that is being fed cleanly into the system, because that’s important. What the system’s then going to do is it’s going to, like, not just A/B test, but it’s going to take every combination that it can think of with all the different assets, with the videos, the text, the this and that and the other thing, and it’s going to start testing all the different combinations quickly.

And mixed in there is all the interest, attention, desire, everything. The algorithm is then going to figure out, based on all the data points that it has on us, it has, like, 57,000 data points, I think, Meta has on us. When a user has this pattern of data, they seem to resonate with this combination of assets. This pattern resonates with this combination. So bit by bit, what it does is it will start creating audiences for you that resonate with different kind of, like, asset packages. And then lo and behold, what we see is that emergent is the attention content all gets grouped together, and now we have an audience that’s ready for attention.

The interest piece, this is all the content that we had flagged for interest. Here’s our interest audience. And then the AI is basically working to figure out for you, not based on anything other than random data points and patterns, what is the audience for you? And then it’ll be able to then say, “Okay, now that we have a pattern to look for, we have, like, another 100,000 people that match this pattern and we can start advertising to them.

And that’s the proper way to do it. But the thing that people are uncomfortable with is that it’s a black box. We don’t know what their demographic is. We don’t know where they live on the internet. We don’t know what their interests are. We don’t know any of that. It’s just random data points and math that has created this audience for us. And if you were to extract those people and put two or three of them next to each other, you’d go, like, “I don’t understand why these people have anything in common.”

But somewhere in the data, the data is signaling that they are going to resonate with your content. So this is what I mean. Like, the content is still important, but I think it’s skewed, like, a little bit. I’d say, like, now it’s, like, 60% data and math and 40% content, whereas before, it was much more heavy on the content side.

Very interesting. And this is how your platforms will find the lookalike audience based on your sample audience?

Exactly. Exactly.

Yeah. That’s fascinating. So other than the lead generation, what’s one thing that you’re actively trying to figure out in your business?

Other than that, we’re just having a lot of fun with all these new AI tools. I’m getting a few members of my team working with Claude. A few of us are working with ChatGPT. We’re trying to see, like, what these platforms can do, what are the things it can automate. I think one of the really cool things is now something that used to take, like, weeks to create code around, it can be done in an afternoon.

So it’s like, as soon as we identify a business problem, something that my team has to do, like, you know, three or four times a week that slows us down, now I can tell my devs, like, “Hey, guys, like, this is a business problem that we have. Can you guys just come up with a quick tool to do?” And we can build it, and we can just have it. So we’re trying to experiment more and more with how we can kind of speed up our development process.

And because we’ve been developing for so long, there’s a few things that are kind of like the—a few of the standard ways to run a development team that are now starting to be questioned because these LLMs are getting better and better at taking over some of these mundane tasks, that we’re starting to revisit what is our QA strategy when we’re actually coding. Like, what’s a more important skill set? One of the things I think that we’re trying to navigate right now is what is our hiring process for interns going forward?

So in the past, when we were looking for juniors and interns, the skills that we were looking for was like, what is your ability to figure out the answer to this question, right? Given a complex question, given a complex task, how are you going to be able to figure out how to solve this? Because of the rise of LLMs, finding the answer is no longer as important as asking the smart question. And the challenge that we’re facing right now is that asking a smart question requires critical thinking. A lot of critical thinking requires experience. The best critical thinkers have decades of experience behind them. How do you get that from an 18-year-old who’s coming from school?

They literally have no experience. That’s why they’re coming to us as interns. So we’re trying to figure out, like, okay, how do we square that? And we’re very proud of the internship work that we do. It’s a way for us to give back to the community. We work with a lot of the colleges and universities in town. Like I said, I myself came from having taught high school, and I’m very passionate about education, so I want to do good by that industry, by those students.

But we’re having a bit of a hard time because we don’t want to necessarily disadvantage them, but we’re also trying to figure out how do you find a good critical thinker among kids with no experience. So that’s probably the thing that we’re trying to figure out right now.

Yeah. That is fascinating. And that is a big issue for young people coming up, how to get those internships. Internships are harder to get, and probably this is the main reason for it, because people use technology to replace the inexperienced people.

The bar has definitely gone much higher. And again, we’ve experienced this as well, where, like, we’ll have a task, and we can ask an intern to do it, and they’ll kind of, you know, grudgingly figure it out and do it. But if it’s a critical task that needs to be done, that same exact task can be handed off to an LLM, and it’ll just get it done. Yeah. It won’t be amazing quality the way that, you know, a senior developer will do it, but it’ll be good enough, and it’ll be probably better than what the intern can do.

So if you’re only looking at the task from a purely productive lens, well, I’ll get a better result from the LLM, so then the intern has no purpose. We’re having to reshape the way we think about this, where if we are truly building an internship program, at that point, it’s not about the productivity, it’s about the learning that the intern gets out of it. So it becomes a teaching thing. So we have to be okay with handing off this task to the intern, knowing that an LLM could probably do a better job.

But they need to learn how to do it first so that they can rise above it. And I think what we’re seeing right now is that companies are not mandated to teach. They don’t care about the learning of the intern. They care about the production of the thing. And in the past, it was cheaper to get the intern to do it because there was no other option. But I think companies are realizing, like, well, we can just have the LLM do it, and it’ll be better and faster. Why do we need the interns? And that’s why these opening early positions are not being handed out anymore. The problem with that is that you don’t get senior-level people without training them up as juniors, and we’re giving all of that learning opportunity to machines.

Yeah.

So what does our future look like with that gap? What does the future look like for these kids coming out of school? Like, these are all obviously much bigger questions than my company can ever answer. This is a bigger societal question, but this is what we’re seeing kind of on the front lines, having a very strong internship program. We’re struggling with this idea, like, where is this next generation coming from?

That’s scary. That’s very scary. So who are the ideal clients that, if they listen to this podcast, you want them to contact you?

Yeah. So basically, our biggest successes are with brands that are very strong on the wholesale side and are already in retail stores. So a lot of times what happens is you have a company that does an amazing product. They’re already in Walmart, they’re already in Costco, they’re already at Winners, and they have built up a very successful wholesale B2B business. They then launch a Shopify store, and they want to start getting the brands and start building a relationship directly with their consumers.

And then they’re realizing, like, “Oh, this is a different game, and we’re struggling.” And then at that point, it’s easy for us to come in and help because they have a strong offering already. They have a wholesale side that can drive their growth. And our job is to make sure that we start help building out that direct-to-consumer side by making sure that all of the data is mapped out properly. We like working with companies like that because they already have a very good idea of their marketing, why their product is successful.

They know which products are successful and not, so we can skip a lot of the learning part, and we’re just putting a megaphone on their existing brand and their existing offering in the most efficient way possible to make sure that, you know, right away out of the gate, that their D2C business is going to be just as strong as their wholesale business.

Yeah. Oh, that’s fascinating. So essentially, you pick those companies that have a good product already because it’s tested in wholesale channels and the Costcos and Walmarts and the Amazons of the world, and you help them tap directly the consumers through very targeted advertising.

Exactly, exactly. And then once we have that basic foundation set up, then we start doing interesting things like, how do we get the newsletters out? How do we help them get their marketing team to have more of a direct relationship with their end customer? Because when you go to a Costco or you go to a Walmart and you pick up a product, what happens is that the retailer holds the relationship, right?

It’s a way to help them offset that. And it’s kind of a tightrope that we have to walk because we recognize that the relationship with the wholesaler is still key. So whatever we do, we have to be conscious that we’re not going to upset that balance.

Yeah.

And that everybody’s winning, everybody’s making money, everybody’s growing, nobody’s getting upset with one side or the other. So because we’ve had experience working with national brands, we are positioned to understand what that relationship looks like. We know from our client side what it’s like when they’re talking to the Costco rep, what it’s like when they’re talking to the Walmart rep, what those subtle differences are in culture, and what we need to be aware of because, you know, we want to make sure that nothing that we do on our side jeopardizes that relationship.

Yeah. And then the big companies—what they want is they want to commoditize you, and they want to control the relationship, the brand. They want their white-label brand on top of your product. Yeah.

Which is their right. I mean, they’re the retailers. They’re the big guys.

Yeah. If you don’t build your own brand, then you’re going to slip into the white label because you have no leverage over the big, big stores. But if you have a strong brand, you have leverage, and then the whole relationship works better. So it’s very interesting. Okay.

So if people would like to learn about how they can do that, how they can go from wholesale to D2C, and would like to learn about how you can help them, where should they go and how can they contact you?

Yeah, so there’s a lot of information on our website, so drivemarketing.ca, so the Canadian extension. Yeah. And then I think I’m the only Sheldon Poon that’s really active on LinkedIn. I think there’s one other one that’s maybe in Hong Kong somewhere, but that’s not me. He’s, I think, an older guy. So if people look me up on LinkedIn under Sheldon Poon and just message me, I’m pretty active there and I try to answer everybody.

And what I love is helping people out. Even if people have no intention of hiring us, I’m like, “That’s totally fine.” Send me your questions because I like to be able to help and answer and know what people are struggling with because it helps our work. It just gives me an opportunity to have conversations with people.

Awesome. So if you run a brand that has already cracked the wholesale channels, but you want to build your direct-to-consumer, you know, hit up Sheldon on LinkedIn, Sheldon Poon, and have a chat with him. As you can see, he’s a great person to chat with. And if you enjoyed this show, then stay tuned because every week we have a couple of entrepreneurs who are building great companies who come and share their frameworks with you. So Sheldon, thanks for coming and sharing your wisdom, and thanks for listening.

Yeah. Thank you. This was great. It was my pleasure. Thank you so much for having me on.

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Go from Wholesale to D2C with Sheldon Poon

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355: Go from Wholesale to D2C with Sheldon Poon

Management Blueprint | Steve Preda

355: Go from Wholesale to D2C with Sheldon Poon