What if the biggest threat to your brand’s integrity isn’t a competitor, but the sheer volume of unmanaged, ungoverned, and untraceable content your own teams are creating every single day?
Agility requires more than just speed; it demands a solid foundation of control and intelligence. It’s the ability to create, adapt, and deploy content at the pace of the market without sacrificing governance, consistency, or compliance.
Today, we’re going to talk about the content paradox facing modern enterprises. While the demand for personalized, omnichannel experiences is causing content creation to accelerate at an unprecedented rate, the systems to manage, govern, and measure its impact often can’t keep up. We’ll explore how to turn this content chaos into a competitive advantage, the role of AI not just as a creation tool but as a workflow agent, and why the future of marketing will be measured in outcomes, not output.
To help me discuss this topic, I’d like to welcome, Luke Roberts, Global Director, Digital Strategies & Growth at Bynder.
About Luke Roberts
Luke Roberts serves as Global Director of Digital Strategies and Growth at Bynder, a global leader in AI-powered enterprise DAM. With nearly two decades of experience across local, regional, and global roles at Mazda Corporation, he brings first-hand experience in complex content ecosystems and digital transformation. Today, Luke helps brands overcome content complexity and deliver exceptional content experiences at scale with strategically deployed AI-powered DAM.
Luke Roberts on LinkedIn: https://www.linkedin.com/in/luke-roberts-5ba3941a
Resources
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Transcript
[00:48:47] Greg Kihlstrom: What if the biggest threat to your brand’s integrity isn’t a competitor, but the sheer volume of unmanaged, ungoverned, and untraceable content your own teams are creating every single day? Agility requires more than just speed, it demands a solid foundation of control and intelligence. It’s the ability to create, adapt, and deploy content at the pace of the market without sacrificing governance, consistency, or compliance. Today we’re going to talk about the content paradox facing modern enterprises. While the demand for personalized omnichannel experiences is causing content creation to accelerate at an unprecedented rate, the systems to manage, govern, and measure its impact often can’t keep up. We’re going to explore how to turn this content chaos into a competitive advantage. The role of AI not just as a creation tool, but as a workflow agent, and why the future of marketing will be measured in outcomes, not output. To help me discuss this topic, I’d like to welcome Luke Roberts, Global Director, Digital Strategies and Growth at Binder. Luke, welcome to the show.
[01:51:63] Luke Roberts: Thank you for having me today.
[01:53:23] Greg Kihlstrom: Yeah, looking forward to talking about this with you. Definitely a top of many people’s minds, so looking forward to diving in, but before we do, why don’t you give a little background on yourself and your role at Binder?
[02:03:00] Luke Roberts: Yeah. Well, I wanted to say I’m first very excited to be here. I love the insight that you bring to this podcast and, and today’s topic is really something I’m passionate about, uh, and it’s honestly the main reason I joined Binder, uh, just over nine months ago. Before that, I spent nearly 18 years at Mazda Corporation across local, regional, and global roles and most recently focusing on global content and digital transformation. And that’s where the experience I bring to, to my role at Binder today. And I’m quite lucky, you know, I, I get to work with some of the biggest brands and the brightest minds on and how we think about and strategically deploy Binder across their content supply chain. And it’s a great topic today, uh, super, super excited to get into it.
[02:46:75] Greg Kihlstrom: Yeah, well let’s, let’s dive in then. And I want to start at the the strategic level and, and really just talking about what I teed up in the intro, which is content and content creation and, and management as a competitive advantage. So, you know, many people have thought of digital asset management as a, uh, you know, sophisticated library or a digital filing cabinet, so to speak. Your Binder’s data suggests that in a digital first economy, a strategic digital asset manager or or DAM is now a core competitive advantage. So, you know, why, why is this perception shifted so dramatically and, and what’s the real business risk for brands that still see it as just a storage tool?
[03:30:17] Luke Roberts: Yeah, it’s a, it’s a great point. And and, and that’s for some time. DAM was really seen as a place to store finished content. Some even joke it was a place where content went to die. But in reality, you know, it’s very different today. Uh, if you think about it, digital first economy, content is the business. You know, it fuels every digital experience, marketing campaign, product launch, brand interaction. And to put this into perspective, your brands are investing heavily in content, and they’re not just creating one asset for one channel. You know, they’re they’re producing thousands of variations across formats, regions, languages, audiences, and, and the volume and complexity has exploded. And we’re seeing this ourselves with over 50% of the digital assets in the, in the Binder platform uploaded in the last 18 months alone. And it’s no longer just about storage anymore. You know, just recently the Black Friday shopping period. I’m sure you’re probably familiar. It’s a big rush. Binder processed 2.6 billion optimized asset delivery requests. And, and that’s a, that’s a 100% year on year growth versus last year. And that level of demand simply didn’t exist a few, a few years ago. So talking about competitive advantage, but also talking about risk, right? With that scale, it becomes risk, and it becomes a competitive advantage at the at the same time if you can manage that. And, and without a true system of record, content is fragmented, you know, across drives, inboxes, agencies, teams waste time searching for assets, or even worse, using the wrong versions, you know, that leads to brand inconsistency or, or financial exposure. So really, you know, at the end of the day, brands that see DAM as storage, they’re not just behind. You know, they’re introducing complexity and chaos and to everything that drives market share today. And, and that is a digital experience, right?
[05:22:73] Greg Kihlstrom: Right, right. Yeah. Yeah. Wow. 100% growth. I mean, I, I believe I believe that figure just because you know, it’s it’s one of the and I know I know we’ll get to this in a minute, but you know, it’s it’s it’s a it’s a good thing, but also a challenging thing, right? And and so you know, you you talk about DAM being again, not just a not just a filing cabinet, but a system of record that unifies content and also connects all of those MarTech investment, you know, the those MarTech stacks with all the all the components to it that now everyone’s tying together for personalization and all that. For marketing leaders out there listening, how does a well-implemented digital asset management strategy make the rest of their MarTech stack from, you know, CMS DXP to their marketing automation, ecommerce? How does it make all those things more effective and deliver on that ROI that everyone needs as well?
[06:17:10] Luke Roberts: Yeah, absolutely. And, and when marketing leaders think about DAM as a system of record, what they’re really talking about is, is it’s the foundation that makes the entire MarTech stack work smarter. So if you have content centralized, governed, and brand approved, then it can be activated, right? Across the enterprise. And, and that unites teams across regions, agencies, partners, and it integrates, as you mentioned, you know, the best of breed upstream creative tools, but also the downstream activation platforms. And that really means that teams always have the right content in the right context and format. And ideally in the tools that they already use, right? So they don’t have to switch from tool to tool. They have the access assets from where, from where they work. And in that case, they can be automatically optimized to each channel, which supports personalization and micro-audience targeting much easier. I know that’s on the agenda of many C suite and, and marketing professionals out there. And this connected ecosystem, it’s not only making more teams more efficient and productive, it it links content to performance. And if marketers have clear insights into what assets or campaigns drive results, it it enables more informed data decision-making, right? It’s it’s uh, it’s making on facts and over over opinion. So really it’s it’s really a strategic DAM turns your MarTech stack from a collection of different tools into a high speed content engine and, you know, speaking about, you know, we’re on a on a podcast. I was lucky enough to interview Jackie, uh, VP of e-commerce at Helzberg Diamonds, uh, last year and, you know, I was super inspired to hear that by integrating DAM with their PIM and, uh, marketing automation tools. They didn’t just simplify the workflows, but they cut their time to market by 50%.
[08:03:45] Greg Kihlstrom: Oh, wow.
[08:03:77] Luke Roberts: And supported 25% online revenue growth. And you know, that’s huge at the end of the day. And, and that shows the power of a strategic DAM where you know, it’s not just governing the assets, but it’s actually making your entire MarTech system and teams perform better.
[08:20:41] Greg Kihlstrom: Yeah, yeah. And so let’s let’s talk a little bit more about that part too. You know, get it getting a little more tactical as far as how people and and the processes work, but also, you know, there’s this thing called AI that I’m sure, you know, everyone listening has has heard a little bit about over the last few years. You know, generative AI is is has been the you know, AI’s been around for decades, but you know, generative AI has been really the the core focus lately and, and a big part of that has been on content creation and I think the the number that you that you put out there, you know, 100% increase in in assets and, you know, all that stuff year over year. Again, I’m not surprised by it because, you know, Gen AI has made content creation so much easier and and accessible. But in addition to all this focus on content creation, you know, there’s also opportunity for agentic AI. Certainly, you know, I feel like that’s the buzzword of of 2026, but there’s also some real tangible benefits with it as well. And so, you know, there’s there’s opportunity for agentic AI to be embedded in in workflows. Can you give a practical example of how an AI agent can help a global marketing team manage things like compliance routing, tagging, all of that? Basically taking on some of that manual and, you know, frankly error prone work that often slows them down.
[09:42:15] Luke Roberts: Yeah, for sure. And, and as you said, there’s a lot of buzz and noise around generative AI and, and that’s understandable. I know it’s been a topic of some of your previous podcasts as well, uh, that I’ve enjoyed listening to. And, you know, just to give some context, right, around AI to to kick off, you know, at at Binder, we realized early that AI was a one-way door. You know, it wasn’t just another feature. It’s a, it’s a fundamental shift in how content operations run. And we needed to focus on that. You know, the appointment of of Binder Labs worked with over 60 enterprise customers and documented more than 200 real world use cases. And, and that led us to developing our agentic platform. Uh, and that’s uh, hosting a growing number of agents, you know, currently currently enrichment, transformation, governance, and compliance. And so to help answer this question and and bring this to life, you know, imagine a brand close to 90,000 assets, you know, it’s used across five markets. They’re under pressure, right? There’s been recent regulations that come into play around accessibility and compliance to that, which means every single asset published on a website needs accurate alt text, it needs to be localized, translated and and consistent across the markets. And and when done manually, you talk about, you know, error prone and slowed down. You know, we’ve been told that this this work has been soul crushing, right? Um, and if it’s outsourced, it can also break the bank, right? And, and this is where AI agents can change the game. Uh, and the the enrichment agent, for example, can be guided through simple natural language prompts to really see through the pixels and automatically analyze each asset as it enters the DAM. And it automatically generates, you know, the metadata. It creates the compliant alt text. It translates across multiple languages. And uh, all aligned to the local market requirements and and brand tone of voice. So, I mean, this gives you an example of, you know, if you have a DAM as a system of record, one you can add these AI capabilities, uh, but you can also execute this at scale. And, you know, when you enrich your assets, they become instantly searchable and governed. But this isn’t just for new content, right? You can then apply this across your entire media library. Uh, and that’s the power of of agentic.
[12:01:43] Greg Kihlstrom: Yeah, yeah. And so, you know, the the natural question then is, you know, all of those soul crushing, you know, to use your words, and I I’ve I’ve felt that pain myself and I’m sure many many have. With all of those kinds of tasks, you know, people, humans being freed up from doing many, if not all of those, you know, what does this free those human teams to do that is more valuable, beneficial, strategic? And how does this change the skills and and focus that that are needed in in marketing and and creative teams moving forward?
[12:37:11] Luke Roberts: Yeah. Well, well this is where the conversation gets really interesting. You know, because it’s the biggest impact of AI isn’t just about efficiency. It’s it’s really what gives people back. And a human led AI powered model, how we see that, your AI can become the best employee you ever hire, right? It works 24/7. It understands your context, uh, your brand rules, your markets. Agents are really there not to replace teams, but augment them. And, and what we mean by that is that they spend less time, you know, tagging and checking assets to, to more time driving real impact. And, and that matters, right? Because marketing creative teams are investing significantly in teams. And if you look at a global team of say, you know, 200 users, that’s that’s easily 15 million dollars in annual investment in salaries. And if you’re saving 30 minutes, we see a lot more than that, but just using the example of 30 minutes per person, per week, that recovers close to, you know, $200,000 in productivity every year. And that’s real value without adding adding head count. So I think the key point here is that AI doesn’t replace your human judgment, taste, and creativity. It should really amplify it. And if it handles the work machines are good at, like speed, scale, consistency, AI allows people to really do what they do best and, and they should be building stronger brands, right? Making better decisions and hopefully creating experiences that really that really matter.
[14:14:19] Greg Kihlstrom: Let’s talk a little bit about how we measure success here and, so, you know, rather than measuring success by the sheer volume of assets produced, because again, we can we can produce almost limitless assets at this point. It’s really just depending on the the credits that we want to spend with AI or or something like that at this point. You know, what are the key outcome-based metrics rather than output metrics that executives should be tracking to understand the real business impact of their content operations?
[14:47:64] Luke Roberts: Yeah, well, well for a long time, right? Marketing success was measured by output. You know, how many assets did we produce? How many campaigns did we launch? But really in the digital first world, that that’s no longer meaningful. And what really matters is, is impact. And, and speaking to customers, they’re they’re obsessed about this. You know, they’re like, how can we have bigger impact with with less effort?
[15:10:04] Greg Kihlstrom: Right.
[15:10:65] Luke Roberts: And, uh, you know, the first place leaders should look really is, is how quickly can teams move from idea to launch? You know, especially across regions and channels. Another critical and sometimes overlooked metric is, is brand and go to market effectiveness. You know, is off brand content in circulation? Do go to market teams, such as internal sales teams or external retailers, do they have the right content when they need it in the right context and how they how they should use it. And in terms of talking about real business value, of course, you need to look at engagement, right? From uh, conversion, uh, is equally as as critical. And the assets optimized and flowing seamlessly into CMS and e-commerce driving personalization. And we have a, you know, a standout example. You’ve probably know Inspire Brands or otherwise known as, you know, Duncan and and Baskin Robbins. They have 33,000 locations globally and over 30,000 assets created annually. Uh, so by adopting Binder as a system of record, they were able to accelerate time to market by 20%. And they deliver, you know, 1.2 billion assets monthly across two and a half thousand websites and they’re generating millions in in speed of market gains and improved campaign ROI. So that’s really bringing some hard numbers in terms of value driven from a an optimized content ecosystem. And you know, this isn’t just for large brands either. You know, this is a big company example and obviously it’s a big scale, but it’s the same for small consumer brands or regulated industries like financial services or or manufacturers. If you treat DAM as a strategic system to drive efficiency and consistency, that’s really where the competitive advantage lives.
[16:58:63] Greg Kihlstrom: Yeah. Yeah, yeah. I mean, I definitely agree and I think that that is one of the nice things about a lot of these aspects of of AI adoption is it’s it definitely helps at the large enterprise scale, you know, like most of my work is with with larger enterprise orgs, but it also helps with smaller organizations. I mean, they they have fewer people, they have fewer resources at a at a small business versus, you know, a large the the scale, you know, it it kind of helps it regardless of the size, which I I I think is a really powerful aspect of this. I think another thing regardless of size is just the the waste that is often, you know, again, because just because you can doesn’t mean you should create stuff, but, you know, based on your work as well as data from uh, the reports like the the Binder report, the the state of DAM, where do you see the most significant content waste in particularly in large organizations, you know, those things content created or assets created that are never used, but they kind of take up search results and and all of that. You know, how can a how can using the right system make that waste reducible?
[18:11:34] Luke Roberts: Yeah, it’s very important and it’s a big one, right? So we we see two big sources of of content waste. The most expensive is content that gets created and never used. And the most invisible is the times teams lose, right? Every day searching for files or recreating assets that already exist or even second guessing what’s approved. You mentioned there the state of DAM, uh, industry survey. We’ve got a new output coming, uh, very soon within the next month, which we’re excited to share about. A lot of insights around AI as well. But you know, almost 40% of organizations measure ROI from AI and DAM through time savings, right? And, and 35% point to improved search and discovery. So that really tells you how much time is being being lost, right?
[18:57:42] Greg Kihlstrom: Right.
[18:58:24] Luke Roberts: And, you know, that loss really shows up on a balance sheet. And at scale, it could add up to millions, right? In in productivity loss. And then from the creative side, uh, we see a significant portion of digital assets never activated after being created. Uh, and that has a direct hit, right? On, on, on marketing budgets, agency fees, and the like. So the problem is, is most organizations don’t see this waste because they’re scattered across drives or agencies or other tools and there’s no clear view. So once that waste is visible, it it can be reduced. And and teams stop recreating content that already exists. They design for reuse as well. Uh, and and they remove what’s not not used. And hopefully in turn invest in what actually performs.
[19:45:30] Greg Kihlstrom: Yeah, yeah. So looking out a little bit, uh, looking ahead, you know, as as brands continue to not only create content, but also focus on on things like hyper-personalization at scale and, and just different types and variations of of content. How do you see, you know, a content engine becoming that the this foundation, you know, how how do you make the case to an executive to do that as opposed to, oh, well, you know, maybe there’s maybe there’s some potential alternatives, but, you know, how does this intelligent content engine really become non-negotiable and really a foundation for this omnichannel customer experience.
[20:27:16] Luke Roberts: Yeah, it’s it’s great to look ahead and it’s a big question mark. But it’s also focusing on what do we do today in order to set us up for that. And, you know, we we see the biggest shift won’t be whether brands personalize, it would be whether they can do it effectively at scale, right? And and we know that things like hyper-personalization means exponential growth in in asset variants. And really without a centralized, intelligent, and strategically deployed system of record, that can turn into fragmentation and and brand chaos quite quickly. Yeah. Right? And, and as AI driven automation and agentic workflows mature, you know, we we move from storing and delivering assets to a complete active orchestration, right? Being able to understand context like audience, channels, markets, and regulations. It means that assets can automatically be enriched, transformed, and delivered in the right format to the right audience. And that means content, that content flowing seamlessly into CMS, e-commerce, your marketing automation. And really personalization becomes operational rather than aspirational. And, and teams can actually test, learn and adapt in the near real time because the performance is connected back to the system of record. So that’s uh, you know, that’s important to be talking about if you’re, if you’re not setting up that foundation as this volume increases, right? Instead of marketing teams focusing on things like strategy and storytelling and experience design, you know, they’re going to get caught up with the scale and complexity. So, you know, develop a content engine that will handle the scale, the governance and execution and that’s how brands are going to stay agile without burning out their teams and and their budgets.
[22:13:38] Greg Kihlstrom: Yeah, yeah. And and finally, you know, I want to talk about the the mindset shift and, you know, you you touched on this earlier as far as a lot of marketing in the past has been measured by outputs and, you know, again, we launched X number of campaigns this year or something and and certainly a lot of leaders are evolving to more outcome-driven thinking as well. But, you know, what what do you think is the biggest mindset shift that a marketing leader needs to make to really prepare their, you know, not only themselves, but their organization for a future where content is more fluid, it’s more intelligent, and it’s more automated.
[22:54:68] Luke Roberts: Yeah, well, the the biggest mindset shift marketing leaders need to make right now is, is moving from thinking about content as outputs to thinking about content as a system. You know, and for years success was about producing the big assets, the big campaign campaigns. Um, and the and the reality in the future and already today, success is really about building the infrastructure that allows content to flow, adapt and perform continuously. And, and you’re right, content is no longer static or or finished, right? It’s it’s it is fluid. It’s intelligent and and needs to be constantly evolving. So leaders need to stop asking how do we create more content and start asking how do we design a a content engine that scales? You know, one that is future-proof, it embeds governance and automation from the start, rather than bolting it on later and realizing it doesn’t it doesn’t work.
[23:44:80] Greg Kihlstrom: Right, yeah. Well, Luke, thanks so much for for joining today. Got a couple questions as we as we wrap up here. The first one, if we were having this interview one year from today, what is one thing that we would definitely be talking about?
[23:58:34] Luke Roberts: It’s a, it’s a great question. And, uh, you know, I think it’s the brands that thrive won’t be the ones experimenting in AI in isolation, right? So they’re really the ones treating content as a core business capability. And that means, you know, investing in in systems, data and operating models that allows your real creativity and intelligence to work together. And really seeing AI as a force multiplier, rather than a, uh, you know, a replacer. And, and I believe that that foundation is really what’s going to prepare teams not just for the next campaign, but really for the next five years and the next decade.
[24:33:43] Greg Kihlstrom: Yeah. Love it. Well, uh, last question for you before we uh, wrap up here. What do you do to stay agile in your role and how do you find a way to do it consistently?
[24:42:61] Luke Roberts: Yeah, well, for me, agility really comes back to feedback systems and learning and I’m always learning, right? I’m I’m always listening to customers, colleagues, friends and family as well and, and what’s happening in the market. It’s it’s moving fast. AI, new technologies are changing how brands work all the time. So really being able to use that insight and adapt quickly is is key to agility. I’ve really enjoyed being part of the podcast and uh, really hope we’ve inspired listeners to see digital asset management in a in a new light. So really appreciate you having me, Greg, and and wish you all the best.
