Jyoti Malik's warning for anyone excited about agentic commerce: being "connected" across channels doesn't mean you actually understand your customer if the data underneath is a mess. She makes the case for auditing first-party data before investing in any new infrastructure — mapping business outcomes two years out and asking honestly whether you can even act on the data you already collect.
Behind the Expert
Jyoti Malik is Senior Director of E-commerce at Belkin, where she leads the North America digital business across marketplaces, direct-to-consumer, and emerging channels. She built her career at the intersection of retail and data: she started in branded retail product management, then moved into e-commerce after her MBA, spending several years consulting on omnichannel strategy for retail and consumer goods clients before joining Amazon on the channel side. From there she moved to the brand side, working commercially-oriented roles in consumer electronics before arriving at Belkin — the 40-plus-year-old, California-born accessories brand known for wireless charging and connectivity, now expanding into gaming, entertainment, and audio. Her current mandate covers some of the least settled questions in e-commerce right now: how a legacy omnichannel brand modernizes its data and channel strategy while AI chat platforms and agent-mediated shopping reshape what a "channel" even is. Notably, she doesn't claim to have this figured out — by her own account she has a "forming," not a "formed," point of view on agents as customers, and thinks that honesty is more useful to other operators than false confidence would be.
The Quick Hits
- Being "connected" across channels isn't the same as understanding the customer. Malik's standard: first-party data — or any data — is only a competitive advantage if you actually act on it in a way that's meaningful to the customer and the business. Volume and integration without action are just cost.
- Before buying new data infrastructure, map where the business needs to be in two years, then work backward to the data strategy that gets you there — not the reverse. Her rule for her team: "take a pen and paper" before shopping point solutions.
- Point-solution sprawl — an email tool here, a CDP there — creates tech debt you eventually have to rip out because "the new thing doesn't talk to the old thing." Evaluate any new tool on whether it integrates with what you already have, not just its standalone feature set.
- Malik doesn't have a formed point of view on agents as customers, only a forming one, and treats that as an honest starting point rather than a gap to paper over — she estimates spending roughly 5% of her time on it today versus 95% on everything else.
- She separates two distinct problems that get conflated under "agentic commerce": agents doing research and discovery on a human's behalf (already happening, requires investment in brand signal and credible content) versus agents actually placing the order (still early, and a real threat to whether the brand ever learns who the customer is).
- Readiness for agentic commerce isn't a new tool purchase — it's a data quality audit. The test is whether an AI agent has enough clean, structured context about a product to rank it fairly against every competing option it's shown.
- AI's clearest win on her team so far is content and research — drafting, ideation, even letting non-creatives generate assets that used to require a multi-week creative-team turnaround. Customer-facing AI chat, by contrast, still tops out at basic questions like order status; she keeps humans in the loop for any moment that touches the actual relationship.
From branded retail product management to Belkin's digital business
Malik's path into e-commerce runs through product management, not marketing. She started in branded retail, then pivoted after her MBA as online commerce was taking off — first in omnichannel consulting for retail and consumer goods clients, building the five-year and three-year roadmaps that early e-commerce demanded, then in-house at Amazon on the channel side, and finally on the brand side in consumer electronics. What brought her to Belkin was the chance to run the North America digital business across marketplaces, direct-to-consumer, and emerging channels — a remit she describes as moving fast enough that "last year we weren't talking about agentic e-commerce, now we all are."
Forty years of Belkin, built on quality and sustainability
Asked what's given a 40-plus-year-old accessories brand its staying power, Malik points to consistency of identity rather than reinvention. Belkin's category footprint has widened considerably — from wireless charging and connectivity to B2B solutions to newer bets in gaming, entertainment, and audio — but she credits the brand's durability to holding two commitments constant underneath that expansion: product quality and sustainability, both in the product itself and in how the company goes to market.
Her advice to DTC-native brands going omnichannel: start with the shared pain point
Malik gets asked a version of the same question from founders going the opposite direction she came from — digital-native brands expanding into physical retail or marketplaces like Amazon. Her advice starts with organizational alignment, not channel selection: find the shared business pain point (market share, typically, since 80% of retail is still physical) that gives every stakeholder a reason to move together, because the DTC playbook doesn't translate as-is once you're relying on other retailers' shelf space and rules.
Dropping the "E" from e-commerce
Malik agreed with Bryan Mahoney's framing that the "e" in e-commerce may no longer earn its place as a distinct discipline. Fifteen years ago, she argues, e-commerce needed its own definition and operating model because it was genuinely a different thing from a retail store. Today, with browsing and checkout collapsing into the same moment across sites, social, shoppable ads, and AI chat platforms, treating digital as a bolt-on to a legacy retail operating model is the mistake she thinks the industry most needs to leave behind heading into 2026.
First-party data is only an advantage if you act on it
Pressed on how she thinks about first-party data's importance, Malik resists treating it as an automatic asset. Maturity, quality, quantity, and context-dependent utility all matter — but her sharper point is that data only becomes an advantage once it's used to reduce friction and be genuinely relevant to the customer, whether that's through lifecycle marketing, resolving a stuck checkout, or mining customer service interactions for what's actually driving churn.
The pen-and-paper test before buying another data tool
Asked for the one practical lesson she'd carry to her next company, Malik didn't point to a framework or a platform — she pointed to a habit. Before evaluating any point solution, write down, literally, a two-year view of where the business needs to go, then work backward to what data strategy supports that. Skip the step and you end up buying tools that solve for buzzwords instead of a business question, and accumulating tech debt when the pieces don't talk to each other.
A forming, not formed, point of view on agents as customers
On agentic commerce, Malik was deliberately unwilling to overclaim expertise she doesn't yet have. She separates the question into two pieces. The first — human customers using chatbots and AI platforms to research and ask questions before they buy — she treats as already real and non-negotiable to show up in, with an unusually blunt warning about the cost of waiting: brands with credible content and trusted signals today get a first-mover advantage that's hard to claw back later.
Readiness for agentic commerce is a data audit, not a tool purchase
The second piece — agents actually transacting on a customer's behalf — Malik treats as genuinely early, worth maybe 5% of her attention today. But she's explicit that Belkin is already starting the groundwork, and that the groundwork is a data-quality exercise, not a new-vendor decision: whether the product data an AI agent pulls in is clean and complete enough for that agent to rank Belkin fairly against every other option it's evaluating.
She's equally clear-eyed about the economic risk underneath agent-mediated channels — margin pressure compounding as payment processing stacks on top of payment processing, with "ads are coming" as her read on where agentic marketplaces are headed. Her hedge isn't a technology bet; it's brand identity strong enough that customers seek the brand out directly rather than defaulting to whatever an agent surfaces.
AI behind the scenes: content and research, not the relationship
Belkin's actual AI usage today is narrower and more mundane than the agentic-commerce conversation might suggest — and Malik is candid that it's a mix of wins and reversals. Content creation, ideation, and research have worked well enough that a non-creative team member can now generate a usable banner in ChatGPT instead of waiting five or six weeks for the creative team's queue. Customer-facing chatbots are a different story: useful for basic questions like order status, but not yet capable enough — or, in her view, appropriate enough — to hand over the moments that actually build the customer relationship.
Sound Bites
- “We've been around for 40-plus years. A brand that was born in California. It's a brand that people still hold close. The brand stands for quality, and the other thing we practice is sustainability — in our product and in how we go to market.”
- “Digital commerce is not a bolt-on to the existing retail operating model, and that thinking we have to leave behind. We have to assess our setup, our team, our skill set — everything for what it means to be successful today — versus still being anchored to what our past operating model has been.”
- “First-party data — or any data — is an advantage only if you actually act on it in a way that's meaningful for your customers and your business. You have to be relevant to the customer. You have to remove the friction from the journey.”
- “Don't get lost in the buzzwords or the flashy solutions. I always say to my team, take a pen and paper. Think at least a two-year time frame — where is your business going to go, and then how is your first-party data strategy going to enable where you're trying to go?”
- “I don't have a formed point of view — what I have is a forming point of view, because I'm still learning. We have to assume all established customers are using these platforms, asking questions. Those who already had good brand signals and a lot of credible content are going to have a first-mover advantage. If you don't have that, you have to build toward it.”
- “When you take a human out of the equation, you have to reduce the friction even more. When it's an AI agent, you have to have quality data — know how that AI agent is going to rank your product amongst all the choices available to them. That's the GEO part — you have to provide enough context.”
- “Costco is going to be immune to a lot of this. People love their Costco membership, people will go and shop at Costco — they've established their identity. You'll have to think about ways of creating pull and getting customers to interact with you as a brand, versus continuously just bleeding margin.”
The Chord take
Malik's argument cuts against the instinct to treat "agentic commerce readiness" as a new category of technology spend. Her point is that showing up correctly for an AI agent — being rankable, being understood, being chosen — depends entirely on the same first-party data discipline most brands already claim to have and mostly don't practice: data that's clean, complete, and structured enough to actually answer the question being asked of it. A brand that has been storing a petabyte of customer data without a strategy for acting on it isn't one new integration away from being agentic-commerce-ready; it has the same underlying problem an AI agent will simply expose faster and more visibly than a human ever did. That's also why she resists claiming a "formed" point of view on agents as customers while the rest of the industry rushes to have hot takes. The honest position, in her telling, is to separate what's already real (customers researching through chat platforms, which demands credible content and brand signal now) from what's still speculative (agents transacting independently, which raises open questions about whether the brand ever learns who the customer is, and whether margin survives another layer of platform economics). Treating both as equally urgent — or worse, buying tooling for the speculative case before auditing whether you're even using the data you already have — is the trap her pen-and-paper discipline is built to prevent.
Put it to work
- 1Before buying any new data infrastructure, write down a two-year view of where the business needs to go, then work backward to the data strategy that supports it — not the reverse. If you can't state the business outcome a tool serves, it's not ready to buy.
- 2Audit whether your existing first-party data is actually being acted on. List the things you wish you knew about your customer, prioritize by which are answerable soonest, and check whether your current data already answers the top ones before evaluating anything new.
- 3Before adopting a new point solution, evaluate integration risk explicitly: will it talk to what you already have, or does it become tech debt you're ripping out in eighteen months because "the new thing doesn't talk to the old thing"?
- 4Separate the "agents doing research" problem from the "agents placing orders" problem. Invest in brand signal and credible, structured content for the former now; treat the latter as an emerging risk to monitor rather than a channel to fully build for today.
- 5Before piloting a channel where an agent can transact on a customer's behalf, ask upfront what data comes back to you. A name and an email address is a very different outcome for retention than an anonymized, obfuscated drop-ship order.
- 6Keep AI tools scoped to well-defined, lower-stakes tasks — content drafts, ideation, research, basic order-status queries — and keep a human as the final decision-maker at any moment that touches the actual customer relationship.
Full transcriptShow ↓
Bryan Mahoney
Welcome back to another episode of the Brilliant Commerce Podcast, where I get a chance to sit down with some of the brightest minds in commerce behind what I like to call iconic, or soon-to-be-iconic, brands. Today we're getting a chance to meet with someone who is truly at one of those iconic brands. So joining me today is Jyoti Malik, who is the Senior Director of E-commerce at Belkin. I'm actually holding on to one of my favorite things from Belkin right now, and it's this — it's a magnetized device that I put on the back of my iPhone. Whenever I'm traveling, I use my iPhone as my webcam, and I think it is absolutely ingenious. I've been a customer of Belkin for at least ten or fifteen years. So I'm really excited that you agreed to join me here today, and excited to learn more about your role and your background, and some of what you and the team are working on at Belkin today. So, Jyoti, thank you for joining me.
Jyoti Malik
Absolutely happy to be here, and thanks for having me.
Bryan Mahoney
Before we get into some of these hard-hitting questions — where am I finding you today?
Jyoti Malik
I am based in Seattle.
Bryan Mahoney
Seattle, awesome. All right, how's the weather today? Is it what everyone says about Seattle — is it raining all the time?
Jyoti Malik
Not all the time. It rains a fair bit and it has its own charm — at least, I feel that way now, after ten years of being here. It's quite pleasant.
Bryan Mahoney
So, ten years — you've had a really interesting career, at a number of really impressive brands. Tell me a little bit about your trajectory and what led you to Belkin.
Jyoti Malik
Sure. So I started my career in retail — branded retail product management. I really loved that part. Then, post-MBA, around the time online commerce was getting bigger, I was very curious about it, and that seemed like the next place to go. So I've been in e-commerce since then. First in consulting for a couple of years — omnichannel e-commerce consulting for retail and consumer goods clients. Everyone was trying to figure out what their five-year roadmap, three-year roadmap should be. A lot of analytics-related work, because data and e-com kind of go hand in hand. Then I moved to industry, starting with Amazon — so on the channel side I spent some time — and I've been on the brand side, primarily consumer electronics, for the last couple of years, in commercially-oriented roles very close to e-commerce. What brought me to Belkin was the opportunity to work on our North America digital business, which has the marketplaces, direct-to-consumer, as well as the emerging channels. That's really exciting, because there's so much going on in e-commerce right now — things are evolving fast. Last year we weren't talking about agentic e-commerce. Now we all are. So, yeah, it's a really interesting space to be in.
Bryan Mahoney
Is there one thing in particular that drew you to commerce? I think the background in product management is fascinating — Amazon's obviously an incredible school. But when I speak to a lot of people in technology, they say e-commerce is a solved problem, there's nothing to innovate there. I don't believe that to be true — we're in it. So I'm curious what drew you into commerce.
Jyoti Malik
What drew me into it, and what has kept me in it, is — in e-commerce you're essentially running all aspects of a business. You have to focus on the P&L, look near-term, long-term, all of those things. But really, I don't think it's been solved yet. I think people are still trying to figure it out, and it's evolving so fast, and that's what's kept me interested — commerce is not just restricted to a store, e-comm, or a website. It's anywhere commerce at this point, and that's the interesting piece. So maybe there are people who think it's all been solved and figured out. I certainly don't think so, and it's kept me interested.
Bryan Mahoney
I am 100% with you. It's like you and I have been in the same conversations, even though we're meeting today for the first time. I love to say that commerce is everywhere — you've got to go and have conversations with your customers where they actually are, and that is not a solved problem. I do believe that's part of the foundation of what makes an iconic brand — those brands that are willing to go and create those experiences with their customers, where they are. I do think there was a lot of friction in the early days of commerce — you remember filling out those checkout forms. Now there's less and less friction, but it's harder and harder to create those conversations, or find those customers, or cut through the noise — and we'll get to AI eventually, it's inevitable we don't avoid that. But for the maybe one person who doesn't know Belkin who's going to be listening to this — talk to me a little bit about the brand and some of the products. What's given Belkin the staying power it's had over its incredible history?
Jyoti Malik
We've been around for 40-plus years. A brand that was born in California — the team's still there. It's a brand that people still hold very close, part of everyday life across the product categories it touches, from wireless accessories to connectivity solutions to B2B-oriented solutions. And then we've gone into new categories like gaming, entertainment, and audio — so we have a very wide category set. The brand really stands for quality. And the other thing we really practice, what we preach, is sustainability, in our product and in how we go to market. So I think that's given the brand its staying power — just being true to the vision, true to the commitment to quality. And, of course, trying to be good for the planet.
Bryan Mahoney
I absolutely love that — more ingredients for what it means to be iconic. It's like having these brand pillars, and fundamentally you're still creating a physical product — it's impossible to escape that. And I'm going to go back to the device I'm holding on to right now. I've bought this exact same thing for ten people that I know, because when I first got it, I'd be on calls and people would say, your video quality is amazing, what's your webcam? And I'd say, it's my phone. They'd say, but how is it holding on to your monitor? And I'd say, well, I have this thing — it's so simple, but it's so beautifully designed, and it feels really good. I'm proud to buy it for folks, and I think that's nice, when you discover that brand and you have that relationship. I didn't need to see the reviews — I just thought, oh, that's a Belkin device, that's going to be high quality. So, congrats on that product — I'm a big believer in it. I want to come back to something I think is interesting about your career — you're obviously working at a brand now, but you were working at a really important channel before, at Amazon, and you used one of my favorite buzzwords, omnichannel. How much of your job is helping the team understand how best to show up across channels, or channel diversity, or channel mix? That can be an opportunity and a challenge. As I talk to founders who got started exclusively in DTC and are thinking about either physical retail or expanding to channels like Amazon — what advice would you have for them, in today's day and age, where omnichannel is one of those new buzzwords?
Jyoti Malik
Just to clarify — you're talking about digital-native founders or leaders now expanding into broader retail. I'd say it's a reverse of the same thing we've been doing — a lot of the brands we originated in physical retail, and e-commerce was sort of an add-on that expanded from there. So there's a lot of work that needs to be done for the organization to start thinking differently. If you're going the other way, some of the same things apply — one, it's really about driving a lot of education and connecting the dots for your stakeholders. You have to start with maybe a shared opportunity or a pain point that the business needs solving. For example: we need to grow market share, how do we grow market share? We have to be where the consumer is. If you're a digital-native brand, you know that 80% of retail is still physical retail. So now you have a shared opportunity, something you can all align toward — and this also shows up in the financials. So you're seeing that, and you know you need a new approach — the approach you had as a DTC-only brand isn't necessarily going to translate as-is. If you're trying to go omnichannel, there's a lot to be considered — unless you're opening up your own stores, I'm assuming it means going through other retailers, having your presence there. So start with a pilot — that would be the one way to go. I don't try to be everywhere all at once. Start with a pilot, have a plan, but phase it, and then gradually scale as it starts to show you results. There's many other things that need to happen too — you have to bring the team together, the incentives have to be aligned, you have to have team structures that enable success. If you don't have the skill set, you have to build for it or hire for it. Literacy is important too. Going from physical retail to digital, and digital to physical, you really have to know the landscape. So I think the important piece is starting with what the shared pain point or shared opportunity is — what that means for us as a brand, what our path looks like, what learning we can take from what everybody else is doing, and how we start in a phased, structured, smaller manner. Learn, and then go from there.
Bryan Mahoney
I think that phased approach is really smart — it sort of speaks to your product management roots. How can I create the business case and ultimately test into it? These are big bets, and sometimes I think we underestimate how hard it is to establish a relationship with, say, a Target — or, going the other way, selling into Amazon. You started in physical retail, and now you need to create this online experience — it's not as easy as creating a template, launching a website, and suddenly they're going to come. I love this thinking — you've got to hire into it, and you sort of have to test into it.
Jyoti Malik
Yeah.
Bryan Mahoney
As we fast-forward — I can't believe we're in the fourth quarter of 2025 — let's zip ahead to 2026. What's one thing that needs to change for commerce leaders as we move from '25 into '26?
Jyoti Malik
I think one thing I do hope we all leave behind — and I say this every year — is thinking that digital commerce is just retail, but online. It's not as simple as listing the SKUs on a site, running some ads, having some operational setup, and running the same playbook over and over, taking it slow. That's been the physical retail playbook — established over decades. You have the four walls of a retail store, you have the planogram, the formula has worked and hasn't really shifted too much. Now, with digital commerce, it's completely changed the game. You have commerce happening through sites, but it's also happening through social media, shoppable ads, AI chat platforms. Digital commerce is not a bolt-on to the existing retail operating model, and that thinking, I think, we have to leave behind. We have to look at the way it's being done today and then assess our setup, our team, our skill set — everything for what it means to be successful in this space today — versus still being anchored to what our past operating model has been, and thinking that making some adjustments on the periphery is going to help us succeed in e-commerce, or the way commerce is happening today, which is anywhere commerce.
Bryan Mahoney
Anywhere commerce — I like that. I might steal it, and now I'm on the record saying I'm going to steal it. One of the things I like to ask people is: are we ready to drop the 'e' from commerce? Isn't it just commerce? Are we not mature enough yet — commerce happens where our customers are, and where they're interfacing with our brand, whether that's within the four walls of retail or online, on our owned channels or channels where we've chosen to show up. So is 2026 the year we shift from e-commerce to agentic commerce, and physical retail commerce to just commerce, anywhere?
Jyoti Malik
I think so — is that fair to say? Yeah, I think that time is approaching. Fifteen years ago, e-commerce was starting to take shape and people needed to give it a definition — there was a bunch of terms that went around, omnichannel, digital, this and that. E-commerce was a way for people to distinguish what they were talking about, and what the whole operating model needed to build toward. But now it's everywhere — people are browsing and checking out at the same time, the funnel has really been collapsing. So we should just think of it as commerce now. People are in-store and they can shop online, right?
Bryan Mahoney
Yeah, yeah, it's true.
Jyoti Malik
While being in the store. So, instead of thinking, oh, I have this part which is my physical retail, and then I have to add e-commerce to it, and then I have to add social to it, and then I have to add something else to it — just think about commerce. You have to be in front of the consumers, where they are. How do you engage with them, how do you make that transaction happen, and then retain that relationship? What can you learn about the consumers, how do you then stay with them through the lifecycle? I think all of that thinking has to come together. So it's not in-versus-physical anymore. It's just commerce.
Bryan Mahoney
I love that as a segue into learning and relationships. To me, one of the great things about commerce moving online is our ability, as retailers or brands, to accumulate first-party data on our customers. As someone who's a leader at an omnichannel brand, you have access to an awful lot of first-party data — and data that's not first-party too. How important is first-party data at Belkin? How do you think about it? What are some metrics that really matter? Let's dive into first-party data as a conversation, because I think it can bring us back to how the funnel is collapsing, and how you're adjusting as a marketer, and as a digital commerce leader, in that regard.
Jyoti Malik
Absolutely. I think first-party data is a competitive advantage — it can be a big advantage. What really matters, and this is where you have to look at where you are on the maturity scale, is that the quality of it matters, the quantity of it matters, and the utility is context-dependent. I'll also go a step further and say first-party data — or any data — is an advantage only if you actually act on it in a way that's meaningful for your customers and your business. So one thing we talk about — to be successful and have a meaningful relationship with the customer, especially when there's so much noise, so much choice, and limited attention, you have to be relevant to the customer. You have to approach things from a customer point of view and really remove the friction from the journey. First-party data ties well with that need — you have granular data about the customer, their every interaction with the brand in your own channels, so that can really help with understanding how they're engaging, where they're getting stuck, how to resolve that. Then things like lifecycle marketing — you can engage with them directly, one-on-one, in a setting where you're not competing for attention, where you're not there with twenty other brands. If they clicked on your email, you've got them looking at it for five seconds, ten seconds — and assuming you get them to notice and receive that invite to engage, then you're free to engage with them and learn from that interaction. Then you continuously use this data to improve things like your operations — customer service data is a rich source of insight, it helps you understand what the customer's pain points are, and why. You usually get to learn a lot about the things that help you keep the customer. Customer acquisition isn't cheap — continuously having to acquire customers, losing them, and trying to acquire new ones isn't good for the brand or the business. So really using that post-purchase data, that interaction, is very helpful. And you can engage with customers very creatively too — when you know enough about them, you can be really relevant. For example, if you have consumers local to a specific area, you can invite them to community-building efforts — just picking an example, you can create moments of delight for them. That's operating within your own channels, and then, assuming you have a sufficient quantity of good first-party data to have statistically significant insights, you can take those insights and apply them appropriately to other channels — how you engage with the consumer even in channels that aren't owned by you, like third-party retail.
Bryan Mahoney
I love that. I wish more people offered up the advice that first-party data is really important, but it can be expensive and time-consuming to accumulate. Before you, as a brand, make that investment, how do you give yourself an honest assessment of where you are on the maturity curve? Number one, how do you even define what that is? Number two, assuming you can accumulate the right amount of first-party data, do you have the team — have you hired the right people to be able to use it? Because otherwise, maybe it's not the right thing for you to invest in. I remember the early days of e-commerce — I've been on the record saying this before — I used to talk to other leaders and they'd say, 'do you know how much data I have in my data warehouse?' And I'd say, I don't know how much. 'Do you have a petabyte yet?' I'd say, well, what are you doing with it? 'Well, nothing, but we're storing it.' I'd think, well, that seems risky to me.
Jyoti Malik
One million emails. Sure, yeah.
Bryan Mahoney
Right — okay, is anyone opening your email? Are you sending the relevant content? I think that's really smart, and almost like having a checklist as you're getting started with first-party data. As an industry we're sort of told, 'first-party data, first-party data' — I think that's right, but do you have a strategy for it, can you leverage it the right way? There's been such a proliferation of point solutions that hoover up some of their own first-party data, and you're like, wait a sec, I want that too. So do you have a holistic approach, a point of view, on first-party data — and how have you developed that over time? What lessons have you — if there's one lesson you could leave people with that's been really practical, that you'd take with you to your next company and the company after that, as it relates to first-party data, for someone who's a bit earlier on the maturity curve — what might that be? This might be a hard question.
Jyoti Malik
No, I've dealt with that. I think, specifically speaking to a company that's just starting out and early on in the maturity curve — don't get lost in the buzzwords or the flashy solutions. You start searching and you have hundreds of options and so many points of view to think about, so don't get overwhelmed. I always say to my team, take a pen and paper. It's the analogy for: sit down, what do you want to do with it? Think at least a two-year time frame — where is your business going to go, and then how is your first-party data strategy going to enable where you're trying to go? It all has to be in sync, otherwise you'll just buy a solution here — maybe an email solution one year, some sort of CDP the next — but then you haven't really answered a business question. You haven't tied your business need to how this data is going to support you. So it's very important to spend a good amount of time doing that, pressure-test it a bit, and then start small. Instead of buying everything at once, start building the core of it — and then, as you're evaluating different solutions and different sources of data, ask how it's going to work together. That's very important, because in the long run what you don't want is to accumulate a lot of tech debt along the way, and then spend time ripping solutions out because the new thing doesn't talk to the old thing. So it's really important to have that view and spend a lot of time on it before you go out and bring in solutions, because these aren't short-term — they're commitments you have to see through.
Bryan Mahoney
Time to manage — and sometimes you make the investment and feel obligated to try to make it work. I think having that starting point — what's the problem we're trying to solve, what's the core — is important, because maybe part of the problem with believing commerce is a solved problem is that you have a checklist, 'I know I need to buy this,' and you're not asking what problem that's solving for you, and how you're going to use that data. I like that — just stop for a second, be really thoughtful, take out your pen, get a piece of paper, write it down, and then you can start thinking about what solutions you might need — because the solution might already be in the organization, or you might be a year early, where you don't need that solution and it's just going to be a distraction.
Jyoti Malik
Exactly. Have your list of the things you want to know about the customer that you think you will, once you have all the data — and then, out of those, start prioritizing, and figure out what's the most important question, and what question can be answered sooner.
Bryan Mahoney
What use cases are we trying to get to? At the risk of not taking the advice you just gave us, and focusing on the flashy thing — I'm curious to get your point of view on agents as customers. I just got off a call where someone was saying we've abandoned our SEO strategy and we're only thinking about GEO. I thought, okay, that's interesting. But it is true that more and more agents are going to be shopping our websites and trying to decide if our products are relevant. Do you have a formed point of view on this yet? Do you think about agents as customers? Am I thinking about that the right way? Is there another way you're thinking about making sure that if someone is searching on ChatGPT or Perplexity, Belkin is showing up as a relevant part of that conversation?
Jyoti Malik
To answer your question, I don't have a formed point of view — what I have is a forming point of view, because I'm still learning.
Bryan Mahoney
Okay, yeah — learning. That's fair.
Jyoti Malik
I'm like, what is everybody saying, what's the signal versus the noise in all of this? I think there's two things to this. One is customers — we have to assume all established customers are using these platforms, these chatbots, and asking questions. It's not a fad, it's not something that's happening only to a small segment of customers. So yes, we need to be showing up — how do we show up, where are these chatbots sourcing their data from? Reddit always comes up, popularity. And I don't think you can miss the boat on that one, because it's already happening, and those who already have good brand signals, trusted signals, and a lot of credible content are going to have an advantage — a first-mover advantage. If you don't have that, you really have to build toward it. Now the other piece is when the agents start shopping — when the customer is somewhat removed from the equation. So you'll have the human customers, and then you have the agent customers. I think you will always have human customers, right?
Bryan Mahoney
I sure hope so.
Jyoti Malik
I hope so too. I want to be in a world where I'm a romantic.
Bryan Mahoney
I love being a consumer. I don't want that to go away.
Jyoti Malik
And then a subset of the purchases, the transactions, depending — also depending on the kind of product, what industry you're in. Is it a very involved purchase, or is it just an essential commodity? You'll have to cater to those as well. So I don't think that time has come yet where you can abandon talking to a human customer and just cater to the agents. I think humans are always going to be involved, and we hope they are. It's about — humans are using these AI chatbots and platforms to engage, research, learn, and shop directly, which we've just started seeing over the last couple of weeks. You have to be on that, without completely abandoning the human side and solely catering to agents. I think that's a ways out. Let's see how that evolves, and to what degree — it's about being ready, versus abandoning whatever you were doing and what the core of your business is. I'd probably spend about 5% of my time thinking about that particular thing right now.
Bryan Mahoney
Yeah, I think it's about being ready. How do you get ready, or what advice would you have for someone to get ready, from the point of view of first-party data?
Jyoti Malik
First-party data too—
Bryan Mahoney
So, as soon as agents are shopping on your behalf, how does that change the approach you'd normally take to first-party data? Or is it too soon to say what first-party data we're going to be able to get back?
Jyoti Malik
It's an interesting question. I'd say I'm in the very early stages of even thinking about it, but just to share some early thoughts — I think when you take a human out of the equation, you have to reduce the friction even more. So now you have to be very thoughtful. A human can step away from the computer, maybe call, do some research, speak to a friend, or whatever, and make a decision — or come back to your site a couple of days later. That's a different kind of engagement. When it's an AI agent, you really have to have quality data — know how that AI agent is going to rank your product amongst all the choices available to it, how it's going to understand and learn about your product. That's the GEO part — you have to provide enough context. So looking at your data and assessing it for readiness for agentic commerce — that part I think is really important, and we're actually kind of embarking on that journey to do that. What exactly will need to happen, how exactly, all your data will have to evolve. And then the question you just called out — a very important one — I'm very interested in what kind of data you'll get back.
Bryan Mahoney
Yeah, I know — I'm worried, I haven't answered that yet.
Jyoti Malik
Yeah, yeah.
Bryan Mahoney
Right now, the optimist in me thinks, well, I'm going to get a lot of first-party data back — the agent is really just placing the order on behalf of the customer, on my channel. But the worst-case scenario is that you're operating on a channel that's going to obfuscate that from you. I think about the use case where I know an agent just placed this order on your behalf, but I'm really excited that you're my customer — I have your email address, I want to send you a lifecycle email that says, what do you think about the product? That's different — we have to think about it differently as marketers. But if all I can do is drop-ship the order to you, and I can't actually have you as my customer, I start to be less optimistic about that as a channel. I hope that's just a new way for some people to shop for certain things, removing more friction from the checkout process — saving a click. But otherwise, I still, as a brand, hope to have an opportunity to interface with the customer. I'm prepared for everything and anything. I'm also hearing some people worried about the economics of the channel — we're increasingly operating in a world under margin pressure, and there's not more margin for you and payment processing for you. At a certain point, we can't keep passing these costs along to the consumer. So I'm cautiously optimistic about where we go here.
Jyoti Malik
It's funny you talked about economics, because I think ads are coming.
Bryan Mahoney
Yeah, the ads are coming. Payment processing on top of payment processing. If you're delivering the customer and removing the friction, I'm willing, as a brand, to pay for that — but I think there are reasonable limits. As you think about being omnichannel, and thinking about the channels, and having visibility into channel profitability and the levers you have — sometimes you just have to go where your customers are, but other times you have influence over where you want your customers to be. I think having that point of view is really important.
Jyoti Malik
Yes, you'll have to get very clear on that, and that's what will keep you grounded — otherwise you're continuously getting swayed. I was reading a really interesting article about what agentic e-commerce will mean for shopping — not what AI will mean for shopping in general — and there was a conversation about how Costco is going to be immune to a lot of this. People love their Costco membership, people will go and shop at Costco. There's a very loyal base — say, for Trader Joe's — I mean, it's grocery, super competitive. But they've established their identity, and they have a customer base that resonates with that identity. So you'll have to have that kind of pull — you'll have to think about ways of creating pull and getting customers to interact with you where it works for you as a brand, versus continuously just bleeding margin. Like you said, we can't always keep passing the cost along to the customer.
Bryan Mahoney
No, definitely not — it's still so important, I think. I really appreciated something you said earlier, around the hidden cost that no one thinks about, of acquiring a customer and then losing them, having to reacquire them and reacquire them — that doesn't work. I think the way we protect against that is by having a good relationship with that customer — we have to be really thoughtful about it. I'm going to run us out of time here, and I feel like we could spend the next hour talking about these things, but I'm curious if I can sneak one other question in. We've talked about agentic e-commerce, for better or worse — how about AI behind the scenes, for you and the team? Is there a tool or tools the team is using to unlock some efficiencies? Has it been what you expected, if you've tried it? Have you been surprised, have you been disappointed? I'm trying to get a really honest point of view on all of this — I speak to people and ask the same question, and a lot of them say it looked really good and then it didn't really work. I haven't heard many people say it's changed their lives — I think we might get there — but I'm curious what you've tried, and what the reaction has been so far.
Jyoti Malik
I could speak to two examples — one where it's really helped, and one where we tested it and went back to a different approach. First, digital channels — social media, commerce, all of that coming together — the need for content is really blowing up, and we have to keep scaling with that, and refresh content much faster than we used to. So we're using AI tools to create content, brainstorm, do research — I think that's really helpful. It also democratizes this to a great extent — I have somebody on my team who's not a creator, not a creative team member, but she'll say, oh, I need to create this banner, and she did it in ChatGPT, and it looked amazing, and it got deployed. So optimizations like that can be done by broader teams, versus everything having to go through the creative funnel and waiting five or six weeks to get the output back. So we're finding it very useful in different forms — optimization, creation, pure research, generating ideas, and deploying.
Bryan Mahoney
Yeah, that thought partner — those tools are really shortening the feedback loops. If I have a bit of writer's block, it's, oh, let's generate some ideas. But the human is still executing on the final idea.
Jyoti Malik
Absolutely — that's where I feel the utility is very much there. That's something we've embraced now, as far as connecting with human beings is concerned. For customers, AI chatbots — I think beyond the basics, where is my package, a few questions like that — anything beyond that, the capability isn't there, at least in our experience. And second, do you really want to hand over that critical moment of engagement to an AI agent, versus having human beings who can come up with creative options and solutions when needed, or build that relationship with the customer? That's where I think it's important to drive a balance, and be very thoughtful.
Bryan Mahoney
And perhaps when the relationship is already in a fragile place too — we might already be on thin ice, and how much risk are we willing to take? But now maybe we can give content tools to agents to help come up with really creative answers, faster, better — but I still want that human in the loop.
Jyoti Malik
Absolutely.
Bryan Mahoney
That's a really interesting perspective — maybe a time-saver, a cost-saver, or a brand-saver, for people listening who are being told they should replace their entire CX team with chatbots, and why haven't they done it yet. So hearing it from someone who's had a chance to look at it at a brand like Belkin is super helpful. Jyoti, this has been amazing — I want to keep chatting, there are so many questions I didn't get to about your technology stack and how you're thinking about data, but I'm going to have to invite you back, because I've absolutely run us out of time. A real pleasure, and thank you so much for sharing your knowledge — I'd love to have you back on a future episode.
Jyoti Malik
Absolutely happy too — it's been really fun chatting. Thank you for the wonderful questions and the conversation.