This article was based on the interview with Intuit Mailchimp’s Ose Amiegheme, Head of Email Product, which discusses removing friction from martech by Greg Kihlström, AI and MarTech keynote speaker for The Agile Brand with Greg Kihlström podcast. Listen to the original episode here:
Every marketing leader is familiar with the hidden tax. It’s not an entry on a P&L statement, but it’s paid daily in lost time, creative compromises, and operational friction. It’s the cost of moving a meticulously crafted design from a creative tool into a marketing automation platform, only to see it break. It’s the manual effort of downloading, uploading, re-linking, and re-checking, a process that siphons away the very energy that should be spent on strategy and customer understanding. For too long, we’ve accepted this tax as a cost of doing business in a world of specialized, best-of-breed tools. We’ve built entire marketing operations functions around navigating these gaps, creating complex workarounds to connect systems that were never designed to speak the same language.
But the ground is shifting. The demand for true marketing agility requires us to do more than just work faster; it requires us to eliminate these points of friction altogether. This isn’t merely about convenience. It’s about building the foundational plumbing necessary for the next era of marketing—one where AI-powered agents can plan and execute campaigns, where data isn’t just reported but interrogated in plain English, and where human marketers are freed to focus on their highest-value contributions. I recently had a chance to explore this evolution with Ose Amiegheme, Head of Email Product at Intuit Mailchimp. His team is on the front lines of bridging these divides, and his perspective reveals a clear strategic shift from building walled gardens to cultivating open, interconnected ecosystems that meet marketers where they already are.
From Walled Gardens to Open Ecosystems
For years, the prevailing wisdom in the platform economy was to build a comprehensive, all-in-one solution and do everything possible to keep users inside that environment. The strategy was centered on customer lock-in. However, the reality of modern marketing is that our teams are specialists. Designers live in design tools, copywriters in documents, and data analysts in their own platforms. Forcing them onto a single platform often means compromising on the specialized functionality they need. The more forward-thinking approach, as Ose explains, is to embrace this reality and build bridges instead of walls. The recent integration between Mailchimp and Canva is a prime example of this philosophy in action, addressing a workflow gap that has plagued marketers for a decade.
“In the past, it used to be like, ‘Hey, get everyone onto your platform. When they’re on your platform, lock them in and make sure they never leave.’ But one of the things we’re looking at now is, okay, is like, how might we expand the pie with partnerships? How might we, like, meet marketers where they are? It’s like, ‘Hey, you love to do your designs in Canva. Do it in Canva. Let Mailchimp do the things it’s good at, which is getting your data, helping you hit your subscribers where you want to hit them.’”
This is more than a partnership; it’s a strategic pivot that every marketing leader should be considering when evaluating their own tech stack. The goal is not to find a single tool that does everything passably well, but to create a seamless workflow between the tools that do their respective jobs exceptionally well. For leaders, this means shifting the focus from tool consolidation to workflow optimization. The key question is no longer, “Can we get everyone on one platform?” but rather, “How can we connect our existing, best-in-class tools to eliminate friction and empower our teams?” This approach reduces the learning curve for new team members, allows specialists to maximize their impact, and ultimately makes the entire marketing function more resilient and adaptable.
Measuring What Matters: From Lagging to Leading Indicators
When we successfully remove friction from a workflow, the immediate benefits are obvious: we save time. But the downstream impact is far more profound, and it requires a shift in how we measure success. Traditional campaign KPIs like open rates, click-through rates, and conversions are essential, but they are lagging indicators. They tell us the result of our efforts after the fact. When we optimize the process of marketing, we need to look at leading indicators that reflect the health and efficiency of our operations. Ose argues that leaders should be turning their attention to marketing operations metrics, which provide a much earlier signal of a team’s capacity for high-quality output.
“I think, like, traditional campaign KPIs are like lagging indicators. They show up after the fact. So one of the things we have been looking at even internally at Mailchimp and I think marketers should look at is, like, really looking through, like, marketing ops KPIs, like cycle time and true puts and review time… in the longer term, when you have, like, shorter, like, cycle and review times, it kind of frees up your team’s creativity to actually spend more time thinking about what the messaging of that campaign is gonna be, and that usually translates to, like, downstream impact in the outcome.”
As a leader, focusing on metrics like “cycle time” (the time from campaign brief to launch) or “review time” (the hours spent in approval loops) provides a tangible way to measure the impact of workflow improvements. Reducing these numbers isn’t just an efficiency gain; it’s a direct investment in creativity. Every hour your team doesn’t spend troubleshooting a broken image or reformatting an email is an hour they can spend refining a headline, segmenting an audience more thoughtfully, or brainstorming a more compelling offer. By measuring and optimizing these operational metrics, you are not just making your team faster; you are creating the space for them to be smarter and more creative, which will inevitably drive those lagging campaign KPIs in the right direction.
Analytics Evolved: From “What” to “So What”
Data has never been more abundant, yet genuine insight remains elusive for many. We are surrounded by dashboards, charts, and spreadsheets, all telling us what happened. A campaign achieved a 35% open rate. A product generated a certain amount of revenue. But these numbers, on their own, are inert. The real challenge for leaders is to get to the so what—the actionable insight that explains why something happened and what should be done next. This is where the next frontier of AI in MarTech is opening up, moving beyond dashboards and toward conversational analytics. Tools like Mailchimp’s Analytics AI aim to democratize data analysis, allowing marketers to ask plain-language questions and get contextual answers.
“You get like this, like, blanket thing that 35% of people performed said actions and you don’t really know why. And what we’re trying to really do here is stopping you to have to do, like, a lot of, like, backend queries or putting things in a spreadsheet… It’s less about, like, here’s a spreadsheet and you see a number that is like, oh, 35%. It’s like, what does 35% mean for my business? And how can I actually, like, take that into doing something… that scales into another campaign?”
This is a critical evolution for enterprise marketing teams. It reduces the dependency on dedicated data science resources for every query and empowers campaign managers and channel owners to self-serve insights. When your team can simply ask, “Which subject lines performed best for our highest LTV customers last quarter?” and get an immediate, intelligent answer, the speed of learning and iteration accelerates dramatically. The ultimate goal, as Ose alludes, is to move from a reactive state (asking questions about past performance) to a proactive one, where the AI can surface opportunities and recommendations before you even know what to ask. For leaders, fostering this capability means creating an environment where curiosity is rewarded and data is a conversational partner, not a static report.
The Future Role: The Marketer as Brand Custodian
With AI automating workflows and generating insights, the perpetual question arises: what is left for the human marketer to do? The answer is not that our roles are diminishing, but that they are elevating. As the tactical, repetitive, and analytical heavy lifting is increasingly handled by machines, the uniquely human skills of strategy, empathy, and judgment become paramount. Ose frames this future role as that of a “brand custodian,” where the most important skill is not technical proficiency but something far more nuanced: taste.
“I think the role of the marketer in the future is most likely gonna be like a brand custodian. I think as AI starts to get better at execution, but also at strategy, because it can actually synthesize a lot of data, I think the most important skill for marketers is going to be what I call taste. And what does taste mean? Taste is like your abilities to discern what actually makes sense for your user, and that comes from really understanding your brand, really talking to people to know what really moves the needle, understanding your customers, understanding your company.”
This is the essential message for every leader looking to develop their team for the future. The value of your marketers will be less about their ability to operate a specific tool and more about their deep understanding of the customer, their intuitive grasp of the brand’s voice, and their ability to connect disparate cultural threads into a coherent and compelling narrative. “Taste” is the synthesis of this knowledge. It’s the ability to look at ten AI-generated campaign options and know which one will resonate with your audience and which one will fall flat. As leaders, our job is to cultivate this in our teams—to encourage them to spend less time on manual execution and more time talking to customers, studying the market, and immersing themselves in the culture that defines your brand.
The path forward is clear. The incremental improvements in marketing effectiveness will no longer come from simply pushing our teams to work harder within broken systems. The real gains will be found in systematically dismantling the friction between our tools, our teams, and our data. By embracing an open ecosystem philosophy, we empower our specialists. By shifting our measurement focus to operational efficiency, we create the space for creativity. And by leveraging AI to turn data into a dialogue, we accelerate our ability to learn and adapt.
This foundational work does more than just make our current processes better; it prepares us for a future where marketing is more proactive, intelligent, and, ultimately, more human. As we offload the mechanical aspects of our work to technology, we are freed to double down on our most irreplaceable skills: strategic thinking, creative judgment, and a deep, empathetic understanding of the people we serve. The marketer of the future isn’t a machine operator; they are a brand custodian, an orchestrator of technology, and the final arbiter of taste. It’s our responsibility as leaders to build the frictionless environment where they can thrive.
