A Bloomberg Terminal for Marketing?: Why One Veteran Thinks the Industry’s Fragmentation Problem Is Finally Solvable
Marketing fragmentation has been the industry’s dirty secret for decades. Campaigns scatter across dozens of channels, creative assets multiply without coordination, and CMOs are left squinting at disconnected dashboards trying to figure out what’s actually working. One veteran of the industry’s digital origins thinks he’s finally built the tool to fix it.
His take: show marketers everything their consumers are seeing, across every touchpoint, and match it to performance data in one place. Think of it as a Bloomberg terminal for marketing – a single interface that aggregates the chaos into something actionable.
“I bought the domain mktg.ai in 2016 and tried to build it then. It just couldn’t be built,” said Kevin Wassong, founder and CEO of mktg.ai, in this video interview with Beet.TV. “And finally, we’ve built it over the last two years.”
A career-long problem, a two-year solution
Wassong’s credentials in digital marketing stretch back to the medium’s earliest commercial days. He founded the digital division of J. Walter Thompson in the 1990s, helping brands navigate the first wave of the internet. That experience, he suggested, gave him an unusually long view of how the industry’s structural problems compounded over time.
The platform mktg.ai has built is positioned as “creative-first,” meaning it surfaces what consumers are actually encountering in market before layering in performance analytics. The goal is to let marketers audit, archive, and analyze their activity in a unified environment rather than toggling between siloed tools. It’s a workflow argument as much as a technology one.
“The product’s really been in market for about a year now, and we’re moving fast,” Wassong said. The company sells primarily to CMOs, pitching the platform as a holistic view of marketing activity at the executive level.
The fragmentation problem CMOs can’t ignore
The timing may be favorable. Gartner’s 2026 CMO Spend Survey found that CMOs are now allocating an average of 15.3% of their marketing budgets to AI initiatives – yet only 30% of marketing organizations report having mature AI readiness capabilities. Investment is outpacing infrastructure, which is precisely the gap a platform like mktg.ai is designed to address.
Wassong pointed to a presentation by Greg Stewart at the Possible conference, where he was interviewed, as validation of the direction the industry is heading. “We’re now getting to that point where creative first, understanding what’s working across multiple channels is mission critical,” he said. The reference underscored his view that the industry’s consensus is shifting toward integrated, performance-linked creative intelligence.
Gartner also forecasts worldwide AI spending to reach $2.59 trillion in 2026, a 47% jump year-over-year, suggesting the macro environment is accelerating demand for exactly the kind of tooling Wassong is building.
Speed of decision-making as the real product
What Wassong kept returning to was velocity. The pitch is the ability to act on what you see, faster than the current fragmented stack allows. “They can make decisions faster,” he said of the CMOs using the platform, describing the ability to audit and analyze marketing activity as foundational to that speed.
That positions mktg.ai less as a reporting tool and more as a decision-support system, which is a meaningful distinction in a market crowded with dashboards.
Whether the Bloomberg terminal analogy holds up – Bloomberg’s power comes as much from its network effects and data exclusivity as its interface – remains the longer-term test for the platform.
You’re watching Beet.TV coverage of POSSIBLE 2026. For more videos from this series, please visit this page.
Marketing fragmentation has been the industry’s dirty secret for decades. Campaigns scatter across dozens of channels, creative assets multiply without coordination, and CMOs are left squinting at disconnected dashboards trying to figure out what’s actually working. One veteran of the industry’s digital origins thinks he’s finally built the tool to fix it.
His take: show marketers everything their consumers are seeing, across every touchpoint, and match it to performance data in one place. Think of it as a Bloomberg terminal for marketing – a single interface that aggregates the chaos into something actionable.
“I bought the domain mktg.ai in 2016 and tried to build it then. It just couldn’t be built,” said Kevin Wassong, founder and CEO of mktg.ai, in this video interview with Beet.TV. “And finally, we’ve built it over the last two years.”
A career-long problem, a two-year solution
Wassong’s credentials in digital marketing stretch back to the medium’s earliest commercial days. He founded the digital division of J. Walter Thompson in the 1990s, helping brands navigate the first wave of the internet. That experience, he suggested, gave him an unusually long view of how the industry’s structural problems compounded over time.
The platform mktg.ai has built is positioned as “creative-first,” meaning it surfaces what consumers are actually encountering in market before layering in performance analytics. The goal is to let marketers audit, archive, and analyze their activity in a unified environment rather than toggling between siloed tools. It’s a workflow argument as much as a technology one.
“The product’s really been in market for about a year now, and we’re moving fast,” Wassong said. The company sells primarily to CMOs, pitching the platform as a holistic view of marketing activity at the executive level.
The fragmentation problem CMOs can’t ignore
The timing may be favorable. Gartner’s 2026 CMO Spend Survey found that CMOs are now allocating an average of 15.3% of their marketing budgets to AI initiatives – yet only 30% of marketing organizations report having mature AI readiness capabilities. Investment is outpacing infrastructure, which is precisely the gap a platform like mktg.ai is designed to address.
Wassong pointed to a presentation by Greg Stewart at the Possible conference, where he was interviewed, as validation of the direction the industry is heading. “We’re now getting to that point where creative first, understanding what’s working across multiple channels is mission critical,” he said. The reference underscored his view that the industry’s consensus is shifting toward integrated, performance-linked creative intelligence.
Gartner also forecasts worldwide AI spending to reach $2.59 trillion in 2026, a 47% jump year-over-year, suggesting the macro environment is accelerating demand for exactly the kind of tooling Wassong is building.
Speed of decision-making as the real product
What Wassong kept returning to was velocity. The pitch is the ability to act on what you see, faster than the current fragmented stack allows. “They can make decisions faster,” he said of the CMOs using the platform, describing the ability to audit and analyze marketing activity as foundational to that speed.
That positions mktg.ai less as a reporting tool and more as a decision-support system, which is a meaningful distinction in a market crowded with dashboards.
Whether the Bloomberg terminal analogy holds up – Bloomberg’s power comes as much from its network effects and data exclusivity as its interface – remains the longer-term test for the platform.
You’re watching Beet.TV coverage of POSSIBLE 2026. For more videos from this series, please visit this page.
Series Videos
