Glenn Fleischman’s media page
What It Takes to Scale Revenue in a Data-Heavy, AI-Driven World
Glenn Fleischman, Chief Revenue Officer, helps brands turn data, AI, and insights into predictable growth through stronger teams, smarter systems, and better decision-making.
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Who is Glenn?
Glenn Fleischman is the Chief Revenue Officer at aytm. He leads revenue strategy and helps scale the company’s growth in AI-powered consumer insights. He has decades of experience building and leading sales and revenue teams across SaaS, martech, and enterprise technology.
His career has included senior leadership roles at companies such as Zappi, Invoca, NinjaCat and Arkadin (now NTT). He has lived and worked across the US, UK, Asia, and North American markets, leading global teams and scaling businesses through different stages of growth.
Throughout his career, Glenn has focused on helping companies turn complex data into practical business results. He has built repeatable sales systems and used structured methodologies to improve consistency, forecasting, and performance. He consistently builds organizations that develop strategic partnerships with enterprise clients to improve how they use consumer insights to make decisions and drive results.
At aytm, he partners with clients to connect AI, research, and business strategy to drive measurable growth. He is especially focused on how organizations integrate data sources to better understand consumer behavior.
Outside of work, he is a co-founder of the charity Life’s Angels, an organisation supporting underprivileged children. He is also a passionate musician, having played in two bands throughout his life.
Highlights
- Chief Revenue Officer at aytm
- Speaker at The Quirk’s Chicago - For marketing insights and research professionals
- Speaker at the 40th Annual Insights Conference Las Vegas, hosted by the Insights Association
- Speaker at TMRE: The Market Research Event in October, 2026
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Media Appearances
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What Your Audience Could Learn
The Fastest Way to Fall Behind Is Refusing to Adapt
Glenn believes that when new technology emerges, the worst response is to panic or dismiss it. Instead, he argues professionals should lean into each technological shift.
Glenn reflects on his early career at the dawn of the internet, when it was still an emerging tool. He made an early decision to engage with it directly, seeing it as something to be adopted and understood. Throughout his career, Glenn has deliberately adopted emerging platforms and technologies to stay ahead, even when they didn’t align with his personal style.
Glenn believes the mindset of treating new technology as a working tool rather than a novelty is often what separates long-term career growth from stagnation. He also believes that technological change consistently disrupts existing roles while creating new opportunities. This pattern continues today with AI: It will not replace jobs on its own, but professionals who learn how to use it effectively will outperform those who don’t, shaping who stays relevant in the next phase of work.
Traditional Agencies vs. Tech Platforms: The Hidden War Inside Market Research
Glenn believes there is growing tension in the market research industry between traditional agency models and software-led platforms. Historically, research has been delivered through agencies, but many of these organizations have increasingly adopted software-driven approaches.
AI is accelerating this shift by pushing research delivery further toward software-led and automated models. He believes both approaches deliver value, but they differ significantly in how they operate, how they are structured, and how they are priced.
This creates a divide between software-based agencies and more human-led agencies, especially in how buyers evaluate and purchase market research services. Glenn believes aytm operates at the intersection of these two approaches, combining a software platform with a human layer.
Why More Dashboards Won’t Fix Your Insight Problem
Glenn focuses on a growing challenge: companies are collecting more data than ever, but struggle to use it in ways that actually impact revenue.
He highlights the importance of combining different types of information: quantitative results, qualitative feedback, behavioral signals, and sentiment data, to better understand customers and anticipate their needs.
He points out that the real issue is not access to data, but how it’s used. Many teams fail to connect insights across different sources, missing opportunities to make better decisions and respond more effectively to customer needs.
While AI can help find patterns faster, Glenn stresses that human judgment is still essential to interpret what matters and apply it in a way that drives outcomes. For him, the goal is not more dashboards, but using data in a way that actually helps close business.
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