Episodes
100
Latest episode
May 2026
Language
EN
What Gets Measured is a NinjaCat podcast about marketing performance management, data, and analysis, featuring candid conversations and interviews with insightful guests and informative experts. Hosted and produced by Jake Sanders, this bi-weekly podcast provides marketers with applicable anecdotes and topical takeaways to better manage their performance marketing because; "what gets measured, gets managed." SHOWPAGE - https://www.ninjacat.io/blog/marketing-performance-management-podcast © 2026, NinjaCat
The "Godfather of Martech" Scott Brinker joins the NinjaCat podcast to unpack his 2026 State of Martech Report, discuss why and detail how AI is driving a fundamental transformation in marketing and business, and explain the many ways martech is evolving. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-what-comes-after-martech © 2026, NinjaCat
Luke Ambrosetti, Principal Industry Architect for Marketing at Snowflake, unpacks what actually makes a marketing stack AI-ready. Hitting on topics like data ownership, semantic layers, and addressing core concepts like business alignment, this conversation explores why modern marketing teams need more than dashboards to make AI useful at scale. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-the-ai-ready-marketing-stack © 2026, NinjaCat
Marketing performance dashboards should be more than a collection of charts. With data scattered across countless platforms, most teams are left with disconnected metrics and unclear insights. Tim Shea, founder and CEO of Latticework Insights, talks about the real power of dashboards, turning data into a story that aligns teams, uncovers opportunities, and guides smarter decisions. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-dialing-in-marketing-performance-dashboards © 2026, NinjaCat
Marketing AI agents are transforming how teams turn data into action. In this episode, Sandra Oono-Thomas—VP of Enterprise Growth & Digital Commerce at Daye North America—shares how her background in data and e-commerce helped her team move from spreadsheets to AI-driven, proactive marketing strategy. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-the-marketing-leaders-guide-to-ai-agents © 2026, NinjaCat
Eric Tilbury, Head of Programmatic at Inuvo, shares a candid look at programmatic advertising—how incentives shape outcomes, where campaigns go wrong, and how to buy smarter. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-what-are-your-really-buying-in-programmatic In this episode, you'll learn: Why most buyers don't know where their ads are actually running How "good performance" can come from low-quality or fraudulent inventory Why humans don't click ads—and why that matters more than you think How to rethink programmatic as a branding channel, not just a performance lever Where AI helps in programmatic—and where human judgment still matters Why platform metrics should guide optimization, not define success Key takeaway: If you don't know what you're buying, your strategy is built on assumptions—and your results will be too.
Find out how insights buried in qualitative data can be spun into quantitate gold, why average ratings and NPS numbers are misleading, and how to respond to reviews the right way in our chat with RightResponse CEO and co-founder, George Swetlitz. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-how-to-leverage-customer-review-data © 2026, NinjaCat
From Yahoo to pro sports, the "Dean of Big Data" Bill Schmarzo shares why AI should elevate human judgment—using propensity models and causal AI to drive smarter decisions. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-the-ai-human-edge In this powerful conversation, seven-time author and longtime data executive Bill Schmarzo breaks down the real competitive advantage in the AI era: not the model itself, but the intelligence system you build around it — one that systematically develops human capability. Drawing from decades of experience in large-scale data systems, from Strat-O-Matic Baseball to leading Advertiser Analytics for Yahoo's 200 million users, Schmarzo explains why AI should amplify human intuition, not replace it. If you're interested in AI strategy, human-AI collaboration, machine learning in marketing, data-driven decision-making, or building competitive advantage with AI, this conversation will reshape how you think about artificial intelligence.
AI tools are everywhere. Real adoption is scarce. In this episode of What Gets Measured, Jake Sanders and Jessica Graeser sit down with Ben Tasker, AI Workforce Development Strategist and Senior AI Strategist at National Grid, to unpack why so many AI initiatives stall—and what actually makes them stick. Ben shares lessons from building applied AI programs across healthcare, higher education, and large enterprises, including what it takes to prepare thousands of people for AI-enabled work. The conversation moves beyond tools into skills, systems thinking, trust, and learning cultures—and why AI strategy succeeds or fails at the human level. If you're a marketer, analytics leader, or operator trying to turn AI experimentation into measurable performance, this conversation will change how you think about readiness, risk, and real impact. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-why-skills-beat-tools-in-ai 🎧 Topics include: Why AI adoption is a human problem Skills vs. tools in AI strategy Augmentation, not replacement, for marketing teams Trust, learning, and AI at scale Cutting through AI hype to real value The future of AI recommendations and discoverability
Former CFO and AI educator Angeline Corvaglia explains why data isn't neutral—and how agencies can present AI and analytics insights responsibly and accurately. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-when-data-ai-and-decisions-meet We cover: • how interpretation shows up even in finance • why AI makes data feel more certain than it really is • where bias enters training data (and why it's rarely visible) • how leaders decide what data actually matters • and what finance leaders really want from marketers © 2026, NinjaCat
In this 100th episode of What Gets Measured, Jake and Jess revisit the clips from this year's standout conversations to uncover one powerful truth: AI only works when your fundamentals do. Hear insights from Mark Sirkin, Susan Walsh, Vanessa Liu, Cecilia Dones, Charlie de Thibault, and Mike Kaput on strategy, data quality, leadership, and the future of AI agents. SHOWPAGE: www.ninjacat.io/blog/ai-only-works-when-the-fundamentals-work © 2025, NinjaCat
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