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

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 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

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

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.

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