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In this episode, we explore the shift from “web analytics” to what we’re calling experience analytics - and why moving from Adobe Analytics to Customer Journey Analytics (CJA) shouldn’t be treated as a simple one-to-one migration.

We talk about the real value of CJA: stitching online and offline data to finally see the full customer journey across web, call center, and physical stores. But we also get honest about what it takes to succeed: clear use cases, organizational maturity, shared ownership across teams, and a solid identity strategy for stitching data together.

Our takeaway is simple: don’t upgrade for the sake of features or renewals. Upgrade with a plan - and treat it as a business transformation, not a technical migration.

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In this episode, we challenge one of the most overused (and unhelpful) phrases in data: “garbage in, garbage out.”

We talk about how a negative data narrative can actually sabotage data-driven ambitions, and why constantly focusing on what’s broken creates friction instead of progress. Instead, we argue for a mindset shift: focusing on the data we trust - our gold data - and building from there.

We discuss why data should be prioritized early in projects (not rushed in at the end), why “big data” is often the wrong goal, and how trusted data is the real foundation for ROI, AI, and business impact. The takeaway? Stop collecting everything. Start collecting what matters - and talk about data as an enabler, not a problem.

Garbage in, garbage out is officially dead. Long live gold in, gold out.

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In this episode, we dive into Adobe’s new AI agents in Customer Journey Analytics and what they actually mean for businesses - beyond the hype.

We talk about how AI agents can democratize analytics, automate reporting, and free up time for real analysis. But we also get brutally honest about the elephant in the room: data quality, governance, and trust. Because AI doesn’t fix bad data - it just scales the problem.

We discuss AI as a workflow enabler vs. AI as a business driver, why most AI projects die in pilot, and why executives, not tools, need to take ownership if AI is going to create real business value. Also: one of us is officially declared a “grumpy old man” when it comes to AI. We stand by it.