Summary In today's episode, I explain why Google Analytics 4 is supposedly better in the long run despite its current rough edges and transition challenges. Here's what this means for you. Companies that develop technical proficiency with GA4's data capabilities gain a sustainable competitive advantage through custom models and deeper insights that other companies miss.…
Summary In today's episode, I walk through how to get stakeholders aligned on source and medium tracking in Google Analytics 4 by combining organizational authority with a simple shared process. Here's what this means for you. You'll replace chaotic channel groupings with a controlled tagging system that makes attribution actually trustworthy. You'll also learn these…
Summary In today's episode, I walk through exactly when and how your company should make the leap to Google Analytics 4. Here's what this means for you. You get a practical migration framework built around parallel deployment, governance readiness, and stakeholder reporting continuity rather than a single switchover date. You'll also learn these concepts: why…
Summary In today's episode, I explore whether AI vendors will need to anonymize or share their training data sources, breaking down the trend toward opaque black-box models and the growing case for third-party auditing. Here's what this means for you. You gain a practical framework for knowing when pushing vendors for bias audits makes sense…
Summary In today's episode, I explore whether AI makes the challenges of data democratization even worse and what determines the outcome. Here's what this means for you. You gain a clear framework for understanding why expertise matters more than ever when deploying AI tools and analytics systems. You'll also learn these concepts: why naive users…
Summary In today's episode, I walk through a data-driven method for deciding when to refresh or retire your ads instead of relying on your feelings. Here's what this means for you. You gain a clear, repeatable technique that detects diminishing returns in your ad performance so you can protect your budget and boost ROI. You'll…
Summary In today's episode, I announce the end of Saturday Night Data Party and explain why marketers must adapt to shrinking data access and increasingly unreliable research. Here's what this means for you. You gain a clear framework for becoming a data custodian and applying rigorous peer-review thinking to everyday marketing analysis. You'll also learn…
Summary In today's episode, I walk through how to chip away at building a data-driven SWOT analysis on a small team that lacks key data skills. Here's what this means for you. You gain a practical starting framework for turning limited resources into actionable competitive intelligence. You'll also learn these concepts: how to identify which…
Summary In today's episode, I explain how brands can use large-scale data analysis to figure out which Facebook ads actually work in their industry. Here's what this means for you. You can stop guessing about ad creative and instead mine competitor posts, tag them for themes, and test data-driven variations against your normal ads. You'll…
Dasha asks, “I want to take some classes on analytics and visualization skills – what would you recommend?” I’d start by learning the principles of data visualization first. Edward Tufte’s book, The Visualization of Quantitative Information, is the classic textbook to start with. Then look at Data Studio’s introductory course, followed by Microsoft’s free EdX…
