Summary In today's episode, I break down why siloed data sabotages AI adoption inside companies. Here's what this means for you. You gain a clearer lens for diagnosing why your AI initiatives stall, even when the technology itself works perfectly. You'll also learn these concepts: why treating AI as just another kitchen appliance means you…
Summary In today's episode, I explain why Google Analytics 4 cannot configure demographic data for non-binary genders and offer a practical workaround for collecting it yourself. Here's what this means for you. You can gather first-party demographic data directly from your users and use it to model whether gender actually impacts your business outcomes. You'll…
Summary In today's episode, I walk through how to exclude specific pages from Google Analytics 4 tracking using Google Tag Manager triggers and data layer events. Here's what this means for you. You keep complete data while still filtering out unwanted sessions like login pages on the reporting side. You'll also learn these concepts: how…
Summary In today's episode, I explore why business leaders stumble when making decisions and what it truly takes to lead with data-driven decision-making. Here's what this means for you. You'll see how letting go of ego and outdated habits unlocks clearer, more objective choices that work in today's radically changed world. You'll also learn these…
Summary In today's episode, I explore whether you can connect Google Analytics 4 data into a lead scoring model through marketing automation. Here's what this means for you. You learn practical paths for bridging GA4 with your marketing stack even when a native integration is missing. You'll also learn these concepts: how BigQuery acts as…
Summary In today's episode, I break down why some companies charge for data you can get free from the government and how to think about paying for convenience. Here's what this means for you. You'll get a clear ROI framework that helps you decide between spending your time processing raw data or spending money to…
Summary In today's episode, I explore what content is missing in the analytics space by walking through the "who, what, where, when, why, and how" framework to identify the biggest gaps. Here's what this means for you. You'll discover that the most overlooked areas are retention analytics and demystifying who should be doing analytics, which…
Summary In today's episode, I break down why most marketing technology problems aren't actually technology problems at all, and I introduce the 5P framework for diagnosing the real issues. Here's what this means for you. You stop blaming tools and start examining the data, people, and processes that truly drive marketing performance. You'll also learn…
Summary In today's episode, I break down the biggest data trends shaping marketing teams over the next two to five years, from privacy laws like California's CPRA to the rise of artificial intelligence in marketing workflows. Here's what this means for you. You'll walk away knowing which data to keep, which to discard, and how…
Summary In today's episode, I break down why bad data is the biggest pain point in data preparation and why no tool can fully fix it. Here's what this means for you. You'll realize that clean data is the foundation for any accurate reporting, forecasting, or machine learning effort. You'll also learn these concepts: how…
