In today’s episode, we answer the question, “What does data-driven mean?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Got a question for You Ask, I’ll Answer? Submit it here! Subscribe to my weekly newsletter for more useful marketing tips. Find older episodes of You…
Summary In today's episode, I unpack what being data-driven really means using a GPS analogy and why most companies aren't actually data-driven today. Here's what this means for you. You'll gain a sharper lens for separating true data-driven tools from software that only reports on the past. You'll also learn these concepts: how real data-driven…
Summary In today's episode, I break down the impact of artificial intelligence and machine learning on content marketing into three distinct categories. Here's what this means for you. You can still build a long and fulfilling career as a content marketer if you focus on consistently producing great work that machines cannot yet replicate. You'll…
Summary In today's episode, I interview Manjing Du from TalkWalker about practical AI and NLP challenges in production data science. Here's what this means for you. You gain a grounded view of how contextual embeddings, bias mitigation, and model drift play out in real industry work. You'll also learn these concepts: why transformer-based models solve…
Summary In today's episode, I discuss how data science applies to marketing, walk through exploratory data analysis with real SEO data, and explain why the scientific method matters more than the tools you use. Here's what this means for you. You'll stop treating data science as magical black-box work and start seeing it as a…
Summary In today's episode, I explain why I refuse to recommend new business intelligence tools for marketers and what they should pursue instead. Here's what this means for you. You'll stop chasing shinier platforms and start building the skills that actually make any tool work for you. You'll also learn these concepts: why business intelligence…
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…
Summary In today's episode, I explore the most useful analytics for tracking conversion impact and explain why there is no single universal formula for measuring marketing success. Here's what this means for you. You'll discover a practical framework for choosing the right analytical method based on the data you actually have available. You'll also learn…
Paul asks, “Looking back on the way you learned about AI, is there anything you wish you would’ve figured out first?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Got a question for You Ask, I’ll Answer? Submit it here! Subscribe to my weekly newsletter…
Summary In today's episode, I break down the four foundational areas every machine learning and data science learner needs to master. Here's what this means for you. You'll get a clear self-assessment framework to identify your strongest and weakest skills so you can target your professional development more effectively. You'll also learn these concepts: why…
