Category: Videos

  • You Ask, I Answer: Tools or Concepts in Marketing Data Science?

    Summary In today's episode, I break down why mastering concepts matters far more than memorizing tools in marketing data science. Here's what this means for you. You'll build transferable analytical skills that survive any software change and let you troubleshoot problems no auto-ML system can catch. You'll also learn these concepts: why correlated variables like…

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  • You Ask, I Answer: Link in Bio Solutions for Instagram?

    Summary In today's episode, I break down why you should ditch third-party Instagram link in bio platforms like Linktree and roll your own simple solution instead. Here's what this means for you. You save money, gain control over your data and analytics, and avoid the risk of vendors raising prices or disappearing overnight. You'll also…

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  • You Ask, I Answer: Dealing With Duplicate Content and SEO?

    Summary In today's episode, I break down how Google actually handles duplicate content and what it means for your SEO strategy when publishing across multiple sites. Here's what this means for you. You'll discover why giving away your best content to bigger publishers can silently drain traffic and authority from your own site. You'll also…

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  • You Ask, I Answer: How to Change a Podcast’s Brand?

    Summary In today's episode, I walk through the precautionary steps for rebranding a podcast—including changing the title, description, and artwork—without losing search visibility or audience momentum. Here's what this means for you. You can rebrand your show smoothly by treating it like a website migration, keeping the RSS feed stable, and giving listeners a structured…

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  • You Ask, I Answer: Making Instructional Screencasts?

    Summary In today's episode, I recommend screen recording software for creating instructional videos and break down why thoughtful planning matters more than the tool itself. Here's what this means for you. You get a practical framework for picking software, structuring content, and adding professional touches like cursor highlights and picture-in-picture. You'll also learn these concepts:…

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  • You Ask, I Answer: Different Types of Writing Careers?

    Summary In today's episode, I answer a listener's question about pivoting from an unhappy marketing manager role into a writing career that matches her real passion. Here's what this means for you. You'll see that there's a robust market for skilled writers across many paths, and AI won't displace human creativity because machines can only…

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  • You Ask, I Answer: Recording Better Video on Smartphone?

    Summary In today's episode, I answer Linda's question about how to record good video quickly and easily, and I show you that the phone rarely causes the trouble. Here's what this means for you. You'll discover that lighting, stabilization, and audio create most bad smartphone video, and you'll fix all three with simple, inexpensive gear.…

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  • You Ask, I Answer: The ROI of Data Quality?

    Summary In today's episode, I explore why organizations treat data quality as overhead instead of an investment and what that mindset costs them. Here's what this means for you. You discover how investing in clean data dramatically improves your analysis results and your decision-making accuracy. You'll also learn these concepts: why naively trusting machine-generated data…

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  • You Ask, I Answer: Marketing Data Science Hypothesis Formation?

    Summary In today's episode, I break down why struggling with hypothesis formation is rarely about having too little data and almost always about skipping the foundational steps of the scientific method. Here's what this means for you. You gain a clear framework for crafting testable, single-condition hypotheses that produce reliable, actionable marketing insights. You'll also…

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  • You Ask, I Answer: Marketing Data Science Hypothesis Creation?

    Summary In today's episode, I tackle Jessica's question about how data scientists create models when they don't know your business. Here's what this means for you. You discover that domain expertise is one of four essential pillars of data science, and skipping it guarantees wasted time, wasted money, and surface-level results. You'll also learn these…

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