Category: Videos

  • You Ask, I Answer: Predictive Analytics for Content Marketing?

    Summary In today's episode, I break down how predictive analytics can make your content more effective by exploring two main branchesโ€”predictive modeling and time series forecasting. Here's what this means for you. You'll discover how to focus on what works and time your content for maximum relevance and freshness. You'll also learn these concepts: how…

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  • You Ask, I Answer: What is the Marketing Data Science Lifecycle?

    Summary In today's episode, I walk through every stage of the data science lifecycle and explain why each step matters. Here's what this means for you. You get a clear roadmap for turning raw questions into tested, deployable models you can defend. You'll also learn these concepts: why defining the problem and stating a provable…

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  • Do Something With Your Marketing: Build a Burning Question

    Summary In today's episode, I walk through how to build a burning question before attending a marketing conference so you get real value from the experience. Here's what this means for you. You learn a focused framework that turns vague conference attendance into actionable answers for your most pressing professional challenges. You'll also learn these…

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  • You Ask, I Answer: Data Science Tools for Marketers?

    Summary In today's episode, I answer a viewer's question about the best tools for marketers who want to dig deep into their organization's data, walking through beginner, intermediate, and advanced options. Here's what this means for you. You'll see why matching tools to your skill level matters far more than chasing the fanciest software, because…

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  • You Ask, I Answer: Data Science Soft Skills?

    Summary In today's episode, I break down the seven essential soft skills marketers need to adopt a data science mindset and use data more effectively. Here's what this means for you. You'll discover that traits like curiosity and resilience actually form the foundation that drives you to develop analytical skills, not the other way around.…

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  • You Ask, I Answer: Analytics Uncovered By Data Science?

    Summary In today's episode, I explore what data science can uncover beyond basic analytics and how it transforms raw data into actionable insights. Here's what this means for you. You gain the ability to cut through data overload and focus on what actually drives your business results. You'll also learn these concepts: how four key…

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  • You Ask, I Answer: What is Data Science for Marketing?

    Summary In today's episode, I explain what data science really is, how it differs from analytics and AI, and why the scientific method sits at its core. Here's what this means for you. You'll see why applying rigorous hypothesis testing in your marketing efforts leads to reproducible, reliable insights instead of guesses. You'll also learn…

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  • You Ask, I Answer: Tragedy Response Guidelines for Marketers?

    Summary In today's episode, I break down five guidelines for deciding when and how a brand should respond to tragic events like celebrity deaths or public tragedies. Here's what this means for you. You get a clear decision framework that protects your brand from looking insensitive while ensuring you respond when it actually matters to…

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  • Off the Beaten Path: Year of the Rat

    Summary In today's episode, I explore the cultural symbolism of the Lunar New Year, specifically the Year of the Bright Metal Rat, and what its zodiac energy and elemental cycles might mean for how you approach the months ahead. Here's what this means for you. You get a fun thought exercise for framing decisions, confrontations,…

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  • You Ask, I Answer: Marketing Opportunities on Tiktok?

    Summary In today's episode, I answer a listener's question about whether TikTok offers real marketing opportunities for brands or ends up damaging their reputations. Here's what this means for you. You'll see how matching your audience demographics, content style, and cultural fit determines whether TikTok becomes a growth channel or a costly mistake. You'll also…

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