Category: Videos

  • You Ask, I Answer: Liability for Marketing AI Models?

    Summary In today's episode, I break down who bears legal liability when AI models cause harm or violate marketing and discrimination laws. Here's what this means for you. You discover that as the end user, you typically assume full responsibility for how you deploy AI in your business, not the vendor who built it. You'll…

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  • So What? The Marketing Analytics and Insights Live Show

    Summary In today's episode, I walk through a practical SEO audit workflow that combines multiple data sources to find and fix underperforming pages on your website. Here's what this means for you. You gain a repeatable system for prioritizing SEO improvements so you stop guessing what to fix and start making changes that actually move…

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  • You Ask, I Answer: Vetting Marketing AI Vendors for Bias?

    Summary In today's episode, I break down how to vet AI and machine learning vendors for bias by walking through the six areas where bias commonly creeps into their systems. Here's what this means for you. You gain a practical due-diligence framework you can apply to any vendor relationship so you avoid partnering with companies…

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  • You Ask, I Answer: Difference Between Fair and Unfair Bias?

    Summary In today's episode, I break down the difference between fair and unfair bias in AI and machine learning, and explain why laws and values define the line between acceptable targeting and illegal discrimination. Here's what this means for you. You bear personal liability whenever your models disadvantage protected classes, even if you never intended…

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  • You Ask, I Answer: Third Party Data and Trustworthiness?

    Summary In today's episode, I explore whether you can trust public datasets and pre-trained models from vendors like Amazon and Google to be free of bias in your machine learning work. Here's what this means for you. You gain a risk-based framework for deciding when to build your own model versus when you can rely…

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  • You Ask, I Answer: Most Common Biases in Marketing AI?

    Summary In today's episode, I break down the two most common statistical biases that quietly wreck marketing research and AI models. Here's what this means for you. You'll gain a practical framework for spotting bias before it corrupts your data and leads your team to bad decisions. You'll also learn these concepts: why confirmation bias…

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  • You Ask, I Answer: Data Democratization and AI?

    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…

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  • You Ask, I Answer: Attention Spans and Content Marketing?

    Summary In today's episode, I dismantle the myth that shrinking attention spans are killing long-form content and show why quality is the real culprit. Here's what this means for you. You'll reframe your marketing mindset from competing for scarce attention to competing with Netflix, Disney+, and Spotify on quality. You'll also learn these concepts: why…

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  • You Ask, I Answer: Bottom of Funnel Content for Conversion?

    Summary In today's episode, I break down how to craft bottom-of-the-funnel content that matches the emotional drivers behind purchase decisions and backs them up with rational proof. Here's what this means for you. You'll align your offers with what buyers actually feel at the moment of purchase, lifting conversion rates without changing your product. You'll…

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  • You Ask, I Answer: Content for Middle of Funnel Marketing?

    Summary In today's episode, I break down the four fundamental types of content that work best at the middle of the marketing funnel for turning aware prospects into qualified leads. Here's what this means for you. You gain a clear framework for matching your content to the specific kind of demand your audience brings so…

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