Month: August 2020

  • You Ask, I Answer: Getting Started With Data-Driven SWOT Analysis?

    Talesa asks, “How do you chip away at the progression of creating a data driven swot analysis on a small team that doesn’t already possess all the key skills?” In regard to a SWOT analysis using data, the place to start is to identify what data you do have, and whether it’s of any use…

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  • You Ask, I Answer: Getting Started With Data-Driven SWOT Analysis?

    Summary In today's episode, I walk through how to chip away at building a data-driven SWOT analysis on a small team that lacks key data skills. Here's what this means for you. You gain a practical starting framework for turning limited resources into actionable competitive intelligence. You'll also learn these concepts: how to identify which…

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  • You Ask, I Answer: Can AI Write as Well as a Human?

    Deborah asks, “Can AI write as well as a human?” The answer depends on what the human is writing. If it’s complex, original works like novels, the answer is no. If it’s marketing swill, the answer is yes. If we examine some common readability metrics – which are decent proxies for content quality – we…

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  • You Ask, I Answer: Can AI Write as Well as a Human?

    Summary In today's episode, I answer a viewer's question about whether AI can write as well as humans by examining the quality spectrum of marketing content and what that means for writers. Here's what this means for you. Your competitive edge as a marketer depends on rising above mediocre writing because machines are already matching…

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  • You Ask, I Answer: Social Media Failures and Company Impact?

    Kat asks, “we hear all the time that when a company has a public misstep, that they will face impact them negatively, but there’s never been any type of relevant study that dives into this topic of social/digital reviews and brand impact/stock price/revenue. Have you seen anything?” The challenge with using any public form of…

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  • You Ask, I Answer: Merging Liberal Arts with Computer Science?

    Mbeiza asks, “Merging Liberal arts with science helps make what one has to offer unique. How can I merge the liberal arts with what I want to do in order to have a unique skill or product to offer?” Fundamentally, a successful marketer has to be both qualitative and quantitative – the ability to be…

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  • You Ask, I Answer: Merging Liberal Arts with Computer Science?

    Summary In today's episode, I explore why merging liberal arts with science creates a uniquely valuable skill set and answer Mbeza's question about combining creative and technical disciplines. Here's what this means for you. You gain a framework for building versatile expertise that artificial intelligence struggles to replicate. You'll also learn these concepts: why you…

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  • You Ask, I Answer: Why do Recommendation Engines Fail?

    Oz asks, “Why is some consumer AI so bad? Instagram senses that I like bright-colored clothes. Then it shows me ads for bright-colored clothes that are also cheap crap that I’d never buy. What is the perspective of the companies? – It works great for most people. – We just need to get this right…

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  • You Ask, I Answer: Why do Recommendation Engines Fail?

    Summary In today's episode, I explore why consumer AI recommendation engines often deliver frustratingly poor results, using Instagram ads as a prime example. Here's what this means for you. You'll understand the business and technical forces behind bad ad targeting so you can better diagnose why your own marketing campaigns underperform. You'll also learn these…

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  • Saturday Night Data Party: Discord

    Summary In today's episode, I compare Slack and Discord communities using inbound link data from SEO software. Here's what this means for you. You'll discover which platform suits your marketing audience based on community size, growth, and topical focus. You'll also learn these concepts: how code reusability speeds up analysis across datasets, why Discord's pandemic-era…

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