Month: May 2019

  • You Ask, I Answer: Will Automated Machine Learning Make Data Scientists Obsolete?

    Sheedeh asks, “Will new advances like automated machine learning make data scientists obsolete?” Most definitely not, though I can understand why that’s a concern. AI is currently automating a fair number of tasks that data scientists do, but those tasks are relatively low value. I’ve had a chance to test out a bunch of automated…

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  • You Ask, I Answer: Machine Learning and Consumer Sentiment?

    Denis asks, “How do you think AI will be applied to better understand consumer sentiments?” Sentiment analysis continues to substantially improve in machine learning, in natural language processing, as our technology improves. We’ve gone from very simple, frequently wrong approaches such as bag of words to very fast, complex systems like vectorization, all the way…

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  • You Ask, I Answer: Starting Marketing Data?

    Magdalena asks, “If you have a new company or a new startup in marketing, how do you get started with no data?” This is a common question not only for new companies, but also for people new to a role who are coming into an organization where data may not be trustworthy or analytics software…

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  • You Ask, I Answer: Social Platforms to Leave Behind

    Lisa asks, “Which social platforms do you wish you could (or are planning to) leave behind?” Without a doubt, Facebook. On the one hand, it’s a rich source of data. On the other hand, it’s an unethical company that is willfully permitting hostile foreign agents to manipulate societies with no serious effort at prohibiting such…

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  • You Ask, I Answer: What Makes Engaging Content?

    Lisa asks, “Think about brands you (as a consumer) trust and engage with most often online. Why does their content prompt you to engage?” We’ve all read many answers to this question over the years, and in the end, a consistent answer does exist. For creators, we use the 3L framework. For consumers, we use…

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  • You Ask, I Answer: Biggest Time Wasters in Content Marketing?

    Lisa asks, “What are the biggest time wasters that plague content marketing programs?” Before we can answer this question, we have to define what a time waster is. Is it something that won’t work, won’t generate results? Is it something for which the process is so contentious and difficult that it’s not worth doing, like…

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  • You Ask, I Answer: Biggest Email Marketing Mistakes?

    Lisa asks, “What are the biggest mistakes you’re seeing in email marketing?” The top mistakes fit nicely into Bob Stone’s direct response framework from 1968: list, offer, creative. List: Do you have the right list? How much effort do you put into getting the right people on your list? Offer: When you do sell, are…

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  • You Ask, I Answer: Content Marketing Home Runs?

    Lisa asks, “What does a home run look like in your content marketing?” This is an interesting question because of the analogy. What happens more – home runs or runs batted in (RBI)? The answer is the RBI, by a factor of 2-3x. It’s great when you get the occasional home run that drives your…

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  • You Ask, I Answer: Tools Missing From Content Marketers Tech Stacks?

    Lisa asks, “What tools do you think are missing from most content marketers tech stack?” Without a doubt, the ability to know what content is resonating, either by individual channel or by owned media content. This is a giant blind spot I experienced for myself, and one of the reasons I wrote software for Trust…

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  • How to Evaluate a Big Idea in Marketing and Business

    We love Big Ideas. We court them, we share them, we follow them. We pay hundreds or thousands of dollars to conferences so that speakers can share their Big Ideas with us. Yet, at the end of the day – or the end of the quarter, or the end of the year – when we’re…

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