Category: Data Science

  • The Impact of Government Shutdown on Marketing Data

    Itโ€™s difficult to understate how disruptive the shutdown is to everyone, not just the people who directly work for Uncle Sam, or just how long the aftereffects will last. Before I say anything else, I want to make clear that the people who have been forced against their will to work for free for nearly…

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  • You Ask, I Answer: Digital Marketing in Recessions and Predictive Analytics

    Lisa asks, “What are your thoughts on the evolving nature of digital marketing and predictive analytics for the next year?” Marketing will be dealing with economic headwinds in 2019. Anyone looking at leading economic indicators sees the writing on the wall – a recession in 12-18 months driven in part by inept economic policies. Thus,…

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  • Trust Insights 2019 Marketing Trends Report

    I’m pleased to share the brand new, data-driven 2019 Marketing Trends Report from Trust Insights. Unlike other trends reports and forecasts which are purely qualitative in nature or just vendor promotions, this report looks at 3,627 popular marketing searches and forecasts them, using machine learning, over the next 52 weeks to determine what’s going to…

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  • You Ask, I Answer: How to Measure Brand Awareness

    Ciri asks, โ€œWhatโ€™s the best way to measure brand awareness? Among all the searching Iโ€™ve done, it seems like people have a lot of different takes on measuring brand awareness.โ€ The gold standard for how to measure brand awareness is unaided recall among your target audience, which typically requires a significant (five to six figures)…

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  • You Ask, I Answer: Email Marketing Tools in 2019

    Roger asks, “If you could only use 3 marketing tools for your email list in marketing campaigns which 3 would you choose?” There’s an easy answer and an answer which will give you a competitive advantage. The easy answer is a solid martech stack – comprehensive web analytics, great marketing automation (which includes email), and…

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  • You Ask, I Answer: How Can Marketers Fix Dirty Data?

    Gini asks, “OK! I have questions! Let’s assume the data is a mess or “dirty”, how can a communicator or marketer figure out what’s missing, where the holes are, or why something isn’t working?” This is a process known as exploratory data analysis (EDA), and it’s a formal discipline within data science. Learn what EDA…

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  • You Ask, I Answer: How To Make Use of Historical Data and Analytics

    Jim asks, “My organization has years of data stored up. What can we do with it?” Fundamentally, you can take two approaches to your data – making it work for your organization, and then making it work for other organizations. Learn these two approaches and the hierarchy of analytics in this video. Can’t see anything?…

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  • You Ask, I Answer: 2019 Social Media Strategy

    Jenny asks, “What’s the best resource for 2019 social media strategy development?” The same as 2018! The overall strategy, the why – use social media to accomplish business goals – doesn’t change. What changes is the what and the how. Watch the video for details about how to build your 2019 social media strategy. Can’t…

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  • Fun Fact Friday: Feature Engineering

    In this episode, we talk about feature engineering and text, especially social media content. Social media text is often accompanied by very little data, so what can we do to enhance and expand it? That’s feature engineering. Watch the video for details about what kinds of features we can add to social media content to…

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  • Fun Fact Friday: Just How Much Data Is A Zettabyte?

    One of the starting points for my keynote speech on artificial intelligence is that, as a civilization, humanity will create approximately 30 zettabytes of data in 2018 according to IDC. But just how much is a zettabyte? Watch this video to learn what a zettabyte is in Netflix terms, plus other stunning Internet usage facts.…

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