Month: February 2020

  • You Ask, I Answer: Measuring the Effectiveness of Marketing?

    Stephen asks, “What data points speak to the effectiveness of marketing? In a dashboard published to senior management the last pages of the pdf were dedicated to marketing data. It was visitors to the website, impressions from paid media, Facebook Likes, Twitter Followers, and another data point or two that to me put an undue…

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  • You Ask, I Answer: A/B Tests for Non-Random Situations?

    Kanako asks, “What are best practices for conducting A/B tests on non-random situations?” The short answer is for randomized controlled trials, there isn’t a best practice for doing things non-randomly. You need randomization to reduce the impact of confounding variables, and this is something marketers do wrong many, many times. Ways A/B tests go wrong:…

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  • You Ask, I Answer: Marketing Data Science for Traditional Sales?

    Jackie asks, “How does all this fancy data science kung fu hubbub help us, we’re a traditional sales company that only makes phone sales cold calls?” Data science is a methodology that can be applied to any data you happen to have. In the case of cold calling, as long as you have data about…

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  • You Ask, I Answer: Importance of Domain Authority in SEO?

    Shane asks, “What’s the validity of domain authority in the current SEO landscape where Google is telling us to focus on EAT? Should I be concerned about measuring domain authority or is it more of a metric that does more to stroke ego like media impressions?” The answer to this question requires some statistical knowledge.…

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  • You Ask, I Answer: Where To Start Using Marketing Data Science?

    Ashwin asks, “I have data around me related to campaigns – emails, phone calls, and survey data – so how should I start analyzing it?” First, let’s recall that marketing data science is about the application of the scientific method to data. Our first priority, then, is to use the data we have, techniques like…

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  • What is Ethics in Marketing?

    We live in challenging times as marketers. Our effectiveness is now dependent on so many different strategies, tactics, methodologies, partners, tools, and audiences that being effective sometimes appears to conflict with being ethical. Every day, we see stories in the news, in our social feeds, in our blogs about marketers crossing the line, doing dishonorable…

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  • You Ask, I Answer: Google Analytics Best Practices for Consistent Reporting?

    Talesa asks, “What tips do you have on Google Analytics best practices for consistent reporting? What do you look at monthly, quarterly, yearly, even daily?” Start with this simple question: what do you need to make decisions on at those frequencies? What decisions do you need to make daily, weekly, monthly, quarterly, and yearly? That…

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  • You Ask, I Answer: Marketing Data Science and Executive Buy-In?

    Albert asks, “What is the best way to sell the idea of marketing data science to executives that don’t see its value, without making them lose face or look bad?” Generally speaking, most executives want the same things – save money, save time, make money. Without pointing out specific failures, look for opportunities where a…

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  • You Ask, I Answer: Marketing Ethics and Data Collection?

    Oz asks, “There’s still the ethical questions that my marketing friends avoid: should Google even have all that data? How ethical is it to use that data? What about pending legislation that would hopefully criminalize lots of common data acquisition methods?” Two points I think are super important: minimum viable data, and behavior rather than…

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  • You Ask, I Answer: Marketing Ethics and Data Collection?

    Summary In today's episode, I unpack the ethical questions around Google's consumer data collection and what marketers should do about it. Here's what this means for you. You can cut your legal risk and boost your results by collecting only the data you can prove matters to your outcomes. You'll also learn these concepts: minimum…

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