Month: June 2018

  • You Ask, I Answer: Advice for Starting Out in Social Media

    Kat asks, “If a college student asked you the #1 thing they should be focusing on when it comes to social media, what would you tell them?” Social media is a big topic. From a business perspective, it encompasses advertising, marketing, PR, sales, customer service, investor relations, analyst relations – in other words, the entire…

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  • You Ask, I Answer: How to Identify Fake Influencers

    Grace asks, “There’s been a lot of news about people who fake being an influencer by buying followers and colluding with groups of influencers. How do you identify fake influencers?” Great question.  Let’s first discuss what brands actually want, even if they can’t measure it effectively. Awareness Engagement Action Second, let’s identify the ways someone…

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  • You Ask, I Answer: Community Management Fundamentals

    Eric asks, “What tips do you suggest for running groups on Facebook and LinkedIn that draw people in, nurture them, educate them with good content, and move them towards purchase?” Community management is both art and science. The framework I use and advise is the 6C framework: – Content – Conversation – Common Interest –…

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  • You Ask, I Answer: Are We Entering a Recession?

    Mohammed asks, “Are we entering a recession? Is a recession looming?” This was also the subject of a trending topic on LinkedIn. To understand the greater economic picture, we need to look at a basket of metrics. Watch the video for my analysis of almost two dozen economic indicators. Disclosure/disclaimer: I am in no way…

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  • You Ask, I Answer: Understanding the Data Lifecycle

    Kevin asks, “What’s the difference between unrefined and refined data?” As part of a larger discussion about metrics in marketing, Kevin’s question came up in reference to the importance of data. Unrefined data is as useful to business as crude oil is to a car – which is to say, it isn’t useful at all.…

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  • Friday Feeling: What Will Our Data Be Used For?

    One of the consequences of machine learning is that our data is part of a mosaic of data used for training. We’ve voluntarily given companies enormous amounts of information and while, historically, they’ve been really bad at using it in any meaningful way, that will change. Companies who want to get ahead of the curve…

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  • You Ask, I Answer: Choosing Data Science Software and Vendors

    Kerry asks, “How do you choose data science software if you’re not already a data science expert? My company is evaluating some vendors and I’m not sure what to ask.” By definition, a data science platform should be flexible enough and robust enough to fully embrace the classical scientific method. Be VERY suspicious of anyone…

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  • You Ask, I Answer: Barebones SEO for Small Business

    Julia asks, “How can a small business approach SEO when it doesn’t have the budget to hire an agency and it doesn’t have the in-house talent to do it?” Whenever we’re faced with a decision to buy or build, and we do not have the resources to buy, by default we must build. With the…

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  • You Ask, I Answer: Business Messaging and Collaboration

    Nick asks, “May I ask you, what business messenger or collaboration tool do you use? What feature or functionality is more valuable for you?” I use four business messaging platforms in the work I do: Slack for my company and many others Watson Workspace for my work with IBM LinkedIn Messages for outreach Facebook Messenger…

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  • You Ask, I Answer: What is Customer Experience?

    Adam asks, “What is customer experience? Is it the same as customer service?” Modern customer experience management, as a discipline and a profession, is an amalgamation and evolution of four sub-disciplines: Voice of the Customer (1993) Design Thinking and UX Analytics, AI, and Big Data Champions and Defenders Watch the video for full details and…

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