Month: October 2015

  • You probably don’t need a marketing dashboard

    I love a good dashboard. The challenge of assembling one, of unifying data sources, of cleaning, transforming, and showcasing your data is fun. (This version of fun is why no one invites me to parties.) Despite all this, most of the dashboards I have seen in my career are useless. In fact, they are worse…

    Continue reading →

  • Polls on Twitter Gone Wild

    Marketers are abuzz with polls on Twitter. To quote The Flash’s Harrison Wells… I do caution restraint. Here’s why: Twitter polls are no more scientific or representative than sending out an email to your mailing list. Additionally, Twitter does not provide any kind of data which can be used for weighting. Let’s look at an…

    Continue reading →

  • Don’t measure what you won’t change

    Don’t measure what you won’t change. This is my central message of a talk I gave at the MarketingProfs B2B Forum on social media analytics. We’ve got tons of social media data, more than ever. We can download analytics from most social media platforms in excruciating detail. Yes, Facebook actually gives you 10+ tabs of…

    Continue reading →

  • The purpose of marketing

    On a recent episode of the excellent Marketing Companion podcast, friend and colleague Tom Webster mused that marketers are in danger of elimination if all we do is write down what salespeople say, that the gap between customer and sale has virtually vanished. If you haven’t listened to the episode, you’ll find it here. The…

    Continue reading →

  • The litmus test for influencer disclosure

    As you’ve no doubt read, the FTC has increased its scrutiny of social media influence. Above and beyond what the FTC requires as the minimums for disclosure, what else do you need to consider? The litmus test you should apply to yourself for disclosure is this: what makes you change your speech? For example, as…

    Continue reading →

  • The rise of the Citizen Analyst

    Disclosure: IBM sponsored my attendance at their Analytics For All event. I had the privilege recently to attend the 1st birthday of IBM’s Watson Analytics at their Analytics for All conference, which was a terrific event showcasing how the tool has progressed over a year. One phrase stuck in my mind, however, that I want…

    Continue reading →

  • IBM Watson Analytics Does Twitter Hashtags

    Disclosure: IBM sponsored my attendance at their Analytics For All event. This post was written prior to the event. I’ve written and spoken about IBM’s Watson (yes, the supercomputer that won Jeopardy) Analytics, and how it’s affordable Big Data analytics for marketers (for most small and medium businesses, $30 a month). IBM has upped the…

    Continue reading →

  • You probably don’t know the answer

    At the recent Louisville Digital Association Digital Media Summit, I was finally privileged enough to meet one of my marketing mentors, Roger Dooley. If you’re not familiar with him, Roger is the pre-eminent expert in neuromarketing, the use of behavioral psychology and neurology in marketing. In his presentation, he reviewed a few of the non-intuitive…

    Continue reading →

  • Exclude marketers for better social media influencer analytics

    In social media marketing, we often want to identify social influencers to understand who we need to be interacting with. However, our fellow marketers often obscure the landscape by filling it with marketing and promotion. Do a simple search in the social media monitoring tool of your choice and you’ll likely see 500% more promotion…

    Continue reading →

  • Data quality and its impact on marketing analytics

    When it comes to data, there are three C’s, three key factors that can impact your data. I discussed these at length in Marketing Blue Belt, but I wanted to reiterate one here that I screwed up royally. The 3 C’s of good data are chosen well (selection), compatible (format), and clean. Recently, I was…

    Continue reading →