The Data Digest: Profiling Digital Dads

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Reineke Reitsma

One of the responsibilities of my role includes analyzing data in complex ways to help our clients understand how their target groups behave and if there are more relevant ways to segment them based on the results. However, sometimes it just makes sense to take a step back and look at some basic demographic profiles as a starting point for further analysis. We developed a new deliverable that we call Demographic Overview, and we kicked off the series with digital dads, followed by digital moms, and these will soon be complemented with digital natives and digital Seniors.

So why is it important for companies to look at dads? Forrester’s Technographics® data shows that s lightly more than one-third of US online men ages 18 to 50 are parents of a child younger than 18 living with them. Companies need to understand how the digital profile of dads differs from non-dads, as their behaviors influence the tech behaviors of their kids.

Some of our findings include that in general, dads are more likely to use the Internet as a resource, while non-dads are more active in entertainment-focused activities such as social networking. But dads know how to use social media to get their point across: 72% of dads who regularly engage in social activities have posted a review of a product or service on Twitter in the past 12 months, as compared with only 57% of non-dads.

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How demographics matter in B2B tech adoption

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Tom Grant

In case you wanted to attend tonight's open house on the demographics of B2B technology adoption, here's a pertinent diagram from a recent publication on the subject. As you can see, when they look for information, two people in the same department—an application developer and an enterprise architect—go to very different sources.

  • Conclusion 1: Demographics matter. A lot.
  • Conclusion 2: If you say that your target customer is developers, you need to take a big product marketing time-out. Not all development professionals are the same. Now march up to your room and think about that.

As important as conclusion 1 may be, it's not exactly profound. Sure, we all know that people are different, but what are the significant differences? And how should these variations affect the way we market our technology to rank-and-file developers versus the fancy-pants enterprise architects?

Many efforts at persona development break down at the very beginning, with the question, How many different personas do I need? There's no obviously correct answer to that question, especially when you haven't seen the data that indicates which demographic differences are significant, and which aren't. (Leaving aside the practical question of how many personas you can actually produce.)

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